diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..6be1b6b62c2fad1132837ae9928b0b67864c8d54 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +scheduler/vendor/ +scheduler/bin/ +*.pkl \ No newline at end of file diff --git a/Readme.md b/Readme.md new file mode 100644 index 0000000000000000000000000000000000000000..e73410a49d4e7bbde83f927e971f152ffbd9056e --- /dev/null +++ b/Readme.md @@ -0,0 +1,203 @@ + + + +# Sparse: 面向深度推荐系统训练的GPU资源调度系统 + +## 项目概述 +本项目是针对深度推荐系统训练（DLRS）场景下的GPU资源调度问题，提出： +1. **精准资源预测算法**：融合模型结构特征（如大Embedding层） +2. **最小争用调度器**：基于性能干扰分析的GPU共享策略 +3. **低延迟优化**：数据依赖感知的亲和性调度 +4. **生产级K8s集成**：完整集成在k8s调度框架 + +> 📌 **核心价值**：在同等硬件条件下，相比K8s默认调度器**提升集群利用率50%-133%**，减少任务完成时间14% + +## 技术亮点 +### 1. 资源需求预测模型 +| 预测目标 | 算法 | 创新点 | +| -------- | ---------------- | ----------------------------------------- | +| GPU算力 | 随机森林回归 | 分析稀疏特征对FP32核心/显存带宽的独特影响 | +| GPU显存 | 二阶多元线性回归 | 量化Embedding表大小与显存占用的非线性关系 | + +**精度**：R²=0.86（优于Horus等基线） + +### 2. 最小争用调度算法 +```python +def schedule(jobs, nodes): + # 目标函数：最小化全局争用值 + minimize Σ( Interference(job_i, job_j) * X_ij ) + # 约束：GPU显存容量、任务拓扑依赖等 + subject to mem_constraint & affinity_constraint +``` +- **动态干扰评估**：实时分析共置任务对JCT（任务完成时间）的影响 +- **混合部署策略**：避免稀疏训练任务(Wide&Deep)与计算密集型任务(BERT/YOLO)争用 + +### 3. 低延迟优化策略 +```mermaid +graph LR + A[Embedding DB] -->|远程查询| B[训练节点] + C[本地缓存代理] -->|缓存命中| B + B -->|亲和性调度| A +``` +- **拓扑感知调度**：将Embedding消费者与存储节点同机柜部署 +- **分级缓存**：DaemonSet实现节点级Embedding缓存 + +## 快速开始 +### 环境要求 +- Kubernetes ≥ v1.20 +- NVIDIA GPU Operator已部署 +- Prometheus（用于指标采集） + +### 算法部署 + +#### 部署CRD + +需运行的文件位于crd-controller/config的crd文件夹和default + +运行指令 + +``` +kubectl apply -k ./crd-controller/config/crd +kubectl apply -k ./crd-controller/config/default +``` + +#### 部署scheduler + +运行指令 + +``` +kubectl apply -f ./scheduler/yaml/kube-gpu-sparse-scheduler.yaml +kubectl apply -f ./scheduler/yaml/node-conf.yaml +``` + +**需要注意的是**，要修改kube-gpu-sparse-scheduler.yaml中的镜像地址 + +``` + containers: + - command: + - /usr/local/bin/kube-scheduler + - --config=/etc/kubernetes/config/kube-gpu-sparse-scheduler-config.yaml + - --v=4 + image: +``` + +同时也要修改，node-conf.yaml中的信息 + +``` +apiVersion: v1 +kind: ConfigMap +metadata: + name: kube-gpu-sparse-scheduler-node-conf + namespace: kube-gpu-sparse +data: + config.yaml: | + ## Prometheus configuration for monitoring (optional) + prometheus: + host: "http://prometheus.monitoring.svc.cluster.local:9090" ## Prometheus server endpoint + + ## GPU node configuration list + nodes: + ## First GPU node - Basic configuration with older GPU model + - name: gpu-node-01 ## Unique node identifier + ip: 10.0.1.100 ## Node IP address + gpu: 2 ## Number of GPUs on this node + gpu-mem: 16 ## Total GPU memory in GB (8GB per GPU) + model: GTX1080Ti ## GPU model/type + uuids: [ ## GPU device UUIDs (get via nvidia-smi -L) + "GPU-12345678-1234-1234-1234-123456789abc", + "GPU-87654321-4321-4321-4321-cba987654321" + ] + network: eth0 ## Primary network interface + network_bandwidth_bytes: 1073741824 ## Network bandwidth in bytes (1GB/s) + region: zone-a ## Logical region/zone for scheduling + + ## Second GPU node - High-end configuration + - name: gpu-node-02 ## Unique node identifier + ip: 10.0.1.101 ## Node IP address + gpu: 4 ## Number of GPUs on this node + gpu-mem: 64 ## Total GPU memory in GB (16GB per GPU) + model: RTX3090 ## GPU model/type + uuids: [ ## GPU device UUIDs + "GPU-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee", + "GPU-ffffffff-gggg-hhhh-iiii-jjjjjjjjjjjj", + "GPU-kkkkkkkk-llll-mmmm-nnnn-oooooooooooo", + "GPU-pppppppp-qqqq-rrrr-ssss-tttttttttttt" + ] + network: bond0 ## Bonded network interface for higher bandwidth + network_bandwidth_bytes: 10737418240 ## Network bandwidth in bytes (10GB/s) + region: zone-b ## Different region for load balancing + + ## Third GPU node - Enterprise configuration + - name: gpu-node-03 ## Unique node identifier + ip: 10.0.1.102 ## Node IP address + gpu: 8 ## Number of GPUs on this node + gpu-mem: 320 ## Total GPU memory in GB (40GB per GPU) + model: A100 ## High-end enterprise GPU model + uuids: [ ## GPU device UUIDs + "GPU-11111111-2222-3333-4444-555555555555", + "GPU-66666666-7777-8888-9999-aaaaaaaaaaaa", + "GPU-bbbbbbbb-cccc-dddd-eeee-ffffffffffff", + "GPU-gggggggg-hhhh-iiii-jjjj-kkkkkkkkkkkk", + "GPU-llllllll-mmmm-nnnn-oooo-pppppppppppp", + "GPU-qqqqqqqq-rrrr-ssss-tttt-uuuuuuuuuuuu", + "GPU-vvvvvvvv-wwww-xxxx-yyyy-zzzzzzzzzzzz", + "GPU-00000000-1111-2222-3333-444444444444" + ] + network: ens192 ## Standard network interface + network_bandwidth_bytes: 21474836480 ## Network bandwidth in bytes (20GB/s) + region: zone-c ## Third availability zone + +## Additional notes: +## 1. GPU UUIDs can be obtained by running: nvidia-smi -L +## 2. Network bandwidth should be measured in bytes per second +## 3. GPU memory is per-node total (sum of all GPUs on that node) +## 4. Regions can be used for affinity/anti-affinity scheduling +## 5. Network interface names vary by system (eth0, ens192, bond0, etc.) +## 6. IP addresses should be reachable within your cluster network +``` + +#### 部署webhook + +``` +kubectl apply -f ./webhook/yaml +``` + +**需要注意的是**，需要修改webhook/yaml/deployment.yaml中的image + +``` +containers: + - name: resource-analyze-webhook + image: +``` + +## 性能对比 +### 任务完成时间（Makespan） +| 调度器 | 高负载场景 | 持续提交场景 | +| ---------------- | ---------- | ------------ | +| Kube-Exclusive | 100% | 100% | +| Kube-Shared | 92% | 89% | +| **Sparse(Ours)** | **78%** | **85%** | + +## 架构设计 +```mermaid +graph TD + A[API Server] -->|Webhook| B[需求预测模块] + B -->|写入Annotation| C[调度队列] + C --> D[调度器核心] + D -->|决策| E[节点过滤器] + E -->|绑定| F[GPU节点] + G[缓存DaemonSet] -->|本地缓存| F +``` + +## 参与贡献 +欢迎提Issue或PR！建议贡献方向： +- 扩展模型支持（如Transformer-based推荐模型） +- 集成MPS(Multi-Process Service)优化 +- 开发静态代码分析器自动提取模型特征 + + + +## 许可证 +Apache 2.0 © 2023 PHILLI LEE + +--- diff --git a/config-map-server/Dockerfile b/config-map-server/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..d267aa3b691fea9e9f45c785a30c28447f2c02fe --- /dev/null +++ b/config-map-server/Dockerfile @@ -0,0 +1,5 @@ +FROM debian:10 + +COPY config-map-modify-server /config-map-modify-server + +ENTRYPOINT ["sh", "-c", "sleep infinity"] \ No newline at end of file diff --git a/config-map-server/README.md b/config-map-server/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7344a0872b5118d299ed635469061aa3f5cfe77d --- /dev/null +++ b/config-map-server/README.md @@ -0,0 +1,22 @@ +# ConfigMapServer + +修改configMap，给Scheduler调用 + +## 设计 + +``` +GET /api/config-map/upsert +PARAMS +{ + "name": "xxx" // config-map-name，约定为${POD_NAME}-nvidia-gpu-env + "namespace": "xxx" + "gpu": "xxx" // gpu uuid +} +RESP 200 success +``` + +创建config-map并设置NVIDIA_VISIBLE_DEVICES的uuid + +## 部署 + +- `kubectl apply -f yaml/` \ No newline at end of file diff --git a/config-map-server/config-map-modify-server b/config-map-server/config-map-modify-server new file mode 100755 index 0000000000000000000000000000000000000000..92b7f93e7f7888637d9f6b94b0007fc406f7b7d2 Binary files /dev/null and b/config-map-server/config-map-modify-server differ diff --git a/config-map-server/go.mod b/config-map-server/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..aeea1fb6e3ecb8a6d98a38f4d8dedeca4a6af734 --- /dev/null +++ b/config-map-server/go.mod @@ -0,0 +1,47 @@ +module kube-gpu/scheduler/config-map-modify-server/v2 + +go 1.19 + +require k8s.io/client-go v0.27.2 + +require ( + github.com/davecgh/go-spew v1.1.1 // indirect + github.com/emicklei/go-restful/v3 v3.9.0 // indirect + github.com/go-logr/logr v1.2.3 // indirect + github.com/go-openapi/jsonpointer v0.19.6 // indirect + github.com/go-openapi/jsonreference v0.20.1 // indirect + github.com/go-openapi/swag v0.22.3 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/golang/protobuf v1.5.3 // indirect + github.com/google/gnostic v0.5.7-v3refs // indirect + github.com/google/go-cmp v0.5.9 // indirect + github.com/google/gofuzz v1.1.0 // indirect + github.com/google/uuid v1.3.0 // indirect + github.com/imdario/mergo v0.3.6 // indirect + github.com/josharian/intern v1.0.0 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/mailru/easyjson v0.7.7 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 // indirect + github.com/spf13/pflag v1.0.5 // indirect + golang.org/x/net v0.8.0 // indirect + golang.org/x/oauth2 v0.0.0-20220223155221-ee480838109b // indirect + golang.org/x/sys v0.6.0 // indirect + golang.org/x/term v0.6.0 // indirect + golang.org/x/text v0.8.0 // indirect + golang.org/x/time v0.0.0-20220210224613-90d013bbcef8 // indirect + google.golang.org/appengine v1.6.7 // indirect + google.golang.org/protobuf v1.28.1 // indirect + gopkg.in/inf.v0 v0.9.1 // indirect + gopkg.in/yaml.v2 v2.4.0 // indirect + gopkg.in/yaml.v3 v3.0.1 // indirect + k8s.io/api v0.27.2 // indirect + k8s.io/apimachinery v0.27.2 // indirect + k8s.io/klog/v2 v2.90.1 // indirect + k8s.io/kube-openapi v0.0.0-20230501164219-8b0f38b5fd1f // indirect + k8s.io/utils v0.0.0-20230209194617-a36077c30491 // indirect + sigs.k8s.io/json v0.0.0-20221116044647-bc3834ca7abd // indirect + sigs.k8s.io/structured-merge-diff/v4 v4.2.3 // indirect + sigs.k8s.io/yaml v1.3.0 // indirect +) diff --git a/config-map-server/go.sum b/config-map-server/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..ec105ffd96f868569638cad13981a69192db884f --- /dev/null +++ b/config-map-server/go.sum @@ -0,0 +1,484 @@ +cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= 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"os" + "path/filepath" + "time" + + v1Core "k8s.io/api/core/v1" + v1 "k8s.io/apimachinery/pkg/apis/meta/v1" + "k8s.io/client-go/kubernetes" + "k8s.io/client-go/rest" + "k8s.io/client-go/tools/clientcmd" +) + +var ( + clientset *kubernetes.Clientset +) + +func LogErr(format string, v ...interface{}) { + fmt.Printf("[Error] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func LogInfo(format string, v ...interface{}) { + fmt.Printf("[Info] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func LogWarn(format string, v ...interface{}) { + fmt.Printf("[Warn] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func init() { + var err error + var config *rest.Config + var kubeconfig *string + + if home := os.Getenv("HOME"); home != "" { + kubeconfig = flag.String("kubeconfig", filepath.Join(home, ".kube", "config"), "(optional) absolute path to the kubeconfig file") + } else { + kubeconfig = flag.String("kubeconfig", "", "absolute path to the kubeconfig file") + } + flag.Parse() + + // 使用 ServiceAccount 创建集群配置（InCluster模式） + if config, err = rest.InClusterConfig(); err != nil { + // 使用 KubeConfig 文件创建集群配置 + if config, err = clientcmd.BuildConfigFromFlags("", *kubeconfig); err != nil { + panic(err.Error()) + } + } + + // 创建 clientset + clientset, err = kubernetes.NewForConfig(config) + if err != nil { + panic(err.Error()) + } +} + +func upsertConfigMap(w http.ResponseWriter, r *http.Request) { + name := r.URL.Query().Get("name") + namespace := r.URL.Query().Get("namespace") + gpu := r.URL.Query().Get("gpu") + if len(name) == 0 || len(namespace) == 0 || len(gpu) == 0 { + w.Write([]byte(fmt.Sprintf("empty name or namespace or gpu, name:%s, namespace:%s, gpu:%s", name, namespace, gpu))) + w.WriteHeader(500) + return + } + ctx := r.Context() + configMap, err := clientset.CoreV1().ConfigMaps(namespace).Get(ctx, name, v1.GetOptions{}) + if err != nil { + LogInfo("get config map failed, name:%s, namespace:%s, err:%v", name, namespace, err) + configMap = &v1Core.ConfigMap{ + ObjectMeta: v1.ObjectMeta{ + Name: name, + Namespace: namespace, + }, + Data: map[string]string{ + "NVIDIA_VISIBLE_DEVICES": gpu, + }, + } + result, err := clientset.CoreV1().ConfigMaps(namespace).Create(ctx, configMap, v1.CreateOptions{}) + if err != nil { + s := fmt.Sprintf("save config map failed, name:%s, namespace:%s, err:%v", name, namespace, err) + LogErr("%s", s) + w.Write([]byte(s)) + w.WriteHeader(500) + return + } + bytes, _ := json.Marshal(result) + w.Write(bytes) + w.WriteHeader(200) + return + } + upsertMap := map[string]string{} + for k, v := range configMap.Data { + upsertMap[k] = v + } + upsertMap = map[string]string{ + "NVIDIA_VISIBLE_DEVICES": gpu, + } + configMap.Data = upsertMap + result, err := clientset.CoreV1().ConfigMaps(namespace).Update(ctx, configMap, v1.UpdateOptions{}) + if err != nil { + s := fmt.Sprintf("update config map failed, name:%s, namespace:%s, err:%v", name, namespace, err) + LogErr("%s", s) + w.Write([]byte(s)) + w.WriteHeader(500) + return + } + bytes, _ := json.Marshal(result) + w.Write(bytes) + w.WriteHeader(200) + +} + +func main() { + http.HandleFunc("/api/config-map/upsert", upsertConfigMap) + http.ListenAndServe(":8080", nil) +} diff --git a/config-map-server/yaml/cluster-role.yaml b/config-map-server/yaml/cluster-role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..feb6c3025100572992b226b24d863ba0bd8f6cf6 --- /dev/null +++ b/config-map-server/yaml/cluster-role.yaml @@ -0,0 +1,36 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: scheduler-config-map-manager + namespace: kube-gpu-sparse +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: scheduler-config-map-manager-role +rules: +- apiGroups: + - "" + resources: + - configmaps + verbs: + - create + - delete + - get + - list + - patch + - update + - watch +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: scheduler-config-map-manager-rolebinding +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: scheduler-config-map-manager-role +subjects: +- kind: ServiceAccount + name: scheduler-config-map-manager + namespace: kube-gpu-sparse \ No newline at end of file diff --git a/config-map-server/yaml/deployment.yaml b/config-map-server/yaml/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..91fd67141acf261887eca9c51582908866f2e183 --- /dev/null +++ b/config-map-server/yaml/deployment.yaml @@ -0,0 +1,36 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: scheduler-config-map-manager + namespace: kube-gpu-sparse + labels: + app: scheduler-config-map-manager +spec: + replicas: 1 + selector: + matchLabels: + app: scheduler-config-map-manager + template: + metadata: + labels: + app: scheduler-config-map-manager + spec: + serviceAccountName: scheduler-config-map-manager + hostname: config-map-server + containers: + - name: scheduler-config-map-manager + image: crater-harbor.act.buaa.edu.cn/crater/kube-gpu-sparse-scheduler-config-map-server:v0.2.0 + imagePullPolicy: IfNotPresent + command: + # - "sh" + # - "-c" + # - "sleep infinity" + - /config-map-modify-server + - 2>&1 + resources: + requests: + cpu: "1" + memory: 1Gi + limits: + cpu: "1" + memory: 1Gi diff --git a/config-map-server/yaml/service.yaml b/config-map-server/yaml/service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e8b600c64248e80dd14a5a0e75089f128b33b611 --- /dev/null +++ b/config-map-server/yaml/service.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: Service +metadata: + name: scheduler-config-map-manager-svc + namespace: kube-gpu-sparse +spec: + selector: + app: scheduler-config-map-manager + ports: + - protocol: TCP + port: 80 + targetPort: 8080 \ No newline at end of file diff --git a/config/dcgm/dcgm-exporter.yaml b/config/dcgm/dcgm-exporter.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7154e9e4fcf3597f17ba2adcbb1a517ea43cb1c6 --- /dev/null +++ b/config/dcgm/dcgm-exporter.yaml @@ -0,0 +1,92 @@ +# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +apiVersion: apps/v1 +kind: DaemonSet +metadata: + name: "dcgm-exporter" + namespace: "monitoring" + labels: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" +spec: + updateStrategy: + type: RollingUpdate + selector: + matchLabels: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" + template: + metadata: + labels: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" + name: "dcgm-exporter" + spec: + hostNetwork: true + containers: + - image: "nvcr.io/nvidia/k8s/dcgm-exporter:3.1.6-3.1.3-ubuntu20.04" + securityContext: ###添加参数启用容器root权限 + privileged: true + capabilities: + add: ["SYS_ADMIN"] + runAsUser: 0 + env: + - name: "DCGM_EXPORTER_LISTEN" + value: ":9400" + - name: "DCGM_EXPORTER_KUBERNETES" + value: "true" + - name: "DCGM_EXPORTER_INTERVAL" + value: "1000" + name: "dcgm-exporter" + ports: + - name: "metrics" + containerPort: 9400 + securityContext: + runAsNonRoot: false + runAsUser: 0 + volumeMounts: + - name: "pod-gpu-resources" + readOnly: true + mountPath: "/var/lib/kubelet/pod-resources" + - name: config-volume + mountPath: /etc/config + command: ["dcgm-exporter", "-r", "localhost:5555", "-f", "/etc/config/metrics"] + # command: ["sh", "-c", "sleep infinity"] + volumes: + - name: config-volume + configMap: + # 提供包含要添加到容器中的文件的 ConfigMap 的名称 + name: exporter-metrics-config-map + - name: "pod-gpu-resources" + hostPath: + path: "/var/lib/kubelet/pod-resources" + +--- + +kind: Service +apiVersion: v1 +metadata: + name: "dcgm-exporter" + namespace: "monitoring" + labels: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" +spec: + selector: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" + ports: + - name: "metrics" + port: 9400 diff --git a/config/dcgm/metrics-configmap.yaml b/config/dcgm/metrics-configmap.yaml new file mode 100644 index 0000000000000000000000000000000000000000..06f5a3e17ae5eaf179ac4799b1655622357c962b --- /dev/null +++ b/config/dcgm/metrics-configmap.yaml @@ -0,0 +1,85 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + name: exporter-metrics-config-map + namespace: monitoring +data: + metrics: | + # Format + # If line starts with a '#' it is considered a comment + # DCGM FIELD, Prometheus metric type, help message + + # Clocks + DCGM_FI_DEV_SM_CLOCK, gauge, SM clock frequency (in MHz). + DCGM_FI_DEV_MEM_CLOCK, gauge, Memory clock frequency (in MHz). + + # Temperature + DCGM_FI_DEV_MEMORY_TEMP, gauge, Memory temperature (in C). + DCGM_FI_DEV_GPU_TEMP, gauge, GPU temperature (in C). + + # Power + DCGM_FI_DEV_POWER_USAGE, gauge, Power draw (in W). + DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION, counter, Total energy consumption since boot (in mJ). + + # PCIE + # DCGM_FI_DEV_PCIE_TX_THROUGHPUT, counter, Total number of bytes transmitted through PCIe TX (in KB) via NVML. + # DCGM_FI_DEV_PCIE_RX_THROUGHPUT, counter, Total number of bytes received through PCIe RX (in KB) via NVML. + DCGM_FI_DEV_PCIE_REPLAY_COUNTER, counter, Total number of PCIe retries. + + # Utilization (the sample period varies depending on the product) + DCGM_FI_DEV_GPU_UTIL, gauge, GPU utilization (in %). + DCGM_FI_DEV_MEM_COPY_UTIL, gauge, Memory utilization (in %). + DCGM_FI_DEV_ENC_UTIL, gauge, Encoder utilization (in %). + DCGM_FI_DEV_DEC_UTIL , gauge, Decoder utilization (in %). + + # Errors and violations + DCGM_FI_DEV_XID_ERRORS, gauge, Value of the last XID error encountered. + # DCGM_FI_DEV_POWER_VIOLATION, counter, Throttling duration due to power constraints (in us). + # DCGM_FI_DEV_THERMAL_VIOLATION, counter, Throttling duration due to thermal constraints (in us). + # DCGM_FI_DEV_SYNC_BOOST_VIOLATION, counter, Throttling duration due to sync-boost constraints (in us). + # DCGM_FI_DEV_BOARD_LIMIT_VIOLATION, counter, Throttling duration due to board limit constraints (in us). + # DCGM_FI_DEV_LOW_UTIL_VIOLATION, counter, Throttling duration due to low utilization (in us). + # DCGM_FI_DEV_RELIABILITY_VIOLATION, counter, Throttling duration due to reliability constraints (in us). + + # Memory usage + DCGM_FI_DEV_FB_FREE, gauge, Framebuffer memory free (in MiB). + DCGM_FI_DEV_FB_USED, gauge, Framebuffer memory used (in MiB). + + # ECC + # DCGM_FI_DEV_ECC_SBE_VOL_TOTAL, counter, Total number of single-bit volatile ECC errors. + # DCGM_FI_DEV_ECC_DBE_VOL_TOTAL, counter, Total number of double-bit volatile ECC errors. + # DCGM_FI_DEV_ECC_SBE_AGG_TOTAL, counter, Total number of single-bit persistent ECC errors. + # DCGM_FI_DEV_ECC_DBE_AGG_TOTAL, counter, Total number of double-bit persistent ECC errors. + + # Retired pages + # DCGM_FI_DEV_RETIRED_SBE, counter, Total number of retired pages due to single-bit errors. + # DCGM_FI_DEV_RETIRED_DBE, counter, Total number of retired pages due to double-bit errors. + # DCGM_FI_DEV_RETIRED_PENDING, counter, Total number of pages pending retirement. + + # NVLink + # DCGM_FI_DEV_NVLINK_CRC_FLIT_ERROR_COUNT_TOTAL, counter, Total number of NVLink flow-control CRC errors. + # DCGM_FI_DEV_NVLINK_CRC_DATA_ERROR_COUNT_TOTAL, counter, Total number of NVLink data CRC errors. + # DCGM_FI_DEV_NVLINK_REPLAY_ERROR_COUNT_TOTAL, counter, Total number of NVLink retries. + # DCGM_FI_DEV_NVLINK_RECOVERY_ERROR_COUNT_TOTAL, counter, Total number of NVLink recovery errors. + DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL, counter, Total number of NVLink bandwidth counters for all lanes. + # DCGM_FI_DEV_NVLINK_BANDWIDTH_L0, counter, The number of bytes of active NVLink rx or tx data including both header and payload. + + # VGPU License status + DCGM_FI_DEV_VGPU_LICENSE_STATUS, gauge, vGPU License status + + # Remapped rows + DCGM_FI_DEV_UNCORRECTABLE_REMAPPED_ROWS, counter, Number of remapped rows for uncorrectable errors + DCGM_FI_DEV_CORRECTABLE_REMAPPED_ROWS, counter, Number of remapped rows for correctable errors + DCGM_FI_DEV_ROW_REMAP_FAILURE, gauge, Whether remapping of rows has failed + + # DCP metrics + DCGM_FI_PROF_GR_ENGINE_ACTIVE, gauge, Ratio of time the graphics engine is active (in %). + DCGM_FI_PROF_SM_ACTIVE, gauge, The ratio of cycles an SM has at least 1 warp assigned (in %). + DCGM_FI_PROF_SM_OCCUPANCY, gauge, The ratio of number of warps resident on an SM (in %). + DCGM_FI_PROF_PIPE_TENSOR_ACTIVE, gauge, Ratio of cycles the tensor (HMMA) pipe is active (in %). + DCGM_FI_PROF_DRAM_ACTIVE, gauge, Ratio of cycles the device memory interface is active sending or receiving data (in %). + DCGM_FI_PROF_PIPE_FP64_ACTIVE, gauge, Ratio of cycles the fp64 pipes are active (in %). + DCGM_FI_PROF_PIPE_FP32_ACTIVE, gauge, Ratio of cycles the fp32 pipes are active (in %). + DCGM_FI_PROF_PIPE_FP16_ACTIVE, gauge, Ratio of cycles the fp16 pipes are active (in %). + DCGM_FI_PROF_PCIE_TX_BYTES, counter, The number of bytes of active pcie tx data including both header and payload. + DCGM_FI_PROF_PCIE_RX_BYTES, counter, The number of bytes of active pcie rx data including both header and payload. diff --git a/config/dcgm/service-monitor.yaml b/config/dcgm/service-monitor.yaml new file mode 100644 index 0000000000000000000000000000000000000000..468207a4adba58ea4da7db7b89ab0b1f4f8db215 --- /dev/null +++ b/config/dcgm/service-monitor.yaml @@ -0,0 +1,31 @@ +# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: "dcgm-exporter" + namespace: "monitoring" + labels: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" +spec: + selector: + matchLabels: + app.kubernetes.io/name: "dcgm-exporter" + app.kubernetes.io/version: "3.1.3" + endpoints: + - port: "metrics" + path: "/metrics" + interval: 1s diff --git a/config/k8s-1.22.1/init.sh b/config/k8s-1.22.1/init.sh new file mode 100644 index 0000000000000000000000000000000000000000..0c18d51b89a2138d212648a69e12912fb5e73059 --- /dev/null +++ b/config/k8s-1.22.1/init.sh @@ -0,0 +1,9 @@ +sudo kubeadm init \ + --apiserver-advertise-address=192.168.5.60 \ + --image-repository registry.aliyuncs.com/google_containers \ + --control-plane-endpoint=k8s.cluster.master \ + --kubernetes-version v1.22.1 \ + --service-cidr=10.1.0.0/16 \ + --pod-network-cidr=10.244.0.0/16 \ + --ignore-preflight-errors=All \ + --v=5 diff --git a/config/k8s-1.22.1/kube-flannel.yml b/config/k8s-1.22.1/kube-flannel.yml new file mode 100644 index 0000000000000000000000000000000000000000..ac6eca42a260b50e03a84f08c2460fbf92146ae9 --- /dev/null +++ b/config/k8s-1.22.1/kube-flannel.yml @@ -0,0 +1,209 @@ +--- +kind: Namespace +apiVersion: v1 +metadata: + name: kube-flannel + labels: + pod-security.kubernetes.io/enforce: privileged +--- +kind: ClusterRole +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: flannel +rules: +- apiGroups: + - "" + resources: + - pods + verbs: + - get +- apiGroups: + - "" + resources: + - nodes + verbs: + - get + - list + - watch +- apiGroups: + - "" + resources: + - nodes/status + verbs: + - patch +- apiGroups: + - "networking.k8s.io" + resources: + - clustercidrs + verbs: + - list + - watch +--- +kind: ClusterRoleBinding +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: flannel +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: flannel +subjects: +- kind: ServiceAccount + name: flannel + namespace: kube-flannel +--- +apiVersion: v1 +kind: ServiceAccount +metadata: + name: flannel + namespace: kube-flannel +--- +kind: ConfigMap +apiVersion: v1 +metadata: + name: kube-flannel-cfg + namespace: kube-flannel + labels: + tier: node + app: flannel +data: + cni-conf.json: | + { + "name": "cbr0", + "cniVersion": "0.3.1", + "plugins": [ + { + "type": "flannel", + "delegate": { + "hairpinMode": true, + "isDefaultGateway": true + } + }, + { + "type": "portmap", + "capabilities": { + "portMappings": true + } + } + ] + } + net-conf.json: | + { + "Network": "10.244.0.0/16", + "Backend": { + "Type": "vxlan" + } + } +--- +apiVersion: apps/v1 +kind: DaemonSet +metadata: + name: kube-flannel-ds + namespace: kube-flannel + labels: + tier: node + app: flannel +spec: + selector: + matchLabels: + app: flannel + template: + metadata: + labels: + tier: node + app: flannel + spec: + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/os + operator: In + values: + - linux + hostNetwork: true + priorityClassName: system-node-critical + tolerations: + - operator: Exists + effect: NoSchedule + serviceAccountName: flannel + initContainers: + - name: install-cni-plugin + image: docker.io/flannel/flannel-cni-plugin:v1.1.2 + #image: docker.io/rancher/mirrored-flannelcni-flannel-cni-plugin:v1.1.2 + command: + - cp + args: + - -f + - /flannel + - /opt/cni/bin/flannel + volumeMounts: + - name: cni-plugin + mountPath: /opt/cni/bin + - name: install-cni + image: docker.io/flannel/flannel:v0.20.2 + #image: docker.io/rancher/mirrored-flannelcni-flannel:v0.20.2 + command: + - cp + args: + - -f + - /etc/kube-flannel/cni-conf.json + - /etc/cni/net.d/10-flannel.conflist + volumeMounts: + - name: cni + mountPath: /etc/cni/net.d + - name: flannel-cfg + mountPath: /etc/kube-flannel/ + containers: + - name: kube-flannel + image: docker.io/flannel/flannel:v0.20.2 + #image: docker.io/rancher/mirrored-flannelcni-flannel:v0.20.2 + command: + - /opt/bin/flanneld + args: + - --ip-masq + - --kube-subnet-mgr + resources: + requests: + cpu: "100m" + memory: "50Mi" + securityContext: + privileged: false + capabilities: + add: ["NET_ADMIN", "NET_RAW"] + env: + - name: POD_NAME + valueFrom: + fieldRef: + fieldPath: metadata.name + - name: POD_NAMESPACE + valueFrom: + fieldRef: + fieldPath: metadata.namespace + - name: EVENT_QUEUE_DEPTH + value: "5000" + volumeMounts: + - name: run + mountPath: /run/flannel + - name: flannel-cfg + mountPath: /etc/kube-flannel/ + - name: xtables-lock + mountPath: /run/xtables.lock + volumes: + - name: run + hostPath: + path: /run/flannel + - name: cni-plugin + hostPath: + path: /opt/cni/bin + - name: cni + hostPath: + path: /etc/cni/net.d + - name: flannel-cfg + configMap: + name: kube-flannel-cfg + - name: xtables-lock + hostPath: + path: /run/xtables.lock + type: FileOrCreate diff --git a/config/kube-share/kubeshare-config.yaml b/config/kube-share/kubeshare-config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..aa27703712e6d314406fe3d8c1df4fa5433ad62e --- /dev/null +++ b/config/kube-share/kubeshare-config.yaml @@ -0,0 +1,23 @@ +# move this file into /kubeshare/scheduler/kubeshare-config.yaml +cellTypes: + TeslaP100-1Node: + childCellType: "Tesla-P100-PCIE-12GB" + childCellNumber: 1 + childCellPriority: 1 + isNodeLevel: true + RTX2080-2Node: + childCellType: "NVIDIA-GeForce-RTX-2080-Ti" + childCellNumber: 2 + childCellPriority: 1 + isNodeLevel: true + 3-TeslaP100-Node: + childCellType: TeslaP100-1Node + childCellNumber: 3 +cells: +- cellType: 3-TeslaP100-Node + cellChildren: + - cellId: dell-61 + - cellId: dell-62 + - cellId: dell-64 +- cellType: RTX2080-2Node + cellId: dell-63 \ No newline at end of file diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-config.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b96deee01d0ee120a69c4f7ed6ff7033c6b3eac5 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-config.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Secret +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana-config + namespace: monitoring +stringData: + grafana.ini: | + [date_formats] + default_timezone = UTC +type: Opaque diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardDatasources.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardDatasources.yaml new file mode 100644 index 0000000000000000000000000000000000000000..432e57fef378445d17761c6f3ffb1704757decd9 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardDatasources.yaml @@ -0,0 +1,27 @@ +apiVersion: v1 +kind: Secret +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana-datasources + namespace: monitoring +stringData: + datasources.yaml: |- + { + "apiVersion": 1, + "datasources": [ + { + "access": "proxy", + "editable": false, + "name": "prometheus", + "orgId": 1, + "type": "prometheus", + "url": "http://prometheus-k8s.kubesphere-monitoring-system.svc:9090", + "version": 1 + } + ] + } +type: Opaque diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardDefinitions.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardDefinitions.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dbdfc7d98d7fa63f14edc1372667f70cd0a2b5f6 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardDefinitions.yaml @@ -0,0 +1,37701 @@ +apiVersion: v1 +items: +- apiVersion: v1 + data: + alertmanager-overview.json: |- + { + "__inputs": [ + + ], + "__requires": [ + + ], + "annotations": { + "list": [ + + ] + }, + "editable": false, + "gnetId": null, + "graphTooltip": 1, + "hideControls": false, + "id": null, + "links": [ + + ], + "refresh": "30s", + "rows": [ + { + "collapse": false, + "collapsed": false, + "panels": [ + { + "aliasColors": { + + }, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": 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namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "E", + "step": 10 + }, + { + "expr": "sum(\n container_memory_working_set_bytes{job=\"kubelet\", metrics_path=\"/metrics/cadvisor\", cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=\"$type\"}\n) by (workload, workload_type)\n/sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=\"$type\"}\n) by 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app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana-dashboard-workload-total + namespace: monitoring +kind: ConfigMapList diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardSources.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardSources.yaml new file mode 100644 index 0000000000000000000000000000000000000000..78e03951aabfd62df739f3e3c810ce10044c19a7 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-dashboardSources.yaml @@ -0,0 +1,27 @@ +apiVersion: v1 +data: + dashboards.yaml: |- + { + "apiVersion": 1, + "providers": [ + { + "folder": "Default", + "folderUid": "", + "name": "0", + "options": { + "path": "/grafana-dashboard-definitions/0" + }, + "orgId": 1, + "type": "file" + } + ] + } +kind: ConfigMap +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana-dashboards + namespace: monitoring diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-deployment.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ce5c0b4960cbc4732283c667d354c3173b54de1c --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-deployment.yaml @@ -0,0 +1,253 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana + namespace: monitoring +spec: + replicas: 1 + selector: + matchLabels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + template: + metadata: + annotations: + checksum/grafana-config: fb98e3c91d822cbf66c27098b5eab383 + checksum/grafana-dashboardproviders: 33b30eca3609e24e7ea4571ebc5f9837 + checksum/grafana-datasources: 8590d8514fdffb4dfe82092c83e592e0 + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + spec: + nodeSelector: + kubernetes.io/hostname: master-60 + tolerations: + - key: "node-role.kubernetes.io/master" + operator: "Exists" + effect: "NoSchedule" + automountServiceAccountToken: false + containers: + - env: + - name: GF_SECURITY_ADMIN_USER + value: admin + - name: GF_SECURITY_ADMIN_PASSWORD + value: adminLipeixi + image: grafana/grafana:9.3.6 + name: grafana + ports: + - containerPort: 3000 + name: http + readinessProbe: + httpGet: + path: /api/health + port: http + resources: + limits: + cpu: 200m + memory: 200Mi + requests: + cpu: 100m + memory: 100Mi + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: + - ALL + readOnlyRootFilesystem: true + volumeMounts: + - mountPath: /var/lib/grafana + name: grafana-storage + readOnly: false + - mountPath: /etc/grafana/provisioning/datasources + name: grafana-datasources + readOnly: false + - mountPath: /etc/grafana/provisioning/dashboards + name: grafana-dashboards + readOnly: false + - mountPath: /tmp + name: tmp-plugins + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/alertmanager-overview + name: grafana-dashboard-alertmanager-overview + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/apiserver + name: grafana-dashboard-apiserver + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/cluster-total + name: grafana-dashboard-cluster-total + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/controller-manager + name: grafana-dashboard-controller-manager + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/grafana-overview + name: grafana-dashboard-grafana-overview + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/k8s-resources-cluster + name: grafana-dashboard-k8s-resources-cluster + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/k8s-resources-namespace + name: grafana-dashboard-k8s-resources-namespace + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/k8s-resources-node + name: grafana-dashboard-k8s-resources-node + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/k8s-resources-pod + name: grafana-dashboard-k8s-resources-pod + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/k8s-resources-workload + name: grafana-dashboard-k8s-resources-workload + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/k8s-resources-workloads-namespace + name: grafana-dashboard-k8s-resources-workloads-namespace + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/kubelet + name: grafana-dashboard-kubelet + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/namespace-by-pod + name: grafana-dashboard-namespace-by-pod + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/namespace-by-workload + name: grafana-dashboard-namespace-by-workload + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/node-cluster-rsrc-use + name: grafana-dashboard-node-cluster-rsrc-use + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/node-rsrc-use + name: grafana-dashboard-node-rsrc-use + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/nodes-darwin + name: grafana-dashboard-nodes-darwin + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/nodes + name: grafana-dashboard-nodes + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/persistentvolumesusage + name: grafana-dashboard-persistentvolumesusage + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/pod-total + name: grafana-dashboard-pod-total + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/prometheus-remote-write + name: grafana-dashboard-prometheus-remote-write + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/prometheus + name: grafana-dashboard-prometheus + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/proxy + name: grafana-dashboard-proxy + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/scheduler + name: grafana-dashboard-scheduler + readOnly: false + - mountPath: /grafana-dashboard-definitions/0/workload-total + name: grafana-dashboard-workload-total + readOnly: false + - mountPath: /etc/grafana + name: grafana-config + readOnly: false + nodeSelector: + kubernetes.io/os: linux + securityContext: + fsGroup: 65534 + runAsNonRoot: true + runAsUser: 65534 + serviceAccountName: grafana + volumes: + - persistentVolumeClaim: + claimName: grafana-storage + name: grafana-storage + - name: grafana-datasources + secret: + secretName: grafana-datasources + - configMap: + name: grafana-dashboards + name: grafana-dashboards + - emptyDir: + medium: Memory + name: tmp-plugins + - configMap: + name: grafana-dashboard-alertmanager-overview + name: grafana-dashboard-alertmanager-overview + - configMap: + name: grafana-dashboard-apiserver + name: grafana-dashboard-apiserver + - configMap: + name: grafana-dashboard-cluster-total + name: grafana-dashboard-cluster-total + - configMap: + name: grafana-dashboard-controller-manager + name: grafana-dashboard-controller-manager + - configMap: + name: grafana-dashboard-grafana-overview + name: grafana-dashboard-grafana-overview + - configMap: + name: grafana-dashboard-k8s-resources-cluster + name: grafana-dashboard-k8s-resources-cluster + - configMap: + name: grafana-dashboard-k8s-resources-namespace + name: grafana-dashboard-k8s-resources-namespace + - configMap: + name: grafana-dashboard-k8s-resources-node + name: grafana-dashboard-k8s-resources-node + - configMap: + name: grafana-dashboard-k8s-resources-pod + name: grafana-dashboard-k8s-resources-pod + - configMap: + name: grafana-dashboard-k8s-resources-workload + name: grafana-dashboard-k8s-resources-workload + - configMap: + name: grafana-dashboard-k8s-resources-workloads-namespace + name: grafana-dashboard-k8s-resources-workloads-namespace + - configMap: + name: grafana-dashboard-kubelet + name: grafana-dashboard-kubelet + - configMap: + name: grafana-dashboard-namespace-by-pod + name: grafana-dashboard-namespace-by-pod + - configMap: + name: grafana-dashboard-namespace-by-workload + name: grafana-dashboard-namespace-by-workload + - configMap: + name: grafana-dashboard-node-cluster-rsrc-use + name: grafana-dashboard-node-cluster-rsrc-use + - configMap: + name: grafana-dashboard-node-rsrc-use + name: grafana-dashboard-node-rsrc-use + - configMap: + name: grafana-dashboard-nodes-darwin + name: grafana-dashboard-nodes-darwin + - configMap: + name: grafana-dashboard-nodes + name: grafana-dashboard-nodes + - configMap: + name: grafana-dashboard-persistentvolumesusage + name: grafana-dashboard-persistentvolumesusage + - configMap: + name: grafana-dashboard-pod-total + name: grafana-dashboard-pod-total + - configMap: + name: grafana-dashboard-prometheus-remote-write + name: grafana-dashboard-prometheus-remote-write + - configMap: + name: grafana-dashboard-prometheus + name: grafana-dashboard-prometheus + - configMap: + name: grafana-dashboard-proxy + name: grafana-dashboard-proxy + - configMap: + name: grafana-dashboard-scheduler + name: grafana-dashboard-scheduler + - configMap: + name: grafana-dashboard-workload-total + name: grafana-dashboard-workload-total + - name: grafana-config + secret: + secretName: grafana-config \ No newline at end of file diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-networkPolicy.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-networkPolicy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4dd53735cae4006f171c33edb84ab0f06ddc96ea --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-networkPolicy.yaml @@ -0,0 +1,29 @@ +apiVersion: networking.k8s.io/v1 +kind: NetworkPolicy +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana + namespace: monitoring +spec: + egress: + - {} + ingress: + - from: + - podSelector: + matchLabels: + app.kubernetes.io/name: prometheus + ports: + - port: 3000 + protocol: TCP + podSelector: + matchLabels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + policyTypes: + - Egress + - Ingress diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-prometheusRule.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-prometheusRule.yaml new file mode 100644 index 0000000000000000000000000000000000000000..41bb06df31941771e020e4a4c092b584af6f9e8c --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-prometheusRule.yaml @@ -0,0 +1,34 @@ +apiVersion: monitoring.coreos.com/v1 +kind: PrometheusRule +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + prometheus: k8s + role: alert-rules + name: grafana-rules + namespace: monitoring +spec: + groups: + - name: GrafanaAlerts + rules: + - alert: GrafanaRequestsFailing + annotations: + message: '{{ $labels.namespace }}/{{ $labels.job }}/{{ $labels.handler }} + is experiencing {{ $value | humanize }}% errors' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/grafana/grafanarequestsfailing + expr: | + 100 * namespace_job_handler_statuscode:grafana_http_request_duration_seconds_count:rate5m{handler!~"/api/datasources/proxy/:id.*|/api/ds/query|/api/tsdb/query", status_code=~"5.."} + / ignoring (status_code) + sum without (status_code) (namespace_job_handler_statuscode:grafana_http_request_duration_seconds_count:rate5m{handler!~"/api/datasources/proxy/:id.*|/api/ds/query|/api/tsdb/query"}) + > 50 + for: 5m + labels: + severity: warning + - name: grafana_rules + rules: + - expr: | + sum by (namespace, job, handler, status_code) (rate(grafana_http_request_duration_seconds_count[5m])) + record: namespace_job_handler_statuscode:grafana_http_request_duration_seconds_count:rate5m diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-service.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..00592e741aeb02af2bf45c44fbd8bb68dc947785 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-service.yaml @@ -0,0 +1,22 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana + namespace: monitoring +spec: + type: NodePort + ports: + - name: http + port: 3000 + targetPort: http + nodePort: 31120 + protocol: TCP + selector: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-serviceAccount.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-serviceAccount.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6e96d64e5be2cf78eaa22be42c227574778620ae --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-serviceAccount.yaml @@ -0,0 +1,11 @@ +apiVersion: v1 +automountServiceAccountToken: false +kind: ServiceAccount +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana + namespace: monitoring diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-serviceMonitor.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-serviceMonitor.yaml new file mode 100644 index 0000000000000000000000000000000000000000..628fc5d19fe1b0fae032f856ebaaf0dcbeec6540 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-serviceMonitor.yaml @@ -0,0 +1,17 @@ +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: + app.kubernetes.io/component: grafana + app.kubernetes.io/name: grafana + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 9.3.6 + name: grafana + namespace: monitoring +spec: + endpoints: + - interval: 15s + port: http + selector: + matchLabels: + app.kubernetes.io/name: grafana diff --git a/config/kubesphere+prometheus+grafana/grafana/grafana-storage.yaml b/config/kubesphere+prometheus+grafana/grafana/grafana-storage.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2b071dc4b986caaae96ede2a4e628fd0e4c453fe --- /dev/null +++ b/config/kubesphere+prometheus+grafana/grafana/grafana-storage.yaml @@ -0,0 +1,11 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: grafana-storage + namespace: monitoring +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 50Gi \ No newline at end of file diff --git a/config/kubesphere+prometheus+grafana/kubesphere/cluster-configuration.yaml b/config/kubesphere+prometheus+grafana/kubesphere/cluster-configuration.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a0b0f419e6f1805b138d6f8cc443059aaf2252d3 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/kubesphere/cluster-configuration.yaml @@ -0,0 +1,184 @@ +--- +apiVersion: installer.kubesphere.io/v1alpha1 +kind: ClusterConfiguration +metadata: + name: ks-installer + namespace: kubesphere-system + labels: + version: v3.3.2 +spec: + persistence: + storageClass: "" # If there is no default StorageClass in your cluster, you need to specify an existing StorageClass here. + authentication: + # adminPassword: "" # Custom password of the admin user. If the parameter exists but the value is empty, a random password is generated. If the parameter does not exist, P@88w0rd is used. + jwtSecret: "" # Keep the jwtSecret consistent with the Host Cluster. Retrieve the jwtSecret by executing "kubectl -n kubesphere-system get cm kubesphere-config -o yaml | grep -v "apiVersion" | grep jwtSecret" on the Host Cluster. + local_registry: "" # Add your private registry address if it is needed. + # dev_tag: "" # Add your kubesphere image tag you want to install, by default it's same as ks-installer release version. + etcd: + monitoring: false # Enable or disable etcd monitoring dashboard installation. You have to create a Secret for etcd before you enable it. + endpointIps: localhost # etcd cluster EndpointIps. It can be a bunch of IPs here. + port: 2379 # etcd port. + tlsEnable: true + common: + core: + console: + enableMultiLogin: true # Enable or disable simultaneous logins. It allows different users to log in with the same account at the same time. + port: 30880 + type: NodePort + + # apiserver: # Enlarge the apiserver and controller manager's resource requests and limits for the large cluster + # resources: {} + # controllerManager: + # resources: {} + redis: + enabled: false + enableHA: false + volumeSize: 2Gi # Redis PVC size. + openldap: + enabled: false + volumeSize: 2Gi # openldap PVC size. + minio: + volumeSize: 20Gi # Minio PVC size. + monitoring: + # type: external # Whether to specify the external prometheus stack, and need to modify the endpoint at the next line. + endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090 # Prometheus endpoint to get metrics data. + GPUMonitoring: # Enable or disable the GPU-related metrics. If you enable this switch but have no GPU resources, Kubesphere will set it to zero. + enabled: false + gpu: # Install GPUKinds. The default GPU kind is nvidia.com/gpu. Other GPU kinds can be added here according to your needs. + kinds: + - resourceName: "nvidia.com/gpu" + resourceType: "GPU" + default: true + es: # Storage backend for logging, events and auditing. + # master: + # volumeSize: 4Gi # The volume size of Elasticsearch master nodes. + # replicas: 1 # The total number of master nodes. Even numbers are not allowed. + # resources: {} + # data: + # volumeSize: 20Gi # The volume size of Elasticsearch data nodes. + # replicas: 1 # The total number of data nodes. + # resources: {} + logMaxAge: 7 # Log retention time in built-in Elasticsearch. It is 7 days by default. + elkPrefix: logstash # The string making up index names. The index name will be formatted as ks--log. + basicAuth: + enabled: false + username: "" + password: "" + externalElasticsearchHost: "" + externalElasticsearchPort: "" + alerting: # (CPU: 0.1 Core, Memory: 100 MiB) It enables users to customize alerting policies to send messages to receivers in time with different time intervals and alerting levels to choose from. + enabled: false # Enable or disable the KubeSphere Alerting System. + # thanosruler: + # replicas: 1 + # resources: {} + auditing: # Provide a security-relevant chronological set of records，recording the sequence of activities happening on the platform, initiated by different tenants. + enabled: false # Enable or disable the KubeSphere Auditing Log System. + # operator: + # resources: {} + # webhook: + # resources: {} + devops: # (CPU: 0.47 Core, Memory: 8.6 G) Provide an out-of-the-box CI/CD system based on Jenkins, and automated workflow tools including Source-to-Image & Binary-to-Image. + enabled: false # Enable or disable the KubeSphere DevOps System. + # resources: {} + jenkinsMemoryLim: 4Gi # Jenkins memory limit. + jenkinsMemoryReq: 2Gi # Jenkins memory request. + jenkinsVolumeSize: 8Gi # Jenkins volume size. + events: # Provide a graphical web console for Kubernetes Events exporting, filtering and alerting in multi-tenant Kubernetes clusters. + enabled: false # Enable or disable the KubeSphere Events System. + # operator: + # resources: {} + # exporter: + # resources: {} + # ruler: + # enabled: true + # replicas: 2 + # resources: {} + logging: # (CPU: 57 m, Memory: 2.76 G) Flexible logging functions are provided for log query, collection and management in a unified console. Additional log collectors can be added, such as Elasticsearch, Kafka and Fluentd. + enabled: false # Enable or disable the KubeSphere Logging System. + logsidecar: + enabled: true + replicas: 2 + # resources: {} + metrics_server: # (CPU: 56 m, Memory: 44.35 MiB) It enables HPA (Horizontal Pod Autoscaler). + enabled: false # Enable or disable metrics-server. + monitoring: + storageClass: "" # If there is an independent StorageClass you need for Prometheus, you can specify it here. The default StorageClass is used by default. + node_exporter: + port: 9100 + # resources: {} + # kube_rbac_proxy: + # resources: {} + # kube_state_metrics: + # resources: {} + prometheus: + replicas: 1 # Prometheus replicas are responsible for monitoring different segments of data source and providing high availability. + volumeSize: 100Gi # Prometheus PVC size. + resources: {} + operator: + resources: {} + # alertmanager: + # replicas: 1 # AlertManager Replicas. + # resources: {} + # notification_manager: + # resources: {} + # operator: + # resources: {} + # proxy: + # resources: {} + gpu: # GPU monitoring-related plug-in installation. + nvidia_dcgm_exporter: # Ensure that gpu resources on your hosts can be used normally, otherwise this plug-in will not work properly. + enabled: false # Check whether the labels on the GPU hosts contain "nvidia.com/gpu.present=true" to ensure that the DCGM pod is scheduled to these nodes. + # resources: {} + multicluster: + clusterRole: none # host | member | none # You can install a solo cluster, or specify it as the Host or Member Cluster. + network: + networkpolicy: # Network policies allow network isolation within the same cluster, which means firewalls can be set up between certain instances (Pods). + # Make sure that the CNI network plugin used by the cluster supports NetworkPolicy. There are a number of CNI network plugins that support NetworkPolicy, including Calico, Cilium, Kube-router, Romana and Weave Net. + enabled: false # Enable or disable network policies. + ippool: # Use Pod IP Pools to manage the Pod network address space. Pods to be created can be assigned IP addresses from a Pod IP Pool. + type: none # Specify "calico" for this field if Calico is used as your CNI plugin. "none" means that Pod IP Pools are disabled. + topology: # Use Service Topology to view Service-to-Service communication based on Weave Scope. + type: none # Specify "weave-scope" for this field to enable Service Topology. "none" means that Service Topology is disabled. + openpitrix: # An App Store that is accessible to all platform tenants. You can use it to manage apps across their entire lifecycle. + store: + enabled: false # Enable or disable the KubeSphere App Store. + servicemesh: # (0.3 Core, 300 MiB) Provide fine-grained traffic management, observability and tracing, and visualized traffic topology. + enabled: false # Base component (pilot). Enable or disable KubeSphere Service Mesh (Istio-based). + istio: # Customizing the istio installation configuration, refer to https://istio.io/latest/docs/setup/additional-setup/customize-installation/ + components: + ingressGateways: + - name: istio-ingressgateway + enabled: false + cni: + enabled: false + edgeruntime: # Add edge nodes to your cluster and deploy workloads on edge nodes. + enabled: false + kubeedge: # kubeedge configurations + enabled: false + cloudCore: + cloudHub: + advertiseAddress: # At least a public IP address or an IP address which can be accessed by edge nodes must be provided. + - "" # Note that once KubeEdge is enabled, CloudCore will malfunction if the address is not provided. + service: + cloudhubNodePort: "30000" + cloudhubQuicNodePort: "30001" + cloudhubHttpsNodePort: "30002" + cloudstreamNodePort: "30003" + tunnelNodePort: "30004" + # resources: {} + # hostNetWork: false + iptables-manager: + enabled: true + mode: "external" + # resources: {} + # edgeService: + # resources: {} + gatekeeper: # Provide admission policy and rule management, A validating (mutating TBA) webhook that enforces CRD-based policies executed by Open Policy Agent. + enabled: false # Enable or disable Gatekeeper. + # controller_manager: + # resources: {} + # audit: + # resources: {} + terminal: + # image: 'alpine:3.15' # There must be an nsenter program in the image + timeout: 600 # Container timeout, if set to 0, no timeout will be used. The unit is seconds diff --git a/config/kubesphere+prometheus+grafana/kubesphere/dockerfile b/config/kubesphere+prometheus+grafana/kubesphere/dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..e6295087783445ebe465ee6d93ae50b950541996 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/kubesphere/dockerfile @@ -0,0 +1,5 @@ +FROM pxllpx/kubesphere-install:v3.0 + +ENTRYPOINT ["/shell-operator"] + +CMD ["start"] \ No newline at end of file diff --git a/config/kubesphere+prometheus+grafana/kubesphere/kubesphere-delete.sh b/config/kubesphere+prometheus+grafana/kubesphere/kubesphere-delete.sh new file mode 100644 index 0000000000000000000000000000000000000000..7b269c22c5511f570a0382db19f631d86d1bba12 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/kubesphere/kubesphere-delete.sh @@ -0,0 +1,184 @@ +#!/usr/bin/env bash + +function delete_sure(){ + cat << eof +$(echo -e "\033[1;36mNote:\033[0m") + +Delete the KubeSphere cluster, including the module kubesphere-system kubesphere-devops-system kubesphere-monitoring-system kubesphere-logging-system openpitrix-system. +eof + +read -p "Please reconfirm that you want to delete the KubeSphere cluster. (yes/no) " ans +while [[ "x"$ans != "xyes" && "x"$ans != "xno" ]]; do + read -p "Please reconfirm that you want to delete the KubeSphere cluster. (yes/no) " ans +done + +if [[ "x"$ans == "xno" ]]; then + exit +fi +} + + +delete_sure + +# delete ks-install +kubectl delete deploy ks-installer -n kubesphere-system 2>/dev/null + +# delete helm +for namespaces in kubesphere-system kubesphere-devops-system kubesphere-monitoring-system kubesphere-logging-system openpitrix-system kubesphere-monitoring-federated +do + helm list -n $namespaces | grep -v NAME | awk '{print $1}' | sort -u | xargs -r -L1 helm uninstall -n $namespaces 2>/dev/null +done + +# delete kubefed +kubectl get cc -n kubesphere-system ks-installer -o jsonpath="{.status.multicluster}" | grep enable +if [[ $? -eq 0 ]]; then + helm uninstall -n kube-federation-system kubefed 2>/dev/null + #kubectl delete ns kube-federation-system 2>/dev/null +fi + + +helm uninstall -n kube-system snapshot-controller 2>/dev/null + +# delete kubesphere deployment +kubectl delete deployment -n kubesphere-system `kubectl get deployment -n kubesphere-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null + +# delete monitor statefulset +kubectl delete prometheus -n kubesphere-monitoring-system k8s 2>/dev/null +kubectl delete statefulset -n kubesphere-monitoring-system `kubectl get statefulset -n kubesphere-monitoring-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null +# delete grafana +kubectl delete deployment -n kubesphere-monitoring-system grafana 2>/dev/null +kubectl --no-headers=true get pvc -n kubesphere-monitoring-system -o custom-columns=:metadata.namespace,:metadata.name | grep -E kubesphere-monitoring-system | xargs -n2 kubectl delete pvc -n 2>/dev/null + +# delete pvc +pvcs="kubesphere-system|openpitrix-system|kubesphere-devops-system|kubesphere-logging-system" +kubectl --no-headers=true get pvc --all-namespaces -o custom-columns=:metadata.namespace,:metadata.name | grep -E $pvcs | xargs -n2 kubectl delete pvc -n 2>/dev/null + + +# delete rolebindings +delete_role_bindings() { + for rolebinding in `kubectl -n $1 get rolebindings -l iam.kubesphere.io/user-ref -o jsonpath="{.items[*].metadata.name}"` + do + kubectl -n $1 delete rolebinding $rolebinding 2>/dev/null + done +} + +# delete roles +delete_roles() { + kubectl -n $1 delete role admin 2>/dev/null + kubectl -n $1 delete role operator 2>/dev/null + kubectl -n $1 delete role viewer 2>/dev/null + for role in `kubectl -n $1 get roles -l iam.kubesphere.io/role-template -o jsonpath="{.items[*].metadata.name}"` + do + kubectl -n $1 delete role $role 2>/dev/null + done +} + +# remove useless labels and finalizers +for ns in `kubectl get ns -o jsonpath="{.items[*].metadata.name}"` +do + kubectl label ns $ns kubesphere.io/workspace- + kubectl label ns $ns kubesphere.io/namespace- + kubectl patch ns $ns -p '{"metadata":{"finalizers":null,"ownerReferences":null}}' + delete_role_bindings $ns + delete_roles $ns +done + +# delete clusters +for cluster in `kubectl get clusters -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch cluster $cluster -p '{"metadata":{"finalizers":null}}' --type=merge +done +kubectl delete clusters --all 2>/dev/null + +# delete workspaces +for ws in `kubectl get workspaces -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch workspace $ws -p '{"metadata":{"finalizers":null}}' --type=merge +done +kubectl delete workspaces --all 2>/dev/null + +# delete devopsprojects +for devopsproject in `kubectl get devopsprojects -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch devopsprojects $devopsproject -p '{"metadata":{"finalizers":null}}' --type=merge +done + +for pip in `kubectl get pipeline -A -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch pipeline $pip -n `kubectl get pipeline -A | grep $pip | awk '{print $1}'` -p '{"metadata":{"finalizers":null}}' --type=merge +done + +for s2ibinaries in `kubectl get s2ibinaries -A -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch s2ibinaries $s2ibinaries -n `kubectl get s2ibinaries -A | grep $s2ibinaries | awk '{print $1}'` -p '{"metadata":{"finalizers":null}}' --type=merge +done + +for s2ibuilders in `kubectl get s2ibuilders -A -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch s2ibuilders $s2ibuilders -n `kubectl get s2ibuilders -A | grep $s2ibuilders | awk '{print $1}'` -p '{"metadata":{"finalizers":null}}' --type=merge +done + +for s2ibuildertemplates in `kubectl get s2ibuildertemplates -A -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch s2ibuildertemplates $s2ibuildertemplates -n `kubectl get s2ibuildertemplates -A | grep $s2ibuildertemplates | awk '{print $1}'` -p '{"metadata":{"finalizers":null}}' --type=merge +done + +for s2iruns in `kubectl get s2iruns -A -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch s2iruns $s2iruns -n `kubectl get s2iruns -A | grep $s2iruns | awk '{print $1}'` -p '{"metadata":{"finalizers":null}}' --type=merge +done + +kubectl delete devopsprojects --all 2>/dev/null + + +# delete validatingwebhookconfigurations +for webhook in ks-events-admission-validate users.iam.kubesphere.io network.kubesphere.io validating-webhook-configuration +do + kubectl delete validatingwebhookconfigurations.admissionregistration.k8s.io $webhook 2>/dev/null +done + +# delete mutatingwebhookconfigurations +for webhook in ks-events-admission-mutate logsidecar-injector-admission-mutate mutating-webhook-configuration +do + kubectl delete mutatingwebhookconfigurations.admissionregistration.k8s.io $webhook 2>/dev/null +done + +# delete users +for user in `kubectl get users -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch user $user -p '{"metadata":{"finalizers":null}}' --type=merge +done +kubectl delete users --all 2>/dev/null + + +# delete helm resources +for resource_type in `echo helmcategories helmapplications helmapplicationversions helmrepos helmreleases`; do + for resource_name in `kubectl get ${resource_type}.application.kubesphere.io -o jsonpath="{.items[*].metadata.name}"`; do + kubectl patch ${resource_type}.application.kubesphere.io ${resource_name} -p '{"metadata":{"finalizers":null}}' --type=merge + done + kubectl delete ${resource_type}.application.kubesphere.io --all 2>/dev/null +done + +# delete workspacetemplates +for workspacetemplate in `kubectl get workspacetemplates.tenant.kubesphere.io -o jsonpath="{.items[*].metadata.name}"` +do + kubectl patch workspacetemplates.tenant.kubesphere.io $workspacetemplate -p '{"metadata":{"finalizers":null}}' --type=merge +done +kubectl delete workspacetemplates.tenant.kubesphere.io --all 2>/dev/null + +# delete federatednamespaces in namespace kubesphere-monitoring-federated +for resource in $(kubectl get federatednamespaces.types.kubefed.io -n kubesphere-monitoring-federated -oname); do + kubectl patch "${resource}" -p '{"metadata":{"finalizers":null}}' --type=merge -n kubesphere-monitoring-federated +done + +# delete crds +for crd in `kubectl get crds -o jsonpath="{.items[*].metadata.name}"` +do + if [[ $crd == *kubesphere.io ]]; then kubectl delete crd $crd 2>/dev/null; fi +done + +# delete relevance ns +for ns in kubesphere-alerting-system kubesphere-controls-system kubesphere-devops-system kubesphere-logging-system kubesphere-monitoring-system kubesphere-monitoring-federated openpitrix-system kubesphere-system +do + kubectl delete ns $ns 2>/dev/null +done diff --git a/config/kubesphere+prometheus+grafana/kubesphere/kubesphere-installer.yaml b/config/kubesphere+prometheus+grafana/kubesphere/kubesphere-installer.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52cdb04b8d53ca1c507270557bb986eb24fe789e --- /dev/null +++ b/config/kubesphere+prometheus+grafana/kubesphere/kubesphere-installer.yaml @@ -0,0 +1,307 @@ +--- +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + name: clusterconfigurations.installer.kubesphere.io +spec: + group: installer.kubesphere.io + versions: + - name: v1alpha1 + served: true + storage: true + schema: + openAPIV3Schema: + type: object + properties: + spec: + type: object + x-kubernetes-preserve-unknown-fields: true + status: + type: object + x-kubernetes-preserve-unknown-fields: true + scope: Namespaced + names: + plural: clusterconfigurations + singular: clusterconfiguration + kind: ClusterConfiguration + shortNames: + - cc + +--- +apiVersion: v1 +kind: Namespace +metadata: + name: kubesphere-system + +--- +apiVersion: v1 +kind: ServiceAccount +metadata: + name: ks-installer + namespace: kubesphere-system + +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: ks-installer +rules: +- apiGroups: + - "" + resources: + - '*' + verbs: + - '*' +- apiGroups: + - apps + resources: + - '*' + verbs: + - '*' +- apiGroups: + - extensions + resources: + - '*' + verbs: + - '*' +- apiGroups: + - batch + resources: + - '*' + verbs: + - '*' +- apiGroups: + - rbac.authorization.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - apiregistration.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - apiextensions.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - tenant.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - certificates.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - devops.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - monitoring.coreos.com + resources: + - '*' + verbs: + - '*' +- apiGroups: + - logging.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - jaegertracing.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - storage.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - admissionregistration.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - policy + resources: + - '*' + verbs: + - '*' +- apiGroups: + - autoscaling + resources: + - '*' + verbs: + - '*' +- apiGroups: + - networking.istio.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - config.istio.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - iam.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - notification.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - auditing.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - events.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - core.kubefed.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - installer.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - storage.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - security.istio.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - monitoring.kiali.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - kiali.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - networking.k8s.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - edgeruntime.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - types.kubefed.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - monitoring.kubesphere.io + resources: + - '*' + verbs: + - '*' +- apiGroups: + - application.kubesphere.io + resources: + - '*' + verbs: + - '*' + + +--- +kind: ClusterRoleBinding +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: ks-installer +subjects: +- kind: ServiceAccount + name: ks-installer + namespace: kubesphere-system +roleRef: + kind: ClusterRole + name: ks-installer + apiGroup: rbac.authorization.k8s.io + +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ks-installer + namespace: kubesphere-system + labels: + app: ks-installer +spec: + replicas: 1 + selector: + matchLabels: + app: ks-installer + template: + metadata: + labels: + app: ks-installer + spec: + serviceAccountName: ks-installer + containers: + - name: installer + image: pxllpx/kubesphere-install:v4.0 + imagePullPolicy: "Always" + resources: + limits: + cpu: "1" + memory: 1Gi + requests: + cpu: 20m + memory: 100Mi + volumeMounts: + - mountPath: /etc/localtime + name: host-time + readOnly: true + volumes: + - hostPath: + path: /etc/localtime + type: "" + name: host-time diff --git a/config/kubesphere+prometheus+grafana/prometheus/prometheus-service.yaml b/config/kubesphere+prometheus+grafana/prometheus/prometheus-service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9d0af8272eb7950079f98c0f3e5de0ca4a832f53 --- /dev/null +++ b/config/kubesphere+prometheus+grafana/prometheus/prometheus-service.yaml @@ -0,0 +1,28 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + app.kubernetes.io/component: prometheus + app.kubernetes.io/instance: k8s + app.kubernetes.io/name: prometheus + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 2.34.0 + name: prometheus-k8s + namespace: kubesphere-monitoring-system +spec: + type: NodePort + ports: + - name: web + port: 9090 + targetPort: web + nodePort: 31110 + protocol: TCP + - name: reloader-web + port: 8080 + targetPort: reloader-web + selector: + app.kubernetes.io/component: prometheus + app.kubernetes.io/instance: k8s + app.kubernetes.io/name: prometheus + app.kubernetes.io/part-of: kube-prometheus + sessionAffinity: ClientIP \ No newline at end of file diff --git a/config/nfs/deployment.yaml b/config/nfs/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c643ad331bef0071eb00ccb2bbc4660c360dbf97 --- /dev/null +++ b/config/nfs/deployment.yaml @@ -0,0 +1,39 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: nfs-client-provisioner + labels: + app: nfs-client-provisioner + # replace with namespace where provisioner is deployed + namespace: kube-system +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: nfs-client-provisioner + template: + metadata: + labels: + app: nfs-client-provisioner + spec: + serviceAccountName: nfs-client-provisioner + containers: + - name: nfs-client-provisioner + image: registry.cn-beijing.aliyuncs.com/pylixm/nfs-subdir-external-provisioner:v4.0.0 + volumeMounts: + - name: nfs-client-root + mountPath: /persistentvolumes + env: + - name: PROVISIONER_NAME + value: fuseim.pri/ifs + - name: NFS_SERVER + value: 192.168.5.63 + - name: NFS_PATH + value: /nfs + volumes: + - name: nfs-client-root + nfs: + server: 192.168.5.63 + path: /nfs diff --git a/config/nfs/rbac.yaml b/config/nfs/rbac.yaml new file mode 100644 index 0000000000000000000000000000000000000000..60eb95cda1f16e5af53e1fbdf4fd7240d88ce004 --- /dev/null +++ b/config/nfs/rbac.yaml @@ -0,0 +1,65 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: nfs-client-provisioner + # replace with namespace where provisioner is deployed + namespace: kube-system +--- +kind: ClusterRole +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: nfs-client-provisioner-runner +rules: + - apiGroups: [""] + resources: ["persistentvolumes"] + verbs: ["get", "list", "watch", "create", "delete"] + - apiGroups: [""] + resources: ["persistentvolumeclaims"] + verbs: ["get", "list", "watch", "update"] + - apiGroups: ["storage.k8s.io"] + resources: ["storageclasses"] + verbs: ["get", "list", "watch"] + - apiGroups: [""] + resources: ["events"] + verbs: ["create", "update", "patch"] +--- +kind: ClusterRoleBinding +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: run-nfs-client-provisioner +subjects: + - kind: ServiceAccount + name: nfs-client-provisioner + # replace with namespace where provisioner is deployed + namespace: kube-system +roleRef: + kind: ClusterRole + name: nfs-client-provisioner-runner + apiGroup: rbac.authorization.k8s.io +--- +kind: Role +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: leader-locking-nfs-client-provisioner + # replace with namespace where provisioner is deployed + namespace: kube-system +rules: + - apiGroups: [""] + resources: ["endpoints"] + verbs: ["get", "list", "watch", "create", "update", "patch"] +--- +kind: RoleBinding +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: leader-locking-nfs-client-provisioner + # replace with namespace where provisioner is deployed + namespace: kube-system +subjects: + - kind: ServiceAccount + name: nfs-client-provisioner + # replace with namespace where provisioner is deployed + namespace: kube-system +roleRef: + kind: Role + name: leader-locking-nfs-client-provisioner + apiGroup: rbac.authorization.k8s.io diff --git a/config/nfs/storage.yaml b/config/nfs/storage.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1febf6b5d275a31e9cc30e55f4f547cc48857d9d --- /dev/null +++ b/config/nfs/storage.yaml @@ -0,0 +1,9 @@ +apiVersion: storage.k8s.io/v1 +kind: StorageClass +metadata: + name: managed-nfs-storage + annotations: + storageclass.kubernetes.io/is-default-class: "true" +provisioner: fuseim.pri/ifs # or choose another name, must match deployment's env PROVISIONER_NAME' +parameters: + archiveOnDelete: "false" diff --git a/config/nvidia-device-plugin/DONOT_USED_daemonset.yaml b/config/nvidia-device-plugin/DONOT_USED_daemonset.yaml new file mode 100644 index 0000000000000000000000000000000000000000..30be9efba9d3b6cdfce6d7b232029ff5d70182a3 --- /dev/null +++ b/config/nvidia-device-plugin/DONOT_USED_daemonset.yaml @@ -0,0 +1,71 @@ +apiVersion: apps/v1 +kind: DaemonSet +metadata: + annotations: + deprecated.daemonset.template.generation: "1" + meta.helm.sh/release-name: nvdp + meta.helm.sh/release-namespace: nvidia-device-plugin + creationTimestamp: "2023-03-11T13:22:59Z" + generation: 1 + labels: + app.kubernetes.io/instance: nvdp + app.kubernetes.io/managed-by: Helm + app.kubernetes.io/name: nvidia-device-plugin + app.kubernetes.io/version: 0.13.0 + helm.sh/chart: nvidia-device-plugin-0.13.0 + name: nvdp-nvidia-device-plugin + namespace: nvidia-device-plugin + resourceVersion: "27016222" + uid: 3499e587-f0bc-4493-ad88-5b01dafbe3a4 +spec: + revisionHistoryLimit: 10 + selector: + matchLabels: + app.kubernetes.io/instance: nvdp + app.kubernetes.io/name: nvidia-device-plugin + template: + metadata: + creationTimestamp: null + labels: + app.kubernetes.io/instance: nvdp + app.kubernetes.io/name: nvidia-device-plugin + spec: + containers: + - env: + - name: NVIDIA_MIG_MONITOR_DEVICES + value: all + image: nvcr.io/nvidia/k8s-device-plugin:v0.13.0 + imagePullPolicy: IfNotPresent + name: nvidia-device-plugin-ctr + resources: {} + securityContext: + capabilities: + add: + - SYS_ADMIN + terminationMessagePath: /dev/termination-log + terminationMessagePolicy: File + volumeMounts: + - mountPath: /var/lib/kubelet/device-plugins + name: device-plugin + dnsPolicy: ClusterFirst + priorityClassName: system-node-critical + restartPolicy: Always + schedulerName: default-scheduler + securityContext: {} + terminationGracePeriodSeconds: 30 + tolerations: + - key: CriticalAddonsOnly + operator: Exists + - effect: NoSchedule + key: nvidia.com/gpu + operator: Exists + volumes: + - hostPath: + path: /var/lib/kubelet/device-plugins + type: "" + name: device-plugin + updateStrategy: + rollingUpdate: + maxSurge: 0 + maxUnavailable: 1 + type: RollingUpdate \ No newline at end of file diff --git a/config/nvidia-device-plugin/README.md b/config/nvidia-device-plugin/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2a8704bdabfed9bc36d017bf2e59d79974f226eb --- /dev/null +++ b/config/nvidia-device-plugin/README.md @@ -0,0 +1,15 @@ +# 安装 + +请使用helm安装！！！ +请使用helm安装！！！ +请使用helm安装！！！ + +版本 0.13.0 + +## 添加configMap + +- `kubectl apply config.yaml` + +## 使用helm部署 + +- `helm upgrade -i nvdp nvdp/nvidia-device-plugin --version=0.13.0 --namespace nvidia-device-plugin --set config.name=nvidia-plugin-configs` \ No newline at end of file diff --git a/config/nvidia-device-plugin/config.yaml b/config/nvidia-device-plugin/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..71b2b02a032fb12d5db1522e47750ce360c91336 --- /dev/null +++ b/config/nvidia-device-plugin/config.yaml @@ -0,0 +1,24 @@ +apiVersion: v1 +data: + config: |- + version: v1 + flags: + migStrategy: "none" + failOnInitError: true + nvidiaDriverRoot: "/" + plugin: + passDeviceSpecs: false + deviceListStrategy: "envvar" + deviceIDStrategy: "uuid" + sharing: + timeSlicing: + renameByDefault: false + failRequestsGreaterThanOne: false + resources: + - name: nvidia.com/gpu + rename: nvidia.com/gpu + replicas: 10 +kind: ConfigMap +metadata: + name: nvidia-plugin-configs + namespace: nvidia-device-plugin \ No newline at end of file diff --git a/config/nvidia-docker/install.sh b/config/nvidia-docker/install.sh new file mode 100644 index 0000000000000000000000000000000000000000..6a2b7f3acc2bd08be92ed1a20a8e5968aee6f83e --- /dev/null +++ b/config/nvidia-docker/install.sh @@ -0,0 +1,7 @@ +# 加入套件仓库 +distribution=$(. /etc/os-release;echo $ID$VERSION_ID) +curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - +curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list + +sudo apt-get update && sudo apt-get install -y nvidia-docker2 +sudo systemctl restart docker \ No newline at end of file diff --git a/config/old-prometheus/gpu-stat/deployment.yaml b/config/old-prometheus/gpu-stat/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..555c7bac7121b4071a72c531562e5992b492ab70 --- /dev/null +++ b/config/old-prometheus/gpu-stat/deployment.yaml @@ -0,0 +1,40 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: gpu-stat + namespace: monitoring + labels: + app: gpu-stat +spec: + replicas: 1 + selector: + matchLabels: + app: gpu-stat + template: + metadata: + labels: + app: gpu-stat + spec: + containers: + - name: gpu-stat + image: prome-gpu-stat:v1 + imagePullPolicy: IfNotPresent + resources: + limits: + memory: "128Mi" + cpu: "50m" + ports: + - containerPort: 8080 + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - act-poweredge-t630 + securityContext: + runAsUser: 0 + + diff --git a/config/old-prometheus/gpu-stat/kube-prometheus-service.yaml b/config/old-prometheus/gpu-stat/kube-prometheus-service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..21c84d43d292ddaf4b2129060f8c497b00a8f658 --- /dev/null +++ b/config/old-prometheus/gpu-stat/kube-prometheus-service.yaml @@ -0,0 +1,50 @@ +apiVersion: v1 +kind: Endpoints +metadata: + name: gpu-stat + namespace: monitoring + labels: + app: gpu-stat +subsets: + - addresses: + - ip: 192.168.5.61 + - ip: 192.168.5.62 + - ip: 192.168.5.63 + - ip: 192.168.5.64 + - ip: 192.168.5.66 + # 外部服务的IP列表 + ports: + - name: gpu-stat # 外部服务的端口列表，与Service中映射的端口名相对应 + port: 8080 +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: + app: gpu-stat + name: gpu-stat + namespace: monitoring +spec: + endpoints: + - interval: 5s # 每30s获取一次信息 + port: gpu-stat # 对应service的端口名 + jobLabel: k8s-gpu + namespaceSelector: # 表示去匹配某一命名空间中的service，如果想从所有的namespace中匹配用any: true + matchNames: + - monitoring + selector: # 匹配的 Service 的labels，如果使用mathLabels，则下面的所有标签都匹配时才会匹配该service，如果使用matchExpressions，则至少匹配一个标签的service都会被选择 + matchLabels: + app: gpu-stat +--- +apiVersion: v1 +kind: Service +metadata: + name: gpu-stat + namespace: monitoring + labels: + app: gpu-stat +spec: + type: ClusterIP + ports: + - port: 8080 + name: gpu-stat \ No newline at end of file diff --git a/config/old-prometheus/gpu-stat/service.yaml b/config/old-prometheus/gpu-stat/service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d221d5a1236e8e4bde5379e37a02daf87808ad3f --- /dev/null +++ b/config/old-prometheus/gpu-stat/service.yaml @@ -0,0 +1,109 @@ +apiVersion: v1 +kind: Service +metadata: + name: gpu-stat-61 + namespace: monitoring + annotations: + prometheus.io/should_be_scraped: "true" +spec: + type: NodePort + ports: + - port: 8080 + name: stat-61 + +--- +apiVersion: v1 +kind: Endpoints +metadata: + name: gpu-stat-61 + namespace: monitoring +subsets: + - addresses: + - ip: 192.168.5.61 # 外部服务的IP列表 + ports: + - name: stat-61 # 外部服务的端口列表，与Service中映射的端口名相对应 + port: 8080 + +--- + +apiVersion: v1 +kind: Service +metadata: + name: gpu-stat-62 + namespace: monitoring + annotations: + prometheus.io/should_be_scraped: "true" +spec: + type: NodePort + ports: + - port: 8080 + name: stat-62 + +--- +apiVersion: v1 +kind: Endpoints +metadata: + name: gpu-stat-62 + namespace: monitoring +subsets: + - addresses: + - ip: 192.168.5.62 # 外部服务的IP列表 + ports: + - name: stat-62 # 外部服务的端口列表，与Service中映射的端口名相对应 + port: 8080 + +--- + +apiVersion: v1 +kind: Service +metadata: + name: gpu-stat-63 + namespace: monitoring + annotations: + prometheus.io/should_be_scraped: "true" +spec: + type: NodePort + ports: + - port: 8080 + name: stat-63 + +--- +apiVersion: v1 +kind: Endpoints +metadata: + name: gpu-stat-63 + namespace: monitoring +subsets: + - addresses: + - ip: 192.168.5.63 # 外部服务的IP列表 + ports: + - name: stat-63 # 外部服务的端口列表，与Service中映射的端口名相对应 + port: 8080 + +--- + +apiVersion: v1 +kind: Service +metadata: + name: gpu-stat-64 + namespace: monitoring + annotations: + prometheus.io/should_be_scraped: "true" +spec: + type: NodePort + ports: + - port: 8080 + name: stat-64 + +--- +apiVersion: v1 +kind: Endpoints +metadata: + name: gpu-stat-64 + namespace: monitoring +subsets: + - addresses: + - ip: 192.168.5.64 # 外部服务的IP列表 + ports: + - name: stat-64 # 外部服务的端口列表，与Service中映射的端口名相对应 + port: 8080 \ No newline at end of file diff --git a/config/old-prometheus/grafana.deployment.yaml b/config/old-prometheus/grafana.deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..825d3fb898b9f94a0139a7723adcb548f2c6ecb3 --- /dev/null +++ b/config/old-prometheus/grafana.deployment.yaml @@ -0,0 +1,66 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: grafana + namespace: monitoring + labels: + app: grafana +spec: + replicas: 1 + revisionHistoryLimit: 2 + selector: + matchLabels: + app: grafana + minReadySeconds: 0 + strategy: + type: RollingUpdate + rollingUpdate: + maxUnavailable: 1 + maxSurge: 1 + template: + metadata: + labels: + app: grafana + spec: + tolerations: + - key: "node-role.kubernetes.io/master" + operator: "Exists" + effect: "NoSchedule" + containers: + - name: grafana + image: grafana/grafana + imagePullPolicy: IfNotPresent + resources: + limits: + memory: "128Mi" + cpu: "50m" + readinessProbe: + httpGet: + path: /api/health + port: 3000 + initialDelaySeconds: 60 + periodSeconds: 10 + livenessProbe: + tcpSocket: + port: 3000 + initialDelaySeconds: 60 + periodSeconds: 10 + ports: + - containerPort: 3000 + env: + - name: GF_SECURITY_ADMIN_USER + value: admin + - name: GF_SECURITY_ADMIN_PASSWORD + value: adminLipeixi + volumeMounts: + - mountPath: /var/lib/grafana + subPath: grafana + name: grafana-data + securityContext: + runAsUser: 0 + volumes: + - name: grafana-data + persistentVolumeClaim: + claimName: grafana-storage + + diff --git a/config/old-prometheus/grafana.service.yaml b/config/old-prometheus/grafana.service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d49728d902a2616c8beebc4a4e5f36b62ef16d23 --- /dev/null +++ b/config/old-prometheus/grafana.service.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Service +metadata: + name: grafana + namespace: monitoring +spec: + selector: + app: grafana + type: NodePort + ports: + - protocol: TCP + port: 3000 + targetPort: 3000 + nodePort: 31120 + diff --git a/config/old-prometheus/grafana.volume.yaml b/config/old-prometheus/grafana.volume.yaml new file mode 100644 index 0000000000000000000000000000000000000000..259448b0793ba55324080d9a9f24f08b12122775 --- /dev/null +++ b/config/old-prometheus/grafana.volume.yaml @@ -0,0 +1,36 @@ +apiVersion: v1 +kind: PersistentVolume +metadata: + name: grafana-pv + namespace: monitoring +spec: + capacity: + storage: 100Gi + accessModes: + - ReadWriteOnce + persistentVolumeReclaimPolicy: Retain + storageClassName: prometheus-grafana + local: + path: /home/lpx/prometheus/grafana + nodeAffinity: + required: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - master-60 +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: grafana-storage + namespace: monitoring +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 100Gi + storageClassName: prometheus-grafana + volumeName: grafana-pv \ No newline at end of file diff --git a/config/old-prometheus/namespace.yaml b/config/old-prometheus/namespace.yaml new file mode 100644 index 0000000000000000000000000000000000000000..392c792451f99c86bd4b95e311a4758f314932af --- /dev/null +++ b/config/old-prometheus/namespace.yaml @@ -0,0 +1,7 @@ +apiVersion: v1 + +kind: Namespace + +metadata: + + name: monitoring diff --git a/config/old-prometheus/prometheus.config.yaml b/config/old-prometheus/prometheus.config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..640a56bab857c8240fd764b9847b129948e89fff --- /dev/null +++ b/config/old-prometheus/prometheus.config.yaml @@ -0,0 +1,41 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + name: prometheus-config + namespace: monitoring +data: + default: | + # my global config + global: + scrape_interval: 10s # Set the scrape interval to every 15 seconds. Default is every 1 minute. + evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute. + + # Load rules once and periodically evaluate them according to the global 'evaluation_interval'. + rule_files: + # - "first_rules.yml" + # - "second_rules.yml" + + # A scrape configuration containing exactly one endpoint to scrape: + scrape_configs: + - job_name: 'kubernetes-service-endpoints' + kubernetes_sd_configs: + - role: endpoints + relabel_configs: + - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_should_be_scraped] + action: keep + regex: true + - action: labelmap + regex: __meta_kubernetes_pod_label_(.+) + - source_labels: [__meta_kubernetes_namespace] + action: replace + target_label: k8s_namespace + - source_labels: [__meta_kubernetes_service_name] + action: replace + target_label: k8s_service + - source_labels: [__meta_kubernetes_pod_name] + separator: ; + regex: (.*) + replacement: $1 + target_label: k8s_pod + action: replace + diff --git a/config/old-prometheus/prometheus.deployment.yaml b/config/old-prometheus/prometheus.deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..accb50b2e2865ca084114c1c67c9b0628e2ca3fc --- /dev/null +++ b/config/old-prometheus/prometheus.deployment.yaml @@ -0,0 +1,76 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: prometheus + namespace: monitoring + labels: + app: prometheus +spec: + replicas: 1 + revisionHistoryLimit: 2 # how many old ReplicaSets for this Deployment you want to retain, https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#clean-up-policy + selector: + matchLabels: + app: prometheus + minReadySeconds: 0 + strategy: + type: RollingUpdate + rollingUpdate: + maxUnavailable: 1 + maxSurge: 1 + template: + metadata: + labels: + app: prometheus + spec: + serviceAccountName: prometheus + tolerations: + - key: "node-role.kubernetes.io/master" + operator: "Exists" + effect: "NoSchedule" + containers: + - name: prometheus + image: prom/prometheus + imagePullPolicy: IfNotPresent + command: + - "/bin/prometheus" + args: + - "--config.file=/etc/prometheus/prometheus.yml" + - "--storage.tsdb.path=/prometheus" + - "--storage.tsdb.retention=30d" + - "--web.enable-admin-api" # 控制对admin HTTP API的访问，其中包括删除时间序列等功能 + - "--web.enable-lifecycle" # 支持热更新，直接执行localhost:9090/-/reload立即生效 + resources: + limits: + memory: "512Mi" + cpu: "200m" + readinessProbe: + httpGet: + path: /-/ready + port: 9090 + initialDelaySeconds: 60 + periodSeconds: 10 + livenessProbe: + httpGet: + path: /-/healthy + port: 9090 + initialDelaySeconds: 60 + periodSeconds: 10 + ports: + - containerPort: 80 + volumeMounts: + - name: config + mountPath: /etc/prometheus/prometheus.yml + subPath: default + - mountPath: "/prometheus" + subPath: prometheus + name: data + securityContext: + runAsUser: 0 + volumes: + - name: data + persistentVolumeClaim: + claimName: prometheus-data + - name: config + configMap: + name: prometheus-config + diff --git a/config/old-prometheus/prometheus.roles.yaml b/config/old-prometheus/prometheus.roles.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0075eeada0c928e95d4e01dde25b52786f0510bd --- /dev/null +++ b/config/old-prometheus/prometheus.roles.yaml @@ -0,0 +1,41 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: prometheus + namespace: monitoring + +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: prometheus +rules: +- apiGroups: [""] + resources: + - nodes + - services + - endpoints + - pods + verbs: ["get", "list", "watch"] +- apiGroups: [""] + resources: + - configmaps + verbs: ["get"] +- nonResourceURLs: ["/metrics"] + verbs: ["get"] + + +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: prometheus +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: prometheus +subjects: +- kind: ServiceAccount + name: prometheus + namespace: monitoring + diff --git a/config/old-prometheus/prometheus.service.yaml b/config/old-prometheus/prometheus.service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c4bbe9aae99ebb50c8188aa0f53e6d4be34cd97c --- /dev/null +++ b/config/old-prometheus/prometheus.service.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Service +metadata: + name: prometheus + namespace: monitoring +spec: + selector: + app: prometheus + type: NodePort + ports: + - protocol: TCP + port: 9090 + targetPort: 9090 + nodePort: 31110 + diff --git a/config/old-prometheus/prometheus.volume.yaml b/config/old-prometheus/prometheus.volume.yaml new file mode 100644 index 0000000000000000000000000000000000000000..50ae2e14bbd4d453682a75246fa676d793beb165 --- /dev/null +++ b/config/old-prometheus/prometheus.volume.yaml @@ -0,0 +1,37 @@ +apiVersion: v1 +kind: PersistentVolume +metadata: + name: prometheus-pv + namespace: monitoring +spec: + capacity: + storage: 100Gi + accessModes: + - ReadWriteOnce + persistentVolumeReclaimPolicy: Retain + storageClassName: prometheus-config + local: + path: /home/lpx/prometheus/data + nodeAffinity: + required: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - master-60 + +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: prometheus-data + namespace: monitoring +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 100Gi + storageClassName: prometheus-config + volumeName: prometheus-pv \ No newline at end of file diff --git a/crd-controller/.dockerignore b/crd-controller/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..a3aab7af70cd8a107975af478bf654d0ca540384 --- /dev/null +++ b/crd-controller/.dockerignore @@ -0,0 +1,3 @@ +# More info: https://docs.docker.com/engine/reference/builder/#dockerignore-file +# Ignore build and test binaries. +bin/ diff --git a/crd-controller/.gitignore b/crd-controller/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..7f02333db7abed1b675b7a1f1c62c2615ff3f630 --- /dev/null +++ b/crd-controller/.gitignore @@ -0,0 +1,26 @@ + +# Binaries for programs and plugins +*.exe +*.exe~ +*.dll +*.so +*.dylib +bin/* +Dockerfile.cross + +# Test binary, build with `go test -c` +*.test + +# Output of the go coverage tool, specifically when used with LiteIDE +*.out + +# Kubernetes Generated files - skip generated files, except for vendored files + +!vendor/**/zz_generated.* + +# editor and IDE paraphernalia +.idea +.vscode +*.swp +*.swo +*~ diff --git a/crd-controller/Dockerfile b/crd-controller/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..5ea7bde2a055e9f022230508fc171d157a8c6d88 --- /dev/null +++ b/crd-controller/Dockerfile @@ -0,0 +1,33 @@ +# Build the manager binary +FROM golang:1.20 as builder +ARG TARGETOS +ARG TARGETARCH + +WORKDIR /workspace +# Copy the Go Modules manifests +COPY go.mod go.mod +COPY go.sum go.sum +# cache deps before building and copying source so that we don't need to re-download as much +# and so that source changes don't invalidate our downloaded layer +RUN go env -w GOPROXY="https://goproxy.cn,direct" && go mod download + +# Copy the go source +COPY cmd/main.go cmd/main.go +COPY api/ api/ +COPY internal/ internal/ + +# Build +# the GOARCH has not a default value to allow the binary be built according to the host where the command +# was called. For example, if we call make docker-build in a local env which has the Apple Silicon M1 SO +# the docker BUILDPLATFORM arg will be linux/arm64 when for Apple x86 it will be linux/amd64. Therefore, +# by leaving it empty we can ensure that the container and binary shipped on it will have the same platform. +RUN export GO111MODULE="on" && CGO_ENABLED=0 GOOS=${TARGETOS:-linux} GOARCH=${TARGETARCH} go build -a -o manager cmd/main.go + +# Use distroless as minimal base image to package the manager binary +# Refer to https://github.com/GoogleContainerTools/distroless for more details +FROM gcr.io/distroless/static:nonroot + +WORKDIR / +COPY --from=builder /workspace/manager / +USER 65532:65532 +ENTRYPOINT ["/manager"] diff --git a/crd-controller/Makefile b/crd-controller/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..4c595977a034c51cdb7cb5eaa208abdbed1b22ef --- /dev/null +++ b/crd-controller/Makefile @@ -0,0 +1,165 @@ + +# Image URL to use all building/pushing image targets +IMG ?= controller:latest +# ENVTEST_K8S_VERSION refers to the version of kubebuilder assets to be downloaded by envtest binary. +ENVTEST_K8S_VERSION = 1.27.1 + +# Get the currently used golang install path (in GOPATH/bin, unless GOBIN is set) +ifeq (,$(shell go env GOBIN)) +GOBIN=$(shell go env GOPATH)/bin +else +GOBIN=$(shell go env GOBIN) +endif + +# CONTAINER_TOOL defines the container tool to be used for building images. +# Be aware that the target commands are only tested with Docker which is +# scaffolded by default. However, you might want to replace it to use other +# tools. (i.e. podman) +CONTAINER_TOOL ?= docker + +# Setting SHELL to bash allows bash commands to be executed by recipes. +# Options are set to exit when a recipe line exits non-zero or a piped command fails. +SHELL = /usr/bin/env bash -o pipefail +.SHELLFLAGS = -ec + +.PHONY: all +all: build + +##@ General + +# The help target prints out all targets with their descriptions organized +# beneath their categories. The categories are represented by '##@' and the +# target descriptions by '##'. The awk commands is responsible for reading the +# entire set of makefiles included in this invocation, looking for lines of the +# file as xyz: ## something, and then pretty-format the target and help. Then, +# if there's a line with ##@ something, that gets pretty-printed as a category. +# More info on the usage of ANSI control characters for terminal formatting: +# https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_parameters +# More info on the awk command: +# http://linuxcommand.org/lc3_adv_awk.php + +.PHONY: help +help: ## Display this help. + @awk 'BEGIN {FS = ":.*##"; printf "\nUsage:\n make \033[36m\033[0m\n"} /^[a-zA-Z_0-9-]+:.*?##/ { printf " \033[36m%-15s\033[0m %s\n", $$1, $$2 } /^##@/ { printf "\n\033[1m%s\033[0m\n", substr($$0, 5) } ' $(MAKEFILE_LIST) + +##@ Development + +.PHONY: manifests +manifests: controller-gen ## Generate WebhookConfiguration, ClusterRole and CustomResourceDefinition objects. + $(CONTROLLER_GEN) rbac:roleName=manager-role crd webhook paths="./..." output:crd:artifacts:config=config/crd/bases + +.PHONY: generate +generate: controller-gen ## Generate code containing DeepCopy, DeepCopyInto, and DeepCopyObject method implementations. + $(CONTROLLER_GEN) object:headerFile="hack/boilerplate.go.txt" paths="./..." + +.PHONY: fmt +fmt: ## Run go fmt against code. + go fmt ./... + +.PHONY: vet +vet: ## Run go vet against code. + go vet ./... + +.PHONY: test +test: manifests generate fmt vet envtest ## Run tests. + KUBEBUILDER_ASSETS="$(shell $(ENVTEST) use $(ENVTEST_K8S_VERSION) --bin-dir $(LOCALBIN) -p path)" go test ./... -coverprofile cover.out + +##@ Build + +.PHONY: build +build: manifests generate fmt vet ## Build manager binary. + go build -o bin/manager cmd/main.go + +.PHONY: run +run: manifests generate fmt vet ## Run a controller from your host. + go run ./cmd/main.go + +# If you wish built the manager image targeting other platforms you can use the --platform flag. +# (i.e. docker build --platform linux/arm64 ). However, you must enable docker buildKit for it. +# More info: https://docs.docker.com/develop/develop-images/build_enhancements/ +.PHONY: docker-build +docker-build: test ## Build docker image with the manager. + $(CONTAINER_TOOL) build -t ${IMG} . + +.PHONY: docker-push +docker-push: ## Push docker image with the manager. + $(CONTAINER_TOOL) push ${IMG} + +# PLATFORMS defines the target platforms for the manager image be build to provide support to multiple +# architectures. (i.e. make docker-buildx IMG=myregistry/mypoperator:0.0.1). To use this option you need to: +# - able to use docker buildx . More info: https://docs.docker.com/build/buildx/ +# - have enable BuildKit, More info: https://docs.docker.com/develop/develop-images/build_enhancements/ +# - be able to push the image for your registry (i.e. if you do not inform a valid value via IMG=> then the export will fail) +# To properly provided solutions that supports more than one platform you should use this option. +PLATFORMS ?= linux/arm64,linux/amd64,linux/s390x,linux/ppc64le +.PHONY: docker-buildx +docker-buildx: test ## Build and push docker image for the manager for cross-platform support + # copy existing Dockerfile and insert --platform=${BUILDPLATFORM} into Dockerfile.cross, and preserve the original Dockerfile + sed -e '1 s/\(^FROM\)/FROM --platform=\$$\{BUILDPLATFORM\}/; t' -e ' 1,// s//FROM --platform=\$$\{BUILDPLATFORM\}/' Dockerfile > Dockerfile.cross + - $(CONTAINER_TOOL) buildx create --name project-v3-builder + $(CONTAINER_TOOL) buildx use project-v3-builder + - $(CONTAINER_TOOL) buildx build --push --platform=$(PLATFORMS) --tag ${IMG} -f Dockerfile.cross . + - $(CONTAINER_TOOL) buildx rm project-v3-builder + rm Dockerfile.cross + +##@ Deployment + +ifndef ignore-not-found + ignore-not-found = false +endif + +.PHONY: install +install: manifests kustomize ## Install CRDs into the K8s cluster specified in ~/.kube/config. + $(KUSTOMIZE) build config/crd | $(KUBECTL) apply -f - + +.PHONY: uninstall +uninstall: manifests kustomize ## Uninstall CRDs from the K8s cluster specified in ~/.kube/config. Call with ignore-not-found=true to ignore resource not found errors during deletion. + $(KUSTOMIZE) build config/crd | $(KUBECTL) delete --ignore-not-found=$(ignore-not-found) -f - + +.PHONY: deploy +deploy: manifests kustomize ## Deploy controller to the K8s cluster specified in ~/.kube/config. + cd config/manager && $(KUSTOMIZE) edit set image controller=${IMG} + $(KUSTOMIZE) build config/default | $(KUBECTL) apply -f - + kubectl apply -f config/rbac/root_role.yaml + +.PHONY: undeploy +undeploy: ## Undeploy controller from the K8s cluster specified in ~/.kube/config. Call with ignore-not-found=true to ignore resource not found errors during deletion. + $(KUSTOMIZE) build config/default | $(KUBECTL) delete --ignore-not-found=$(ignore-not-found) -f - + kubectl delete -f config/rbac/root_role.yaml + +##@ Build Dependencies + +## Location to install dependencies to +LOCALBIN ?= $(shell pwd)/bin +$(LOCALBIN): + mkdir -p $(LOCALBIN) + +## Tool Binaries +KUBECTL ?= kubectl +KUSTOMIZE ?= $(LOCALBIN)/kustomize +CONTROLLER_GEN ?= $(LOCALBIN)/controller-gen +ENVTEST ?= $(LOCALBIN)/setup-envtest + +## Tool Versions +KUSTOMIZE_VERSION ?= v5.0.1 +CONTROLLER_TOOLS_VERSION ?= v0.12.0 + +.PHONY: kustomize +kustomize: $(KUSTOMIZE) ## Download kustomize locally if necessary. If wrong version is installed, it will be removed before downloading. +$(KUSTOMIZE): $(LOCALBIN) + @if test -x $(LOCALBIN)/kustomize && ! $(LOCALBIN)/kustomize version | grep -q $(KUSTOMIZE_VERSION); then \ + echo "$(LOCALBIN)/kustomize version is not expected $(KUSTOMIZE_VERSION). Removing it before installing."; \ + rm -rf $(LOCALBIN)/kustomize; \ + fi + test -s $(LOCALBIN)/kustomize || GOBIN=$(LOCALBIN) GO111MODULE=on go install sigs.k8s.io/kustomize/kustomize/v5@$(KUSTOMIZE_VERSION) + +.PHONY: controller-gen +controller-gen: $(CONTROLLER_GEN) ## Download controller-gen locally if necessary. If wrong version is installed, it will be overwritten. +$(CONTROLLER_GEN): $(LOCALBIN) + test -s $(LOCALBIN)/controller-gen && $(LOCALBIN)/controller-gen --version | grep -q $(CONTROLLER_TOOLS_VERSION) || \ + GOBIN=$(LOCALBIN) go install sigs.k8s.io/controller-tools/cmd/controller-gen@$(CONTROLLER_TOOLS_VERSION) + +.PHONY: envtest +envtest: $(ENVTEST) ## Download envtest-setup locally if necessary. +$(ENVTEST): $(LOCALBIN) + test -s $(LOCALBIN)/setup-envtest || GOBIN=$(LOCALBIN) go install sigs.k8s.io/controller-runtime/tools/setup-envtest@latest diff --git a/crd-controller/PROJECT b/crd-controller/PROJECT new file mode 100644 index 0000000000000000000000000000000000000000..75172dd974c9682e51ee7a537538147164fb5873 --- /dev/null +++ b/crd-controller/PROJECT @@ -0,0 +1,29 @@ +# Code generated by tool. DO NOT EDIT. +# This file is used to track the info used to scaffold your project +# and allow the plugins properly work. +# More info: https://book.kubebuilder.io/reference/project-config.html +domain: kube-gpu-sparse.io +layout: +- go.kubebuilder.io/v4 +projectName: crd-controller +repo: kube-gpu/scheduler/crd-controller/v2 +resources: +- api: + crdVersion: v1 + namespaced: true + controller: true + domain: kube-gpu-sparse.io + group: kube-gpu-sparse + kind: RecommendDLJob + path: kube-gpu/scheduler/crd-controller/v2/api/v1 + version: v1 +- api: + crdVersion: v1 + namespaced: true + controller: true + domain: kube-gpu-sparse.io + group: kube-gpu-sparse + kind: DataSet + path: kube-gpu/scheduler/crd-controller/v2/api/v1 + version: v1 +version: "3" diff --git a/crd-controller/README.md b/crd-controller/README.md new file mode 100644 index 0000000000000000000000000000000000000000..689a0f1bdd0e534864f22f9508970d08abbbd470 --- /dev/null +++ b/crd-controller/README.md @@ -0,0 +1,144 @@ +# crd-controller +// TODO(user): Add simple overview of use/purpose + +## Description +// TODO(user): An in-depth paragraph about your project and overview of use + +## 任务提交模块 + +### 任务定义 + +- 任务类型：long-running或者oneshot +- 数据交互关系：和其他同类型任务 +- 数据集：声明使用的数据集 +- 任务参数： + - Macs + - params + - batchSize + - InputTensor + - embedding相关 + +### 逻辑 + +- 任务可以绑定多个数据集，映射到指定目录下 +- Recommenddljob + - 生成taskId + - 将任务参数打到pod标签上 + - 数据交互关系、任务类型打到pod标签上 + - pod重启策略： + - long-running：Always + - oneshot：Nerver + - pod创建逻辑： + - pod名称根据任务名称拼接 + - 数据集：打到标签上，通知数据集管理模块准备数据集 + - 创建init container，逻辑为请求daemonset查询数据集是否准备完毕 + - 目录映射：pod内映射ceph目录、本地数据集目录 + - `/.ceph`: ceph目录 + - `/.dataset`：本地数据集目录 + - `/.pod`：每个pod自身的目录 + - 通过软链接将`/.pod`映射至`/.ceph`或`/.dataset` + - 指定每个pvc标签 + + - 状态 + - Initial：等待创建Pod，若后续状态存在Pod被删除情况将回退至此状态 + - Pending：存在Pod未调度 + - Running：存在Pod未结束 + - Finished：所有Pod成功结束 + - Failed：所有Pod结束且存在Pod失败 +- DataSet + - 状态 + - Initial：等待创建PVC + - Pending：PVC已创建但未绑定PV + - Bound：PV已绑定 + - Downloading：启动Pod下载数据集至PVC中（TODO） + - Ready：数据集准备完毕 + + +## Getting Started +You’ll need a Kubernetes cluster to run against. You can use [KIND](https://sigs.k8s.io/kind) to get a local cluster for testing, or run against a remote cluster. +**Note:** Your controller will automatically use the current context in your kubeconfig file (i.e. whatever cluster `kubectl cluster-info` shows). + +### Running on the cluster +1. Install Instances of Custom Resources: + +```sh +kubectl apply -f config/samples/ +``` + +2. Build and push your image to the location specified by `IMG`: + +```sh +make docker-build docker-push IMG=/crd-controller:tag +``` + +3. Deploy the controller to the cluster with the image specified by `IMG`: + +```sh +make deploy IMG=/crd-controller:tag +``` + +### Uninstall CRDs +To delete the CRDs from the cluster: + +```sh +make uninstall +``` + +### Undeploy controller +UnDeploy the controller from the cluster: + +```sh +make undeploy +``` + +## Contributing +// TODO(user): Add detailed information on how you would like others to contribute to this project + +### How it works +This project aims to follow the Kubernetes [Operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/). + +It uses [Controllers](https://kubernetes.io/docs/concepts/architecture/controller/), +which provide a reconcile function responsible for synchronizing resources until the desired state is reached on the cluster. + +### Test It Out +1. Install the CRDs into the cluster: + +```sh +make install +``` + +2. Run your controller (this will run in the foreground, so switch to a new terminal if you want to leave it running): + +```sh +make run +``` + +**NOTE:** You can also run this in one step by running: `make install run` + +### Modifying the API definitions +If you are editing the API definitions, generate the manifests such as CRs or CRDs using: + +```sh +make manifests +``` + +**NOTE:** Run `make --help` for more information on all potential `make` targets + +More information can be found via the [Kubebuilder Documentation](https://book.kubebuilder.io/introduction.html) + +## License + +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. + diff --git a/crd-controller/api/v1/dataset_types.go b/crd-controller/api/v1/dataset_types.go new file mode 100644 index 0000000000000000000000000000000000000000..3cb0a1167492edaf377e9401e905ce8300cb22e1 --- /dev/null +++ b/crd-controller/api/v1/dataset_types.go @@ -0,0 +1,86 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package v1 + +import ( + metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" +) + +type DataSetPhase string + +const ( + DataSetPhaseInitial = "Initial" + DataSetPhasePVCPending = "Pending" + DataSetPhasePVCBound = "Bound" + DataSetPhaseDownloading = "Downloading" + DataSetPhaseReady = "Ready" +) + +// EDIT THIS FILE! THIS IS SCAFFOLDING FOR YOU TO OWN! +// NOTE: json tags are required. Any new fields you add must have json tags for the fields to be serialized. + +// DataSetSpec defines the desired state of DataSet +type DataSetSpec struct { + // INSERT ADDITIONAL SPEC FIELDS - desired state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // bind pvc name + PVC string `json:"pvc,omitempty"` + + // donwnloadUrl + DownloadURL string `json:"download_url,omitempty"` + + // size GB + Size int `json:"size,omitempty"` +} + +// DataSetStatus defines the observed state of DataSet +type DataSetStatus struct { + // INSERT ADDITIONAL STATUS FIELD - define observed state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // phase + // +kubebuilder:validation:Enum=Initial;Pending;Bound;Downloading;Ready + Phase DataSetPhase `json:"phase,omitempty"` +} + +//+kubebuilder:object:root=true +//+kubebuilder:printcolumn:name="Phase",type="string",JSONPath=".status.phase",description="The DataSet Status Phase" +//+kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +//+kubebuilder:subresource:status + +// DataSet is the Schema for the datasets API +type DataSet struct { + metav1.TypeMeta `json:",inline"` + metav1.ObjectMeta `json:"metadata,omitempty"` + + Spec DataSetSpec `json:"spec,omitempty"` + Status DataSetStatus `json:"status,omitempty"` +} + +//+kubebuilder:object:root=true + +// DataSetList contains a list of DataSet +type DataSetList struct { + metav1.TypeMeta `json:",inline"` + metav1.ListMeta `json:"metadata,omitempty"` + Items []DataSet `json:"items"` +} + +func init() { + SchemeBuilder.Register(&DataSet{}, &DataSetList{}) +} diff --git a/crd-controller/api/v1/groupversion_info.go b/crd-controller/api/v1/groupversion_info.go new file mode 100644 index 0000000000000000000000000000000000000000..fb9c3e0472afcf0e7d72ac2ef287745faee0962f --- /dev/null +++ b/crd-controller/api/v1/groupversion_info.go @@ -0,0 +1,36 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +// Package v1 contains API Schema definitions for the kube-gpu-sparse v1 API group +// +kubebuilder:object:generate=true +// +groupName=kube-gpu-sparse.kube-gpu-sparse.io +package v1 + +import ( + "k8s.io/apimachinery/pkg/runtime/schema" + "sigs.k8s.io/controller-runtime/pkg/scheme" +) + +var ( + // GroupVersion is group version used to register these objects + GroupVersion = schema.GroupVersion{Group: "kube-gpu-sparse.kube-gpu-sparse.io", Version: "v1"} + + // SchemeBuilder is used to add go types to the GroupVersionKind scheme + SchemeBuilder = &scheme.Builder{GroupVersion: GroupVersion} + + // AddToScheme adds the types in this group-version to the given scheme. + AddToScheme = SchemeBuilder.AddToScheme +) diff --git a/crd-controller/api/v1/recommenddljob_types.go b/crd-controller/api/v1/recommenddljob_types.go new file mode 100644 index 0000000000000000000000000000000000000000..70b366ef7dc0ad7c0ebf5034a1edcfb04f2ca6c6 --- /dev/null +++ b/crd-controller/api/v1/recommenddljob_types.go @@ -0,0 +1,177 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package v1 + +import ( + v1 "k8s.io/api/core/v1" + metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" +) + +// EDIT THIS FILE! THIS IS SCAFFOLDING FOR YOU TO OWN! +// NOTE: json tags are required. Any new fields you add must have json tags for the fields to be serialized. + +type TrainingJobStatus string + +const ( + TrainingJobInitial = "Initial" + TrainingJobPending = "Pending" + TrainingJobRunning = "Running" + TrainingJobFinished = "Finished" + TrainingJobFailed = "Failed" +) + +type RunningType string + +const ( + LongRunning = "long-running" + OneShot = "one-shot" +) + +type DataRelationShipType string + +const ( + InputRelation = "input" + OutputRelation = "output" + BothWay = "bothway" +) + +type DataRelationShip struct { + // releationship type + // +kubebuilder:validation:Enum=input;output;bothway + Type DataRelationShipType `json:"type"` // input, output, bothyway + + // releationship job + JobName string `json:"job_name"` + + // relationship job namespace + JobNamespace string `json:"job_namespace"` +} + +type DataSetRef struct { + // dataset name + Name string `json:"name"` + + // datasets ref + // +kubebuilder:validation:Optional + DataSet DataSetSpec `json:"dataset"` +} + +// RecommendDLJobSpec defines the desired state of RecommendDLJob +type RecommendDLJobSpec struct { + // INSERT ADDITIONAL SPEC FIELDS - desired state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // pod replicas + // +kubebuilder:validation:Minimum=1 + Replicas int32 `json:"replicas,omitempty"` + + // running type + // +kubebuilder:validation:Enum=long-running;one-shot + RunningType RunningType `json:"running_type"` + + // dataset + DataSets []DataSetRef `json:"datasets,omitempty"` + + // relationship + RelationShips []DataRelationShip `json:"releation_ships,omitempty"` + + // pod template + Template v1.PodTemplateSpec `json:"template,omitempty"` + + // userinfo + Username string `json:"username"` + + // taskinfo macs + Macs int64 `json:"macs"` + + // taskinfo params + Params int64 `json:"params"` + + // taskinfo batch_size + BatchSize int `json:"batch_size"` + + // taskinfo embedding size total + // +kubebuilder:validation:Optional + EmbeddingSizeTotal int64 `json:"embedding_size_total"` + + // taskinfo emebdding dim total + // +kubebuilder:validation:Optional + EmbeddingDimTotal int `json:"embedding_dim_total"` + + // taskinfo embedding tables + // +kubebuilder:validation:Optional + EmbeddingTableCount int `json:"embedding_table_count"` + + // vocabulary_size + // +kubebuilder:validation:Optional + VocabularySize []int `json:"vocabulary_size"` + + // embeddig_dim + // +kubebuilder:validation:Optional + EmbeddingDim []int `json:"embedding_dim"` + + // input_tensor + // +kubebuilder:validation:Optional + InputTensor []int `json:"input_tensor"` + + // scheduler_name + // +kubebuilder:validation:Optional + SchedulerName string `json:"scheduler_name"` +} + +// RecommendDLJobStatus defines the observed state of RecommendDLJob +type RecommendDLJobStatus struct { + // INSERT ADDITIONAL STATUS FIELD - define observed state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // job uuid + UUID string `json:"uuid"` + + // status phase + // +kubebuilder:validation:Enum=Initial;Pending;Running;Finished;Failed + Phase TrainingJobStatus `json:"phase"` + + // pods names + PodNames []string `json:"pod_names"` +} + +//+kubebuilder:object:root=true +//+kubebuilder:printcolumn:name="Phase",type="string",JSONPath=".status.phase",description="The Job Status Phase" +//+kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +//+kubebuilder:subresource:status + +// RecommendDLJob is the Schema for the recommenddljobs API +type RecommendDLJob struct { + metav1.TypeMeta `json:",inline"` + metav1.ObjectMeta `json:"metadata,omitempty"` + + Spec RecommendDLJobSpec `json:"spec,omitempty"` + Status RecommendDLJobStatus `json:"status,omitempty"` +} + +//+kubebuilder:object:root=true + +// RecommendDLJobList contains a list of RecommendDLJob +type RecommendDLJobList struct { + metav1.TypeMeta `json:",inline"` + metav1.ListMeta `json:"metadata,omitempty"` + Items []RecommendDLJob `json:"items"` +} + +func init() { + SchemeBuilder.Register(&RecommendDLJob{}, &RecommendDLJobList{}) +} diff --git a/crd-controller/api/v1/zz_generated.deepcopy.go b/crd-controller/api/v1/zz_generated.deepcopy.go new file mode 100644 index 0000000000000000000000000000000000000000..cde2da766caed833d5a65b3e7d30d58d50f68804 --- /dev/null +++ b/crd-controller/api/v1/zz_generated.deepcopy.go @@ -0,0 +1,266 @@ +//go:build !ignore_autogenerated +// +build !ignore_autogenerated + +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +// Code generated by controller-gen. DO NOT EDIT. + +package v1 + +import ( + runtime "k8s.io/apimachinery/pkg/runtime" +) + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataRelationShip) DeepCopyInto(out *DataRelationShip) { + *out = *in +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataRelationShip. +func (in *DataRelationShip) DeepCopy() *DataRelationShip { + if in == nil { + return nil + } + out := new(DataRelationShip) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSet) DeepCopyInto(out *DataSet) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ObjectMeta.DeepCopyInto(&out.ObjectMeta) + out.Spec = in.Spec + out.Status = in.Status +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSet. +func (in *DataSet) DeepCopy() *DataSet { + if in == nil { + return nil + } + out := new(DataSet) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *DataSet) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetList) DeepCopyInto(out *DataSetList) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ListMeta.DeepCopyInto(&out.ListMeta) + if in.Items != nil { + in, out := &in.Items, &out.Items + *out = make([]DataSet, len(*in)) + for i := range *in { + (*in)[i].DeepCopyInto(&(*out)[i]) + } + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetList. +func (in *DataSetList) DeepCopy() *DataSetList { + if in == nil { + return nil + } + out := new(DataSetList) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *DataSetList) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetRef) DeepCopyInto(out *DataSetRef) { + *out = *in + out.DataSet = in.DataSet +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetRef. +func (in *DataSetRef) DeepCopy() *DataSetRef { + if in == nil { + return nil + } + out := new(DataSetRef) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetSpec) DeepCopyInto(out *DataSetSpec) { + *out = *in +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetSpec. +func (in *DataSetSpec) DeepCopy() *DataSetSpec { + if in == nil { + return nil + } + out := new(DataSetSpec) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetStatus) DeepCopyInto(out *DataSetStatus) { + *out = *in +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetStatus. +func (in *DataSetStatus) DeepCopy() *DataSetStatus { + if in == nil { + return nil + } + out := new(DataSetStatus) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJob) DeepCopyInto(out *RecommendDLJob) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ObjectMeta.DeepCopyInto(&out.ObjectMeta) + in.Spec.DeepCopyInto(&out.Spec) + in.Status.DeepCopyInto(&out.Status) +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJob. +func (in *RecommendDLJob) DeepCopy() *RecommendDLJob { + if in == nil { + return nil + } + out := new(RecommendDLJob) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *RecommendDLJob) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJobList) DeepCopyInto(out *RecommendDLJobList) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ListMeta.DeepCopyInto(&out.ListMeta) + if in.Items != nil { + in, out := &in.Items, &out.Items + *out = make([]RecommendDLJob, len(*in)) + for i := range *in { + (*in)[i].DeepCopyInto(&(*out)[i]) + } + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJobList. +func (in *RecommendDLJobList) DeepCopy() *RecommendDLJobList { + if in == nil { + return nil + } + out := new(RecommendDLJobList) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *RecommendDLJobList) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJobSpec) DeepCopyInto(out *RecommendDLJobSpec) { + *out = *in + if in.DataSets != nil { + in, out := &in.DataSets, &out.DataSets + *out = make([]DataSetRef, len(*in)) + copy(*out, *in) + } + if in.RelationShips != nil { + in, out := &in.RelationShips, &out.RelationShips + *out = make([]DataRelationShip, len(*in)) + copy(*out, *in) + } + in.Template.DeepCopyInto(&out.Template) + if in.VocabularySize != nil { + in, out := &in.VocabularySize, &out.VocabularySize + *out = make([]int, len(*in)) + copy(*out, *in) + } + if in.EmbeddingDim != nil { + in, out := &in.EmbeddingDim, &out.EmbeddingDim + *out = make([]int, len(*in)) + copy(*out, *in) + } + if in.InputTensor != nil { + in, out := &in.InputTensor, &out.InputTensor + *out = make([]int, len(*in)) + copy(*out, *in) + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJobSpec. +func (in *RecommendDLJobSpec) DeepCopy() *RecommendDLJobSpec { + if in == nil { + return nil + } + out := new(RecommendDLJobSpec) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJobStatus) DeepCopyInto(out *RecommendDLJobStatus) { + *out = *in + if in.PodNames != nil { + in, out := &in.PodNames, &out.PodNames + *out = make([]string, len(*in)) + copy(*out, *in) + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJobStatus. +func (in *RecommendDLJobStatus) DeepCopy() *RecommendDLJobStatus { + if in == nil { + return nil + } + out := new(RecommendDLJobStatus) + in.DeepCopyInto(out) + return out +} diff --git a/crd-controller/cmd/main.go b/crd-controller/cmd/main.go new file mode 100644 index 0000000000000000000000000000000000000000..606e04247dc99d0e22554d8b9d9611efe08ae7c3 --- /dev/null +++ b/crd-controller/cmd/main.go @@ -0,0 +1,122 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package main + +import ( + "flag" + "os" + + // Import all Kubernetes client auth plugins (e.g. Azure, GCP, OIDC, etc.) + // to ensure that exec-entrypoint and run can make use of them. + _ "k8s.io/client-go/plugin/pkg/client/auth" + + "k8s.io/apimachinery/pkg/runtime" + utilruntime "k8s.io/apimachinery/pkg/util/runtime" + clientgoscheme "k8s.io/client-go/kubernetes/scheme" + ctrl "sigs.k8s.io/controller-runtime" + "sigs.k8s.io/controller-runtime/pkg/healthz" + "sigs.k8s.io/controller-runtime/pkg/log/zap" + + kubegpusparsev1 "kube-gpu/scheduler/crd-controller/v2/api/v1" + "kube-gpu/scheduler/crd-controller/v2/internal/controller" + //+kubebuilder:scaffold:imports +) + +var ( + scheme = runtime.NewScheme() + setupLog = ctrl.Log.WithName("setup") +) + +func init() { + utilruntime.Must(clientgoscheme.AddToScheme(scheme)) + + utilruntime.Must(kubegpusparsev1.AddToScheme(scheme)) + //+kubebuilder:scaffold:scheme +} + +func main() { + var metricsAddr string + var enableLeaderElection bool + var probeAddr string + flag.StringVar(&metricsAddr, "metrics-bind-address", ":8080", "The address the metric endpoint binds to.") + flag.StringVar(&probeAddr, "health-probe-bind-address", ":8081", "The address the probe endpoint binds to.") + flag.BoolVar(&enableLeaderElection, "leader-elect", false, + "Enable leader election for controller manager. "+ + "Enabling this will ensure there is only one active controller manager.") + opts := zap.Options{ + Development: true, + } + opts.BindFlags(flag.CommandLine) + flag.Parse() + + ctrl.SetLogger(zap.New(zap.UseFlagOptions(&opts))) + + mgr, err := ctrl.NewManager(ctrl.GetConfigOrDie(), ctrl.Options{ + Scheme: scheme, + MetricsBindAddress: metricsAddr, + Port: 9443, + HealthProbeBindAddress: probeAddr, + LeaderElection: enableLeaderElection, + LeaderElectionID: "6f5aa815.kube-gpu-sparse.io", + // LeaderElectionReleaseOnCancel defines if the leader should step down voluntarily + // when the Manager ends. This requires the binary to immediately end when the + // Manager is stopped, otherwise, this setting is unsafe. Setting this significantly + // speeds up voluntary leader transitions as the new leader don't have to wait + // LeaseDuration time first. + // + // In the default scaffold provided, the program ends immediately after + // the manager stops, so would be fine to enable this option. However, + // if you are doing or is intended to do any operation such as perform cleanups + // after the manager stops then its usage might be unsafe. + // LeaderElectionReleaseOnCancel: true, + }) + if err != nil { + setupLog.Error(err, "unable to start manager") + os.Exit(1) + } + + if err = (&controller.RecommendDLJobReconciler{ + Client: mgr.GetClient(), + Scheme: mgr.GetScheme(), + }).SetupWithManager(mgr); err != nil { + setupLog.Error(err, "unable to create controller", "controller", "RecommendDLJob") + os.Exit(1) + } + if err = (&controller.DataSetReconciler{ + Client: mgr.GetClient(), + Scheme: mgr.GetScheme(), + }).SetupWithManager(mgr); err != nil { + setupLog.Error(err, "unable to create controller", "controller", "DataSet") + os.Exit(1) + } + //+kubebuilder:scaffold:builder + + if err := mgr.AddHealthzCheck("healthz", healthz.Ping); err != nil { + setupLog.Error(err, "unable to set up health check") + os.Exit(1) + } + if err := mgr.AddReadyzCheck("readyz", healthz.Ping); err != nil { + setupLog.Error(err, "unable to set up ready check") + os.Exit(1) + } + + setupLog.Info("starting manager") + if err := mgr.Start(ctrl.SetupSignalHandler()); err != nil { + setupLog.Error(err, "problem running manager") + os.Exit(1) + } +} diff --git a/crd-controller/config/crd/bases/kube-gpu-sparse.kube-gpu-sparse.io_datasets.yaml b/crd-controller/config/crd/bases/kube-gpu-sparse.kube-gpu-sparse.io_datasets.yaml new file mode 100644 index 0000000000000000000000000000000000000000..40ebe883ad23f04b8670685ad70d0f7ddd9072a8 --- /dev/null +++ b/crd-controller/config/crd/bases/kube-gpu-sparse.kube-gpu-sparse.io_datasets.yaml @@ -0,0 +1,72 @@ +--- +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + annotations: + controller-gen.kubebuilder.io/version: v0.12.0 + name: datasets.kube-gpu-sparse.kube-gpu-sparse.io +spec: + group: kube-gpu-sparse.kube-gpu-sparse.io + names: + kind: DataSet + listKind: DataSetList + plural: datasets + singular: dataset + scope: Namespaced + versions: + - additionalPrinterColumns: + - description: The DataSet Status Phase + jsonPath: .status.phase + name: Phase + type: string + - jsonPath: .metadata.creationTimestamp + name: Age + type: date + name: v1 + schema: + openAPIV3Schema: + description: DataSet is the Schema for the datasets API + properties: + apiVersion: + description: 'APIVersion defines the versioned schema of this representation + of an object. Servers should convert recognized schemas to the latest + internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources' + type: string + kind: + description: 'Kind is a string value representing the REST resource this + object represents. Servers may infer this from the endpoint the client + submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds' + type: string + metadata: + type: object + spec: + description: DataSetSpec defines the desired state of DataSet + properties: + download_url: + description: donwnloadUrl + type: string + pvc: + description: bind pvc name + type: string + size: + description: size GB + type: integer + type: object + status: + description: DataSetStatus defines the observed state of DataSet + properties: + phase: + description: phase + enum: + - Initial + - Pending + - Bound + - Downloading + - Ready + type: string + type: object + type: object + served: true + storage: true + subresources: + status: {} diff --git a/crd-controller/config/crd/bases/kube-gpu-sparse.kube-gpu-sparse.io_recommenddljobs.yaml b/crd-controller/config/crd/bases/kube-gpu-sparse.kube-gpu-sparse.io_recommenddljobs.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9907753e84269aeddf89357197fa890b81bb44c9 --- /dev/null +++ b/crd-controller/config/crd/bases/kube-gpu-sparse.kube-gpu-sparse.io_recommenddljobs.yaml @@ -0,0 +1,7674 @@ +--- +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + annotations: + controller-gen.kubebuilder.io/version: v0.12.0 + name: recommenddljobs.kube-gpu-sparse.kube-gpu-sparse.io +spec: + group: kube-gpu-sparse.kube-gpu-sparse.io + names: + kind: RecommendDLJob + listKind: RecommendDLJobList + plural: recommenddljobs + singular: recommenddljob + scope: Namespaced + versions: + - additionalPrinterColumns: + - description: The Job Status Phase + jsonPath: .status.phase + name: Phase + type: string + - jsonPath: .metadata.creationTimestamp + name: Age + type: date + name: v1 + schema: + openAPIV3Schema: + description: RecommendDLJob is the Schema for the recommenddljobs API + properties: + apiVersion: + description: 'APIVersion defines the versioned schema of this representation + of an object. Servers should convert recognized schemas to the latest + internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources' + type: string + kind: + description: 'Kind is a string value representing the REST resource this + object represents. Servers may infer this from the endpoint the client + submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds' + type: string + metadata: + type: object + spec: + description: RecommendDLJobSpec defines the desired state of RecommendDLJob + properties: + batch_size: + description: taskinfo batch_size + type: integer + datasets: + description: dataset + items: + properties: + dataset: + description: datasets ref + properties: + download_url: + description: donwnloadUrl + type: string + pvc: + description: bind pvc name + type: string + size: + description: size GB + type: integer + type: object + name: + description: dataset name + type: string + required: + - name + type: object + type: array + embedding_dim: + description: embeddig_dim + items: + type: integer + type: array + embedding_dim_total: + description: taskinfo emebdding dim total + type: integer + embedding_size_total: + description: taskinfo embedding size total + format: int64 + type: integer + embedding_table_count: + description: taskinfo embedding tables + type: integer + input_tensor: + description: input_tensor + items: + type: integer + type: array + macs: + description: taskinfo macs + format: int64 + type: integer + params: + description: taskinfo params + format: int64 + type: integer + releation_ships: + description: relationship + items: + properties: + job_name: + description: releationship job + type: string + job_namespace: + description: relationship job namespace + type: string + type: + description: releationship type + enum: + - input + - output + - bothway + type: string + required: + - job_name + - job_namespace + - type + type: object + type: array + replicas: + description: pod replicas + format: int32 + minimum: 1 + type: integer + running_type: + description: running type + enum: + - long-running + - one-shot + type: string + scheduler_name: + description: scheduler_name + type: string + template: + description: pod template + properties: + metadata: + description: 'Standard object''s metadata. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata' + type: object + spec: + description: 'Specification of the desired behavior of the pod. + More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status' + properties: + activeDeadlineSeconds: + description: Optional duration in seconds the pod may be active + on the node relative to StartTime before the system will + actively try to mark it failed and kill associated containers. + Value must be a positive integer. + format: int64 + type: integer + affinity: + description: If specified, the pod's scheduling constraints + properties: + nodeAffinity: + description: Describes node affinity scheduling rules + for the pod. + properties: + preferredDuringSchedulingIgnoredDuringExecution: + description: The scheduler will prefer to schedule + pods to nodes that satisfy the affinity expressions + specified by this field, but it may choose a node + that violates one or more of the expressions. The + node that is most preferred is the one with the + greatest sum of weights, i.e. for each node that + meets all of the scheduling requirements (resource + request, requiredDuringScheduling affinity expressions, + etc.), compute a sum by iterating through the elements + of this field and adding "weight" to the sum if + the node matches the corresponding matchExpressions; + the node(s) with the highest sum are the most preferred. + items: + description: An empty preferred scheduling term + matches all objects with implicit weight 0 (i.e. + it's a no-op). A null preferred scheduling term + matches no objects (i.e. is also a no-op). + properties: + preference: + description: A node selector term, associated + with the corresponding weight. + properties: + matchExpressions: + description: A list of node selector requirements + by node's labels. + items: + description: A node selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: The label key that the + selector applies to. + type: string + operator: + description: Represents a key's relationship + to a set of values. Valid operators + are In, NotIn, Exists, DoesNotExist. + Gt, and Lt. + type: string + values: + description: An array of string values. + If the operator is In or NotIn, + the values array must be non-empty. + If the operator is Exists or DoesNotExist, + the values array must be empty. + If the operator is Gt or Lt, the + values array must have a single + element, which will be interpreted + as an integer. This array is replaced + during a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchFields: + description: A list of node selector requirements + by node's fields. + items: + description: A node selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: The label key that the + selector applies to. + type: string + operator: + description: Represents a key's relationship + to a set of values. Valid operators + are In, NotIn, Exists, DoesNotExist. + Gt, and Lt. + type: string + values: + description: An array of string values. + If the operator is In or NotIn, + the values array must be non-empty. + If the operator is Exists or DoesNotExist, + the values array must be empty. + If the operator is Gt or Lt, the + values array must have a single + element, which will be interpreted + as an integer. This array is replaced + during a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + type: object + x-kubernetes-map-type: atomic + weight: + description: Weight associated with matching + the corresponding nodeSelectorTerm, in the + range 1-100. + format: int32 + type: integer + required: + - preference + - weight + type: object + type: array + requiredDuringSchedulingIgnoredDuringExecution: + description: If the affinity requirements specified + by this field are not met at scheduling time, the + pod will not be scheduled onto the node. If the + affinity requirements specified by this field cease + to be met at some point during pod execution (e.g. + due to an update), the system may or may not try + to eventually evict the pod from its node. + properties: + nodeSelectorTerms: + description: Required. A list of node selector + terms. The terms are ORed. + items: + description: A null or empty node selector term + matches no objects. The requirements of them + are ANDed. The TopologySelectorTerm type implements + a subset of the NodeSelectorTerm. + properties: + matchExpressions: + description: A list of node selector requirements + by node's labels. + items: + description: A node selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: The label key that the + selector applies to. + type: string + operator: + description: Represents a key's relationship + to a set of values. Valid operators + are In, NotIn, Exists, DoesNotExist. + Gt, and Lt. + type: string + values: + description: An array of string values. + If the operator is In or NotIn, + the values array must be non-empty. + If the operator is Exists or DoesNotExist, + the values array must be empty. + If the operator is Gt or Lt, the + values array must have a single + element, which will be interpreted + as an integer. This array is replaced + during a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchFields: + description: A list of node selector requirements + by node's fields. + items: + description: A node selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: The label key that the + selector applies to. + type: string + operator: + description: Represents a key's relationship + to a set of values. Valid operators + are In, NotIn, Exists, DoesNotExist. + Gt, and Lt. + type: string + values: + description: An array of string values. + If the operator is In or NotIn, + the values array must be non-empty. + If the operator is Exists or DoesNotExist, + the values array must be empty. + If the operator is Gt or Lt, the + values array must have a single + element, which will be interpreted + as an integer. This array is replaced + during a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + type: object + x-kubernetes-map-type: atomic + type: array + required: + - nodeSelectorTerms + type: object + x-kubernetes-map-type: atomic + type: object + podAffinity: + description: Describes pod affinity scheduling rules (e.g. + co-locate this pod in the same node, zone, etc. as some + other pod(s)). + properties: + preferredDuringSchedulingIgnoredDuringExecution: + description: The scheduler will prefer to schedule + pods to nodes that satisfy the affinity expressions + specified by this field, but it may choose a node + that violates one or more of the expressions. The + node that is most preferred is the one with the + greatest sum of weights, i.e. for each node that + meets all of the scheduling requirements (resource + request, requiredDuringScheduling affinity expressions, + etc.), compute a sum by iterating through the elements + of this field and adding "weight" to the sum if + the node has pods which matches the corresponding + podAffinityTerm; the node(s) with the highest sum + are the most preferred. + items: + description: The weights of all of the matched WeightedPodAffinityTerm + fields are added per-node to find the most preferred + node(s) + properties: + podAffinityTerm: + description: Required. A pod affinity term, + associated with the corresponding weight. + properties: + labelSelector: + description: A label query over a set of + resources, in this case pods. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The + requirements are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label + key that the selector applies + to. + type: string + operator: + description: operator represents + a key's relationship to a set + of values. Valid operators are + In, NotIn, Exists and DoesNotExist. + type: string + values: + description: values is an array + of string values. If the operator + is In or NotIn, the values array + must be non-empty. If the operator + is Exists or DoesNotExist, the + values array must be empty. + This array is replaced during + a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of + {key,value} pairs. A single {key,value} + in the matchLabels map is equivalent + to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are + ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaceSelector: + description: A label query over the set + of namespaces that the term applies to. + The term is applied to the union of the + namespaces selected by this field and + the ones listed in the namespaces field. + null selector and null or empty namespaces + list means "this pod's namespace". An + empty selector ({}) matches all namespaces. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The + requirements are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label + key that the selector applies + to. + type: string + operator: + description: operator represents + a key's relationship to a set + of values. Valid operators are + In, NotIn, Exists and DoesNotExist. + type: string + values: + description: values is an array + of string values. If the operator + is In or NotIn, the values array + must be non-empty. If the operator + is Exists or DoesNotExist, the + values array must be empty. + This array is replaced during + a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of + {key,value} pairs. A single {key,value} + in the matchLabels map is equivalent + to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are + ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaces: + description: namespaces specifies a static + list of namespace names that the term + applies to. The term is applied to the + union of the namespaces listed in this + field and the ones selected by namespaceSelector. + null or empty namespaces list and null + namespaceSelector means "this pod's namespace". + items: + type: string + type: array + topologyKey: + description: This pod should be co-located + (affinity) or not co-located (anti-affinity) + with the pods matching the labelSelector + in the specified namespaces, where co-located + is defined as running on a node whose + value of the label with key topologyKey + matches that of any node on which any + of the selected pods is running. Empty + topologyKey is not allowed. + type: string + required: + - topologyKey + type: object + weight: + description: weight associated with matching + the corresponding podAffinityTerm, in the + range 1-100. + format: int32 + type: integer + required: + - podAffinityTerm + - weight + type: object + type: array + requiredDuringSchedulingIgnoredDuringExecution: + description: If the affinity requirements specified + by this field are not met at scheduling time, the + pod will not be scheduled onto the node. If the + affinity requirements specified by this field cease + to be met at some point during pod execution (e.g. + due to a pod label update), the system may or may + not try to eventually evict the pod from its node. + When there are multiple elements, the lists of nodes + corresponding to each podAffinityTerm are intersected, + i.e. all terms must be satisfied. + items: + description: Defines a set of pods (namely those + matching the labelSelector relative to the given + namespace(s)) that this pod should be co-located + (affinity) or not co-located (anti-affinity) with, + where co-located is defined as running on a node + whose value of the label with key + matches that of any node on which a pod of the + set of pods is running + properties: + labelSelector: + description: A label query over a set of resources, + in this case pods. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The requirements + are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label key + that the selector applies to. + type: string + operator: + description: operator represents a + key's relationship to a set of values. + Valid operators are In, NotIn, Exists + and DoesNotExist. + type: string + values: + description: values is an array of + string values. If the operator is + In or NotIn, the values array must + be non-empty. If the operator is + Exists or DoesNotExist, the values + array must be empty. This array + is replaced during a strategic merge + patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of {key,value} + pairs. A single {key,value} in the matchLabels + map is equivalent to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaceSelector: + description: A label query over the set of namespaces + that the term applies to. The term is applied + to the union of the namespaces selected by + this field and the ones listed in the namespaces + field. null selector and null or empty namespaces + list means "this pod's namespace". An empty + selector ({}) matches all namespaces. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The requirements + are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label key + that the selector applies to. + type: string + operator: + description: operator represents a + key's relationship to a set of values. + Valid operators are In, NotIn, Exists + and DoesNotExist. + type: string + values: + description: values is an array of + string values. If the operator is + In or NotIn, the values array must + be non-empty. If the operator is + Exists or DoesNotExist, the values + array must be empty. This array + is replaced during a strategic merge + patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of {key,value} + pairs. A single {key,value} in the matchLabels + map is equivalent to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaces: + description: namespaces specifies a static list + of namespace names that the term applies to. + The term is applied to the union of the namespaces + listed in this field and the ones selected + by namespaceSelector. null or empty namespaces + list and null namespaceSelector means "this + pod's namespace". + items: + type: string + type: array + topologyKey: + description: This pod should be co-located (affinity) + or not co-located (anti-affinity) with the + pods matching the labelSelector in the specified + namespaces, where co-located is defined as + running on a node whose value of the label + with key topologyKey matches that of any node + on which any of the selected pods is running. + Empty topologyKey is not allowed. + type: string + required: + - topologyKey + type: object + type: array + type: object + podAntiAffinity: + description: Describes pod anti-affinity scheduling rules + (e.g. avoid putting this pod in the same node, zone, + etc. as some other pod(s)). + properties: + preferredDuringSchedulingIgnoredDuringExecution: + description: The scheduler will prefer to schedule + pods to nodes that satisfy the anti-affinity expressions + specified by this field, but it may choose a node + that violates one or more of the expressions. The + node that is most preferred is the one with the + greatest sum of weights, i.e. for each node that + meets all of the scheduling requirements (resource + request, requiredDuringScheduling anti-affinity + expressions, etc.), compute a sum by iterating through + the elements of this field and adding "weight" to + the sum if the node has pods which matches the corresponding + podAffinityTerm; the node(s) with the highest sum + are the most preferred. + items: + description: The weights of all of the matched WeightedPodAffinityTerm + fields are added per-node to find the most preferred + node(s) + properties: + podAffinityTerm: + description: Required. A pod affinity term, + associated with the corresponding weight. + properties: + labelSelector: + description: A label query over a set of + resources, in this case pods. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The + requirements are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label + key that the selector applies + to. + type: string + operator: + description: operator represents + a key's relationship to a set + of values. Valid operators are + In, NotIn, Exists and DoesNotExist. + type: string + values: + description: values is an array + of string values. If the operator + is In or NotIn, the values array + must be non-empty. If the operator + is Exists or DoesNotExist, the + values array must be empty. + This array is replaced during + a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of + {key,value} pairs. A single {key,value} + in the matchLabels map is equivalent + to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are + ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaceSelector: + description: A label query over the set + of namespaces that the term applies to. + The term is applied to the union of the + namespaces selected by this field and + the ones listed in the namespaces field. + null selector and null or empty namespaces + list means "this pod's namespace". An + empty selector ({}) matches all namespaces. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The + requirements are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label + key that the selector applies + to. + type: string + operator: + description: operator represents + a key's relationship to a set + of values. Valid operators are + In, NotIn, Exists and DoesNotExist. + type: string + values: + description: values is an array + of string values. If the operator + is In or NotIn, the values array + must be non-empty. If the operator + is Exists or DoesNotExist, the + values array must be empty. + This array is replaced during + a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of + {key,value} pairs. A single {key,value} + in the matchLabels map is equivalent + to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are + ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaces: + description: namespaces specifies a static + list of namespace names that the term + applies to. The term is applied to the + union of the namespaces listed in this + field and the ones selected by namespaceSelector. + null or empty namespaces list and null + namespaceSelector means "this pod's namespace". + items: + type: string + type: array + topologyKey: + description: This pod should be co-located + (affinity) or not co-located (anti-affinity) + with the pods matching the labelSelector + in the specified namespaces, where co-located + is defined as running on a node whose + value of the label with key topologyKey + matches that of any node on which any + of the selected pods is running. Empty + topologyKey is not allowed. + type: string + required: + - topologyKey + type: object + weight: + description: weight associated with matching + the corresponding podAffinityTerm, in the + range 1-100. + format: int32 + type: integer + required: + - podAffinityTerm + - weight + type: object + type: array + requiredDuringSchedulingIgnoredDuringExecution: + description: If the anti-affinity requirements specified + by this field are not met at scheduling time, the + pod will not be scheduled onto the node. If the + anti-affinity requirements specified by this field + cease to be met at some point during pod execution + (e.g. due to a pod label update), the system may + or may not try to eventually evict the pod from + its node. When there are multiple elements, the + lists of nodes corresponding to each podAffinityTerm + are intersected, i.e. all terms must be satisfied. + items: + description: Defines a set of pods (namely those + matching the labelSelector relative to the given + namespace(s)) that this pod should be co-located + (affinity) or not co-located (anti-affinity) with, + where co-located is defined as running on a node + whose value of the label with key + matches that of any node on which a pod of the + set of pods is running + properties: + labelSelector: + description: A label query over a set of resources, + in this case pods. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The requirements + are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label key + that the selector applies to. + type: string + operator: + description: operator represents a + key's relationship to a set of values. + Valid operators are In, NotIn, Exists + and DoesNotExist. + type: string + values: + description: values is an array of + string values. If the operator is + In or NotIn, the values array must + be non-empty. If the operator is + Exists or DoesNotExist, the values + array must be empty. This array + is replaced during a strategic merge + patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of {key,value} + pairs. A single {key,value} in the matchLabels + map is equivalent to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaceSelector: + description: A label query over the set of namespaces + that the term applies to. The term is applied + to the union of the namespaces selected by + this field and the ones listed in the namespaces + field. null selector and null or empty namespaces + list means "this pod's namespace". An empty + selector ({}) matches all namespaces. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The requirements + are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label key + that the selector applies to. + type: string + operator: + description: operator represents a + key's relationship to a set of values. + Valid operators are In, NotIn, Exists + and DoesNotExist. + type: string + values: + description: values is an array of + string values. If the operator is + In or NotIn, the values array must + be non-empty. If the operator is + Exists or DoesNotExist, the values + array must be empty. This array + is replaced during a strategic merge + patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of {key,value} + pairs. A single {key,value} in the matchLabels + map is equivalent to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + namespaces: + description: namespaces specifies a static list + of namespace names that the term applies to. + The term is applied to the union of the namespaces + listed in this field and the ones selected + by namespaceSelector. null or empty namespaces + list and null namespaceSelector means "this + pod's namespace". + items: + type: string + type: array + topologyKey: + description: This pod should be co-located (affinity) + or not co-located (anti-affinity) with the + pods matching the labelSelector in the specified + namespaces, where co-located is defined as + running on a node whose value of the label + with key topologyKey matches that of any node + on which any of the selected pods is running. + Empty topologyKey is not allowed. + type: string + required: + - topologyKey + type: object + type: array + type: object + type: object + automountServiceAccountToken: + description: AutomountServiceAccountToken indicates whether + a service account token should be automatically mounted. + type: boolean + containers: + description: List of containers belonging to the pod. Containers + cannot currently be added or removed. There must be at least + one container in a Pod. Cannot be updated. + items: + description: A single application container that you want + to run within a pod. + properties: + args: + description: 'Arguments to the entrypoint. The container + image''s CMD is used if this is not provided. Variable + references $(VAR_NAME) are expanded using the container''s + environment. If a variable cannot be resolved, the + reference in the input string will be unchanged. Double + $$ are reduced to a single $, which allows for escaping + the $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" will produce + the string literal "$(VAR_NAME)". Escaped references + will never be expanded, regardless of whether the + variable exists or not. Cannot be updated. More info: + https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell' + items: + type: string + type: array + command: + description: 'Entrypoint array. Not executed within + a shell. The container image''s ENTRYPOINT is used + if this is not provided. Variable references $(VAR_NAME) + are expanded using the container''s environment. If + a variable cannot be resolved, the reference in the + input string will be unchanged. Double $$ are reduced + to a single $, which allows for escaping the $(VAR_NAME) + syntax: i.e. "$$(VAR_NAME)" will produce the string + literal "$(VAR_NAME)". Escaped references will never + be expanded, regardless of whether the variable exists + or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell' + items: + type: string + type: array + env: + description: List of environment variables to set in + the container. Cannot be updated. + items: + description: EnvVar represents an environment variable + present in a Container. + properties: + name: + description: Name of the environment variable. + Must be a C_IDENTIFIER. + type: string + value: + description: 'Variable references $(VAR_NAME) + are expanded using the previously defined environment + variables in the container and any service environment + variables. If a variable cannot be resolved, + the reference in the input string will be unchanged. + Double $$ are reduced to a single $, which allows + for escaping the $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" + will produce the string literal "$(VAR_NAME)". + Escaped references will never be expanded, regardless + of whether the variable exists or not. Defaults + to "".' + type: string + valueFrom: + description: Source for the environment variable's + value. Cannot be used if value is not empty. + properties: + configMapKeyRef: + description: Selects a key of a ConfigMap. + properties: + key: + description: The key to select. + type: string + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the ConfigMap + or its key must be defined + type: boolean + required: + - key + type: object + x-kubernetes-map-type: atomic + fieldRef: + description: 'Selects a field of the pod: + supports metadata.name, metadata.namespace, + `metadata.labels['''']`, `metadata.annotations['''']`, + spec.nodeName, spec.serviceAccountName, + status.hostIP, status.podIP, status.podIPs.' + properties: + apiVersion: + description: Version of the schema the + FieldPath is written in terms of, defaults + to "v1". + type: string + fieldPath: + description: Path of the field to select + in the specified API version. + type: string + required: + - fieldPath + type: object + x-kubernetes-map-type: atomic + resourceFieldRef: + description: 'Selects a resource of the container: + only resources limits and requests (limits.cpu, + limits.memory, limits.ephemeral-storage, + requests.cpu, requests.memory and requests.ephemeral-storage) + are currently supported.' + properties: + containerName: + description: 'Container name: required + for volumes, optional for env vars' + type: string + divisor: + anyOf: + - type: integer + - type: string + description: Specifies the output format + of the exposed resources, defaults to + "1" + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + resource: + description: 'Required: resource to select' + type: string + required: + - resource + type: object + x-kubernetes-map-type: atomic + secretKeyRef: + description: Selects a key of a secret in + the pod's namespace + properties: + key: + description: The key of the secret to + select from. Must be a valid secret + key. + type: string + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the Secret + or its key must be defined + type: boolean + required: + - key + type: object + x-kubernetes-map-type: atomic + type: object + required: + - name + type: object + type: array + envFrom: + description: List of sources to populate environment + variables in the container. The keys defined within + a source must be a C_IDENTIFIER. All invalid keys + will be reported as an event when the container is + starting. When a key exists in multiple sources, the + value associated with the last source will take precedence. + Values defined by an Env with a duplicate key will + take precedence. Cannot be updated. + items: + description: EnvFromSource represents the source of + a set of ConfigMaps + properties: + configMapRef: + description: The ConfigMap to select from + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the ConfigMap + must be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + prefix: + description: An optional identifier to prepend + to each key in the ConfigMap. Must be a C_IDENTIFIER. + type: string + secretRef: + description: The Secret to select from + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the Secret must + be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + type: object + type: array + image: + description: 'Container image name. More info: https://kubernetes.io/docs/concepts/containers/images + This field is optional to allow higher level config + management to default or override container images + in workload controllers like Deployments and StatefulSets.' + type: string + imagePullPolicy: + description: 'Image pull policy. One of Always, Never, + IfNotPresent. Defaults to Always if :latest tag is + specified, or IfNotPresent otherwise. Cannot be updated. + More info: https://kubernetes.io/docs/concepts/containers/images#updating-images' + type: string + lifecycle: + description: Actions that the management system should + take in response to container lifecycle events. Cannot + be updated. + properties: + postStart: + description: 'PostStart is called immediately after + a container is created. If the handler fails, + the container is terminated and restarted according + to its restart policy. Other management of the + container blocks until the hook completes. More + info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line + to execute inside the container, the working + directory for the command is root ('/') + in the container's filesystem. The command + is simply exec'd, it is not run inside + a shell, so traditional shell instructions + ('|', etc) won't work. To use a shell, + you need to explicitly call out to that + shell. Exit status of 0 is treated as + live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set + "Host" in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the + request. HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. + This will be canonicalized upon + output, so case-variant names will + be understood as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP + server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting + to the host. Defaults to HTTP. + type: string + required: + - port + type: object + tcpSocket: + description: Deprecated. TCPSocket is NOT supported + as a LifecycleHandler and kept for the backward + compatibility. There are no validation of + this field and lifecycle hooks will fail in + runtime when tcp handler is specified. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + type: object + preStop: + description: 'PreStop is called immediately before + a container is terminated due to an API request + or management event such as liveness/startup probe + failure, preemption, resource contention, etc. + The handler is not called if the container crashes + or exits. The Pod''s termination grace period + countdown begins before the PreStop hook is executed. + Regardless of the outcome of the handler, the + container will eventually terminate within the + Pod''s termination grace period (unless delayed + by finalizers). Other management of the container + blocks until the hook completes or until the termination + grace period is reached. More info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line + to execute inside the container, the working + directory for the command is root ('/') + in the container's filesystem. The command + is simply exec'd, it is not run inside + a shell, so traditional shell instructions + ('|', etc) won't work. To use a shell, + you need to explicitly call out to that + shell. Exit status of 0 is treated as + live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set + "Host" in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the + request. HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. + This will be canonicalized upon + output, so case-variant names will + be understood as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP + server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting + to the host. Defaults to HTTP. + type: string + required: + - port + type: object + tcpSocket: + description: Deprecated. TCPSocket is NOT supported + as a LifecycleHandler and kept for the backward + compatibility. There are no validation of + this field and lifecycle hooks will fail in + runtime when tcp handler is specified. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + type: object + type: object + livenessProbe: + description: 'Periodic probe of container liveness. + Container will be restarted if the probe fails. Cannot + be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + name: + description: Name of the container specified as a DNS_LABEL. + Each container in a pod must have a unique name (DNS_LABEL). + Cannot be updated. + type: string + ports: + description: List of ports to expose from the container. + Not specifying a port here DOES NOT prevent that port + from being exposed. Any port which is listening on + the default "0.0.0.0" address inside a container will + be accessible from the network. Modifying this array + with strategic merge patch may corrupt the data. For + more information See https://github.com/kubernetes/kubernetes/issues/108255. + Cannot be updated. + items: + description: ContainerPort represents a network port + in a single container. + properties: + containerPort: + description: Number of port to expose on the pod's + IP address. This must be a valid port number, + 0 < x < 65536. + format: int32 + type: integer + hostIP: + description: What host IP to bind the external + port to. + type: string + hostPort: + description: Number of port to expose on the host. + If specified, this must be a valid port number, + 0 < x < 65536. If HostNetwork is specified, + this must match ContainerPort. Most containers + do not need this. + format: int32 + type: integer + name: + description: If specified, this must be an IANA_SVC_NAME + and unique within the pod. Each named port in + a pod must have a unique name. Name for the + port that can be referred to by services. + type: string + protocol: + default: TCP + description: Protocol for port. Must be UDP, TCP, + or SCTP. Defaults to "TCP". + type: string + required: + - containerPort + type: object + type: array + x-kubernetes-list-map-keys: + - containerPort + - protocol + x-kubernetes-list-type: map + readinessProbe: + description: 'Periodic probe of container service readiness. + Container will be removed from service endpoints if + the probe fails. Cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + resizePolicy: + description: Resources resize policy for the container. + items: + description: ContainerResizePolicy represents resource + resize policy for the container. + properties: + resourceName: + description: 'Name of the resource to which this + resource resize policy applies. Supported values: + cpu, memory.' + type: string + restartPolicy: + description: Restart policy to apply when specified + resource is resized. If not specified, it defaults + to NotRequired. + type: string + required: + - resourceName + - restartPolicy + type: object + type: array + x-kubernetes-list-type: atomic + resources: + description: 'Compute Resources required by this container. + Cannot be updated. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + properties: + claims: + description: "Claims lists the names of resources, + defined in spec.resourceClaims, that are used + by this container. \n This is an alpha field and + requires enabling the DynamicResourceAllocation + feature gate. \n This field is immutable. It can + only be set for containers." + items: + description: ResourceClaim references one entry + in PodSpec.ResourceClaims. + properties: + name: + description: Name must match the name of one + entry in pod.spec.resourceClaims of the + Pod where this field is used. It makes that + resource available inside a container. + type: string + required: + - name + type: object + type: array + x-kubernetes-list-map-keys: + - name + x-kubernetes-list-type: map + limits: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Limits describes the maximum amount + of compute resources allowed. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + requests: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Requests describes the minimum amount + of compute resources required. If Requests is + omitted for a container, it defaults to Limits + if that is explicitly specified, otherwise to + an implementation-defined value. Requests cannot + exceed Limits. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + type: object + securityContext: + description: 'SecurityContext defines the security options + the container should be run with. If set, the fields + of SecurityContext override the equivalent fields + of PodSecurityContext. More info: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/' + properties: + allowPrivilegeEscalation: + description: 'AllowPrivilegeEscalation controls + whether a process can gain more privileges than + its parent process. This bool directly controls + if the no_new_privs flag will be set on the container + process. AllowPrivilegeEscalation is true always + when the container is: 1) run as Privileged 2) + has CAP_SYS_ADMIN Note that this field cannot + be set when spec.os.name is windows.' + type: boolean + capabilities: + description: The capabilities to add/drop when running + containers. Defaults to the default set of capabilities + granted by the container runtime. Note that this + field cannot be set when spec.os.name is windows. + properties: + add: + description: Added capabilities + items: + description: Capability represent POSIX capabilities + type + type: string + type: array + drop: + description: Removed capabilities + items: + description: Capability represent POSIX capabilities + type + type: string + type: array + type: object + privileged: + description: Run container in privileged mode. Processes + in privileged containers are essentially equivalent + to root on the host. Defaults to false. Note that + this field cannot be set when spec.os.name is + windows. + type: boolean + procMount: + description: procMount denotes the type of proc + mount to use for the containers. The default is + DefaultProcMount which uses the container runtime + defaults for readonly paths and masked paths. + This requires the ProcMountType feature flag to + be enabled. Note that this field cannot be set + when spec.os.name is windows. + type: string + readOnlyRootFilesystem: + description: Whether this container has a read-only + root filesystem. Default is false. Note that this + field cannot be set when spec.os.name is windows. + type: boolean + runAsGroup: + description: The GID to run the entrypoint of the + container process. Uses runtime default if unset. + May also be set in PodSecurityContext. If set + in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is windows. + format: int64 + type: integer + runAsNonRoot: + description: Indicates that the container must run + as a non-root user. If true, the Kubelet will + validate the image at runtime to ensure that it + does not run as UID 0 (root) and fail to start + the container if it does. If unset or false, no + such validation will be performed. May also be + set in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in + SecurityContext takes precedence. + type: boolean + runAsUser: + description: The UID to run the entrypoint of the + container process. Defaults to user specified + in image metadata if unspecified. May also be + set in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in + SecurityContext takes precedence. Note that this + field cannot be set when spec.os.name is windows. + format: int64 + type: integer + seLinuxOptions: + description: The SELinux context to be applied to + the container. If unspecified, the container runtime + will allocate a random SELinux context for each + container. May also be set in PodSecurityContext. If + set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is windows. + properties: + level: + description: Level is SELinux level label that + applies to the container. + type: string + role: + description: Role is a SELinux role label that + applies to the container. + type: string + type: + description: Type is a SELinux type label that + applies to the container. + type: string + user: + description: User is a SELinux user label that + applies to the container. + type: string + type: object + seccompProfile: + description: The seccomp options to use by this + container. If seccomp options are provided at + both the pod & container level, the container + options override the pod options. Note that this + field cannot be set when spec.os.name is windows. + properties: + localhostProfile: + description: localhostProfile indicates a profile + defined in a file on the node should be used. + The profile must be preconfigured on the node + to work. Must be a descending path, relative + to the kubelet's configured seccomp profile + location. Must only be set if type is "Localhost". + type: string + type: + description: "type indicates which kind of seccomp + profile will be applied. Valid options are: + \n Localhost - a profile defined in a file + on the node should be used. RuntimeDefault + - the container runtime default profile should + be used. Unconfined - no profile should be + applied." + type: string + required: + - type + type: object + windowsOptions: + description: The Windows specific settings applied + to all containers. If unspecified, the options + from the PodSecurityContext will be used. If set + in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is linux. + properties: + gmsaCredentialSpec: + description: GMSACredentialSpec is where the + GMSA admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) + inlines the contents of the GMSA credential + spec named by the GMSACredentialSpecName field. + type: string + gmsaCredentialSpecName: + description: GMSACredentialSpecName is the name + of the GMSA credential spec to use. + type: string + hostProcess: + description: HostProcess determines if a container + should be run as a 'Host Process' container. + This field is alpha-level and will only be + honored by components that enable the WindowsHostProcessContainers + feature flag. Setting this field without the + feature flag will result in errors when validating + the Pod. All of a Pod's containers must have + the same effective HostProcess value (it is + not allowed to have a mix of HostProcess containers + and non-HostProcess containers). In addition, + if HostProcess is true then HostNetwork must + also be set to true. + type: boolean + runAsUserName: + description: The UserName in Windows to run + the entrypoint of the container process. Defaults + to the user specified in image metadata if + unspecified. May also be set in PodSecurityContext. + If set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes + precedence. + type: string + type: object + type: object + startupProbe: + description: 'StartupProbe indicates that the Pod has + successfully initialized. If specified, no other probes + are executed until this completes successfully. If + this probe fails, the Pod will be restarted, just + as if the livenessProbe failed. This can be used to + provide different probe parameters at the beginning + of a Pod''s lifecycle, when it might take a long time + to load data or warm a cache, than during steady-state + operation. This cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + stdin: + description: Whether this container should allocate + a buffer for stdin in the container runtime. If this + is not set, reads from stdin in the container will + always result in EOF. Default is false. + type: boolean + stdinOnce: + description: Whether the container runtime should close + the stdin channel after it has been opened by a single + attach. When stdin is true the stdin stream will remain + open across multiple attach sessions. If stdinOnce + is set to true, stdin is opened on container start, + is empty until the first client attaches to stdin, + and then remains open and accepts data until the client + disconnects, at which time stdin is closed and remains + closed until the container is restarted. If this flag + is false, a container processes that reads from stdin + will never receive an EOF. Default is false + type: boolean + terminationMessagePath: + description: 'Optional: Path at which the file to which + the container''s termination message will be written + is mounted into the container''s filesystem. Message + written is intended to be brief final status, such + as an assertion failure message. Will be truncated + by the node if greater than 4096 bytes. The total + message length across all containers will be limited + to 12kb. Defaults to /dev/termination-log. Cannot + be updated.' + type: string + terminationMessagePolicy: + description: Indicate how the termination message should + be populated. File will use the contents of terminationMessagePath + to populate the container status message on both success + and failure. FallbackToLogsOnError will use the last + chunk of container log output if the termination message + file is empty and the container exited with an error. + The log output is limited to 2048 bytes or 80 lines, + whichever is smaller. Defaults to File. Cannot be + updated. + type: string + tty: + description: Whether this container should allocate + a TTY for itself, also requires 'stdin' to be true. + Default is false. + type: boolean + volumeDevices: + description: volumeDevices is the list of block devices + to be used by the container. + items: + description: volumeDevice describes a mapping of a + raw block device within a container. + properties: + devicePath: + description: devicePath is the path inside of + the container that the device will be mapped + to. + type: string + name: + description: name must match the name of a persistentVolumeClaim + in the pod + type: string + required: + - devicePath + - name + type: object + type: array + volumeMounts: + description: Pod volumes to mount into the container's + filesystem. Cannot be updated. + items: + description: VolumeMount describes a mounting of a + Volume within a container. + properties: + mountPath: + description: Path within the container at which + the volume should be mounted. Must not contain + ':'. + type: string + mountPropagation: + description: mountPropagation determines how mounts + are propagated from the host to container and + the other way around. When not set, MountPropagationNone + is used. This field is beta in 1.10. + type: string + name: + description: This must match the Name of a Volume. + type: string + readOnly: + description: Mounted read-only if true, read-write + otherwise (false or unspecified). Defaults to + false. + type: boolean + subPath: + description: Path within the volume from which + the container's volume should be mounted. Defaults + to "" (volume's root). + type: string + subPathExpr: + description: Expanded path within the volume from + which the container's volume should be mounted. + Behaves similarly to SubPath but environment + variable references $(VAR_NAME) are expanded + using the container's environment. Defaults + to "" (volume's root). SubPathExpr and SubPath + are mutually exclusive. + type: string + required: + - mountPath + - name + type: object + type: array + workingDir: + description: Container's working directory. If not specified, + the container runtime's default will be used, which + might be configured in the container image. Cannot + be updated. + type: string + required: + - name + type: object + type: array + dnsConfig: + description: Specifies the DNS parameters of a pod. Parameters + specified here will be merged to the generated DNS configuration + based on DNSPolicy. + properties: + nameservers: + description: A list of DNS name server IP addresses. This + will be appended to the base nameservers generated from + DNSPolicy. Duplicated nameservers will be removed. + items: + type: string + type: array + options: + description: A list of DNS resolver options. This will + be merged with the base options generated from DNSPolicy. + Duplicated entries will be removed. Resolution options + given in Options will override those that appear in + the base DNSPolicy. + items: + description: PodDNSConfigOption defines DNS resolver + options of a pod. + properties: + name: + description: Required. + type: string + value: + type: string + type: object + type: array + searches: + description: A list of DNS search domains for host-name + lookup. This will be appended to the base search paths + generated from DNSPolicy. Duplicated search paths will + be removed. + items: + type: string + type: array + type: object + dnsPolicy: + description: Set DNS policy for the pod. Defaults to "ClusterFirst". + Valid values are 'ClusterFirstWithHostNet', 'ClusterFirst', + 'Default' or 'None'. DNS parameters given in DNSConfig will + be merged with the policy selected with DNSPolicy. To have + DNS options set along with hostNetwork, you have to specify + DNS policy explicitly to 'ClusterFirstWithHostNet'. + type: string + enableServiceLinks: + description: 'EnableServiceLinks indicates whether information + about services should be injected into pod''s environment + variables, matching the syntax of Docker links. Optional: + Defaults to true.' + type: boolean + ephemeralContainers: + description: List of ephemeral containers run in this pod. + Ephemeral containers may be run in an existing pod to perform + user-initiated actions such as debugging. This list cannot + be specified when creating a pod, and it cannot be modified + by updating the pod spec. In order to add an ephemeral container + to an existing pod, use the pod's ephemeralcontainers subresource. + items: + description: "An EphemeralContainer is a temporary container + that you may add to an existing Pod for user-initiated + activities such as debugging. Ephemeral containers have + no resource or scheduling guarantees, and they will not + be restarted when they exit or when a Pod is removed or + restarted. The kubelet may evict a Pod if an ephemeral + container causes the Pod to exceed its resource allocation. + \n To add an ephemeral container, use the ephemeralcontainers + subresource of an existing Pod. Ephemeral containers may + not be removed or restarted." + properties: + args: + description: 'Arguments to the entrypoint. The image''s + CMD is used if this is not provided. Variable references + $(VAR_NAME) are expanded using the container''s environment. + If a variable cannot be resolved, the reference in + the input string will be unchanged. Double $$ are + reduced to a single $, which allows for escaping the + $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" will produce + the string literal "$(VAR_NAME)". Escaped references + will never be expanded, regardless of whether the + variable exists or not. Cannot be updated. More info: + https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell' + items: + type: string + type: array + command: + description: 'Entrypoint array. Not executed within + a shell. The image''s ENTRYPOINT is used if this is + not provided. Variable references $(VAR_NAME) are + expanded using the container''s environment. If a + variable cannot be resolved, the reference in the + input string will be unchanged. Double $$ are reduced + to a single $, which allows for escaping the $(VAR_NAME) + syntax: i.e. "$$(VAR_NAME)" will produce the string + literal "$(VAR_NAME)". Escaped references will never + be expanded, regardless of whether the variable exists + or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell' + items: + type: string + type: array + env: + description: List of environment variables to set in + the container. Cannot be updated. + items: + description: EnvVar represents an environment variable + present in a Container. + properties: + name: + description: Name of the environment variable. + Must be a C_IDENTIFIER. + type: string + value: + description: 'Variable references $(VAR_NAME) + are expanded using the previously defined environment + variables in the container and any service environment + variables. If a variable cannot be resolved, + the reference in the input string will be unchanged. + Double $$ are reduced to a single $, which allows + for escaping the $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" + will produce the string literal "$(VAR_NAME)". + Escaped references will never be expanded, regardless + of whether the variable exists or not. Defaults + to "".' + type: string + valueFrom: + description: Source for the environment variable's + value. Cannot be used if value is not empty. + properties: + configMapKeyRef: + description: Selects a key of a ConfigMap. + properties: + key: + description: The key to select. + type: string + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the ConfigMap + or its key must be defined + type: boolean + required: + - key + type: object + x-kubernetes-map-type: atomic + fieldRef: + description: 'Selects a field of the pod: + supports metadata.name, metadata.namespace, + `metadata.labels['''']`, `metadata.annotations['''']`, + spec.nodeName, spec.serviceAccountName, + status.hostIP, status.podIP, status.podIPs.' + properties: + apiVersion: + description: Version of the schema the + FieldPath is written in terms of, defaults + to "v1". + type: string + fieldPath: + description: Path of the field to select + in the specified API version. + type: string + required: + - fieldPath + type: object + x-kubernetes-map-type: atomic + resourceFieldRef: + description: 'Selects a resource of the container: + only resources limits and requests (limits.cpu, + limits.memory, limits.ephemeral-storage, + requests.cpu, requests.memory and requests.ephemeral-storage) + are currently supported.' + properties: + containerName: + description: 'Container name: required + for volumes, optional for env vars' + type: string + divisor: + anyOf: + - type: integer + - type: string + description: Specifies the output format + of the exposed resources, defaults to + "1" + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + resource: + description: 'Required: resource to select' + type: string + required: + - resource + type: object + x-kubernetes-map-type: atomic + secretKeyRef: + description: Selects a key of a secret in + the pod's namespace + properties: + key: + description: The key of the secret to + select from. Must be a valid secret + key. + type: string + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the Secret + or its key must be defined + type: boolean + required: + - key + type: object + x-kubernetes-map-type: atomic + type: object + required: + - name + type: object + type: array + envFrom: + description: List of sources to populate environment + variables in the container. The keys defined within + a source must be a C_IDENTIFIER. All invalid keys + will be reported as an event when the container is + starting. When a key exists in multiple sources, the + value associated with the last source will take precedence. + Values defined by an Env with a duplicate key will + take precedence. Cannot be updated. + items: + description: EnvFromSource represents the source of + a set of ConfigMaps + properties: + configMapRef: + description: The ConfigMap to select from + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the ConfigMap + must be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + prefix: + description: An optional identifier to prepend + to each key in the ConfigMap. Must be a C_IDENTIFIER. + type: string + secretRef: + description: The Secret to select from + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the Secret must + be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + type: object + type: array + image: + description: 'Container image name. More info: https://kubernetes.io/docs/concepts/containers/images' + type: string + imagePullPolicy: + description: 'Image pull policy. One of Always, Never, + IfNotPresent. Defaults to Always if :latest tag is + specified, or IfNotPresent otherwise. Cannot be updated. + More info: https://kubernetes.io/docs/concepts/containers/images#updating-images' + type: string + lifecycle: + description: Lifecycle is not allowed for ephemeral + containers. + properties: + postStart: + description: 'PostStart is called immediately after + a container is created. If the handler fails, + the container is terminated and restarted according + to its restart policy. Other management of the + container blocks until the hook completes. More + info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line + to execute inside the container, the working + directory for the command is root ('/') + in the container's filesystem. The command + is simply exec'd, it is not run inside + a shell, so traditional shell instructions + ('|', etc) won't work. To use a shell, + you need to explicitly call out to that + shell. Exit status of 0 is treated as + live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set + "Host" in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the + request. HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. + This will be canonicalized upon + output, so case-variant names will + be understood as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP + server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting + to the host. Defaults to HTTP. + type: string + required: + - port + type: object + tcpSocket: + description: Deprecated. TCPSocket is NOT supported + as a LifecycleHandler and kept for the backward + compatibility. There are no validation of + this field and lifecycle hooks will fail in + runtime when tcp handler is specified. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + type: object + preStop: + description: 'PreStop is called immediately before + a container is terminated due to an API request + or management event such as liveness/startup probe + failure, preemption, resource contention, etc. + The handler is not called if the container crashes + or exits. The Pod''s termination grace period + countdown begins before the PreStop hook is executed. + Regardless of the outcome of the handler, the + container will eventually terminate within the + Pod''s termination grace period (unless delayed + by finalizers). Other management of the container + blocks until the hook completes or until the termination + grace period is reached. More info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line + to execute inside the container, the working + directory for the command is root ('/') + in the container's filesystem. The command + is simply exec'd, it is not run inside + a shell, so traditional shell instructions + ('|', etc) won't work. To use a shell, + you need to explicitly call out to that + shell. Exit status of 0 is treated as + live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set + "Host" in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the + request. HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. + This will be canonicalized upon + output, so case-variant names will + be understood as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP + server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting + to the host. Defaults to HTTP. + type: string + required: + - port + type: object + tcpSocket: + description: Deprecated. TCPSocket is NOT supported + as a LifecycleHandler and kept for the backward + compatibility. There are no validation of + this field and lifecycle hooks will fail in + runtime when tcp handler is specified. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + type: object + type: object + livenessProbe: + description: Probes are not allowed for ephemeral containers. + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + name: + description: Name of the ephemeral container specified + as a DNS_LABEL. This name must be unique among all + containers, init containers and ephemeral containers. + type: string + ports: + description: Ports are not allowed for ephemeral containers. + items: + description: ContainerPort represents a network port + in a single container. + properties: + containerPort: + description: Number of port to expose on the pod's + IP address. This must be a valid port number, + 0 < x < 65536. + format: int32 + type: integer + hostIP: + description: What host IP to bind the external + port to. + type: string + hostPort: + description: Number of port to expose on the host. + If specified, this must be a valid port number, + 0 < x < 65536. If HostNetwork is specified, + this must match ContainerPort. Most containers + do not need this. + format: int32 + type: integer + name: + description: If specified, this must be an IANA_SVC_NAME + and unique within the pod. Each named port in + a pod must have a unique name. Name for the + port that can be referred to by services. + type: string + protocol: + default: TCP + description: Protocol for port. Must be UDP, TCP, + or SCTP. Defaults to "TCP". + type: string + required: + - containerPort + type: object + type: array + x-kubernetes-list-map-keys: + - containerPort + - protocol + x-kubernetes-list-type: map + readinessProbe: + description: Probes are not allowed for ephemeral containers. + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + resizePolicy: + description: Resources resize policy for the container. + items: + description: ContainerResizePolicy represents resource + resize policy for the container. + properties: + resourceName: + description: 'Name of the resource to which this + resource resize policy applies. Supported values: + cpu, memory.' + type: string + restartPolicy: + description: Restart policy to apply when specified + resource is resized. If not specified, it defaults + to NotRequired. + type: string + required: + - resourceName + - restartPolicy + type: object + type: array + x-kubernetes-list-type: atomic + resources: + description: Resources are not allowed for ephemeral + containers. Ephemeral containers use spare resources + already allocated to the pod. + properties: + claims: + description: "Claims lists the names of resources, + defined in spec.resourceClaims, that are used + by this container. \n This is an alpha field and + requires enabling the DynamicResourceAllocation + feature gate. \n This field is immutable. It can + only be set for containers." + items: + description: ResourceClaim references one entry + in PodSpec.ResourceClaims. + properties: + name: + description: Name must match the name of one + entry in pod.spec.resourceClaims of the + Pod where this field is used. It makes that + resource available inside a container. + type: string + required: + - name + type: object + type: array + x-kubernetes-list-map-keys: + - name + x-kubernetes-list-type: map + limits: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Limits describes the maximum amount + of compute resources allowed. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + requests: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Requests describes the minimum amount + of compute resources required. If Requests is + omitted for a container, it defaults to Limits + if that is explicitly specified, otherwise to + an implementation-defined value. Requests cannot + exceed Limits. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + type: object + securityContext: + description: 'Optional: SecurityContext defines the + security options the ephemeral container should be + run with. If set, the fields of SecurityContext override + the equivalent fields of PodSecurityContext.' + properties: + allowPrivilegeEscalation: + description: 'AllowPrivilegeEscalation controls + whether a process can gain more privileges than + its parent process. This bool directly controls + if the no_new_privs flag will be set on the container + process. AllowPrivilegeEscalation is true always + when the container is: 1) run as Privileged 2) + has CAP_SYS_ADMIN Note that this field cannot + be set when spec.os.name is windows.' + type: boolean + capabilities: + description: The capabilities to add/drop when running + containers. Defaults to the default set of capabilities + granted by the container runtime. Note that this + field cannot be set when spec.os.name is windows. + properties: + add: + description: Added capabilities + items: + description: Capability represent POSIX capabilities + type + type: string + type: array + drop: + description: Removed capabilities + items: + description: Capability represent POSIX capabilities + type + type: string + type: array + type: object + privileged: + description: Run container in privileged mode. Processes + in privileged containers are essentially equivalent + to root on the host. Defaults to false. Note that + this field cannot be set when spec.os.name is + windows. + type: boolean + procMount: + description: procMount denotes the type of proc + mount to use for the containers. The default is + DefaultProcMount which uses the container runtime + defaults for readonly paths and masked paths. + This requires the ProcMountType feature flag to + be enabled. Note that this field cannot be set + when spec.os.name is windows. + type: string + readOnlyRootFilesystem: + description: Whether this container has a read-only + root filesystem. Default is false. Note that this + field cannot be set when spec.os.name is windows. + type: boolean + runAsGroup: + description: The GID to run the entrypoint of the + container process. Uses runtime default if unset. + May also be set in PodSecurityContext. If set + in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is windows. + format: int64 + type: integer + runAsNonRoot: + description: Indicates that the container must run + as a non-root user. If true, the Kubelet will + validate the image at runtime to ensure that it + does not run as UID 0 (root) and fail to start + the container if it does. If unset or false, no + such validation will be performed. May also be + set in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in + SecurityContext takes precedence. + type: boolean + runAsUser: + description: The UID to run the entrypoint of the + container process. Defaults to user specified + in image metadata if unspecified. May also be + set in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in + SecurityContext takes precedence. Note that this + field cannot be set when spec.os.name is windows. + format: int64 + type: integer + seLinuxOptions: + description: The SELinux context to be applied to + the container. If unspecified, the container runtime + will allocate a random SELinux context for each + container. May also be set in PodSecurityContext. If + set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is windows. + properties: + level: + description: Level is SELinux level label that + applies to the container. + type: string + role: + description: Role is a SELinux role label that + applies to the container. + type: string + type: + description: Type is a SELinux type label that + applies to the container. + type: string + user: + description: User is a SELinux user label that + applies to the container. + type: string + type: object + seccompProfile: + description: The seccomp options to use by this + container. If seccomp options are provided at + both the pod & container level, the container + options override the pod options. Note that this + field cannot be set when spec.os.name is windows. + properties: + localhostProfile: + description: localhostProfile indicates a profile + defined in a file on the node should be used. + The profile must be preconfigured on the node + to work. Must be a descending path, relative + to the kubelet's configured seccomp profile + location. Must only be set if type is "Localhost". + type: string + type: + description: "type indicates which kind of seccomp + profile will be applied. Valid options are: + \n Localhost - a profile defined in a file + on the node should be used. RuntimeDefault + - the container runtime default profile should + be used. Unconfined - no profile should be + applied." + type: string + required: + - type + type: object + windowsOptions: + description: The Windows specific settings applied + to all containers. If unspecified, the options + from the PodSecurityContext will be used. If set + in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is linux. + properties: + gmsaCredentialSpec: + description: GMSACredentialSpec is where the + GMSA admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) + inlines the contents of the GMSA credential + spec named by the GMSACredentialSpecName field. + type: string + gmsaCredentialSpecName: + description: GMSACredentialSpecName is the name + of the GMSA credential spec to use. + type: string + hostProcess: + description: HostProcess determines if a container + should be run as a 'Host Process' container. + This field is alpha-level and will only be + honored by components that enable the WindowsHostProcessContainers + feature flag. Setting this field without the + feature flag will result in errors when validating + the Pod. All of a Pod's containers must have + the same effective HostProcess value (it is + not allowed to have a mix of HostProcess containers + and non-HostProcess containers). In addition, + if HostProcess is true then HostNetwork must + also be set to true. + type: boolean + runAsUserName: + description: The UserName in Windows to run + the entrypoint of the container process. Defaults + to the user specified in image metadata if + unspecified. May also be set in PodSecurityContext. + If set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes + precedence. + type: string + type: object + type: object + startupProbe: + description: Probes are not allowed for ephemeral containers. + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + stdin: + description: Whether this container should allocate + a buffer for stdin in the container runtime. If this + is not set, reads from stdin in the container will + always result in EOF. Default is false. + type: boolean + stdinOnce: + description: Whether the container runtime should close + the stdin channel after it has been opened by a single + attach. When stdin is true the stdin stream will remain + open across multiple attach sessions. If stdinOnce + is set to true, stdin is opened on container start, + is empty until the first client attaches to stdin, + and then remains open and accepts data until the client + disconnects, at which time stdin is closed and remains + closed until the container is restarted. If this flag + is false, a container processes that reads from stdin + will never receive an EOF. Default is false + type: boolean + targetContainerName: + description: "If set, the name of the container from + PodSpec that this ephemeral container targets. The + ephemeral container will be run in the namespaces + (IPC, PID, etc) of this container. If not set then + the ephemeral container uses the namespaces configured + in the Pod spec. \n The container runtime must implement + support for this feature. If the runtime does not + support namespace targeting then the result of setting + this field is undefined." + type: string + terminationMessagePath: + description: 'Optional: Path at which the file to which + the container''s termination message will be written + is mounted into the container''s filesystem. Message + written is intended to be brief final status, such + as an assertion failure message. Will be truncated + by the node if greater than 4096 bytes. The total + message length across all containers will be limited + to 12kb. Defaults to /dev/termination-log. Cannot + be updated.' + type: string + terminationMessagePolicy: + description: Indicate how the termination message should + be populated. File will use the contents of terminationMessagePath + to populate the container status message on both success + and failure. FallbackToLogsOnError will use the last + chunk of container log output if the termination message + file is empty and the container exited with an error. + The log output is limited to 2048 bytes or 80 lines, + whichever is smaller. Defaults to File. Cannot be + updated. + type: string + tty: + description: Whether this container should allocate + a TTY for itself, also requires 'stdin' to be true. + Default is false. + type: boolean + volumeDevices: + description: volumeDevices is the list of block devices + to be used by the container. + items: + description: volumeDevice describes a mapping of a + raw block device within a container. + properties: + devicePath: + description: devicePath is the path inside of + the container that the device will be mapped + to. + type: string + name: + description: name must match the name of a persistentVolumeClaim + in the pod + type: string + required: + - devicePath + - name + type: object + type: array + volumeMounts: + description: Pod volumes to mount into the container's + filesystem. Subpath mounts are not allowed for ephemeral + containers. Cannot be updated. + items: + description: VolumeMount describes a mounting of a + Volume within a container. + properties: + mountPath: + description: Path within the container at which + the volume should be mounted. Must not contain + ':'. + type: string + mountPropagation: + description: mountPropagation determines how mounts + are propagated from the host to container and + the other way around. When not set, MountPropagationNone + is used. This field is beta in 1.10. + type: string + name: + description: This must match the Name of a Volume. + type: string + readOnly: + description: Mounted read-only if true, read-write + otherwise (false or unspecified). Defaults to + false. + type: boolean + subPath: + description: Path within the volume from which + the container's volume should be mounted. Defaults + to "" (volume's root). + type: string + subPathExpr: + description: Expanded path within the volume from + which the container's volume should be mounted. + Behaves similarly to SubPath but environment + variable references $(VAR_NAME) are expanded + using the container's environment. Defaults + to "" (volume's root). SubPathExpr and SubPath + are mutually exclusive. + type: string + required: + - mountPath + - name + type: object + type: array + workingDir: + description: Container's working directory. If not specified, + the container runtime's default will be used, which + might be configured in the container image. Cannot + be updated. + type: string + required: + - name + type: object + type: array + hostAliases: + description: HostAliases is an optional list of hosts and + IPs that will be injected into the pod's hosts file if specified. + This is only valid for non-hostNetwork pods. + items: + description: HostAlias holds the mapping between IP and + hostnames that will be injected as an entry in the pod's + hosts file. + properties: + hostnames: + description: Hostnames for the above IP address. + items: + type: string + type: array + ip: + description: IP address of the host file entry. + type: string + type: object + type: array + hostIPC: + description: 'Use the host''s ipc namespace. Optional: Default + to false.' + type: boolean + hostNetwork: + description: Host networking requested for this pod. Use the + host's network namespace. If this option is set, the ports + that will be used must be specified. Default to false. + type: boolean + hostPID: + description: 'Use the host''s pid namespace. Optional: Default + to false.' + type: boolean + hostUsers: + description: 'Use the host''s user namespace. Optional: Default + to true. If set to true or not present, the pod will be + run in the host user namespace, useful for when the pod + needs a feature only available to the host user namespace, + such as loading a kernel module with CAP_SYS_MODULE. When + set to false, a new userns is created for the pod. Setting + false is useful for mitigating container breakout vulnerabilities + even allowing users to run their containers as root without + actually having root privileges on the host. This field + is alpha-level and is only honored by servers that enable + the UserNamespacesSupport feature.' + type: boolean + hostname: + description: Specifies the hostname of the Pod If not specified, + the pod's hostname will be set to a system-defined value. + type: string + imagePullSecrets: + description: 'ImagePullSecrets is an optional list of references + to secrets in the same namespace to use for pulling any + of the images used by this PodSpec. If specified, these + secrets will be passed to individual puller implementations + for them to use. More info: https://kubernetes.io/docs/concepts/containers/images#specifying-imagepullsecrets-on-a-pod' + items: + description: LocalObjectReference contains enough information + to let you locate the referenced object inside the same + namespace. + properties: + name: + description: 'Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + type: array + initContainers: + description: 'List of initialization containers belonging + to the pod. Init containers are executed in order prior + to containers being started. If any init container fails, + the pod is considered to have failed and is handled according + to its restartPolicy. The name for an init container or + normal container must be unique among all containers. Init + containers may not have Lifecycle actions, Readiness probes, + Liveness probes, or Startup probes. The resourceRequirements + of an init container are taken into account during scheduling + by finding the highest request/limit for each resource type, + and then using the max of of that value or the sum of the + normal containers. Limits are applied to init containers + in a similar fashion. Init containers cannot currently be + added or removed. Cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/' + items: + description: A single application container that you want + to run within a pod. + properties: + args: + description: 'Arguments to the entrypoint. The container + image''s CMD is used if this is not provided. Variable + references $(VAR_NAME) are expanded using the container''s + environment. If a variable cannot be resolved, the + reference in the input string will be unchanged. Double + $$ are reduced to a single $, which allows for escaping + the $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" will produce + the string literal "$(VAR_NAME)". Escaped references + will never be expanded, regardless of whether the + variable exists or not. Cannot be updated. More info: + https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell' + items: + type: string + type: array + command: + description: 'Entrypoint array. Not executed within + a shell. The container image''s ENTRYPOINT is used + if this is not provided. Variable references $(VAR_NAME) + are expanded using the container''s environment. If + a variable cannot be resolved, the reference in the + input string will be unchanged. Double $$ are reduced + to a single $, which allows for escaping the $(VAR_NAME) + syntax: i.e. "$$(VAR_NAME)" will produce the string + literal "$(VAR_NAME)". Escaped references will never + be expanded, regardless of whether the variable exists + or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell' + items: + type: string + type: array + env: + description: List of environment variables to set in + the container. Cannot be updated. + items: + description: EnvVar represents an environment variable + present in a Container. + properties: + name: + description: Name of the environment variable. + Must be a C_IDENTIFIER. + type: string + value: + description: 'Variable references $(VAR_NAME) + are expanded using the previously defined environment + variables in the container and any service environment + variables. If a variable cannot be resolved, + the reference in the input string will be unchanged. + Double $$ are reduced to a single $, which allows + for escaping the $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" + will produce the string literal "$(VAR_NAME)". + Escaped references will never be expanded, regardless + of whether the variable exists or not. Defaults + to "".' + type: string + valueFrom: + description: Source for the environment variable's + value. Cannot be used if value is not empty. + properties: + configMapKeyRef: + description: Selects a key of a ConfigMap. + properties: + key: + description: The key to select. + type: string + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the ConfigMap + or its key must be defined + type: boolean + required: + - key + type: object + x-kubernetes-map-type: atomic + fieldRef: + description: 'Selects a field of the pod: + supports metadata.name, metadata.namespace, + `metadata.labels['''']`, `metadata.annotations['''']`, + spec.nodeName, spec.serviceAccountName, + status.hostIP, status.podIP, status.podIPs.' + properties: + apiVersion: + description: Version of the schema the + FieldPath is written in terms of, defaults + to "v1". + type: string + fieldPath: + description: Path of the field to select + in the specified API version. + type: string + required: + - fieldPath + type: object + x-kubernetes-map-type: atomic + resourceFieldRef: + description: 'Selects a resource of the container: + only resources limits and requests (limits.cpu, + limits.memory, limits.ephemeral-storage, + requests.cpu, requests.memory and requests.ephemeral-storage) + are currently supported.' + properties: + containerName: + description: 'Container name: required + for volumes, optional for env vars' + type: string + divisor: + anyOf: + - type: integer + - type: string + description: Specifies the output format + of the exposed resources, defaults to + "1" + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + resource: + description: 'Required: resource to select' + type: string + required: + - resource + type: object + x-kubernetes-map-type: atomic + secretKeyRef: + description: Selects a key of a secret in + the pod's namespace + properties: + key: + description: The key of the secret to + select from. Must be a valid secret + key. + type: string + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the Secret + or its key must be defined + type: boolean + required: + - key + type: object + x-kubernetes-map-type: atomic + type: object + required: + - name + type: object + type: array + envFrom: + description: List of sources to populate environment + variables in the container. The keys defined within + a source must be a C_IDENTIFIER. All invalid keys + will be reported as an event when the container is + starting. When a key exists in multiple sources, the + value associated with the last source will take precedence. + Values defined by an Env with a duplicate key will + take precedence. Cannot be updated. + items: + description: EnvFromSource represents the source of + a set of ConfigMaps + properties: + configMapRef: + description: The ConfigMap to select from + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the ConfigMap + must be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + prefix: + description: An optional identifier to prepend + to each key in the ConfigMap. Must be a C_IDENTIFIER. + type: string + secretRef: + description: The Secret to select from + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: Specify whether the Secret must + be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + type: object + type: array + image: + description: 'Container image name. More info: https://kubernetes.io/docs/concepts/containers/images + This field is optional to allow higher level config + management to default or override container images + in workload controllers like Deployments and StatefulSets.' + type: string + imagePullPolicy: + description: 'Image pull policy. One of Always, Never, + IfNotPresent. Defaults to Always if :latest tag is + specified, or IfNotPresent otherwise. Cannot be updated. + More info: https://kubernetes.io/docs/concepts/containers/images#updating-images' + type: string + lifecycle: + description: Actions that the management system should + take in response to container lifecycle events. Cannot + be updated. + properties: + postStart: + description: 'PostStart is called immediately after + a container is created. If the handler fails, + the container is terminated and restarted according + to its restart policy. Other management of the + container blocks until the hook completes. More + info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line + to execute inside the container, the working + directory for the command is root ('/') + in the container's filesystem. The command + is simply exec'd, it is not run inside + a shell, so traditional shell instructions + ('|', etc) won't work. To use a shell, + you need to explicitly call out to that + shell. Exit status of 0 is treated as + live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set + "Host" in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the + request. HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. + This will be canonicalized upon + output, so case-variant names will + be understood as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP + server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting + to the host. Defaults to HTTP. + type: string + required: + - port + type: object + tcpSocket: + description: Deprecated. TCPSocket is NOT supported + as a LifecycleHandler and kept for the backward + compatibility. There are no validation of + this field and lifecycle hooks will fail in + runtime when tcp handler is specified. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + type: object + preStop: + description: 'PreStop is called immediately before + a container is terminated due to an API request + or management event such as liveness/startup probe + failure, preemption, resource contention, etc. + The handler is not called if the container crashes + or exits. The Pod''s termination grace period + countdown begins before the PreStop hook is executed. + Regardless of the outcome of the handler, the + container will eventually terminate within the + Pod''s termination grace period (unless delayed + by finalizers). Other management of the container + blocks until the hook completes or until the termination + grace period is reached. More info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line + to execute inside the container, the working + directory for the command is root ('/') + in the container's filesystem. The command + is simply exec'd, it is not run inside + a shell, so traditional shell instructions + ('|', etc) won't work. To use a shell, + you need to explicitly call out to that + shell. Exit status of 0 is treated as + live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set + "Host" in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the + request. HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. + This will be canonicalized upon + output, so case-variant names will + be understood as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP + server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting + to the host. Defaults to HTTP. + type: string + required: + - port + type: object + tcpSocket: + description: Deprecated. TCPSocket is NOT supported + as a LifecycleHandler and kept for the backward + compatibility. There are no validation of + this field and lifecycle hooks will fail in + runtime when tcp handler is specified. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port + to access on the container. Number must + be in the range 1 to 65535. Name must + be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + type: object + type: object + livenessProbe: + description: 'Periodic probe of container liveness. + Container will be restarted if the probe fails. Cannot + be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + name: + description: Name of the container specified as a DNS_LABEL. + Each container in a pod must have a unique name (DNS_LABEL). + Cannot be updated. + type: string + ports: + description: List of ports to expose from the container. + Not specifying a port here DOES NOT prevent that port + from being exposed. Any port which is listening on + the default "0.0.0.0" address inside a container will + be accessible from the network. Modifying this array + with strategic merge patch may corrupt the data. For + more information See https://github.com/kubernetes/kubernetes/issues/108255. + Cannot be updated. + items: + description: ContainerPort represents a network port + in a single container. + properties: + containerPort: + description: Number of port to expose on the pod's + IP address. This must be a valid port number, + 0 < x < 65536. + format: int32 + type: integer + hostIP: + description: What host IP to bind the external + port to. + type: string + hostPort: + description: Number of port to expose on the host. + If specified, this must be a valid port number, + 0 < x < 65536. If HostNetwork is specified, + this must match ContainerPort. Most containers + do not need this. + format: int32 + type: integer + name: + description: If specified, this must be an IANA_SVC_NAME + and unique within the pod. Each named port in + a pod must have a unique name. Name for the + port that can be referred to by services. + type: string + protocol: + default: TCP + description: Protocol for port. Must be UDP, TCP, + or SCTP. Defaults to "TCP". + type: string + required: + - containerPort + type: object + type: array + x-kubernetes-list-map-keys: + - containerPort + - protocol + x-kubernetes-list-type: map + readinessProbe: + description: 'Periodic probe of container service readiness. + Container will be removed from service endpoints if + the probe fails. Cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + resizePolicy: + description: Resources resize policy for the container. + items: + description: ContainerResizePolicy represents resource + resize policy for the container. + properties: + resourceName: + description: 'Name of the resource to which this + resource resize policy applies. Supported values: + cpu, memory.' + type: string + restartPolicy: + description: Restart policy to apply when specified + resource is resized. If not specified, it defaults + to NotRequired. + type: string + required: + - resourceName + - restartPolicy + type: object + type: array + x-kubernetes-list-type: atomic + resources: + description: 'Compute Resources required by this container. + Cannot be updated. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + properties: + claims: + description: "Claims lists the names of resources, + defined in spec.resourceClaims, that are used + by this container. \n This is an alpha field and + requires enabling the DynamicResourceAllocation + feature gate. \n This field is immutable. It can + only be set for containers." + items: + description: ResourceClaim references one entry + in PodSpec.ResourceClaims. + properties: + name: + description: Name must match the name of one + entry in pod.spec.resourceClaims of the + Pod where this field is used. It makes that + resource available inside a container. + type: string + required: + - name + type: object + type: array + x-kubernetes-list-map-keys: + - name + x-kubernetes-list-type: map + limits: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Limits describes the maximum amount + of compute resources allowed. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + requests: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Requests describes the minimum amount + of compute resources required. If Requests is + omitted for a container, it defaults to Limits + if that is explicitly specified, otherwise to + an implementation-defined value. Requests cannot + exceed Limits. More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + type: object + securityContext: + description: 'SecurityContext defines the security options + the container should be run with. If set, the fields + of SecurityContext override the equivalent fields + of PodSecurityContext. More info: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/' + properties: + allowPrivilegeEscalation: + description: 'AllowPrivilegeEscalation controls + whether a process can gain more privileges than + its parent process. This bool directly controls + if the no_new_privs flag will be set on the container + process. AllowPrivilegeEscalation is true always + when the container is: 1) run as Privileged 2) + has CAP_SYS_ADMIN Note that this field cannot + be set when spec.os.name is windows.' + type: boolean + capabilities: + description: The capabilities to add/drop when running + containers. Defaults to the default set of capabilities + granted by the container runtime. Note that this + field cannot be set when spec.os.name is windows. + properties: + add: + description: Added capabilities + items: + description: Capability represent POSIX capabilities + type + type: string + type: array + drop: + description: Removed capabilities + items: + description: Capability represent POSIX capabilities + type + type: string + type: array + type: object + privileged: + description: Run container in privileged mode. Processes + in privileged containers are essentially equivalent + to root on the host. Defaults to false. Note that + this field cannot be set when spec.os.name is + windows. + type: boolean + procMount: + description: procMount denotes the type of proc + mount to use for the containers. The default is + DefaultProcMount which uses the container runtime + defaults for readonly paths and masked paths. + This requires the ProcMountType feature flag to + be enabled. Note that this field cannot be set + when spec.os.name is windows. + type: string + readOnlyRootFilesystem: + description: Whether this container has a read-only + root filesystem. Default is false. Note that this + field cannot be set when spec.os.name is windows. + type: boolean + runAsGroup: + description: The GID to run the entrypoint of the + container process. Uses runtime default if unset. + May also be set in PodSecurityContext. If set + in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is windows. + format: int64 + type: integer + runAsNonRoot: + description: Indicates that the container must run + as a non-root user. If true, the Kubelet will + validate the image at runtime to ensure that it + does not run as UID 0 (root) and fail to start + the container if it does. If unset or false, no + such validation will be performed. May also be + set in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in + SecurityContext takes precedence. + type: boolean + runAsUser: + description: The UID to run the entrypoint of the + container process. Defaults to user specified + in image metadata if unspecified. May also be + set in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in + SecurityContext takes precedence. Note that this + field cannot be set when spec.os.name is windows. + format: int64 + type: integer + seLinuxOptions: + description: The SELinux context to be applied to + the container. If unspecified, the container runtime + will allocate a random SELinux context for each + container. May also be set in PodSecurityContext. If + set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is windows. + properties: + level: + description: Level is SELinux level label that + applies to the container. + type: string + role: + description: Role is a SELinux role label that + applies to the container. + type: string + type: + description: Type is a SELinux type label that + applies to the container. + type: string + user: + description: User is a SELinux user label that + applies to the container. + type: string + type: object + seccompProfile: + description: The seccomp options to use by this + container. If seccomp options are provided at + both the pod & container level, the container + options override the pod options. Note that this + field cannot be set when spec.os.name is windows. + properties: + localhostProfile: + description: localhostProfile indicates a profile + defined in a file on the node should be used. + The profile must be preconfigured on the node + to work. Must be a descending path, relative + to the kubelet's configured seccomp profile + location. Must only be set if type is "Localhost". + type: string + type: + description: "type indicates which kind of seccomp + profile will be applied. Valid options are: + \n Localhost - a profile defined in a file + on the node should be used. RuntimeDefault + - the container runtime default profile should + be used. Unconfined - no profile should be + applied." + type: string + required: + - type + type: object + windowsOptions: + description: The Windows specific settings applied + to all containers. If unspecified, the options + from the PodSecurityContext will be used. If set + in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence. + Note that this field cannot be set when spec.os.name + is linux. + properties: + gmsaCredentialSpec: + description: GMSACredentialSpec is where the + GMSA admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) + inlines the contents of the GMSA credential + spec named by the GMSACredentialSpecName field. + type: string + gmsaCredentialSpecName: + description: GMSACredentialSpecName is the name + of the GMSA credential spec to use. + type: string + hostProcess: + description: HostProcess determines if a container + should be run as a 'Host Process' container. + This field is alpha-level and will only be + honored by components that enable the WindowsHostProcessContainers + feature flag. Setting this field without the + feature flag will result in errors when validating + the Pod. All of a Pod's containers must have + the same effective HostProcess value (it is + not allowed to have a mix of HostProcess containers + and non-HostProcess containers). In addition, + if HostProcess is true then HostNetwork must + also be set to true. + type: boolean + runAsUserName: + description: The UserName in Windows to run + the entrypoint of the container process. Defaults + to the user specified in image metadata if + unspecified. May also be set in PodSecurityContext. + If set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes + precedence. + type: string + type: object + type: object + startupProbe: + description: 'StartupProbe indicates that the Pod has + successfully initialized. If specified, no other probes + are executed until this completes successfully. If + this probe fails, the Pod will be restarted, just + as if the livenessProbe failed. This can be used to + provide different probe parameters at the beginning + of a Pod''s lifecycle, when it might take a long time + to load data or warm a cache, than during steady-state + operation. This cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + properties: + exec: + description: Exec specifies the action to take. + properties: + command: + description: Command is the command line to + execute inside the container, the working + directory for the command is root ('/') in + the container's filesystem. The command is + simply exec'd, it is not run inside a shell, + so traditional shell instructions ('|', etc) + won't work. To use a shell, you need to explicitly + call out to that shell. Exit status of 0 is + treated as live/healthy and non-zero is unhealthy. + items: + type: string + type: array + type: object + failureThreshold: + description: Minimum consecutive failures for the + probe to be considered failed after having succeeded. + Defaults to 3. Minimum value is 1. + format: int32 + type: integer + grpc: + description: GRPC specifies an action involving + a GRPC port. + properties: + port: + description: Port number of the gRPC service. + Number must be in the range 1 to 65535. + format: int32 + type: integer + service: + description: "Service is the name of the service + to place in the gRPC HealthCheckRequest (see + https://github.com/grpc/grpc/blob/master/doc/health-checking.md). + \n If this is not specified, the default behavior + is defined by gRPC." + type: string + required: + - port + type: object + httpGet: + description: HTTPGet specifies the http request + to perform. + properties: + host: + description: Host name to connect to, defaults + to the pod IP. You probably want to set "Host" + in httpHeaders instead. + type: string + httpHeaders: + description: Custom headers to set in the request. + HTTP allows repeated headers. + items: + description: HTTPHeader describes a custom + header to be used in HTTP probes + properties: + name: + description: The header field name. This + will be canonicalized upon output, so + case-variant names will be understood + as the same header. + type: string + value: + description: The header field value + type: string + required: + - name + - value + type: object + type: array + path: + description: Path to access on the HTTP server. + type: string + port: + anyOf: + - type: integer + - type: string + description: Name or number of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + scheme: + description: Scheme to use for connecting to + the host. Defaults to HTTP. + type: string + required: + - port + type: object + initialDelaySeconds: + description: 'Number of seconds after the container + has started before liveness probes are initiated. + More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + periodSeconds: + description: How often (in seconds) to perform the + probe. Default to 10 seconds. Minimum value is + 1. + format: int32 + type: integer + successThreshold: + description: Minimum consecutive successes for the + probe to be considered successful after having + failed. Defaults to 1. Must be 1 for liveness + and startup. Minimum value is 1. + format: int32 + type: integer + tcpSocket: + description: TCPSocket specifies an action involving + a TCP port. + properties: + host: + description: 'Optional: Host name to connect + to, defaults to the pod IP.' + type: string + port: + anyOf: + - type: integer + - type: string + description: Number or name of the port to access + on the container. Number must be in the range + 1 to 65535. Name must be an IANA_SVC_NAME. + x-kubernetes-int-or-string: true + required: + - port + type: object + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod + needs to terminate gracefully upon probe failure. + The grace period is the duration in seconds after + the processes running in the pod are sent a termination + signal and the time when the processes are forcibly + halted with a kill signal. Set this value longer + than the expected cleanup time for your process. + If this value is nil, the pod's terminationGracePeriodSeconds + will be used. Otherwise, this value overrides + the value provided by the pod spec. Value must + be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity + to shut down). This is a beta field and requires + enabling ProbeTerminationGracePeriod feature gate. + Minimum value is 1. spec.terminationGracePeriodSeconds + is used if unset. + format: int64 + type: integer + timeoutSeconds: + description: 'Number of seconds after which the + probe times out. Defaults to 1 second. Minimum + value is 1. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes' + format: int32 + type: integer + type: object + stdin: + description: Whether this container should allocate + a buffer for stdin in the container runtime. If this + is not set, reads from stdin in the container will + always result in EOF. Default is false. + type: boolean + stdinOnce: + description: Whether the container runtime should close + the stdin channel after it has been opened by a single + attach. When stdin is true the stdin stream will remain + open across multiple attach sessions. If stdinOnce + is set to true, stdin is opened on container start, + is empty until the first client attaches to stdin, + and then remains open and accepts data until the client + disconnects, at which time stdin is closed and remains + closed until the container is restarted. If this flag + is false, a container processes that reads from stdin + will never receive an EOF. Default is false + type: boolean + terminationMessagePath: + description: 'Optional: Path at which the file to which + the container''s termination message will be written + is mounted into the container''s filesystem. Message + written is intended to be brief final status, such + as an assertion failure message. Will be truncated + by the node if greater than 4096 bytes. The total + message length across all containers will be limited + to 12kb. Defaults to /dev/termination-log. Cannot + be updated.' + type: string + terminationMessagePolicy: + description: Indicate how the termination message should + be populated. File will use the contents of terminationMessagePath + to populate the container status message on both success + and failure. FallbackToLogsOnError will use the last + chunk of container log output if the termination message + file is empty and the container exited with an error. + The log output is limited to 2048 bytes or 80 lines, + whichever is smaller. Defaults to File. Cannot be + updated. + type: string + tty: + description: Whether this container should allocate + a TTY for itself, also requires 'stdin' to be true. + Default is false. + type: boolean + volumeDevices: + description: volumeDevices is the list of block devices + to be used by the container. + items: + description: volumeDevice describes a mapping of a + raw block device within a container. + properties: + devicePath: + description: devicePath is the path inside of + the container that the device will be mapped + to. + type: string + name: + description: name must match the name of a persistentVolumeClaim + in the pod + type: string + required: + - devicePath + - name + type: object + type: array + volumeMounts: + description: Pod volumes to mount into the container's + filesystem. Cannot be updated. + items: + description: VolumeMount describes a mounting of a + Volume within a container. + properties: + mountPath: + description: Path within the container at which + the volume should be mounted. Must not contain + ':'. + type: string + mountPropagation: + description: mountPropagation determines how mounts + are propagated from the host to container and + the other way around. When not set, MountPropagationNone + is used. This field is beta in 1.10. + type: string + name: + description: This must match the Name of a Volume. + type: string + readOnly: + description: Mounted read-only if true, read-write + otherwise (false or unspecified). Defaults to + false. + type: boolean + subPath: + description: Path within the volume from which + the container's volume should be mounted. Defaults + to "" (volume's root). + type: string + subPathExpr: + description: Expanded path within the volume from + which the container's volume should be mounted. + Behaves similarly to SubPath but environment + variable references $(VAR_NAME) are expanded + using the container's environment. Defaults + to "" (volume's root). SubPathExpr and SubPath + are mutually exclusive. + type: string + required: + - mountPath + - name + type: object + type: array + workingDir: + description: Container's working directory. If not specified, + the container runtime's default will be used, which + might be configured in the container image. Cannot + be updated. + type: string + required: + - name + type: object + type: array + nodeName: + description: NodeName is a request to schedule this pod onto + a specific node. If it is non-empty, the scheduler simply + schedules this pod onto that node, assuming that it fits + resource requirements. + type: string + nodeSelector: + additionalProperties: + type: string + description: 'NodeSelector is a selector which must be true + for the pod to fit on a node. Selector which must match + a node''s labels for the pod to be scheduled on that node. + More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/' + type: object + x-kubernetes-map-type: atomic + os: + description: "Specifies the OS of the containers in the pod. + Some pod and container fields are restricted if this is + set. \n If the OS field is set to linux, the following fields + must be unset: -securityContext.windowsOptions \n If the + OS field is set to windows, following fields must be unset: + - spec.hostPID - spec.hostIPC - spec.hostUsers - spec.securityContext.seLinuxOptions + - spec.securityContext.seccompProfile - spec.securityContext.fsGroup + - spec.securityContext.fsGroupChangePolicy - spec.securityContext.sysctls + - spec.shareProcessNamespace - spec.securityContext.runAsUser + - spec.securityContext.runAsGroup - spec.securityContext.supplementalGroups + - spec.containers[*].securityContext.seLinuxOptions - spec.containers[*].securityContext.seccompProfile + - spec.containers[*].securityContext.capabilities - spec.containers[*].securityContext.readOnlyRootFilesystem + - spec.containers[*].securityContext.privileged - spec.containers[*].securityContext.allowPrivilegeEscalation + - spec.containers[*].securityContext.procMount - spec.containers[*].securityContext.runAsUser + - spec.containers[*].securityContext.runAsGroup" + properties: + name: + description: 'Name is the name of the operating system. + The currently supported values are linux and windows. + Additional value may be defined in future and can be + one of: https://github.com/opencontainers/runtime-spec/blob/master/config.md#platform-specific-configuration + Clients should expect to handle additional values and + treat unrecognized values in this field as os: null' + type: string + required: + - name + type: object + overhead: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Overhead represents the resource overhead associated + with running a pod for a given RuntimeClass. This field + will be autopopulated at admission time by the RuntimeClass + admission controller. If the RuntimeClass admission controller + is enabled, overhead must not be set in Pod create requests. + The RuntimeClass admission controller will reject Pod create + requests which have the overhead already set. If RuntimeClass + is configured and selected in the PodSpec, Overhead will + be set to the value defined in the corresponding RuntimeClass, + otherwise it will remain unset and treated as zero. More + info: https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md' + type: object + preemptionPolicy: + description: PreemptionPolicy is the Policy for preempting + pods with lower priority. One of Never, PreemptLowerPriority. + Defaults to PreemptLowerPriority if unset. + type: string + priority: + description: The priority value. Various system components + use this field to find the priority of the pod. When Priority + Admission Controller is enabled, it prevents users from + setting this field. The admission controller populates this + field from PriorityClassName. The higher the value, the + higher the priority. + format: int32 + type: integer + priorityClassName: + description: If specified, indicates the pod's priority. "system-node-critical" + and "system-cluster-critical" are two special keywords which + indicate the highest priorities with the former being the + highest priority. Any other name must be defined by creating + a PriorityClass object with that name. If not specified, + the pod priority will be default or zero if there is no + default. + type: string + readinessGates: + description: 'If specified, all readiness gates will be evaluated + for pod readiness. A pod is ready when all its containers + are ready AND all conditions specified in the readiness + gates have status equal to "True" More info: https://git.k8s.io/enhancements/keps/sig-network/580-pod-readiness-gates' + items: + description: PodReadinessGate contains the reference to + a pod condition + properties: + conditionType: + description: ConditionType refers to a condition in + the pod's condition list with matching type. + type: string + required: + - conditionType + type: object + type: array + resourceClaims: + description: "ResourceClaims defines which ResourceClaims + must be allocated and reserved before the Pod is allowed + to start. The resources will be made available to those + containers which consume them by name. \n This is an alpha + field and requires enabling the DynamicResourceAllocation + feature gate. \n This field is immutable." + items: + description: PodResourceClaim references exactly one ResourceClaim + through a ClaimSource. It adds a name to it that uniquely + identifies the ResourceClaim inside the Pod. Containers + that need access to the ResourceClaim reference it with + this name. + properties: + name: + description: Name uniquely identifies this resource + claim inside the pod. This must be a DNS_LABEL. + type: string + source: + description: Source describes where to find the ResourceClaim. + properties: + resourceClaimName: + description: ResourceClaimName is the name of a + ResourceClaim object in the same namespace as + this pod. + type: string + resourceClaimTemplateName: + description: "ResourceClaimTemplateName is the name + of a ResourceClaimTemplate object in the same + namespace as this pod. \n The template will be + used to create a new ResourceClaim, which will + be bound to this pod. When this pod is deleted, + the ResourceClaim will also be deleted. The name + of the ResourceClaim will be -, where is the PodResourceClaim.Name. + Pod validation will reject the pod if the concatenated + name is not valid for a ResourceClaim (e.g. too + long). \n An existing ResourceClaim with that + name that is not owned by the pod will not be + used for the pod to avoid using an unrelated resource + by mistake. Scheduling and pod startup are then + blocked until the unrelated ResourceClaim is removed. + \n This field is immutable and no changes will + be made to the corresponding ResourceClaim by + the control plane after creating the ResourceClaim." + type: string + type: object + required: + - name + type: object + type: array + x-kubernetes-list-map-keys: + - name + x-kubernetes-list-type: map + restartPolicy: + description: 'Restart policy for all containers within the + pod. One of Always, OnFailure, Never. In some contexts, + only a subset of those values may be permitted. Default + to Always. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#restart-policy' + type: string + runtimeClassName: + description: 'RuntimeClassName refers to a RuntimeClass object + in the node.k8s.io group, which should be used to run this + pod. If no RuntimeClass resource matches the named class, + the pod will not be run. If unset or empty, the "legacy" + RuntimeClass will be used, which is an implicit class with + an empty definition that uses the default runtime handler. + More info: https://git.k8s.io/enhancements/keps/sig-node/585-runtime-class' + type: string + schedulerName: + description: If specified, the pod will be dispatched by specified + scheduler. If not specified, the pod will be dispatched + by default scheduler. + type: string + schedulingGates: + description: "SchedulingGates is an opaque list of values + that if specified will block scheduling the pod. If schedulingGates + is not empty, the pod will stay in the SchedulingGated state + and the scheduler will not attempt to schedule the pod. + \n SchedulingGates can only be set at pod creation time, + and be removed only afterwards. \n This is a beta feature + enabled by the PodSchedulingReadiness feature gate." + items: + description: PodSchedulingGate is associated to a Pod to + guard its scheduling. + properties: + name: + description: Name of the scheduling gate. Each scheduling + gate must have a unique name field. + type: string + required: + - name + type: object + type: array + x-kubernetes-list-map-keys: + - name + x-kubernetes-list-type: map + securityContext: + description: 'SecurityContext holds pod-level security attributes + and common container settings. Optional: Defaults to empty. See + type description for default values of each field.' + properties: + fsGroup: + description: "A special supplemental group that applies + to all containers in a pod. Some volume types allow + the Kubelet to change the ownership of that volume to + be owned by the pod: \n 1. The owning GID will be the + FSGroup 2. The setgid bit is set (new files created + in the volume will be owned by FSGroup) 3. The permission + bits are OR'd with rw-rw---- \n If unset, the Kubelet + will not modify the ownership and permissions of any + volume. Note that this field cannot be set when spec.os.name + is windows." + format: int64 + type: integer + fsGroupChangePolicy: + description: 'fsGroupChangePolicy defines behavior of + changing ownership and permission of the volume before + being exposed inside Pod. This field will only apply + to volume types which support fsGroup based ownership(and + permissions). It will have no effect on ephemeral volume + types such as: secret, configmaps and emptydir. Valid + values are "OnRootMismatch" and "Always". If not specified, + "Always" is used. Note that this field cannot be set + when spec.os.name is windows.' + type: string + runAsGroup: + description: The GID to run the entrypoint of the container + process. Uses runtime default if unset. May also be + set in SecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in SecurityContext + takes precedence for that container. Note that this + field cannot be set when spec.os.name is windows. + format: int64 + type: integer + runAsNonRoot: + description: Indicates that the container must run as + a non-root user. If true, the Kubelet will validate + the image at runtime to ensure that it does not run + as UID 0 (root) and fail to start the container if it + does. If unset or false, no such validation will be + performed. May also be set in SecurityContext. If set + in both SecurityContext and PodSecurityContext, the + value specified in SecurityContext takes precedence. + type: boolean + runAsUser: + description: The UID to run the entrypoint of the container + process. Defaults to user specified in image metadata + if unspecified. May also be set in SecurityContext. If + set in both SecurityContext and PodSecurityContext, + the value specified in SecurityContext takes precedence + for that container. Note that this field cannot be set + when spec.os.name is windows. + format: int64 + type: integer + seLinuxOptions: + description: The SELinux context to be applied to all + containers. If unspecified, the container runtime will + allocate a random SELinux context for each container. May + also be set in SecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in SecurityContext + takes precedence for that container. Note that this + field cannot be set when spec.os.name is windows. + properties: + level: + description: Level is SELinux level label that applies + to the container. + type: string + role: + description: Role is a SELinux role label that applies + to the container. + type: string + type: + description: Type is a SELinux type label that applies + to the container. + type: string + user: + description: User is a SELinux user label that applies + to the container. + type: string + type: object + seccompProfile: + description: The seccomp options to use by the containers + in this pod. Note that this field cannot be set when + spec.os.name is windows. + properties: + localhostProfile: + description: localhostProfile indicates a profile + defined in a file on the node should be used. The + profile must be preconfigured on the node to work. + Must be a descending path, relative to the kubelet's + configured seccomp profile location. Must only be + set if type is "Localhost". + type: string + type: + description: "type indicates which kind of seccomp + profile will be applied. Valid options are: \n Localhost + - a profile defined in a file on the node should + be used. RuntimeDefault - the container runtime + default profile should be used. Unconfined - no + profile should be applied." + type: string + required: + - type + type: object + supplementalGroups: + description: A list of groups applied to the first process + run in each container, in addition to the container's + primary GID, the fsGroup (if specified), and group memberships + defined in the container image for the uid of the container + process. If unspecified, no additional groups are added + to any container. Note that group memberships defined + in the container image for the uid of the container + process are still effective, even if they are not included + in this list. Note that this field cannot be set when + spec.os.name is windows. + items: + format: int64 + type: integer + type: array + sysctls: + description: Sysctls hold a list of namespaced sysctls + used for the pod. Pods with unsupported sysctls (by + the container runtime) might fail to launch. Note that + this field cannot be set when spec.os.name is windows. + items: + description: Sysctl defines a kernel parameter to be + set + properties: + name: + description: Name of a property to set + type: string + value: + description: Value of a property to set + type: string + required: + - name + - value + type: object + type: array + windowsOptions: + description: The Windows specific settings applied to + all containers. If unspecified, the options within a + container's SecurityContext will be used. If set in + both SecurityContext and PodSecurityContext, the value + specified in SecurityContext takes precedence. Note + that this field cannot be set when spec.os.name is linux. + properties: + gmsaCredentialSpec: + description: GMSACredentialSpec is where the GMSA + admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) + inlines the contents of the GMSA credential spec + named by the GMSACredentialSpecName field. + type: string + gmsaCredentialSpecName: + description: GMSACredentialSpecName is the name of + the GMSA credential spec to use. + type: string + hostProcess: + description: HostProcess determines if a container + should be run as a 'Host Process' container. This + field is alpha-level and will only be honored by + components that enable the WindowsHostProcessContainers + feature flag. Setting this field without the feature + flag will result in errors when validating the Pod. + All of a Pod's containers must have the same effective + HostProcess value (it is not allowed to have a mix + of HostProcess containers and non-HostProcess containers). In + addition, if HostProcess is true then HostNetwork + must also be set to true. + type: boolean + runAsUserName: + description: The UserName in Windows to run the entrypoint + of the container process. Defaults to the user specified + in image metadata if unspecified. May also be set + in PodSecurityContext. If set in both SecurityContext + and PodSecurityContext, the value specified in SecurityContext + takes precedence. + type: string + type: object + type: object + serviceAccount: + description: 'DeprecatedServiceAccount is a depreciated alias + for ServiceAccountName. Deprecated: Use serviceAccountName + instead.' + type: string + serviceAccountName: + description: 'ServiceAccountName is the name of the ServiceAccount + to use to run this pod. More info: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/' + type: string + setHostnameAsFQDN: + description: If true the pod's hostname will be configured + as the pod's FQDN, rather than the leaf name (the default). + In Linux containers, this means setting the FQDN in the + hostname field of the kernel (the nodename field of struct + utsname). In Windows containers, this means setting the + registry value of hostname for the registry key HKEY_LOCAL_MACHINE\\SYSTEM\\CurrentControlSet\\Services\\Tcpip\\Parameters + to FQDN. If a pod does not have FQDN, this has no effect. + Default to false. + type: boolean + shareProcessNamespace: + description: 'Share a single process namespace between all + of the containers in a pod. When this is set containers + will be able to view and signal processes from other containers + in the same pod, and the first process in each container + will not be assigned PID 1. HostPID and ShareProcessNamespace + cannot both be set. Optional: Default to false.' + type: boolean + subdomain: + description: If specified, the fully qualified Pod hostname + will be "...svc.". If not specified, the pod will not have a domainname + at all. + type: string + terminationGracePeriodSeconds: + description: Optional duration in seconds the pod needs to + terminate gracefully. May be decreased in delete request. + Value must be non-negative integer. The value zero indicates + stop immediately via the kill signal (no opportunity to + shut down). If this value is nil, the default grace period + will be used instead. The grace period is the duration in + seconds after the processes running in the pod are sent + a termination signal and the time when the processes are + forcibly halted with a kill signal. Set this value longer + than the expected cleanup time for your process. Defaults + to 30 seconds. + format: int64 + type: integer + tolerations: + description: If specified, the pod's tolerations. + items: + description: The pod this Toleration is attached to tolerates + any taint that matches the triple using + the matching operator . + properties: + effect: + description: Effect indicates the taint effect to match. + Empty means match all taint effects. When specified, + allowed values are NoSchedule, PreferNoSchedule and + NoExecute. + type: string + key: + description: Key is the taint key that the toleration + applies to. Empty means match all taint keys. If the + key is empty, operator must be Exists; this combination + means to match all values and all keys. + type: string + operator: + description: Operator represents a key's relationship + to the value. Valid operators are Exists and Equal. + Defaults to Equal. Exists is equivalent to wildcard + for value, so that a pod can tolerate all taints of + a particular category. + type: string + tolerationSeconds: + description: TolerationSeconds represents the period + of time the toleration (which must be of effect NoExecute, + otherwise this field is ignored) tolerates the taint. + By default, it is not set, which means tolerate the + taint forever (do not evict). Zero and negative values + will be treated as 0 (evict immediately) by the system. + format: int64 + type: integer + value: + description: Value is the taint value the toleration + matches to. If the operator is Exists, the value should + be empty, otherwise just a regular string. + type: string + type: object + type: array + topologySpreadConstraints: + description: TopologySpreadConstraints describes how a group + of pods ought to spread across topology domains. Scheduler + will schedule pods in a way which abides by the constraints. + All topologySpreadConstraints are ANDed. + items: + description: TopologySpreadConstraint specifies how to spread + matching pods among the given topology. + properties: + labelSelector: + description: LabelSelector is used to find matching + pods. Pods that match this label selector are counted + to determine the number of pods in their corresponding + topology domain. + properties: + matchExpressions: + description: matchExpressions is a list of label + selector requirements. The requirements are ANDed. + items: + description: A label selector requirement is a + selector that contains values, a key, and an + operator that relates the key and values. + properties: + key: + description: key is the label key that the + selector applies to. + type: string + operator: + description: operator represents a key's relationship + to a set of values. Valid operators are + In, NotIn, Exists and DoesNotExist. + type: string + values: + description: values is an array of string + values. If the operator is In or NotIn, + the values array must be non-empty. If the + operator is Exists or DoesNotExist, the + values array must be empty. This array is + replaced during a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of {key,value} + pairs. A single {key,value} in the matchLabels + map is equivalent to an element of matchExpressions, + whose key field is "key", the operator is "In", + and the values array contains only "value". The + requirements are ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + matchLabelKeys: + description: "MatchLabelKeys is a set of pod label keys + to select the pods over which spreading will be calculated. + The keys are used to lookup values from the incoming + pod labels, those key-value labels are ANDed with + labelSelector to select the group of existing pods + over which spreading will be calculated for the incoming + pod. The same key is forbidden to exist in both MatchLabelKeys + and LabelSelector. MatchLabelKeys cannot be set when + LabelSelector isn't set. Keys that don't exist in + the incoming pod labels will be ignored. A null or + empty list means only match against labelSelector. + \n This is a beta field and requires the MatchLabelKeysInPodTopologySpread + feature gate to be enabled (enabled by default)." + items: + type: string + type: array + x-kubernetes-list-type: atomic + maxSkew: + description: 'MaxSkew describes the degree to which + pods may be unevenly distributed. When `whenUnsatisfiable=DoNotSchedule`, + it is the maximum permitted difference between the + number of matching pods in the target topology and + the global minimum. The global minimum is the minimum + number of matching pods in an eligible domain or zero + if the number of eligible domains is less than MinDomains. + For example, in a 3-zone cluster, MaxSkew is set to + 1, and pods with the same labelSelector spread as + 2/2/1: In this case, the global minimum is 1. | zone1 + | zone2 | zone3 | | P P | P P | P | - if MaxSkew + is 1, incoming pod can only be scheduled to zone3 + to become 2/2/2; scheduling it onto zone1(zone2) would + make the ActualSkew(3-1) on zone1(zone2) violate MaxSkew(1). + - if MaxSkew is 2, incoming pod can be scheduled onto + any zone. When `whenUnsatisfiable=ScheduleAnyway`, + it is used to give higher precedence to topologies + that satisfy it. It''s a required field. Default value + is 1 and 0 is not allowed.' + format: int32 + type: integer + minDomains: + description: "MinDomains indicates a minimum number + of eligible domains. When the number of eligible domains + with matching topology keys is less than minDomains, + Pod Topology Spread treats \"global minimum\" as 0, + and then the calculation of Skew is performed. And + when the number of eligible domains with matching + topology keys equals or greater than minDomains, this + value has no effect on scheduling. As a result, when + the number of eligible domains is less than minDomains, + scheduler won't schedule more than maxSkew Pods to + those domains. If value is nil, the constraint behaves + as if MinDomains is equal to 1. Valid values are integers + greater than 0. When value is not nil, WhenUnsatisfiable + must be DoNotSchedule. \n For example, in a 3-zone + cluster, MaxSkew is set to 2, MinDomains is set to + 5 and pods with the same labelSelector spread as 2/2/2: + | zone1 | zone2 | zone3 | | P P | P P | P P | + The number of domains is less than 5(MinDomains), + so \"global minimum\" is treated as 0. In this situation, + new pod with the same labelSelector cannot be scheduled, + because computed skew will be 3(3 - 0) if new Pod + is scheduled to any of the three zones, it will violate + MaxSkew. \n This is a beta field and requires the + MinDomainsInPodTopologySpread feature gate to be enabled + (enabled by default)." + format: int32 + type: integer + nodeAffinityPolicy: + description: "NodeAffinityPolicy indicates how we will + treat Pod's nodeAffinity/nodeSelector when calculating + pod topology spread skew. Options are: - Honor: only + nodes matching nodeAffinity/nodeSelector are included + in the calculations. - Ignore: nodeAffinity/nodeSelector + are ignored. All nodes are included in the calculations. + \n If this value is nil, the behavior is equivalent + to the Honor policy. This is a beta-level feature + default enabled by the NodeInclusionPolicyInPodTopologySpread + feature flag." + type: string + nodeTaintsPolicy: + description: "NodeTaintsPolicy indicates how we will + treat node taints when calculating pod topology spread + skew. Options are: - Honor: nodes without taints, + along with tainted nodes for which the incoming pod + has a toleration, are included. - Ignore: node taints + are ignored. All nodes are included. \n If this value + is nil, the behavior is equivalent to the Ignore policy. + This is a beta-level feature default enabled by the + NodeInclusionPolicyInPodTopologySpread feature flag." + type: string + topologyKey: + description: TopologyKey is the key of node labels. + Nodes that have a label with this key and identical + values are considered to be in the same topology. + We consider each as a "bucket", and try + to put balanced number of pods into each bucket. We + define a domain as a particular instance of a topology. + Also, we define an eligible domain as a domain whose + nodes meet the requirements of nodeAffinityPolicy + and nodeTaintsPolicy. e.g. If TopologyKey is "kubernetes.io/hostname", + each Node is a domain of that topology. And, if TopologyKey + is "topology.kubernetes.io/zone", each zone is a domain + of that topology. It's a required field. + type: string + whenUnsatisfiable: + description: 'WhenUnsatisfiable indicates how to deal + with a pod if it doesn''t satisfy the spread constraint. + - DoNotSchedule (default) tells the scheduler not + to schedule it. - ScheduleAnyway tells the scheduler + to schedule the pod in any location, but giving higher + precedence to topologies that would help reduce the + skew. A constraint is considered "Unsatisfiable" for + an incoming pod if and only if every possible node + assignment for that pod would violate "MaxSkew" on + some topology. For example, in a 3-zone cluster, MaxSkew + is set to 1, and pods with the same labelSelector + spread as 3/1/1: | zone1 | zone2 | zone3 | | P P P + | P | P | If WhenUnsatisfiable is set to DoNotSchedule, + incoming pod can only be scheduled to zone2(zone3) + to become 3/2/1(3/1/2) as ActualSkew(2-1) on zone2(zone3) + satisfies MaxSkew(1). In other words, the cluster + can still be imbalanced, but scheduler won''t make + it *more* imbalanced. It''s a required field.' + type: string + required: + - maxSkew + - topologyKey + - whenUnsatisfiable + type: object + type: array + x-kubernetes-list-map-keys: + - topologyKey + - whenUnsatisfiable + x-kubernetes-list-type: map + volumes: + description: 'List of volumes that can be mounted by containers + belonging to the pod. More info: https://kubernetes.io/docs/concepts/storage/volumes' + items: + description: Volume represents a named volume in a pod that + may be accessed by any container in the pod. + properties: + awsElasticBlockStore: + description: 'awsElasticBlockStore represents an AWS + Disk resource that is attached to a kubelet''s host + machine and then exposed to the pod. More info: https://kubernetes.io/docs/concepts/storage/volumes#awselasticblockstore' + properties: + fsType: + description: 'fsType is the filesystem type of the + volume that you want to mount. Tip: Ensure that + the filesystem type is supported by the host operating + system. Examples: "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. More info: + https://kubernetes.io/docs/concepts/storage/volumes#awselasticblockstore + TODO: how do we prevent errors in the filesystem + from compromising the machine' + type: string + partition: + description: 'partition is the partition in the + volume that you want to mount. If omitted, the + default is to mount by volume name. Examples: + For volume /dev/sda1, you specify the partition + as "1". Similarly, the volume partition for /dev/sda + is "0" (or you can leave the property empty).' + format: int32 + type: integer + readOnly: + description: 'readOnly value true will force the + readOnly setting in VolumeMounts. More info: https://kubernetes.io/docs/concepts/storage/volumes#awselasticblockstore' + type: boolean + volumeID: + description: 'volumeID is unique ID of the persistent + disk resource in AWS (Amazon EBS volume). More + info: https://kubernetes.io/docs/concepts/storage/volumes#awselasticblockstore' + type: string + required: + - volumeID + type: object + azureDisk: + description: azureDisk represents an Azure Data Disk + mount on the host and bind mount to the pod. + properties: + cachingMode: + description: 'cachingMode is the Host Caching mode: + None, Read Only, Read Write.' + type: string + diskName: + description: diskName is the Name of the data disk + in the blob storage + type: string + diskURI: + description: diskURI is the URI of data disk in + the blob storage + type: string + fsType: + description: fsType is Filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. + type: string + kind: + description: 'kind expected values are Shared: multiple + blob disks per storage account Dedicated: single + blob disk per storage account Managed: azure + managed data disk (only in managed availability + set). defaults to shared' + type: string + readOnly: + description: readOnly Defaults to false (read/write). + ReadOnly here will force the ReadOnly setting + in VolumeMounts. + type: boolean + required: + - diskName + - diskURI + type: object + azureFile: + description: azureFile represents an Azure File Service + mount on the host and bind mount to the pod. + properties: + readOnly: + description: readOnly defaults to false (read/write). + ReadOnly here will force the ReadOnly setting + in VolumeMounts. + type: boolean + secretName: + description: secretName is the name of secret that + contains Azure Storage Account Name and Key + type: string + shareName: + description: shareName is the azure share Name + type: string + required: + - secretName + - shareName + type: object + cephfs: + description: cephFS represents a Ceph FS mount on the + host that shares a pod's lifetime + properties: + monitors: + description: 'monitors is Required: Monitors is + a collection of Ceph monitors More info: https://examples.k8s.io/volumes/cephfs/README.md#how-to-use-it' + items: + type: string + type: array + path: + description: 'path is Optional: Used as the mounted + root, rather than the full Ceph tree, default + is /' + type: string + readOnly: + description: 'readOnly is Optional: Defaults to + false (read/write). ReadOnly here will force the + ReadOnly setting in VolumeMounts. More info: https://examples.k8s.io/volumes/cephfs/README.md#how-to-use-it' + type: boolean + secretFile: + description: 'secretFile is Optional: SecretFile + is the path to key ring for User, default is /etc/ceph/user.secret + More info: https://examples.k8s.io/volumes/cephfs/README.md#how-to-use-it' + type: string + secretRef: + description: 'secretRef is Optional: SecretRef is + reference to the authentication secret for User, + default is empty. More info: https://examples.k8s.io/volumes/cephfs/README.md#how-to-use-it' + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + user: + description: 'user is optional: User is the rados + user name, default is admin More info: https://examples.k8s.io/volumes/cephfs/README.md#how-to-use-it' + type: string + required: + - monitors + type: object + cinder: + description: 'cinder represents a cinder volume attached + and mounted on kubelets host machine. More info: https://examples.k8s.io/mysql-cinder-pd/README.md' + properties: + fsType: + description: 'fsType is the filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Examples: "ext4", "xfs", "ntfs". + Implicitly inferred to be "ext4" if unspecified. + More info: https://examples.k8s.io/mysql-cinder-pd/README.md' + type: string + readOnly: + description: 'readOnly defaults to false (read/write). + ReadOnly here will force the ReadOnly setting + in VolumeMounts. More info: https://examples.k8s.io/mysql-cinder-pd/README.md' + type: boolean + secretRef: + description: 'secretRef is optional: points to a + secret object containing parameters used to connect + to OpenStack.' + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + volumeID: + description: 'volumeID used to identify the volume + in cinder. More info: https://examples.k8s.io/mysql-cinder-pd/README.md' + type: string + required: + - volumeID + type: object + configMap: + description: configMap represents a configMap that should + populate this volume + properties: + defaultMode: + description: 'defaultMode is optional: mode bits + used to set permissions on created files by default. + Must be an octal value between 0000 and 0777 or + a decimal value between 0 and 511. YAML accepts + both octal and decimal values, JSON requires decimal + values for mode bits. Defaults to 0644. Directories + within the path are not affected by this setting. + This might be in conflict with other options that + affect the file mode, like fsGroup, and the result + can be other mode bits set.' + format: int32 + type: integer + items: + description: items if unspecified, each key-value + pair in the Data field of the referenced ConfigMap + will be projected into the volume as a file whose + name is the key and content is the value. If specified, + the listed keys will be projected into the specified + paths, and unlisted keys will not be present. + If a key is specified which is not present in + the ConfigMap, the volume setup will error unless + it is marked optional. Paths must be relative + and may not contain the '..' path or start with + '..'. + items: + description: Maps a string key to a path within + a volume. + properties: + key: + description: key is the key to project. + type: string + mode: + description: 'mode is Optional: mode bits + used to set permissions on this file. Must + be an octal value between 0000 and 0777 + or a decimal value between 0 and 511. YAML + accepts both octal and decimal values, JSON + requires decimal values for mode bits. If + not specified, the volume defaultMode will + be used. This might be in conflict with + other options that affect the file mode, + like fsGroup, and the result can be other + mode bits set.' + format: int32 + type: integer + path: + description: path is the relative path of + the file to map the key to. May not be an + absolute path. May not contain the path + element '..'. May not start with the string + '..'. + type: string + required: + - key + - path + type: object + type: array + name: + description: 'Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, kind, + uid?' + type: string + optional: + description: optional specify whether the ConfigMap + or its keys must be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + csi: + description: csi (Container Storage Interface) represents + ephemeral storage that is handled by certain external + CSI drivers (Beta feature). + properties: + driver: + description: driver is the name of the CSI driver + that handles this volume. Consult with your admin + for the correct name as registered in the cluster. + type: string + fsType: + description: fsType to mount. Ex. "ext4", "xfs", + "ntfs". If not provided, the empty value is passed + to the associated CSI driver which will determine + the default filesystem to apply. + type: string + nodePublishSecretRef: + description: nodePublishSecretRef is a reference + to the secret object containing sensitive information + to pass to the CSI driver to complete the CSI + NodePublishVolume and NodeUnpublishVolume calls. + This field is optional, and may be empty if no + secret is required. If the secret object contains + more than one secret, all secret references are + passed. + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + readOnly: + description: readOnly specifies a read-only configuration + for the volume. Defaults to false (read/write). + type: boolean + volumeAttributes: + additionalProperties: + type: string + description: volumeAttributes stores driver-specific + properties that are passed to the CSI driver. + Consult your driver's documentation for supported + values. + type: object + required: + - driver + type: object + downwardAPI: + description: downwardAPI represents downward API about + the pod that should populate this volume + properties: + defaultMode: + description: 'Optional: mode bits to use on created + files by default. Must be a Optional: mode bits + used to set permissions on created files by default. + Must be an octal value between 0000 and 0777 or + a decimal value between 0 and 511. YAML accepts + both octal and decimal values, JSON requires decimal + values for mode bits. Defaults to 0644. Directories + within the path are not affected by this setting. + This might be in conflict with other options that + affect the file mode, like fsGroup, and the result + can be other mode bits set.' + format: int32 + type: integer + items: + description: Items is a list of downward API volume + file + items: + description: DownwardAPIVolumeFile represents + information to create the file containing the + pod field + properties: + fieldRef: + description: 'Required: Selects a field of + the pod: only annotations, labels, name + and namespace are supported.' + properties: + apiVersion: + description: Version of the schema the + FieldPath is written in terms of, defaults + to "v1". + type: string + fieldPath: + description: Path of the field to select + in the specified API version. + type: string + required: + - fieldPath + type: object + x-kubernetes-map-type: atomic + mode: + description: 'Optional: mode bits used to + set permissions on this file, must be an + octal value between 0000 and 0777 or a decimal + value between 0 and 511. YAML accepts both + octal and decimal values, JSON requires + decimal values for mode bits. If not specified, + the volume defaultMode will be used. This + might be in conflict with other options + that affect the file mode, like fsGroup, + and the result can be other mode bits set.' + format: int32 + type: integer + path: + description: 'Required: Path is the relative + path name of the file to be created. Must + not be absolute or contain the ''..'' path. + Must be utf-8 encoded. The first item of + the relative path must not start with ''..''' + type: string + resourceFieldRef: + description: 'Selects a resource of the container: + only resources limits and requests (limits.cpu, + limits.memory, requests.cpu and requests.memory) + are currently supported.' + properties: + containerName: + description: 'Container name: required + for volumes, optional for env vars' + type: string + divisor: + anyOf: + - type: integer + - type: string + description: Specifies the output format + of the exposed resources, defaults to + "1" + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + resource: + description: 'Required: resource to select' + type: string + required: + - resource + type: object + x-kubernetes-map-type: atomic + required: + - path + type: object + type: array + type: object + emptyDir: + description: 'emptyDir represents a temporary directory + that shares a pod''s lifetime. More info: https://kubernetes.io/docs/concepts/storage/volumes#emptydir' + properties: + medium: + description: 'medium represents what type of storage + medium should back this directory. The default + is "" which means to use the node''s default medium. + Must be an empty string (default) or Memory. More + info: https://kubernetes.io/docs/concepts/storage/volumes#emptydir' + type: string + sizeLimit: + anyOf: + - type: integer + - type: string + description: 'sizeLimit is the total amount of local + storage required for this EmptyDir volume. The + size limit is also applicable for memory medium. + The maximum usage on memory medium EmptyDir would + be the minimum value between the SizeLimit specified + here and the sum of memory limits of all containers + in a pod. The default is nil which means that + the limit is undefined. More info: https://kubernetes.io/docs/concepts/storage/volumes#emptydir' + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + type: object + ephemeral: + description: "ephemeral represents a volume that is + handled by a cluster storage driver. The volume's + lifecycle is tied to the pod that defines it - it + will be created before the pod starts, and deleted + when the pod is removed. \n Use this if: a) the volume + is only needed while the pod runs, b) features of + normal volumes like restoring from snapshot or capacity + tracking are needed, c) the storage driver is specified + through a storage class, and d) the storage driver + supports dynamic volume provisioning through a PersistentVolumeClaim + (see EphemeralVolumeSource for more information on + the connection between this volume type and PersistentVolumeClaim). + \n Use PersistentVolumeClaim or one of the vendor-specific + APIs for volumes that persist for longer than the + lifecycle of an individual pod. \n Use CSI for light-weight + local ephemeral volumes if the CSI driver is meant + to be used that way - see the documentation of the + driver for more information. \n A pod can use both + types of ephemeral volumes and persistent volumes + at the same time." + properties: + volumeClaimTemplate: + description: "Will be used to create a stand-alone + PVC to provision the volume. The pod in which + this EphemeralVolumeSource is embedded will be + the owner of the PVC, i.e. the PVC will be deleted + together with the pod. The name of the PVC will + be `-` where `` + is the name from the `PodSpec.Volumes` array entry. + Pod validation will reject the pod if the concatenated + name is not valid for a PVC (for example, too + long). \n An existing PVC with that name that + is not owned by the pod will *not* be used for + the pod to avoid using an unrelated volume by + mistake. Starting the pod is then blocked until + the unrelated PVC is removed. If such a pre-created + PVC is meant to be used by the pod, the PVC has + to updated with an owner reference to the pod + once the pod exists. Normally this should not + be necessary, but it may be useful when manually + reconstructing a broken cluster. \n This field + is read-only and no changes will be made by Kubernetes + to the PVC after it has been created. \n Required, + must not be nil." + properties: + metadata: + description: May contain labels and annotations + that will be copied into the PVC when creating + it. No other fields are allowed and will be + rejected during validation. + type: object + spec: + description: The specification for the PersistentVolumeClaim. + The entire content is copied unchanged into + the PVC that gets created from this template. + The same fields as in a PersistentVolumeClaim + are also valid here. + properties: + accessModes: + description: 'accessModes contains the desired + access modes the volume should have. More + info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#access-modes-1' + items: + type: string + type: array + dataSource: + description: 'dataSource field can be used + to specify either: * An existing VolumeSnapshot + object (snapshot.storage.k8s.io/VolumeSnapshot) + * An existing PVC (PersistentVolumeClaim) + If the provisioner or an external controller + can support the specified data source, + it will create a new volume based on the + contents of the specified data source. + When the AnyVolumeDataSource feature gate + is enabled, dataSource contents will be + copied to dataSourceRef, and dataSourceRef + contents will be copied to dataSource + when dataSourceRef.namespace is not specified. + If the namespace is specified, then dataSourceRef + will not be copied to dataSource.' + properties: + apiGroup: + description: APIGroup is the group for + the resource being referenced. If + APIGroup is not specified, the specified + Kind must be in the core API group. + For any other third-party types, APIGroup + is required. + type: string + kind: + description: Kind is the type of resource + being referenced + type: string + name: + description: Name is the name of resource + being referenced + type: string + required: + - kind + - name + type: object + x-kubernetes-map-type: atomic + dataSourceRef: + description: 'dataSourceRef specifies the + object from which to populate the volume + with data, if a non-empty volume is desired. + This may be any object from a non-empty + API group (non core object) or a PersistentVolumeClaim + object. When this field is specified, + volume binding will only succeed if the + type of the specified object matches some + installed volume populator or dynamic + provisioner. This field will replace the + functionality of the dataSource field + and as such if both fields are non-empty, + they must have the same value. For backwards + compatibility, when namespace isn''t specified + in dataSourceRef, both fields (dataSource + and dataSourceRef) will be set to the + same value automatically if one of them + is empty and the other is non-empty. When + namespace is specified in dataSourceRef, + dataSource isn''t set to the same value + and must be empty. There are three important + differences between dataSource and dataSourceRef: + * While dataSource only allows two specific + types of objects, dataSourceRef allows + any non-core object, as well as PersistentVolumeClaim + objects. * While dataSource ignores disallowed + values (dropping them), dataSourceRef + preserves all values, and generates an + error if a disallowed value is specified. + * While dataSource only allows local objects, + dataSourceRef allows objects in any namespaces. + (Beta) Using this field requires the AnyVolumeDataSource + feature gate to be enabled. (Alpha) Using + the namespace field of dataSourceRef requires + the CrossNamespaceVolumeDataSource feature + gate to be enabled.' + properties: + apiGroup: + description: APIGroup is the group for + the resource being referenced. If + APIGroup is not specified, the specified + Kind must be in the core API group. + For any other third-party types, APIGroup + is required. + type: string + kind: + description: Kind is the type of resource + being referenced + type: string + name: + description: Name is the name of resource + being referenced + type: string + namespace: + description: Namespace is the namespace + of resource being referenced Note + that when a namespace is specified, + a gateway.networking.k8s.io/ReferenceGrant + object is required in the referent + namespace to allow that namespace's + owner to accept the reference. See + the ReferenceGrant documentation for + details. (Alpha) This field requires + the CrossNamespaceVolumeDataSource + feature gate to be enabled. + type: string + required: + - kind + - name + type: object + resources: + description: 'resources represents the minimum + resources the volume should have. If RecoverVolumeExpansionFailure + feature is enabled users are allowed to + specify resource requirements that are + lower than previous value but must still + be higher than capacity recorded in the + status field of the claim. More info: + https://kubernetes.io/docs/concepts/storage/persistent-volumes#resources' + properties: + claims: + description: "Claims lists the names + of resources, defined in spec.resourceClaims, + that are used by this container. \n + This is an alpha field and requires + enabling the DynamicResourceAllocation + feature gate. \n This field is immutable. + It can only be set for containers." + items: + description: ResourceClaim references + one entry in PodSpec.ResourceClaims. + properties: + name: + description: Name must match the + name of one entry in pod.spec.resourceClaims + of the Pod where this field + is used. It makes that resource + available inside a container. + type: string + required: + - name + type: object + type: array + x-kubernetes-list-map-keys: + - name + x-kubernetes-list-type: map + limits: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Limits describes the maximum + amount of compute resources allowed. + More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + requests: + additionalProperties: + anyOf: + - type: integer + - type: string + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + description: 'Requests describes the + minimum amount of compute resources + required. If Requests is omitted for + a container, it defaults to Limits + if that is explicitly specified, otherwise + to an implementation-defined value. + Requests cannot exceed Limits. More + info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/' + type: object + type: object + selector: + description: selector is a label query over + volumes to consider for binding. + properties: + matchExpressions: + description: matchExpressions is a list + of label selector requirements. The + requirements are ANDed. + items: + description: A label selector requirement + is a selector that contains values, + a key, and an operator that relates + the key and values. + properties: + key: + description: key is the label + key that the selector applies + to. + type: string + operator: + description: operator represents + a key's relationship to a set + of values. Valid operators are + In, NotIn, Exists and DoesNotExist. + type: string + values: + description: values is an array + of string values. If the operator + is In or NotIn, the values array + must be non-empty. If the operator + is Exists or DoesNotExist, the + values array must be empty. + This array is replaced during + a strategic merge patch. + items: + type: string + type: array + required: + - key + - operator + type: object + type: array + matchLabels: + additionalProperties: + type: string + description: matchLabels is a map of + {key,value} pairs. A single {key,value} + in the matchLabels map is equivalent + to an element of matchExpressions, + whose key field is "key", the operator + is "In", and the values array contains + only "value". The requirements are + ANDed. + type: object + type: object + x-kubernetes-map-type: atomic + storageClassName: + description: 'storageClassName is the name + of the StorageClass required by the claim. + More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#class-1' + type: string + volumeMode: + description: volumeMode defines what type + of volume is required by the claim. Value + of Filesystem is implied when not included + in claim spec. + type: string + volumeName: + description: volumeName is the binding reference + to the PersistentVolume backing this claim. + type: string + type: object + required: + - spec + type: object + type: object + fc: + description: fc represents a Fibre Channel resource + that is attached to a kubelet's host machine and then + exposed to the pod. + properties: + fsType: + description: 'fsType is the filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. TODO: how + do we prevent errors in the filesystem from compromising + the machine' + type: string + lun: + description: 'lun is Optional: FC target lun number' + format: int32 + type: integer + readOnly: + description: 'readOnly is Optional: Defaults to + false (read/write). ReadOnly here will force the + ReadOnly setting in VolumeMounts.' + type: boolean + targetWWNs: + description: 'targetWWNs is Optional: FC target + worldwide names (WWNs)' + items: + type: string + type: array + wwids: + description: 'wwids Optional: FC volume world wide + identifiers (wwids) Either wwids or combination + of targetWWNs and lun must be set, but not both + simultaneously.' + items: + type: string + type: array + type: object + flexVolume: + description: flexVolume represents a generic volume + resource that is provisioned/attached using an exec + based plugin. + properties: + driver: + description: driver is the name of the driver to + use for this volume. + type: string + fsType: + description: fsType is the filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". The + default filesystem depends on FlexVolume script. + type: string + options: + additionalProperties: + type: string + description: 'options is Optional: this field holds + extra command options if any.' + type: object + readOnly: + description: 'readOnly is Optional: defaults to + false (read/write). ReadOnly here will force the + ReadOnly setting in VolumeMounts.' + type: boolean + secretRef: + description: 'secretRef is Optional: secretRef is + reference to the secret object containing sensitive + information to pass to the plugin scripts. This + may be empty if no secret object is specified. + If the secret object contains more than one secret, + all secrets are passed to the plugin scripts.' + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + required: + - driver + type: object + flocker: + description: flocker represents a Flocker volume attached + to a kubelet's host machine. This depends on the Flocker + control service being running + properties: + datasetName: + description: datasetName is Name of the dataset + stored as metadata -> name on the dataset for + Flocker should be considered as deprecated + type: string + datasetUUID: + description: datasetUUID is the UUID of the dataset. + This is unique identifier of a Flocker dataset + type: string + type: object + gcePersistentDisk: + description: 'gcePersistentDisk represents a GCE Disk + resource that is attached to a kubelet''s host machine + and then exposed to the pod. More info: https://kubernetes.io/docs/concepts/storage/volumes#gcepersistentdisk' + properties: + fsType: + description: 'fsType is filesystem type of the volume + that you want to mount. Tip: Ensure that the filesystem + type is supported by the host operating system. + Examples: "ext4", "xfs", "ntfs". Implicitly inferred + to be "ext4" if unspecified. More info: https://kubernetes.io/docs/concepts/storage/volumes#gcepersistentdisk + TODO: how do we prevent errors in the filesystem + from compromising the machine' + type: string + partition: + description: 'partition is the partition in the + volume that you want to mount. If omitted, the + default is to mount by volume name. Examples: + For volume /dev/sda1, you specify the partition + as "1". Similarly, the volume partition for /dev/sda + is "0" (or you can leave the property empty). + More info: https://kubernetes.io/docs/concepts/storage/volumes#gcepersistentdisk' + format: int32 + type: integer + pdName: + description: 'pdName is unique name of the PD resource + in GCE. Used to identify the disk in GCE. More + info: https://kubernetes.io/docs/concepts/storage/volumes#gcepersistentdisk' + type: string + readOnly: + description: 'readOnly here will force the ReadOnly + setting in VolumeMounts. Defaults to false. More + info: https://kubernetes.io/docs/concepts/storage/volumes#gcepersistentdisk' + type: boolean + required: + - pdName + type: object + gitRepo: + description: 'gitRepo represents a git repository at + a particular revision. DEPRECATED: GitRepo is deprecated. + To provision a container with a git repo, mount an + EmptyDir into an InitContainer that clones the repo + using git, then mount the EmptyDir into the Pod''s + container.' + properties: + directory: + description: directory is the target directory name. + Must not contain or start with '..'. If '.' is + supplied, the volume directory will be the git + repository. Otherwise, if specified, the volume + will contain the git repository in the subdirectory + with the given name. + type: string + repository: + description: repository is the URL + type: string + revision: + description: revision is the commit hash for the + specified revision. + type: string + required: + - repository + type: object + glusterfs: + description: 'glusterfs represents a Glusterfs mount + on the host that shares a pod''s lifetime. More info: + https://examples.k8s.io/volumes/glusterfs/README.md' + properties: + endpoints: + description: 'endpoints is the endpoint name that + details Glusterfs topology. More info: https://examples.k8s.io/volumes/glusterfs/README.md#create-a-pod' + type: string + path: + description: 'path is the Glusterfs volume path. + More info: https://examples.k8s.io/volumes/glusterfs/README.md#create-a-pod' + type: string + readOnly: + description: 'readOnly here will force the Glusterfs + volume to be mounted with read-only permissions. + Defaults to false. More info: https://examples.k8s.io/volumes/glusterfs/README.md#create-a-pod' + type: boolean + required: + - endpoints + - path + type: object + hostPath: + description: 'hostPath represents a pre-existing file + or directory on the host machine that is directly + exposed to the container. This is generally used for + system agents or other privileged things that are + allowed to see the host machine. Most containers will + NOT need this. More info: https://kubernetes.io/docs/concepts/storage/volumes#hostpath + --- TODO(jonesdl) We need to restrict who can use + host directory mounts and who can/can not mount host + directories as read/write.' + properties: + path: + description: 'path of the directory on the host. + If the path is a symlink, it will follow the link + to the real path. More info: https://kubernetes.io/docs/concepts/storage/volumes#hostpath' + type: string + type: + description: 'type for HostPath Volume Defaults + to "" More info: https://kubernetes.io/docs/concepts/storage/volumes#hostpath' + type: string + required: + - path + type: object + iscsi: + description: 'iscsi represents an ISCSI Disk resource + that is attached to a kubelet''s host machine and + then exposed to the pod. More info: https://examples.k8s.io/volumes/iscsi/README.md' + properties: + chapAuthDiscovery: + description: chapAuthDiscovery defines whether support + iSCSI Discovery CHAP authentication + type: boolean + chapAuthSession: + description: chapAuthSession defines whether support + iSCSI Session CHAP authentication + type: boolean + fsType: + description: 'fsType is the filesystem type of the + volume that you want to mount. Tip: Ensure that + the filesystem type is supported by the host operating + system. Examples: "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. More info: + https://kubernetes.io/docs/concepts/storage/volumes#iscsi + TODO: how do we prevent errors in the filesystem + from compromising the machine' + type: string + initiatorName: + description: initiatorName is the custom iSCSI Initiator + Name. If initiatorName is specified with iscsiInterface + simultaneously, new iSCSI interface : will be created for the connection. + type: string + iqn: + description: iqn is the target iSCSI Qualified Name. + type: string + iscsiInterface: + description: iscsiInterface is the interface Name + that uses an iSCSI transport. Defaults to 'default' + (tcp). + type: string + lun: + description: lun represents iSCSI Target Lun number. + format: int32 + type: integer + portals: + description: portals is the iSCSI Target Portal + List. The portal is either an IP or ip_addr:port + if the port is other than default (typically TCP + ports 860 and 3260). + items: + type: string + type: array + readOnly: + description: readOnly here will force the ReadOnly + setting in VolumeMounts. Defaults to false. + type: boolean + secretRef: + description: secretRef is the CHAP Secret for iSCSI + target and initiator authentication + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + targetPortal: + description: targetPortal is iSCSI Target Portal. + The Portal is either an IP or ip_addr:port if + the port is other than default (typically TCP + ports 860 and 3260). + type: string + required: + - iqn + - lun + - targetPortal + type: object + name: + description: 'name of the volume. Must be a DNS_LABEL + and unique within the pod. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names' + type: string + nfs: + description: 'nfs represents an NFS mount on the host + that shares a pod''s lifetime More info: https://kubernetes.io/docs/concepts/storage/volumes#nfs' + properties: + path: + description: 'path that is exported by the NFS server. + More info: https://kubernetes.io/docs/concepts/storage/volumes#nfs' + type: string + readOnly: + description: 'readOnly here will force the NFS export + to be mounted with read-only permissions. Defaults + to false. More info: https://kubernetes.io/docs/concepts/storage/volumes#nfs' + type: boolean + server: + description: 'server is the hostname or IP address + of the NFS server. More info: https://kubernetes.io/docs/concepts/storage/volumes#nfs' + type: string + required: + - path + - server + type: object + persistentVolumeClaim: + description: 'persistentVolumeClaimVolumeSource represents + a reference to a PersistentVolumeClaim in the same + namespace. More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims' + properties: + claimName: + description: 'claimName is the name of a PersistentVolumeClaim + in the same namespace as the pod using this volume. + More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims' + type: string + readOnly: + description: readOnly Will force the ReadOnly setting + in VolumeMounts. Default false. + type: boolean + required: + - claimName + type: object + photonPersistentDisk: + description: photonPersistentDisk represents a PhotonController + persistent disk attached and mounted on kubelets host + machine + properties: + fsType: + description: fsType is the filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. + type: string + pdID: + description: pdID is the ID that identifies Photon + Controller persistent disk + type: string + required: + - pdID + type: object + portworxVolume: + description: portworxVolume represents a portworx volume + attached and mounted on kubelets host machine + properties: + fsType: + description: fSType represents the filesystem type + to mount Must be a filesystem type supported by + the host operating system. Ex. "ext4", "xfs". + Implicitly inferred to be "ext4" if unspecified. + type: string + readOnly: + description: readOnly defaults to false (read/write). + ReadOnly here will force the ReadOnly setting + in VolumeMounts. + type: boolean + volumeID: + description: volumeID uniquely identifies a Portworx + volume + type: string + required: + - volumeID + type: object + projected: + description: projected items for all in one resources + secrets, configmaps, and downward API + properties: + defaultMode: + description: defaultMode are the mode bits used + to set permissions on created files by default. + Must be an octal value between 0000 and 0777 or + a decimal value between 0 and 511. YAML accepts + both octal and decimal values, JSON requires decimal + values for mode bits. Directories within the path + are not affected by this setting. This might be + in conflict with other options that affect the + file mode, like fsGroup, and the result can be + other mode bits set. + format: int32 + type: integer + sources: + description: sources is the list of volume projections + items: + description: Projection that may be projected + along with other supported volume types + properties: + configMap: + description: configMap information about the + configMap data to project + properties: + items: + description: items if unspecified, each + key-value pair in the Data field of + the referenced ConfigMap will be projected + into the volume as a file whose name + is the key and content is the value. + If specified, the listed keys will be + projected into the specified paths, + and unlisted keys will not be present. + If a key is specified which is not present + in the ConfigMap, the volume setup will + error unless it is marked optional. + Paths must be relative and may not contain + the '..' path or start with '..'. + items: + description: Maps a string key to a + path within a volume. + properties: + key: + description: key is the key to project. + type: string + mode: + description: 'mode is Optional: + mode bits used to set permissions + on this file. Must be an octal + value between 0000 and 0777 or + a decimal value between 0 and + 511. YAML accepts both octal and + decimal values, JSON requires + decimal values for mode bits. + If not specified, the volume defaultMode + will be used. This might be in + conflict with other options that + affect the file mode, like fsGroup, + and the result can be other mode + bits set.' + format: int32 + type: integer + path: + description: path is the relative + path of the file to map the key + to. May not be an absolute path. + May not contain the path element + '..'. May not start with the string + '..'. + type: string + required: + - key + - path + type: object + type: array + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: optional specify whether + the ConfigMap or its keys must be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + downwardAPI: + description: downwardAPI information about + the downwardAPI data to project + properties: + items: + description: Items is a list of DownwardAPIVolume + file + items: + description: DownwardAPIVolumeFile represents + information to create the file containing + the pod field + properties: + fieldRef: + description: 'Required: Selects + a field of the pod: only annotations, + labels, name and namespace are + supported.' + properties: + apiVersion: + description: Version of the + schema the FieldPath is written + in terms of, defaults to "v1". + type: string + fieldPath: + description: Path of the field + to select in the specified + API version. + type: string + required: + - fieldPath + type: object + x-kubernetes-map-type: atomic + mode: + description: 'Optional: mode bits + used to set permissions on this + file, must be an octal value between + 0000 and 0777 or a decimal value + between 0 and 511. YAML accepts + both octal and decimal values, + JSON requires decimal values for + mode bits. If not specified, the + volume defaultMode will be used. + This might be in conflict with + other options that affect the + file mode, like fsGroup, and the + result can be other mode bits + set.' + format: int32 + type: integer + path: + description: 'Required: Path is the + relative path name of the file + to be created. Must not be absolute + or contain the ''..'' path. Must + be utf-8 encoded. The first item + of the relative path must not + start with ''..''' + type: string + resourceFieldRef: + description: 'Selects a resource + of the container: only resources + limits and requests (limits.cpu, + limits.memory, requests.cpu and + requests.memory) are currently + supported.' + properties: + containerName: + description: 'Container name: + required for volumes, optional + for env vars' + type: string + divisor: + anyOf: + - type: integer + - type: string + description: Specifies the output + format of the exposed resources, + defaults to "1" + pattern: ^(\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))(([KMGTPE]i)|[numkMGTPE]|([eE](\+|-)?(([0-9]+(\.[0-9]*)?)|(\.[0-9]+))))?$ + x-kubernetes-int-or-string: true + resource: + description: 'Required: resource + to select' + type: string + required: + - resource + type: object + x-kubernetes-map-type: atomic + required: + - path + type: object + type: array + type: object + secret: + description: secret information about the + secret data to project + properties: + items: + description: items if unspecified, each + key-value pair in the Data field of + the referenced Secret will be projected + into the volume as a file whose name + is the key and content is the value. + If specified, the listed keys will be + projected into the specified paths, + and unlisted keys will not be present. + If a key is specified which is not present + in the Secret, the volume setup will + error unless it is marked optional. + Paths must be relative and may not contain + the '..' path or start with '..'. + items: + description: Maps a string key to a + path within a volume. + properties: + key: + description: key is the key to project. + type: string + mode: + description: 'mode is Optional: + mode bits used to set permissions + on this file. Must be an octal + value between 0000 and 0777 or + a decimal value between 0 and + 511. YAML accepts both octal and + decimal values, JSON requires + decimal values for mode bits. + If not specified, the volume defaultMode + will be used. This might be in + conflict with other options that + affect the file mode, like fsGroup, + and the result can be other mode + bits set.' + format: int32 + type: integer + path: + description: path is the relative + path of the file to map the key + to. May not be an absolute path. + May not contain the path element + '..'. May not start with the string + '..'. + type: string + required: + - key + - path + type: object + type: array + name: + description: 'Name of the referent. More + info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + optional: + description: optional field specify whether + the Secret or its key must be defined + type: boolean + type: object + x-kubernetes-map-type: atomic + serviceAccountToken: + description: serviceAccountToken is information + about the serviceAccountToken data to project + properties: + audience: + description: audience is the intended + audience of the token. A recipient of + a token must identify itself with an + identifier specified in the audience + of the token, and otherwise should reject + the token. The audience defaults to + the identifier of the apiserver. + type: string + expirationSeconds: + description: expirationSeconds is the + requested duration of validity of the + service account token. As the token + approaches expiration, the kubelet volume + plugin will proactively rotate the service + account token. The kubelet will start + trying to rotate the token if the token + is older than 80 percent of its time + to live or if the token is older than + 24 hours.Defaults to 1 hour and must + be at least 10 minutes. + format: int64 + type: integer + path: + description: path is the path relative + to the mount point of the file to project + the token into. + type: string + required: + - path + type: object + type: object + type: array + type: object + quobyte: + description: quobyte represents a Quobyte mount on the + host that shares a pod's lifetime + properties: + group: + description: group to map volume access to Default + is no group + type: string + readOnly: + description: readOnly here will force the Quobyte + volume to be mounted with read-only permissions. + Defaults to false. + type: boolean + registry: + description: registry represents a single or multiple + Quobyte Registry services specified as a string + as host:port pair (multiple entries are separated + with commas) which acts as the central registry + for volumes + type: string + tenant: + description: tenant owning the given Quobyte volume + in the Backend Used with dynamically provisioned + Quobyte volumes, value is set by the plugin + type: string + user: + description: user to map volume access to Defaults + to serivceaccount user + type: string + volume: + description: volume is a string that references + an already created Quobyte volume by name. + type: string + required: + - registry + - volume + type: object + rbd: + description: 'rbd represents a Rados Block Device mount + on the host that shares a pod''s lifetime. More info: + https://examples.k8s.io/volumes/rbd/README.md' + properties: + fsType: + description: 'fsType is the filesystem type of the + volume that you want to mount. Tip: Ensure that + the filesystem type is supported by the host operating + system. Examples: "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. More info: + https://kubernetes.io/docs/concepts/storage/volumes#rbd + TODO: how do we prevent errors in the filesystem + from compromising the machine' + type: string + image: + description: 'image is the rados image name. More + info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + type: string + keyring: + description: 'keyring is the path to key ring for + RBDUser. Default is /etc/ceph/keyring. More info: + https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + type: string + monitors: + description: 'monitors is a collection of Ceph monitors. + More info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + items: + type: string + type: array + pool: + description: 'pool is the rados pool name. Default + is rbd. More info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + type: string + readOnly: + description: 'readOnly here will force the ReadOnly + setting in VolumeMounts. Defaults to false. More + info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + type: boolean + secretRef: + description: 'secretRef is name of the authentication + secret for RBDUser. If provided overrides keyring. + Default is nil. More info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + user: + description: 'user is the rados user name. Default + is admin. More info: https://examples.k8s.io/volumes/rbd/README.md#how-to-use-it' + type: string + required: + - image + - monitors + type: object + scaleIO: + description: scaleIO represents a ScaleIO persistent + volume attached and mounted on Kubernetes nodes. + properties: + fsType: + description: fsType is the filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". Default + is "xfs". + type: string + gateway: + description: gateway is the host address of the + ScaleIO API Gateway. + type: string + protectionDomain: + description: protectionDomain is the name of the + ScaleIO Protection Domain for the configured storage. + type: string + readOnly: + description: readOnly Defaults to false (read/write). + ReadOnly here will force the ReadOnly setting + in VolumeMounts. + type: boolean + secretRef: + description: secretRef references to the secret + for ScaleIO user and other sensitive information. + If this is not provided, Login operation will + fail. + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + sslEnabled: + description: sslEnabled Flag enable/disable SSL + communication with Gateway, default false + type: boolean + storageMode: + description: storageMode indicates whether the storage + for a volume should be ThickProvisioned or ThinProvisioned. + Default is ThinProvisioned. + type: string + storagePool: + description: storagePool is the ScaleIO Storage + Pool associated with the protection domain. + type: string + system: + description: system is the name of the storage system + as configured in ScaleIO. + type: string + volumeName: + description: volumeName is the name of a volume + already created in the ScaleIO system that is + associated with this volume source. + type: string + required: + - gateway + - secretRef + - system + type: object + secret: + description: 'secret represents a secret that should + populate this volume. More info: https://kubernetes.io/docs/concepts/storage/volumes#secret' + properties: + defaultMode: + description: 'defaultMode is Optional: mode bits + used to set permissions on created files by default. + Must be an octal value between 0000 and 0777 or + a decimal value between 0 and 511. YAML accepts + both octal and decimal values, JSON requires decimal + values for mode bits. Defaults to 0644. Directories + within the path are not affected by this setting. + This might be in conflict with other options that + affect the file mode, like fsGroup, and the result + can be other mode bits set.' + format: int32 + type: integer + items: + description: items If unspecified, each key-value + pair in the Data field of the referenced Secret + will be projected into the volume as a file whose + name is the key and content is the value. If specified, + the listed keys will be projected into the specified + paths, and unlisted keys will not be present. + If a key is specified which is not present in + the Secret, the volume setup will error unless + it is marked optional. Paths must be relative + and may not contain the '..' path or start with + '..'. + items: + description: Maps a string key to a path within + a volume. + properties: + key: + description: key is the key to project. + type: string + mode: + description: 'mode is Optional: mode bits + used to set permissions on this file. Must + be an octal value between 0000 and 0777 + or a decimal value between 0 and 511. YAML + accepts both octal and decimal values, JSON + requires decimal values for mode bits. If + not specified, the volume defaultMode will + be used. This might be in conflict with + other options that affect the file mode, + like fsGroup, and the result can be other + mode bits set.' + format: int32 + type: integer + path: + description: path is the relative path of + the file to map the key to. May not be an + absolute path. May not contain the path + element '..'. May not start with the string + '..'. + type: string + required: + - key + - path + type: object + type: array + optional: + description: optional field specify whether the + Secret or its keys must be defined + type: boolean + secretName: + description: 'secretName is the name of the secret + in the pod''s namespace to use. More info: https://kubernetes.io/docs/concepts/storage/volumes#secret' + type: string + type: object + storageos: + description: storageOS represents a StorageOS volume + attached and mounted on Kubernetes nodes. + properties: + fsType: + description: fsType is the filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. + type: string + readOnly: + description: readOnly defaults to false (read/write). + ReadOnly here will force the ReadOnly setting + in VolumeMounts. + type: boolean + secretRef: + description: secretRef specifies the secret to use + for obtaining the StorageOS API credentials. If + not specified, default values will be attempted. + properties: + name: + description: 'Name of the referent. More info: + https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names + TODO: Add other useful fields. apiVersion, + kind, uid?' + type: string + type: object + x-kubernetes-map-type: atomic + volumeName: + description: volumeName is the human-readable name + of the StorageOS volume. Volume names are only + unique within a namespace. + type: string + volumeNamespace: + description: volumeNamespace specifies the scope + of the volume within StorageOS. If no namespace + is specified then the Pod's namespace will be + used. This allows the Kubernetes name scoping + to be mirrored within StorageOS for tighter integration. + Set VolumeName to any name to override the default + behaviour. Set to "default" if you are not using + namespaces within StorageOS. Namespaces that do + not pre-exist within StorageOS will be created. + type: string + type: object + vsphereVolume: + description: vsphereVolume represents a vSphere volume + attached and mounted on kubelets host machine + properties: + fsType: + description: fsType is filesystem type to mount. + Must be a filesystem type supported by the host + operating system. Ex. "ext4", "xfs", "ntfs". Implicitly + inferred to be "ext4" if unspecified. + type: string + storagePolicyID: + description: storagePolicyID is the storage Policy + Based Management (SPBM) profile ID associated + with the StoragePolicyName. + type: string + storagePolicyName: + description: storagePolicyName is the storage Policy + Based Management (SPBM) profile name. + type: string + volumePath: + description: volumePath is the path that identifies + vSphere volume vmdk + type: string + required: + - volumePath + type: object + required: + - name + type: object + type: array + required: + - containers + type: object + type: object + username: + description: userinfo + type: string + vocabulary_size: + description: vocabulary_size + items: + type: integer + type: array + required: + - batch_size + - macs + - params + - running_type + - username + type: object + status: + description: RecommendDLJobStatus defines the observed state of RecommendDLJob + properties: + phase: + description: status phase + enum: + - Initial + - Pending + - Running + - Finished + - Failed + type: string + pod_names: + description: pods names + items: + type: string + type: array + uuid: + description: job uuid + type: string + required: + - phase + - pod_names + - uuid + type: object + type: object + served: true + storage: true + subresources: + status: {} diff --git a/crd-controller/config/crd/kustomization.yaml b/crd-controller/config/crd/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0604a8413feab3780ed0013b98e0e38008e3f16c --- /dev/null +++ b/crd-controller/config/crd/kustomization.yaml @@ -0,0 +1,24 @@ +# This kustomization.yaml is not intended to be run by itself, +# since it depends on service name and namespace that are out of this kustomize package. +# It should be run by config/default +resources: +- bases/kube-gpu-sparse.kube-gpu-sparse.io_recommenddljobs.yaml +- bases/kube-gpu-sparse.kube-gpu-sparse.io_datasets.yaml +#+kubebuilder:scaffold:crdkustomizeresource + +patches: +# [WEBHOOK] To enable webhook, uncomment all the sections with [WEBHOOK] prefix. +# patches here are for enabling the conversion webhook for each CRD +#- path: patches/webhook_in_recommenddljobs.yaml +#- path: patches/webhook_in_datasets.yaml +#+kubebuilder:scaffold:crdkustomizewebhookpatch + +# [CERTMANAGER] To enable cert-manager, uncomment all the sections with [CERTMANAGER] prefix. +# patches here are for enabling the CA injection for each CRD +#- path: patches/cainjection_in_recommenddljobs.yaml +#- path: patches/cainjection_in_datasets.yaml +#+kubebuilder:scaffold:crdkustomizecainjectionpatch + +# the following config is for teaching kustomize how to do kustomization for CRDs. +configurations: +- kustomizeconfig.yaml diff --git a/crd-controller/config/crd/kustomizeconfig.yaml b/crd-controller/config/crd/kustomizeconfig.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ec5c150a9df257f152db0dbe2fbab375c1c1156b --- /dev/null +++ b/crd-controller/config/crd/kustomizeconfig.yaml @@ -0,0 +1,19 @@ +# This file is for teaching kustomize how to substitute name and namespace reference in CRD +nameReference: +- kind: Service + version: v1 + fieldSpecs: + - kind: CustomResourceDefinition + version: v1 + group: apiextensions.k8s.io + path: spec/conversion/webhook/clientConfig/service/name + +namespace: +- kind: CustomResourceDefinition + version: v1 + group: apiextensions.k8s.io + path: spec/conversion/webhook/clientConfig/service/namespace + create: false + +varReference: +- path: metadata/annotations diff --git a/crd-controller/config/crd/patches/cainjection_in_datasets.yaml b/crd-controller/config/crd/patches/cainjection_in_datasets.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9389a81f5eeef2282c17dcb512d9d9fd4b9f2f7c --- /dev/null +++ b/crd-controller/config/crd/patches/cainjection_in_datasets.yaml @@ -0,0 +1,7 @@ +# The following patch adds a directive for certmanager to inject CA into the CRD +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + annotations: + cert-manager.io/inject-ca-from: CERTIFICATE_NAMESPACE/CERTIFICATE_NAME + name: datasets.kube-gpu-sparse.kube-gpu-sparse.io diff --git a/crd-controller/config/crd/patches/cainjection_in_recommenddljobs.yaml b/crd-controller/config/crd/patches/cainjection_in_recommenddljobs.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8d7759bd67475a3b7852541509c27a0f3f188faa --- /dev/null +++ b/crd-controller/config/crd/patches/cainjection_in_recommenddljobs.yaml @@ -0,0 +1,7 @@ +# The following patch adds a directive for certmanager to inject CA into the CRD +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + annotations: + cert-manager.io/inject-ca-from: CERTIFICATE_NAMESPACE/CERTIFICATE_NAME + name: recommenddljobs.kube-gpu-sparse.kube-gpu-sparse.io diff --git a/crd-controller/config/crd/patches/webhook_in_datasets.yaml b/crd-controller/config/crd/patches/webhook_in_datasets.yaml new file mode 100644 index 0000000000000000000000000000000000000000..692a44f8622cf5463ecf4ac776fd5404c7305dba --- /dev/null +++ b/crd-controller/config/crd/patches/webhook_in_datasets.yaml @@ -0,0 +1,16 @@ +# The following patch enables a conversion webhook for the CRD +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + name: datasets.kube-gpu-sparse.kube-gpu-sparse.io +spec: + conversion: + strategy: Webhook + webhook: + clientConfig: + service: + namespace: system + name: webhook-service + path: /convert + conversionReviewVersions: + - v1 diff --git a/crd-controller/config/crd/patches/webhook_in_recommenddljobs.yaml b/crd-controller/config/crd/patches/webhook_in_recommenddljobs.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2902f18fb561753877d9cbfc364f11edd74dcaaa --- /dev/null +++ b/crd-controller/config/crd/patches/webhook_in_recommenddljobs.yaml @@ -0,0 +1,16 @@ +# The following patch enables a conversion webhook for the CRD +apiVersion: apiextensions.k8s.io/v1 +kind: CustomResourceDefinition +metadata: + name: recommenddljobs.kube-gpu-sparse.kube-gpu-sparse.io +spec: + conversion: + strategy: Webhook + webhook: + clientConfig: + service: + namespace: system + name: webhook-service + path: /convert + conversionReviewVersions: + - v1 diff --git a/crd-controller/config/default/kustomization.yaml b/crd-controller/config/default/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9dca27a773b793a9c58919add66c307ec721cc08 --- /dev/null +++ b/crd-controller/config/default/kustomization.yaml @@ -0,0 +1,141 @@ +# Adds namespace to all resources. +namespace: kube-gpu-sparse-controller + +# Value of this field is prepended to the +# names of all resources, e.g. a deployment named +# "wordpress" becomes "alices-wordpress". +# Note that it should also match with the prefix (text before '-') of the namespace +# field above. +namePrefix: kube-gpu-sparse- + +# Labels to add to all resources and selectors. +#labels: +#- includeSelectors: true +# pairs: +# someName: someValue + +resources: + - ../crd + - ../rbac + - ../manager +# [WEBHOOK] To enable webhook, uncomment all the sections with [WEBHOOK] prefix including the one in +# crd/kustomization.yaml +#- ../webhook +# [CERTMANAGER] To enable cert-manager, uncomment all sections with 'CERTMANAGER'. 'WEBHOOK' components are required. +#- ../certmanager +# [PROMETHEUS] To enable prometheus monitor, uncomment all sections with 'PROMETHEUS'. +#- ../prometheus + +patchesStrategicMerge: + # Protect the /metrics endpoint by putting it behind auth. + # If you want your controller-manager to expose the /metrics + # endpoint w/o any authn/z, please comment the following line. + - manager_auth_proxy_patch.yaml +# [WEBHOOK] To enable webhook, uncomment all the sections with [WEBHOOK] prefix including the one in +# crd/kustomization.yaml +#- manager_webhook_patch.yaml + +# [CERTMANAGER] To enable cert-manager, uncomment all sections with 'CERTMANAGER'. +# Uncomment 'CERTMANAGER' sections in crd/kustomization.yaml to enable the CA injection in the admission webhooks. +# 'CERTMANAGER' needs to be enabled to use ca injection +#- webhookcainjection_patch.yaml + +# [CERTMANAGER] To enable cert-manager, uncomment all sections with 'CERTMANAGER' prefix. +# Uncomment the following replacements to add the cert-manager CA injection annotations +#replacements: +# - source: # Add cert-manager annotation to ValidatingWebhookConfiguration, MutatingWebhookConfiguration and CRDs +# kind: Certificate +# group: cert-manager.io +# version: v1 +# name: serving-cert # this name should match the one in certificate.yaml +# fieldPath: .metadata.namespace # namespace of the certificate CR +# targets: +# - select: +# kind: ValidatingWebhookConfiguration +# fieldPaths: +# - .metadata.annotations.[cert-manager.io/inject-ca-from] +# options: +# delimiter: '/' +# index: 0 +# create: true +# - select: +# kind: MutatingWebhookConfiguration +# fieldPaths: +# - .metadata.annotations.[cert-manager.io/inject-ca-from] +# options: +# delimiter: '/' +# index: 0 +# create: true +# - select: +# kind: CustomResourceDefinition +# fieldPaths: +# - .metadata.annotations.[cert-manager.io/inject-ca-from] +# options: +# delimiter: '/' +# index: 0 +# create: true +# - source: +# kind: Certificate +# group: cert-manager.io +# version: v1 +# name: serving-cert # this name should match the one in certificate.yaml +# fieldPath: .metadata.name +# targets: +# - select: +# kind: ValidatingWebhookConfiguration +# fieldPaths: +# - .metadata.annotations.[cert-manager.io/inject-ca-from] +# options: +# delimiter: '/' +# index: 1 +# create: true +# - select: +# kind: MutatingWebhookConfiguration +# fieldPaths: +# - .metadata.annotations.[cert-manager.io/inject-ca-from] +# options: +# delimiter: '/' +# index: 1 +# create: true +# - select: +# kind: CustomResourceDefinition +# fieldPaths: +# - .metadata.annotations.[cert-manager.io/inject-ca-from] +# options: +# delimiter: '/' +# index: 1 +# create: true +# - source: # Add cert-manager annotation to the webhook Service +# kind: Service +# version: v1 +# name: webhook-service +# fieldPath: .metadata.name # namespace of the service +# targets: +# - select: +# kind: Certificate +# group: cert-manager.io +# version: v1 +# fieldPaths: +# - .spec.dnsNames.0 +# - .spec.dnsNames.1 +# options: +# delimiter: '.' +# index: 0 +# create: true +# - source: +# kind: Service +# version: v1 +# name: webhook-service +# fieldPath: .metadata.namespace # namespace of the service +# targets: +# - select: +# kind: Certificate +# group: cert-manager.io +# version: v1 +# fieldPaths: +# - .spec.dnsNames.0 +# - .spec.dnsNames.1 +# options: +# delimiter: '.' +# index: 1 +# create: true diff --git a/crd-controller/config/default/manager_auth_proxy_patch.yaml b/crd-controller/config/default/manager_auth_proxy_patch.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ba77383f7c2a3f85e240aaba47395e6d6255fdfe --- /dev/null +++ b/crd-controller/config/default/manager_auth_proxy_patch.yaml @@ -0,0 +1,41 @@ +# This patch inject a sidecar container which is a HTTP proxy for the +# controller manager, it performs RBAC authorization against the Kubernetes API using SubjectAccessReviews. +apiVersion: apps/v1 +kind: Deployment +metadata: + name: controller-manager + namespace: kube-gpu-sparse-controller +spec: + template: + spec: + imagePullSecrets: + - name: aliyun-docker-registry + containers: + - name: kube-rbac-proxy + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: + - "ALL" + image: crpi-n6whjwiqnzcdcg4s.cn-beijing.personal.cr.aliyuncs.com/crater-harbor/kubebuilder-kube-rbac-proxy:v0.15.0 + args: + - "--secure-listen-address=0.0.0.0:8443" + - "--upstream=http://127.0.0.1:8080/" + - "--logtostderr=true" + - "--v=0" + ports: + - containerPort: 8443 + protocol: TCP + name: https + resources: + limits: + cpu: 500m + memory: 128Mi + requests: + cpu: 5m + memory: 64Mi + - name: manager + args: + - "--health-probe-bind-address=:8081" + - "--metrics-bind-address=127.0.0.1:8080" + - "--leader-elect" diff --git a/crd-controller/config/default/manager_config_patch.yaml b/crd-controller/config/default/manager_config_patch.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f6f58916922f62fa4d00d86846bee27eafb3c05d --- /dev/null +++ b/crd-controller/config/default/manager_config_patch.yaml @@ -0,0 +1,10 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: controller-manager + namespace: system +spec: + template: + spec: + containers: + - name: manager diff --git a/crd-controller/config/manager/kustomization.yaml b/crd-controller/config/manager/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..467ada58647da2b0f73c3c7e564fee38bf6b75dc --- /dev/null +++ b/crd-controller/config/manager/kustomization.yaml @@ -0,0 +1,8 @@ +resources: + - manager.yaml +apiVersion: kustomize.config.k8s.io/v1beta1 +kind: Kustomization +images: + - name: controller + newName: crpi-n6whjwiqnzcdcg4s.cn-beijing.personal.cr.aliyuncs.com/crater-harbor/crd-controller + newTag: v0.23.2 diff --git a/crd-controller/config/manager/manager.yaml b/crd-controller/config/manager/manager.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b0a46b59c1c3b78ce8db9633697dde9ee1dc8de3 --- /dev/null +++ b/crd-controller/config/manager/manager.yaml @@ -0,0 +1,104 @@ +apiVersion: v1 +kind: Namespace +metadata: + labels: + control-plane: controller-manager + app.kubernetes.io/name: namespace + app.kubernetes.io/instance: kube-gpu-sparse-controller + app.kubernetes.io/component: manager + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: kube-gpu-sparse-controller +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: controller-manager + namespace: kube-gpu-sparse-controller + labels: + control-plane: controller-manager + app.kubernetes.io/name: deployment + app.kubernetes.io/instance: controller-manager + app.kubernetes.io/component: manager + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize +spec: + selector: + matchLabels: + control-plane: controller-manager + replicas: 1 + template: + metadata: + annotations: + kubectl.kubernetes.io/default-container: manager + labels: + control-plane: controller-manager + spec: + # TODO(user): Uncomment the following code to configure the nodeAffinity expression + # according to the platforms which are supported by your solution. + # It is considered best practice to support multiple architectures. You can + # build your manager image using the makefile target docker-buildx. + # affinity: + # nodeAffinity: + # requiredDuringSchedulingIgnoredDuringExecution: + # nodeSelectorTerms: + # - matchExpressions: + # - key: kubernetes.io/arch + # operator: In + # values: + # - amd64 + # - arm64 + # - ppc64le + # - s390x + # - key: kubernetes.io/os + # operator: In + # values: + # - linux + securityContext: + runAsNonRoot: true + # TODO(user): For common cases that do not require escalating privileges + # it is recommended to ensure that all your Pods/Containers are restrictive. + # More info: https://kubernetes.io/docs/concepts/security/pod-security-standards/#restricted + # Please uncomment the following code if your project does NOT have to work on old Kubernetes + # versions < 1.19 or on vendors versions which do NOT support this field by default (i.e. Openshift < 4.11 ). + # seccompProfile: + # type: RuntimeDefault + imagePullSecrets: + - name: aliyun-docker-registry + containers: + - command: + - /manager + args: + - --leader-elect + image: controller:latest + name: manager + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: + - "ALL" + livenessProbe: + httpGet: + path: /healthz + port: 8081 + initialDelaySeconds: 15 + periodSeconds: 20 + readinessProbe: + httpGet: + path: /readyz + port: 8081 + initialDelaySeconds: 5 + periodSeconds: 10 + # TODO(user): Configure the resources accordingly based on the project requirements. + # More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/ + resources: + limits: + cpu: 500m + memory: 128Mi + requests: + cpu: 10m + memory: 64Mi + serviceAccountName: controller-manager + terminationGracePeriodSeconds: 10 diff --git a/crd-controller/config/prometheus/kustomization.yaml b/crd-controller/config/prometheus/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ed137168a1dbc962c3e057efce714960f8c5624c --- /dev/null +++ b/crd-controller/config/prometheus/kustomization.yaml @@ -0,0 +1,2 @@ +resources: +- monitor.yaml diff --git a/crd-controller/config/prometheus/monitor.yaml b/crd-controller/config/prometheus/monitor.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9b68fc7de978f69c63df04d7c8eabcd7652346a4 --- /dev/null +++ b/crd-controller/config/prometheus/monitor.yaml @@ -0,0 +1,26 @@ + +# Prometheus Monitor Service (Metrics) +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: + control-plane: controller-manager + app.kubernetes.io/name: servicemonitor + app.kubernetes.io/instance: controller-manager-metrics-monitor + app.kubernetes.io/component: metrics + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: controller-manager-metrics-monitor + namespace: system +spec: + endpoints: + - path: /metrics + port: https + scheme: https + bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token + tlsConfig: + insecureSkipVerify: true + selector: + matchLabels: + control-plane: controller-manager diff --git a/crd-controller/config/rbac/auth_proxy_client_clusterrole.yaml b/crd-controller/config/rbac/auth_proxy_client_clusterrole.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f054a406e9cc574073611adf46f110dbe8a19482 --- /dev/null +++ b/crd-controller/config/rbac/auth_proxy_client_clusterrole.yaml @@ -0,0 +1,16 @@ +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/name: clusterrole + app.kubernetes.io/instance: metrics-reader + app.kubernetes.io/component: kube-rbac-proxy + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: metrics-reader +rules: +- nonResourceURLs: + - "/metrics" + verbs: + - get diff --git a/crd-controller/config/rbac/auth_proxy_role.yaml b/crd-controller/config/rbac/auth_proxy_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..34dfc69dd6bbac16916e5294c8914a2a87911067 --- /dev/null +++ b/crd-controller/config/rbac/auth_proxy_role.yaml @@ -0,0 +1,24 @@ +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/name: clusterrole + app.kubernetes.io/instance: proxy-role + app.kubernetes.io/component: kube-rbac-proxy + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: proxy-role +rules: +- apiGroups: + - authentication.k8s.io + resources: + - tokenreviews + verbs: + - create +- apiGroups: + - authorization.k8s.io + resources: + - subjectaccessreviews + verbs: + - create diff --git a/crd-controller/config/rbac/auth_proxy_role_binding.yaml b/crd-controller/config/rbac/auth_proxy_role_binding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..73cd224c4e4ed97b4feeb6ecb499f6fb8f9f06a6 --- /dev/null +++ b/crd-controller/config/rbac/auth_proxy_role_binding.yaml @@ -0,0 +1,19 @@ +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + labels: + app.kubernetes.io/name: clusterrolebinding + app.kubernetes.io/instance: proxy-rolebinding + app.kubernetes.io/component: kube-rbac-proxy + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: proxy-rolebinding +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: proxy-role +subjects: + - kind: ServiceAccount + name: controller-manager + namespace: kube-gpu-sparse-controller diff --git a/crd-controller/config/rbac/auth_proxy_service.yaml b/crd-controller/config/rbac/auth_proxy_service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c8309f36ccaf6d48602ff63cbc9da1d21277744f --- /dev/null +++ b/crd-controller/config/rbac/auth_proxy_service.yaml @@ -0,0 +1,21 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + control-plane: controller-manager + app.kubernetes.io/name: service + app.kubernetes.io/instance: controller-manager-metrics-service + app.kubernetes.io/component: kube-rbac-proxy + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: controller-manager-metrics-service + namespace: kube-gpu-sparse-controller +spec: + ports: + - name: https + port: 8443 + protocol: TCP + targetPort: https + selector: + control-plane: controller-manager diff --git a/crd-controller/config/rbac/dataset_editor_role.yaml b/crd-controller/config/rbac/dataset_editor_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..58b907ca3d42cb701d363a0de77d626909855bf4 --- /dev/null +++ b/crd-controller/config/rbac/dataset_editor_role.yaml @@ -0,0 +1,31 @@ +# permissions for end users to edit datasets. +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/name: clusterrole + app.kubernetes.io/instance: dataset-editor-role + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: dataset-editor-role +rules: +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets + verbs: + - create + - delete + - get + - list + - patch + - update + - watch +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets/status + verbs: + - get diff --git a/crd-controller/config/rbac/dataset_viewer_role.yaml b/crd-controller/config/rbac/dataset_viewer_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..896a518eaa462b6021b71f552a46719dda870e26 --- /dev/null +++ b/crd-controller/config/rbac/dataset_viewer_role.yaml @@ -0,0 +1,27 @@ +# permissions for end users to view datasets. +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/name: clusterrole + app.kubernetes.io/instance: dataset-viewer-role + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: dataset-viewer-role +rules: +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets + verbs: + - get + - list + - watch +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets/status + verbs: + - get diff --git a/crd-controller/config/rbac/kustomization.yaml b/crd-controller/config/rbac/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..75e06bc474d362b6f808c5d18dc1f873cff4dbb0 --- /dev/null +++ b/crd-controller/config/rbac/kustomization.yaml @@ -0,0 +1,19 @@ +resources: + # All RBAC will be applied under this service account in + # the deployment namespace. You may comment out this resource + # if your manager will use a service account that exists at + # runtime. Be sure to update RoleBinding and ClusterRoleBinding + # subjects if changing service account names. + - service_account.yaml + - role.yaml + - role_binding.yaml + - root_role.yaml + - leader_election_role.yaml + - leader_election_role_binding.yaml + # Comment the following 4 lines if you want to disable + # the auth proxy (https://github.com/brancz/kube-rbac-proxy) + # which protects your /metrics endpoint. + - auth_proxy_service.yaml + - auth_proxy_role.yaml + - auth_proxy_role_binding.yaml + - auth_proxy_client_clusterrole.yaml diff --git a/crd-controller/config/rbac/leader_election_role.yaml b/crd-controller/config/rbac/leader_election_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..126ea0757f8e1475dd218b0209097b319325a6b5 --- /dev/null +++ b/crd-controller/config/rbac/leader_election_role.yaml @@ -0,0 +1,44 @@ +# permissions to do leader election. +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + labels: + app.kubernetes.io/name: role + app.kubernetes.io/instance: leader-election-role + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: leader-election-role +rules: +- apiGroups: + - "" + resources: + - configmaps + verbs: + - get + - list + - watch + - create + - update + - patch + - delete +- apiGroups: + - coordination.k8s.io + resources: + - leases + verbs: + - get + - list + - watch + - create + - update + - patch + - delete +- apiGroups: + - "" + resources: + - events + verbs: + - create + - patch diff --git a/crd-controller/config/rbac/leader_election_role_binding.yaml b/crd-controller/config/rbac/leader_election_role_binding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8bdad84b7bf0ca5934e877a3aa145babc70c73ce --- /dev/null +++ b/crd-controller/config/rbac/leader_election_role_binding.yaml @@ -0,0 +1,19 @@ +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + labels: + app.kubernetes.io/name: rolebinding + app.kubernetes.io/instance: leader-election-rolebinding + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: leader-election-rolebinding +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: Role + name: leader-election-role +subjects: + - kind: ServiceAccount + name: controller-manager + namespace: kube-gpu-sparse-controller diff --git a/crd-controller/config/rbac/recommenddljob_editor_role.yaml b/crd-controller/config/rbac/recommenddljob_editor_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..02a8c33858b5934ceee928b0718e964aca5091fa --- /dev/null +++ b/crd-controller/config/rbac/recommenddljob_editor_role.yaml @@ -0,0 +1,31 @@ +# permissions for end users to edit recommenddljobs. +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/name: clusterrole + app.kubernetes.io/instance: recommenddljob-editor-role + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: recommenddljob-editor-role +rules: +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs + verbs: + - create + - delete + - get + - list + - patch + - update + - watch +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs/status + verbs: + - get diff --git a/crd-controller/config/rbac/recommenddljob_viewer_role.yaml b/crd-controller/config/rbac/recommenddljob_viewer_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..15b2d9115660bf4d9778e07458a54b31edff69b8 --- /dev/null +++ b/crd-controller/config/rbac/recommenddljob_viewer_role.yaml @@ -0,0 +1,27 @@ +# permissions for end users to view recommenddljobs. +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + labels: + app.kubernetes.io/name: clusterrole + app.kubernetes.io/instance: recommenddljob-viewer-role + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: recommenddljob-viewer-role +rules: +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs + verbs: + - get + - list + - watch +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs/status + verbs: + - get diff --git a/crd-controller/config/rbac/role.yaml b/crd-controller/config/rbac/role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ef838818d5592a554ec10664ba4884f3874ed687 --- /dev/null +++ b/crd-controller/config/rbac/role.yaml @@ -0,0 +1,58 @@ +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: manager-role +rules: +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets + verbs: + - create + - delete + - get + - list + - patch + - update + - watch +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets/finalizers + verbs: + - update +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - datasets/status + verbs: + - get + - patch + - update +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs + verbs: + - create + - delete + - get + - list + - patch + - update + - watch +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs/finalizers + verbs: + - update +- apiGroups: + - kube-gpu-sparse.kube-gpu-sparse.io + resources: + - recommenddljobs/status + verbs: + - get + - patch + - update diff --git a/crd-controller/config/rbac/role_binding.yaml b/crd-controller/config/rbac/role_binding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2a2d297f9d8dcbd3f9deee874f991149dd649a99 --- /dev/null +++ b/crd-controller/config/rbac/role_binding.yaml @@ -0,0 +1,19 @@ +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + labels: + app.kubernetes.io/name: clusterrolebinding + app.kubernetes.io/instance: manager-rolebinding + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: manager-rolebinding +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: manager-role +subjects: + - kind: ServiceAccount + name: controller-manager + namespace: kube-gpu-sparse-controller diff --git a/crd-controller/config/rbac/root_role.yaml b/crd-controller/config/rbac/root_role.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ce8add05b901a3f4919e231f9a976abbeb3c5516 --- /dev/null +++ b/crd-controller/config/rbac/root_role.yaml @@ -0,0 +1,60 @@ +kind: ClusterRole +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: kube-gpu-sparse-crd-controller-clusterrole +rules: + - apiGroups: + - "" + resources: + - "*" + verbs: + - "*" + - apiGroups: + - apps + - extensions + resources: + - "*" + verbs: + - "*" + - apiGroups: + - policy + resources: + - poddisruptionbudgets + verbs: + - get + - list + - watch + - apiGroups: + - "storage.k8s.io" + resources: + - "*" + verbs: + - "*" + - apiGroups: + - "coordination.k8s.io" + resources: + - leases + verbs: + - create + - get + - list + - update + - apiGroups: + - "events.k8s.io" + resources: + - "*" + verbs: + - "*" +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: kube-gpu-sparse-crd-controller-clusterrole-binding +subjects: +- kind: ServiceAccount + name: kube-gpu-sparse-controller-manager + namespace: kube-gpu-sparse-controller +roleRef: + kind: ClusterRole + name: kube-gpu-sparse-crd-controller-clusterrole + apiGroup: rbac.authorization.k8s.io \ No newline at end of file diff --git a/crd-controller/config/rbac/service_account.yaml b/crd-controller/config/rbac/service_account.yaml new file mode 100644 index 0000000000000000000000000000000000000000..761505361e4e2858a6cf3f9f514243ebb089e10a --- /dev/null +++ b/crd-controller/config/rbac/service_account.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + labels: + app.kubernetes.io/name: serviceaccount + app.kubernetes.io/instance: controller-manager-sa + app.kubernetes.io/component: rbac + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + name: controller-manager + namespace: kube-gpu-sparse-controller diff --git a/crd-controller/config/samples/2_recommenddljob_sample.yaml b/crd-controller/config/samples/2_recommenddljob_sample.yaml new file mode 100644 index 0000000000000000000000000000000000000000..156d3286f57ab98c64742a9965aed7eaac3e9c75 --- /dev/null +++ b/crd-controller/config/samples/2_recommenddljob_sample.yaml @@ -0,0 +1,24 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: user-lpx-recommanddljob-2 + namespace: user-lpx +spec: + replicas: 2 + running_type: one-shot + username: user-lpx + macs: 34683000 + params: 218411 + batch_size: 160 + embedding_size_total: 3750000 + embedding_dim_total: 400 + embedding_table_count: 8 + template: + spec: + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 3 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/config/samples/dataset_sample.yaml b/crd-controller/config/samples/dataset_sample.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f7d87e068f8e5f9467b768ad58278e8942996945 --- /dev/null +++ b/crd-controller/config/samples/dataset_sample.yaml @@ -0,0 +1,26 @@ +# apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +# kind: DataSet +# metadata: +# name: bert-dataset +# namespace: user-lpx +# spec: +# pvc: bert-dataset +# size: 10 +# --- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: DataSet +metadata: + name: yolo-dataset + namespace: user-lpx +spec: + pvc: yolo-dataset + size: 20 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: DataSet +metadata: + name: deepctr-dataset + namespace: user-lpx +spec: + pvc: deepctr-dataset + size: 15 \ No newline at end of file diff --git a/crd-controller/config/samples/kube-gpu-sparse_v1_dataset.yaml b/crd-controller/config/samples/kube-gpu-sparse_v1_dataset.yaml new file mode 100644 index 0000000000000000000000000000000000000000..52edead5268df787c265d76539f92eddd48536e6 --- /dev/null +++ b/crd-controller/config/samples/kube-gpu-sparse_v1_dataset.yaml @@ -0,0 +1,12 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: DataSet +metadata: + labels: + app.kubernetes.io/name: dataset + app.kubernetes.io/instance: dataset-sample + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + app.kubernetes.io/created-by: crd-controller + name: dataset-sample +spec: + # TODO(user): Add fields here diff --git a/crd-controller/config/samples/kube-gpu-sparse_v1_recommenddljob.yaml b/crd-controller/config/samples/kube-gpu-sparse_v1_recommenddljob.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7432ce66d1cfdbc795cca7b95c60f4a5cf706664 --- /dev/null +++ b/crd-controller/config/samples/kube-gpu-sparse_v1_recommenddljob.yaml @@ -0,0 +1,12 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + labels: + app.kubernetes.io/name: recommenddljob + app.kubernetes.io/instance: recommenddljob-sample + app.kubernetes.io/part-of: crd-controller + app.kubernetes.io/managed-by: kustomize + app.kubernetes.io/created-by: crd-controller + name: recommenddljob-sample +spec: + # TODO(user): Add fields here diff --git a/crd-controller/config/samples/kustomization.yaml b/crd-controller/config/samples/kustomization.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b75378304041d5b4bf84a2d2f509346e5562abb9 --- /dev/null +++ b/crd-controller/config/samples/kustomization.yaml @@ -0,0 +1,5 @@ +## Append samples of your project ## +resources: +- kube-gpu-sparse_v1_recommenddljob.yaml +- kube-gpu-sparse_v1_dataset.yaml +#+kubebuilder:scaffold:manifestskustomizesamples diff --git a/crd-controller/config/samples/lunwen.yaml b/crd-controller/config/samples/lunwen.yaml new file mode 100644 index 0000000000000000000000000000000000000000..add8efd6156d9ab1b593afb4fc9ff6483f57ab16 --- /dev/null +++ b/crd-controller/config/samples/lunwen.yaml @@ -0,0 +1,8 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: DataSet +metadata: + name: user-lpx-DataSet + namespace: user-lpx +spec: + download_url: git@example.example.com + size: 20 \ No newline at end of file diff --git a/crd-controller/config/samples/nfs-pvc.yaml b/crd-controller/config/samples/nfs-pvc.yaml new file mode 100644 index 0000000000000000000000000000000000000000..619c6b6fed77a34c0325365640327b9e22067205 --- /dev/null +++ b/crd-controller/config/samples/nfs-pvc.yaml @@ -0,0 +1,13 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: nfs-lpx-pvc + namespace: default +spec: + accessModes: + - ReadWriteMany + resources: + requests: + storage: 100Gi + storageClassName: nfs-client + volumeMode: Filesystem diff --git a/crd-controller/config/samples/pvc_sample.yaml b/crd-controller/config/samples/pvc_sample.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1075e2c19e115503365ebc2d5042d5ea6125b266 --- /dev/null +++ b/crd-controller/config/samples/pvc_sample.yaml @@ -0,0 +1,25 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: bert-dataset + namespace: user-lpx +spec: + accessModes: + - ReadWriteMany + storageClassName: "rook-cephfs" + resources: + requests: + storage: 10Gi +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: yolo-dataset + namespace: user-lpx +spec: + accessModes: + - ReadWriteMany + storageClassName: "rook-cephfs" + resources: + requests: + storage: 20Gi \ No newline at end of file diff --git a/crd-controller/config/samples/recommenddljob_sample.yaml b/crd-controller/config/samples/recommenddljob_sample.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0db08e739f8e1739b2b64abd2726e35bfb0d4703 --- /dev/null +++ b/crd-controller/config/samples/recommenddljob_sample.yaml @@ -0,0 +1,24 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: user-lpx-recommanddljob + namespace: user-lpx +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 34683000 + params: 218411 + batch_size: 160 + embedding_size_total: 3750000 + embedding_dim_total: 400 + embedding_table_count: 8 + template: + spec: + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 3 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/config/samples/recommenddljob_sample_detail.yaml b/crd-controller/config/samples/recommenddljob_sample_detail.yaml new file mode 100644 index 0000000000000000000000000000000000000000..81e16e7da70a4295a9bcb2bfb2b50e339f5aaff6 --- /dev/null +++ b/crd-controller/config/samples/recommenddljob_sample_detail.yaml @@ -0,0 +1,26 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: user-lpx-recommanddljob-detail + namespace: kube-gpu-sparse +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: + [15000000, 3000000, 10000000, 6000000, 8000000, 300000, 200000] + embedding_dim: [32, 32, 32, 32, 32, 32, 32] + template: + spec: + containers: + - name: resnet + image: crpi-cv7q433kjwbgm2mv.cn-hangzhou.personal.cr.aliyuncs.com/raids-crater/crater:resnet-v2 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd ..; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU diff --git a/crd-controller/config/samples/recommenddljob_sample_detail_embedding_db.yaml b/crd-controller/config/samples/recommenddljob_sample_detail_embedding_db.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4e3f802f394fab0a22e2de0d44de067abe5bfd2b --- /dev/null +++ b/crd-controller/config/samples/recommenddljob_sample_detail_embedding_db.yaml @@ -0,0 +1,23 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: user-lpx-recommanddljob-detail-embedding-db + namespace: user-lpx +spec: + replicas: 1 + running_type: long-running + username: user-lpx + macs: 0 + params: 0 + batch_size: 0 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 0 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/config/samples/recommenddljob_sample_detail_not_end2end.yaml b/crd-controller/config/samples/recommenddljob_sample_detail_not_end2end.yaml new file mode 100644 index 0000000000000000000000000000000000000000..73a5af45a5b6cecfaa051182315c7ef6c0913578 --- /dev/null +++ b/crd-controller/config/samples/recommenddljob_sample_detail_not_end2end.yaml @@ -0,0 +1,27 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: user-lpx-recommanddljob-not-end2end + namespace: user-lpx +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [32, 32, 32, 32, 32, 32, 32] + releation_ships: + - type: input + job_name: user-lpx-recommanddljob-detail-embedding-db + job_namespace: user-lpx + template: + spec: + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/config/samples/recommenddljob_sample_detail_with_dataset.yaml b/crd-controller/config/samples/recommenddljob_sample_detail_with_dataset.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a6e7a37136cb3fca7118bf7653a56b12362295b7 --- /dev/null +++ b/crd-controller/config/samples/recommenddljob_sample_detail_with_dataset.yaml @@ -0,0 +1,30 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: user-lpx-recommanddljob-with-data-set + namespace: user-lpx +spec: + replicas: 8 + running_type: one-shot + username: user-lpx + macs: 11932000000 + params: 1194300000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,39] + datasets: + - name: bert-dataset + dataset: + pvc: bert-dataset + - name: yolo-dataset + - name: deepctr-dataset + template: + spec: + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/deployment.yaml b/crd-controller/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f89d4f99a76a3989e891887122e78f550158256b --- /dev/null +++ b/crd-controller/deployment.yaml @@ -0,0 +1,115 @@ +kind: Deployment +apiVersion: apps/v1 +metadata: + name: kube-gpu-sparse-controller-manager + namespace: kube-gpu-sparse-controller + labels: + app.kubernetes.io/component: manager + app.kubernetes.io/created-by: crd-controller + app.kubernetes.io/instance: controller-manager + app.kubernetes.io/managed-by: kustomize + app.kubernetes.io/name: deployment + app.kubernetes.io/part-of: crd-controller + control-plane: controller-manager + annotations: + deployment.kubernetes.io/revision: "12" + kubectl.kubernetes.io/last-applied-configuration: > + {"apiVersion":"apps/v1","kind":"Deployment","metadata":{"annotations":{},"labels":{"app.kubernetes.io/component":"manager","app.kubernetes.io/created-by":"crd-controller","app.kubernetes.io/instance":"controller-manager","app.kubernetes.io/managed-by":"kustomize","app.kubernetes.io/name":"deployment","app.kubernetes.io/part-of":"crd-controller","control-plane":"controller-manager"},"name":"kube-gpu-sparse-controller-manager","namespace":"kube-gpu-sparse-controller"},"spec":{"replicas":1,"selector":{"matchLabels":{"control-plane":"controller-manager"}},"template":{"metadata":{"annotations":{"kubectl.kubernetes.io/default-container":"manager"},"labels":{"control-plane":"controller-manager"}},"spec":{"containers":[{"args":["--secure-listen-address=0.0.0.0:8443","--upstream=http://127.0.0.1:8080/","--logtostderr=true","--v=0"],"image":"pxllpx/gcr_io_kubebuilder_kube-rbac-proxy:v0.14.1","name":"kube-rbac-proxy","ports":[{"containerPort":8443,"name":"https","protocol":"TCP"}],"resources":{"limits":{"cpu":"500m","memory":"128Mi"},"requests":{"cpu":"5m","memory":"64Mi"}},"securityContext":{"allowPrivilegeEscalation":false,"capabilities":{"drop":["ALL"]}}},{"args":["--health-probe-bind-address=:8081","--metrics-bind-address=127.0.0.1:8080","--leader-elect"],"command":["/manager"],"image":"harbor.act.buaa.edu.cn/kube-gpu-sparse/crd-controller:v0.21.0","livenessProbe":{"httpGet":{"path":"/healthz","port":8081},"initialDelaySeconds":15,"periodSeconds":20},"name":"manager","readinessProbe":{"httpGet":{"path":"/readyz","port":8081},"initialDelaySeconds":5,"periodSeconds":10},"resources":{"limits":{"cpu":"500m","memory":"128Mi"},"requests":{"cpu":"10m","memory":"64Mi"}},"securityContext":{"allowPrivilegeEscalation":false,"capabilities":{"drop":["ALL"]}}}],"securityContext":{"runAsNonRoot":true},"serviceAccountName":"kube-gpu-sparse-controller-manager","terminationGracePeriodSeconds":10}}}} +spec: + replicas: 1 + selector: + matchLabels: + control-plane: controller-manager + template: + metadata: + labels: + control-plane: controller-manager + annotations: + kubectl.kubernetes.io/default-container: manager + kubesphere.io/restartedAt: "2024-09-22T11:55:14.587Z" + spec: + containers: + - name: kube-rbac-proxy + image: "harbor.act.buaa.edu.cn/crater/kubebuilder-kube-rbac-proxy:v0.15.0" + args: + - "--secure-listen-address=0.0.0.0:8443" + - "--upstream=http://127.0.0.1:8080/" + - "--logtostderr=true" + - "--v=0" + ports: + - name: https + containerPort: 8443 + protocol: TCP + resources: + limits: + cpu: 500m + memory: 128Mi + requests: + cpu: 5m + memory: 64Mi + terminationMessagePath: /dev/termination-log + terminationMessagePolicy: File + imagePullPolicy: IfNotPresent + securityContext: + capabilities: + drop: + - ALL + allowPrivilegeEscalation: false + - name: manager + image: "harbor.act.buaa.edu.cn/k8s-manager/crd-controller:v0.22.0" + command: + - /manager + args: + - "--health-probe-bind-address=:8081" + - "--metrics-bind-address=127.0.0.1:8080" + - "--leader-elect" + resources: + limits: + cpu: 500m + memory: 128Mi + requests: + cpu: 10m + memory: 64Mi + livenessProbe: + httpGet: + path: /healthz + port: 8081 + scheme: HTTP + initialDelaySeconds: 15 + timeoutSeconds: 1 + periodSeconds: 20 + successThreshold: 1 + failureThreshold: 3 + readinessProbe: + httpGet: + path: /readyz + port: 8081 + scheme: HTTP + initialDelaySeconds: 5 + timeoutSeconds: 1 + periodSeconds: 10 + successThreshold: 1 + failureThreshold: 3 + terminationMessagePath: /dev/termination-log + terminationMessagePolicy: File + imagePullPolicy: IfNotPresent + securityContext: + capabilities: + drop: + - ALL + allowPrivilegeEscalation: false + restartPolicy: Always + terminationGracePeriodSeconds: 10 + dnsPolicy: ClusterFirst + serviceAccountName: kube-gpu-sparse-controller-manager + serviceAccount: kube-gpu-sparse-controller-manager + securityContext: + runAsNonRoot: true + schedulerName: default-scheduler + strategy: + type: RollingUpdate + rollingUpdate: + maxUnavailable: 25% + maxSurge: 25% + revisionHistoryLimit: 10 + progressDeadlineSeconds: 600 diff --git a/crd-controller/example/bert.yaml b/crd-controller/example/bert.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f42a44064aab8e57a19191ffb35523841576c6b8 --- /dev/null +++ b/crd-controller/example/bert.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: bert-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 4 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 8 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/bert:code + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=8 --epochs=0.2 --data_dir=/.pod/bert-dataset/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/crd-controller/example/deepfm-high.yaml b/crd-controller/example/deepfm-high.yaml new file mode 100644 index 0000000000000000000000000000000000000000..903f872374a5cd5b67afe9eb5de1bf5eb5af6bfc --- /dev/null +++ b/crd-controller/example/deepfm-high.yaml @@ -0,0 +1,28 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: deepctr-high-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 2 + running_type: one-shot + username: user-lpx + macs: 48512 + params: 48896 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:code + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /code/deepctr/; python run_deepfm.py --batch_size=32 --data_dir=/.pod/deepctr-dataset/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/example/deepfm-low.yaml b/crd-controller/example/deepfm-low.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3537e3c351f187cc6ffb9e3220dd0545b960d392 --- /dev/null +++ b/crd-controller/example/deepfm-low.yaml @@ -0,0 +1,28 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: deepctr-low-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 2 + running_type: one-shot + username: user-lpx + macs: 48512 + params: 48896 + batch_size: 32 + vocabulary_size: [3000000,300000,200000] + embedding_dim: [16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:code + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /code/deepctr/; python run_deepfm_low.py --batch_size=32 --data_dir=/.pod/deepctr-dataset/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/example/not-end2end/embedding-db.yaml b/crd-controller/example/not-end2end/embedding-db.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a1e6a9e828b23a2711dacd109000b34ea4bbed11 --- /dev/null +++ b/crd-controller/example/not-end2end/embedding-db.yaml @@ -0,0 +1,40 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: embedding-db + namespace: user-lpx +spec: + replicas: 1 + running_type: long-running + username: user-lpx + macs: 0 + params: 0 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,39] + template: + spec: + containers: + - name: embeddingdb + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + resources: + limits: + nvidia.com/gpu: 0 # requesting 1 GPU + ports: + - containerPort: 6002 +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + kube-gpu-sparse/job_name: embedding-db + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/crd-controller/example/not-end2end/not-end2end.yaml b/crd-controller/example/not-end2end/not-end2end.yaml new file mode 100644 index 0000000000000000000000000000000000000000..411f12d2aab7cebf6c67e575875c796f3acd48bb --- /dev/null +++ b/crd-controller/example/not-end2end/not-end2end.yaml @@ -0,0 +1,32 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: not-end2end + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 119320000 + params: 119430000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,39] + releation_ships: + - type: input + job_name: embedding-db + job_namespace: user-lpx + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:code + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /code/deepctr;python run_not_end2end.py --data_dir=/.pod/deepctr-dataset/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU \ No newline at end of file diff --git a/crd-controller/example/submit.sh b/crd-controller/example/submit.sh new file mode 100644 index 0000000000000000000000000000000000000000..0f5848d8fc27f2f1cb9b11de6d9aa9f1c7cb8b17 --- /dev/null +++ b/crd-controller/example/submit.sh @@ -0,0 +1,4 @@ +kubectl apply -f deepfm-low.yaml +kubectl apply -f yolo.yaml +kubectl apply -f bert.yaml +kubectl apply -f deepfm-high.yaml \ No newline at end of file diff --git a/crd-controller/example/yolo.yaml b/crd-controller/example/yolo.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e5874ca012cb264d77701ebd169e6c157441b12a --- /dev/null +++ b/crd-controller/example/yolo.yaml @@ -0,0 +1,36 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: yolo5m-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 2 + running_type: one-shot + username: user-lpx + macs: 24619315200 + params: 21190557 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,3,640,640] + datasets: + - name: yolo-dataset + template: + spec: + containers: + - name: yolo + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:code + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /code/yolov5/; python train.py --data coco_cache.yaml --epochs 4 --weights '' --cfg yolov5m.yaml --batch-size 32"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /dev/shm + name: cache-volume + volumes: + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/crd-controller/go.mod b/crd-controller/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..2340983a8de3f774625a8a092d34423a0389c95c --- /dev/null +++ b/crd-controller/go.mod @@ -0,0 +1,82 @@ +module kube-gpu/scheduler/crd-controller/v2 + +go 1.20 + +require ( + github.com/onsi/ginkgo/v2 v2.9.5 + github.com/onsi/gomega v1.27.7 + k8s.io/api v0.27.2 + k8s.io/apimachinery v0.27.2 + k8s.io/client-go v0.27.2 + sigs.k8s.io/controller-runtime v0.15.0 +) + +require ( + github.com/beorn7/perks v1.0.1 // indirect + github.com/cespare/xxhash/v2 v2.2.0 // indirect + github.com/davecgh/go-spew v1.1.1 // indirect + github.com/emicklei/go-restful/v3 v3.9.0 // indirect + github.com/evanphx/json-patch/v5 v5.6.0 // indirect + github.com/fsnotify/fsnotify v1.6.0 // indirect + github.com/go-logr/logr v1.2.4 // indirect + github.com/go-logr/zapr v1.2.4 // indirect + github.com/go-openapi/jsonpointer v0.19.6 // indirect + github.com/go-openapi/jsonreference v0.20.1 // indirect + github.com/go-openapi/swag v0.22.3 // indirect + github.com/go-sql-driver/mysql v1.7.1 // indirect + github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da // indirect + github.com/golang/protobuf v1.5.3 // indirect + github.com/google/gnostic v0.5.7-v3refs // indirect + github.com/google/go-cmp v0.5.9 // indirect + github.com/google/gofuzz v1.1.0 // indirect + github.com/google/pprof v0.0.0-20210720184732-4bb14d4b1be1 // indirect + github.com/google/uuid v1.3.0 // indirect + github.com/imdario/mergo v0.3.6 // indirect + github.com/jinzhu/inflection v1.0.0 // indirect + github.com/jinzhu/now v1.1.5 // indirect + github.com/josharian/intern v1.0.0 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/mailru/easyjson v0.7.7 // indirect + github.com/mattn/go-sqlite3 v1.14.17 // indirect + github.com/matttproud/golang_protobuf_extensions v1.0.4 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 // indirect + github.com/pkg/errors v0.9.1 // indirect + github.com/pmezard/go-difflib v1.0.0 // indirect + github.com/prometheus/client_golang v1.15.1 // indirect + github.com/prometheus/client_model v0.4.0 // indirect + github.com/prometheus/common v0.42.0 // indirect + github.com/prometheus/procfs v0.9.0 // indirect + github.com/spf13/pflag v1.0.5 // indirect + github.com/stretchr/testify v1.8.4 // indirect + go.uber.org/atomic v1.7.0 // indirect + go.uber.org/multierr v1.6.0 // indirect + go.uber.org/zap v1.24.0 // indirect + golang.org/x/net v0.10.0 // indirect + golang.org/x/oauth2 v0.5.0 // indirect + golang.org/x/sys v0.8.0 // indirect + golang.org/x/term v0.8.0 // indirect + golang.org/x/text v0.9.0 // indirect + golang.org/x/time v0.3.0 // indirect + golang.org/x/tools v0.9.1 // indirect + gomodules.xyz/jsonpatch/v2 v2.3.0 // indirect + google.golang.org/appengine v1.6.7 // indirect + google.golang.org/protobuf v1.30.0 // indirect + gopkg.in/inf.v0 v0.9.1 // indirect + gopkg.in/yaml.v2 v2.4.0 // indirect + gopkg.in/yaml.v3 v3.0.1 // indirect + gorm.io/driver/mysql v1.5.1 // indirect + gorm.io/driver/sqlite v1.5.3 // indirect + gorm.io/gorm v1.25.4 // indirect + k8s.io/apiextensions-apiserver v0.27.2 // indirect + k8s.io/component-base v0.27.2 // indirect + k8s.io/klog/v2 v2.90.1 // indirect + k8s.io/kube-openapi v0.0.0-20230501164219-8b0f38b5fd1f // indirect + k8s.io/utils v0.0.0-20230209194617-a36077c30491 // indirect + sigs.k8s.io/json v0.0.0-20221116044647-bc3834ca7abd // indirect + sigs.k8s.io/structured-merge-diff/v4 v4.2.3 // indirect + sigs.k8s.io/yaml v1.3.0 // indirect +) diff --git a/crd-controller/go.sum b/crd-controller/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..684aeb93d6ffb21eb1a94cf02b7899d11892f161 --- /dev/null +++ b/crd-controller/go.sum @@ -0,0 +1,302 @@ +cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU= +github.com/benbjohnson/clock v1.1.0 h1:Q92kusRqC1XV2MjkWETPvjJVqKetz1OzxZB7mHJLju8= +github.com/benbjohnson/clock v1.1.0/go.mod h1:J11/hYXuz8f4ySSvYwY0FKfm+ezbsZBKZxNJlLklBHA= +github.com/beorn7/perks v1.0.1 h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM= +github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6rlkpw= +github.com/census-instrumentation/opencensus-proto v0.2.1/go.mod h1:f6KPmirojxKA12rnyqOA5BBL4O983OfeGPqjHWSTneU= +github.com/cespare/xxhash/v2 v2.2.0 h1:DC2CZ1Ep5Y4k3ZQ899DldepgrayRUGE6BBZ/cd9Cj44= +github.com/cespare/xxhash/v2 v2.2.0/go.mod h1:VGX0DQ3Q6kWi7AoAeZDth3/j3BFtOZR5XLFGgcrjCOs= +github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI= +github.com/chzyer/readline v0.0.0-20180603132655-2972be24d48e/go.mod h1:nSuG5e5PlCu98SY8svDHJxuZscDgtXS6KTTbou5AhLI= +github.com/chzyer/test v0.0.0-20180213035817-a1ea475d72b1/go.mod h1:Q3SI9o4m/ZMnBNeIyt5eFwwo7qiLfzFZmjNmxjkiQlU= +github.com/client9/misspell v0.3.4/go.mod h1:qj6jICC3Q7zFZvVWo7KLAzC3yx5G7kyvSDkc90ppPyw= +github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ33E= +github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c= +github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/docopt/docopt-go v0.0.0-20180111231733-ee0de3bc6815/go.mod h1:WwZ+bS3ebgob9U8Nd0kOddGdZWjyMGR8Wziv+TBNwSE= +github.com/emicklei/go-restful/v3 v3.9.0 h1:XwGDlfxEnQZzuopoqxwSEllNcCOM9DhhFyhFIIGKwxE= +github.com/emicklei/go-restful/v3 v3.9.0/go.mod h1:6n3XBCmQQb25CM2LCACGz8ukIrRry+4bhvbpWn3mrbc= +github.com/envoyproxy/go-control-plane v0.9.1-0.20191026205805-5f8ba28d4473/go.mod h1:YTl/9mNaCwkRvm6d1a2C3ymFceY/DCBVvsKhRF0iEA4= +github.com/envoyproxy/protoc-gen-validate v0.1.0/go.mod h1:iSmxcyjqTsJpI2R4NaDN7+kN2VEUnK/pcBlmesArF7c= +github.com/evanphx/json-patch v4.12.0+incompatible h1:4onqiflcdA9EOZ4RxV643DvftH5pOlLGNtQ5lPWQu84= +github.com/evanphx/json-patch/v5 v5.6.0 h1:b91NhWfaz02IuVxO9faSllyAtNXHMPkC5J8sJCLunww= +github.com/evanphx/json-patch/v5 v5.6.0/go.mod h1:G79N1coSVB93tBe7j6PhzjmR3/2VvlbKOFpnXhI9Bw4= +github.com/fsnotify/fsnotify v1.6.0 h1:n+5WquG0fcWoWp6xPWfHdbskMCQaFnG6PfBrh1Ky4HY= +github.com/fsnotify/fsnotify v1.6.0/go.mod h1:sl3t1tCWJFWoRz9R8WJCbQihKKwmorjAbSClcnxKAGw= +github.com/go-logr/logr v1.2.0/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A= +github.com/go-logr/logr v1.2.4 h1:g01GSCwiDw2xSZfjJ2/T9M+S6pFdcNtFYsp+Y43HYDQ= +github.com/go-logr/logr v1.2.4/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A= +github.com/go-logr/zapr v1.2.4 h1:QHVo+6stLbfJmYGkQ7uGHUCu5hnAFAj6mDe6Ea0SeOo= +github.com/go-logr/zapr v1.2.4/go.mod h1:FyHWQIzQORZ0QVE1BtVHv3cKtNLuXsbNLtpuhNapBOA= +github.com/go-openapi/jsonpointer v0.19.6 h1:eCs3fxoIi3Wh6vtgmLTOjdhSpiqphQ+DaPn38N2ZdrE= +github.com/go-openapi/jsonpointer v0.19.6/go.mod h1:osyAmYz/mB/C3I+WsTTSgw1ONzaLJoLCyoi6/zppojs= +github.com/go-openapi/jsonreference v0.20.1 h1:FBLnyygC4/IZZr893oiomc9XaghoveYTrLC1F86HID8= +github.com/go-openapi/jsonreference v0.20.1/go.mod h1:Bl1zwGIM8/wsvqjsOQLJ/SH+En5Ap4rVB5KVcIDZG2k= +github.com/go-openapi/swag v0.22.3 h1:yMBqmnQ0gyZvEb/+KzuWZOXgllrXT4SADYbvDaXHv/g= +github.com/go-openapi/swag v0.22.3/go.mod h1:UzaqsxGiab7freDnrUUra0MwWfN/q7tE4j+VcZ0yl14= +github.com/go-sql-driver/mysql v1.7.0/go.mod h1:OXbVy3sEdcQ2Doequ6Z5BW6fXNQTmx+9S1MCJN5yJMI= +github.com/go-sql-driver/mysql v1.7.1 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h1:qjx8mGObPmV2aSZepjQjbmb2ihdVs8cGKBraizNC69E= +sigs.k8s.io/yaml v1.3.0 h1:a2VclLzOGrwOHDiV8EfBGhvjHvP46CtW5j6POvhYGGo= +sigs.k8s.io/yaml v1.3.0/go.mod h1:GeOyir5tyXNByN85N/dRIT9es5UQNerPYEKK56eTBm8= diff --git a/crd-controller/hack/boilerplate.go.txt b/crd-controller/hack/boilerplate.go.txt new file mode 100644 index 0000000000000000000000000000000000000000..65b862271836d3863ced891afa52dd3ccf978a21 --- /dev/null +++ b/crd-controller/hack/boilerplate.go.txt @@ -0,0 +1,15 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ \ No newline at end of file diff --git a/crd-controller/internal/controller/dataset_controller.go b/crd-controller/internal/controller/dataset_controller.go new file mode 100644 index 0000000000000000000000000000000000000000..28f58dfa7cc497a009796cac771bb065ef6ecafe --- /dev/null +++ b/crd-controller/internal/controller/dataset_controller.go @@ -0,0 +1,117 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package controller + +import ( + "context" + "fmt" + "time" + + corev1 "k8s.io/api/core/v1" + "k8s.io/apimachinery/pkg/api/errors" + "k8s.io/apimachinery/pkg/runtime" + "k8s.io/apimachinery/pkg/types" + ctrl "sigs.k8s.io/controller-runtime" + "sigs.k8s.io/controller-runtime/pkg/client" + "sigs.k8s.io/controller-runtime/pkg/log" + + kubegpusparsev1 "kube-gpu/scheduler/crd-controller/v2/api/v1" +) + +// DataSetReconciler reconciles a DataSet object +type DataSetReconciler struct { + client.Client + Scheme *runtime.Scheme +} + +//+kubebuilder:rbac:groups=kube-gpu-sparse.kube-gpu-sparse.io,resources=datasets,verbs=get;list;watch;create;update;patch;delete +//+kubebuilder:rbac:groups=kube-gpu-sparse.kube-gpu-sparse.io,resources=datasets/status,verbs=get;update;patch +//+kubebuilder:rbac:groups=kube-gpu-sparse.kube-gpu-sparse.io,resources=datasets/finalizers,verbs=update + +// Reconcile is part of the main kubernetes reconciliation loop which aims to +// move the current state of the cluster closer to the desired state. +// TODO(user): Modify the Reconcile function to compare the state specified by +// the DataSet object against the actual cluster state, and then +// perform operations to make the cluster state reflect the state specified by +// the user. +// +// For more details, check Reconcile and its Result here: +// - https://pkg.go.dev/sigs.k8s.io/controller-runtime@v0.15.0/pkg/reconcile +func (r *DataSetReconciler) Reconcile(ctx context.Context, req ctrl.Request) (ctrl.Result, error) { + _ = log.FromContext(ctx) + + // TODO(user): your logic here + logs := log.Log.WithValues("Namespace", req.Namespace, "DataSet", req.Name) + logs.Info("reconsile dataset called!") + instance := kubegpusparsev1.DataSet{} + err := r.Client.Get(ctx, req.NamespacedName, &instance) + if err != nil { + if errors.IsNotFound(err) { + return ctrl.Result{}, nil + } + return ctrl.Result{}, err + } + + defer func() { + logs.Info(fmt.Sprintf("update status:%s", instance.Status.Phase)) + r.Status().Update(ctx, &instance) + }() + logs.Info(fmt.Sprintf("now phase:%s", instance.Status.Phase)) + if instance.Status.Phase != kubegpusparsev1.DataSetPhaseInitial && + instance.Status.Phase != kubegpusparsev1.DataSetPhasePVCPending && + instance.Status.Phase != kubegpusparsev1.DataSetPhasePVCBound && + instance.Status.Phase != kubegpusparsev1.DataSetPhaseDownloading && + instance.Status.Phase != kubegpusparsev1.DataSetPhaseReady { + instance.Status.Phase = kubegpusparsev1.DataSetPhaseInitial + } + + switch instance.Status.Phase { + case kubegpusparsev1.DataSetPhaseInitial: + if instance.Spec.PVC == "" { + // TODO + } else { + instance.Status.Phase = kubegpusparsev1.DataSetPhasePVCPending + } + case kubegpusparsev1.DataSetPhasePVCPending: + pvc := corev1.PersistentVolumeClaim{} + if err := r.Get(ctx, types.NamespacedName{Name: instance.Spec.PVC, Namespace: instance.Namespace}, &pvc); err != nil && errors.IsNotFound(err) { + logs.Info(fmt.Sprintf("pvc %s not found", instance.Spec.PVC)) + instance.Spec.PVC = "" + instance.Status.Phase = kubegpusparsev1.DataSetPhaseInitial + return ctrl.Result{}, nil + } + if pvc.Status.Phase == corev1.ClaimBound { + instance.Status.Phase = kubegpusparsev1.DataSetPhasePVCBound + } else { + return ctrl.Result{RequeueAfter: time.Second * 10}, nil + } + case kubegpusparsev1.DataSetPhasePVCBound: + // TODO download not initail dataset + instance.Status.Phase = kubegpusparsev1.DataSetPhaseReady + case kubegpusparsev1.DataSetPhaseDownloading: + case kubegpusparsev1.DataSetPhaseReady: + } + + return ctrl.Result{}, nil +} + +// SetupWithManager sets up the controller with the Manager. +func (r *DataSetReconciler) SetupWithManager(mgr ctrl.Manager) error { + return ctrl.NewControllerManagedBy(mgr). + For(&kubegpusparsev1.DataSet{}). + Complete(r) +} diff --git a/crd-controller/internal/controller/recommenddljob_controller.go b/crd-controller/internal/controller/recommenddljob_controller.go new file mode 100644 index 0000000000000000000000000000000000000000..04b5c4c6ab4548a272b9a279c16d96fc0e39c429 --- /dev/null +++ b/crd-controller/internal/controller/recommenddljob_controller.go @@ -0,0 +1,606 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package controller + +import ( + "context" + "encoding/json" + "fmt" + "strings" + "time" + + "github.com/go-logr/logr" + v1 "k8s.io/api/core/v1" + "k8s.io/apimachinery/pkg/api/errors" + "k8s.io/apimachinery/pkg/runtime" + "k8s.io/apimachinery/pkg/types" + ctrl "sigs.k8s.io/controller-runtime" + "sigs.k8s.io/controller-runtime/pkg/client" + "sigs.k8s.io/controller-runtime/pkg/controller/controllerutil" + "sigs.k8s.io/controller-runtime/pkg/log" + + kubegpusparsev1 "kube-gpu/scheduler/crd-controller/v2/api/v1" + "kube-gpu/scheduler/crd-controller/v2/internal/models" +) + +const ( + CONFIGMAP_NVIDIA_DEVICES_KEY = "NVIDIA_VISIBLE_DEVICES" + CONFIGMAP_POD_NAME_KEY = "POD_NAME" + CONFIGMAP_POD_HOST_KEY = "HOST" + KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY = "kube-gpu-sparse/resource_analyze" +) + +const ( + pod_path_format = "/.pod/%s" + dataset_path = "/.dataset" + ceph_path = "/.ceph" +) + +// RecommendDLJobReconciler reconciles a RecommendDLJob object +type RecommendDLJobReconciler struct { + client.Client + Scheme *runtime.Scheme +} + +//+kubebuilder:rbac:groups=kube-gpu-sparse.kube-gpu-sparse.io,resources=recommenddljobs,verbs=get;list;watch;create;update;patch;delete +//+kubebuilder:rbac:groups=kube-gpu-sparse.kube-gpu-sparse.io,resources=recommenddljobs/status,verbs=get;update;patch +//+kubebuilder:rbac:groups=kube-gpu-sparse.kube-gpu-sparse.io,resources=recommenddljobs/finalizers,verbs=update + +// Reconcile is part of the main kubernetes reconciliation loop which aims to +// move the current state of the cluster closer to the desired state. +// TODO(user): Modify the Reconcile function to compare the state specified by +// the RecommendDLJob object against the actual cluster state, and then +// perform operations to make the cluster state reflect the state specified by +// the user. +// +// For more details, check Reconcile and its Result here: +// - https://pkg.go.dev/sigs.k8s.io/controller-runtime@v0.15.0/pkg/reconcile +func (r *RecommendDLJobReconciler) Reconcile(ctx context.Context, req ctrl.Request) (ctrlResult ctrl.Result, retErr error) { + _ = log.FromContext(ctx) + + // TODO(user): your logic here + logs := log.Log.WithValues("Namespace", req.Namespace, "RecommendDLJob", req.Name) + logs.Info("reconsile called!") + instance := kubegpusparsev1.RecommendDLJob{} + err := r.Client.Get(ctx, req.NamespacedName, &instance) + if err != nil { + if errors.IsNotFound(err) { + return ctrl.Result{}, nil + } + return ctrl.Result{}, err + } + + defer func() { + logs.Info(fmt.Sprintf("update status:%s", instance.Status.Phase)) + // 逻辑上更新CRD的所有下游字段 + r.Status().Update(ctx, &instance) + }() + logs.Info(fmt.Sprintf("now phase:%s", instance.Status.Phase)) + if instance.Status.Phase != kubegpusparsev1.TrainingJobPending && + instance.Status.Phase != kubegpusparsev1.TrainingJobRunning && + instance.Status.Phase != kubegpusparsev1.TrainingJobFinished && + instance.Status.Phase != kubegpusparsev1.TrainingJobFailed { + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + } + if err = r.verify(&instance); err != nil { + logs.Error(err, fmt.Sprintf("instance macs or params not float, name:%s, namespace:%s", instance.Name, instance.Namespace)) + return ctrl.Result{}, err + } + + dbDLJob := &models.DlJob{ + JobUUID: string(instance.UID), + JobName: instance.Name, + JobNamespace: instance.Namespace, + Username: instance.Spec.Username, + RunType: string(instance.Spec.RunningType), + EmbeddingSizeTotal: float32(instance.Spec.EmbeddingSizeTotal) / 1e4, + EmbeddingDimTotal: instance.Spec.EmbeddingDimTotal, + EmbeddingTableCount: instance.Spec.EmbeddingTableCount, + Macs: float32(instance.Spec.Macs) / 1e6, + Params: float32(instance.Spec.Params) / 1e3, + BatchSize: instance.Spec.BatchSize, + } + + dbPodsList := []*models.DlJobPod{} + + dbPodsMap := make(map[string]*models.DlJobPod) + for _, dbPod := range dbPodsList { + dbPodsMap[dbPod.PodName] = dbPod + } + updatePodsMap := make(map[string]*models.DlJobPod) + + switch instance.Status.Phase { + case kubegpusparsev1.TrainingJobInitial: + // initial phase字段表示初始化阶段，需要编写需要的pod spec yaml并提交到k8s + // first submit, need to create pods and submit pods to k8s + if instance.Status.UUID == "" { + instance.Status.UUID = string(instance.UID) + r.Status().Update(ctx, &instance) + } + if dbDLJob.StartTimeStamp == 0 { + dbDLJob.StartTimeStamp = time.Now().Unix() + } + podsNameList := make([]string, 0, instance.Spec.Replicas) + pods, err := r.generatePodList(ctx, &instance, logs) + if err != nil { + logs.Error(err, fmt.Sprintf("get relationship failed, name:%s, namespace:%s", instance.Name, instance.Namespace)) + return ctrl.Result{}, err + } + for i, pod := range pods { + foundPod := &v1.Pod{} + if err := r.Get(ctx, types.NamespacedName{Name: pod.Name, Namespace: pod.Namespace}, foundPod); err != nil && errors.IsNotFound(err) { + // pod not found, create it + if err := r.CreatePodAndConfigMap(ctx, &instance, pod); err != nil { + logs.Error(err, fmt.Sprintf("initial: create pod and config map failed, pod:%s err:%v", pod.Name, err)) + return ctrl.Result{}, err + } + var dbPod *models.DlJobPod + var ok bool + if dbPod, ok = dbPodsMap[pod.Name]; !ok { + dbPod = &models.DlJobPod{ + JobUUID: dbDLJob.JobUUID, + JobName: dbDLJob.JobName, + JobNamespace: dbDLJob.JobNamespace, + PodName: pod.Name, + } + dbPodsMap[pod.Name] = dbPod + } + dbPod.Node = "" + dbPod.UUIDs = "" + dbPod.JCT = 0 + dbPod.StartTimeStamp = 0 + dbPod.EndTimeStamp = 0 + updatePodsMap[pod.Name] = dbPod + logs.Info(fmt.Sprintf("initial: pod create success, pod:%s", pod.Name)) + } else if err != nil { + // other err, return err + logs.Error(err, fmt.Sprintf("initial: get pod failed, pod:%s, err:%v", pod.Name, err)) + return ctrl.Result{}, err + } else { + // no error, pod already create + found := false + for _, podName := range instance.Status.PodNames { + if podName == foundPod.Name { + logs.Info(fmt.Sprintf("initial: pod already create, pod:%s", pod.Name)) + pod = foundPod + pods[i] = pod + found = true + } + } + if !found { + logs.Error(fmt.Errorf("pod duplicate"), fmt.Sprintf("initial: pod name duplicate, pod:%s", pod.Name)) + return ctrl.Result{}, fmt.Errorf("pod duplicate") + } + } + podsNameList = append(podsNameList, pod.Name) + } + instance.Status.PodNames = podsNameList + instance.Status.Phase = kubegpusparsev1.TrainingJobPending + case kubegpusparsev1.TrainingJobPending: + // pods already submit and has pod pending 检查所有pod是否都已经running + pending := false + for _, podName := range instance.Status.PodNames { + pod := &v1.Pod{} + if err := r.Get(ctx, types.NamespacedName{Namespace: instance.Namespace, Name: podName}, pod); err != nil && !errors.IsNotFound(err) { + logs.Error(err, fmt.Sprintf("pending: get pod failed, podName:%s, err:%v", podName, err)) + return ctrl.Result{}, err + } else if err != nil { + logs.Info(fmt.Sprintf("pending: pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } + logs.Info(fmt.Sprintf("found pod:%s, phase:%s", pod.Name, pod.Status.Phase)) + if pod.Status.Phase == v1.PodPending { + pending = true + } else if pod.Status.Phase == v1.PodRunning { + if dbPod, ok := dbPodsMap[pod.Name]; !ok { + logs.Info(fmt.Sprintf("pending: db pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } else if dbPod.StartTimeStamp == 0 { + if err := r.recordRuningPod(ctx, dbPod, pod); err != nil { + logs.Error(err, fmt.Sprintf("record running pod failed, err:%v", err)) + return ctrl.Result{}, err + } + updatePodsMap[pod.Name] = dbPod + } + } else { + if dbPod, ok := dbPodsMap[pod.Name]; !ok { + logs.Info(fmt.Sprintf("pending: db pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } else if dbPod.EndTimeStamp == 0 { + r.recordFinishPod(ctx, dbPod, pod) + updatePodsMap[pod.Name] = dbPod + } + } + } + if !pending { + instance.Status.Phase = kubegpusparsev1.TrainingJobRunning + } + case kubegpusparsev1.TrainingJobRunning: + // has pod running + running := false + hasFailed := false + for _, podName := range instance.Status.PodNames { + pod := &v1.Pod{} + if err := r.Get(ctx, types.NamespacedName{Namespace: instance.Namespace, Name: podName}, pod); err != nil && !errors.IsNotFound(err) { + logs.Error(err, fmt.Sprintf("running: get pod failed, podName:%s, err:%v", podName, err)) + return ctrl.Result{}, err + } else if err != nil { + logs.Info(fmt.Sprintf("running: pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } + if pod.Status.Phase == v1.PodRunning { + running = true + if dbPod, ok := dbPodsMap[pod.Name]; !ok { + logs.Info(fmt.Sprintf("running: db pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } else if dbPod.StartTimeStamp == 0 { + if err := r.recordRuningPod(ctx, dbPod, pod); err != nil { + logs.Error(err, fmt.Sprintf("record running pod failed, err:%v", err)) + return ctrl.Result{}, err + } + updatePodsMap[pod.Name] = dbPod + } + } else if pod.Status.Phase == v1.PodPending { + instance.Status.Phase = kubegpusparsev1.TrainingJobPending + return ctrl.Result{RequeueAfter: time.Second}, nil + } else { + if dbPod, ok := dbPodsMap[pod.Name]; !ok { + logs.Info(fmt.Sprintf("pending: db pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } else if dbPod.EndTimeStamp == 0 { + r.recordFinishPod(ctx, dbPod, pod) + updatePodsMap[pod.Name] = dbPod + } + if pod.Status.Phase == v1.PodFailed || pod.Status.Phase == v1.PodUnknown { + hasFailed = true + } + } + } + if !running { + if instance.Spec.RunningType == kubegpusparsev1.OneShot { + if hasFailed { + instance.Status.Phase = kubegpusparsev1.TrainingJobFailed + } else { + instance.Status.Phase = kubegpusparsev1.TrainingJobFinished + } + } + } + logs.Info(fmt.Sprintf("status phase change to %s", instance.Status.Phase)) + case kubegpusparsev1.TrainingJobFinished: + // all pods Succeed + // do nothing + logs.Info("in finished!!!!!") + fallthrough + case kubegpusparsev1.TrainingJobFailed: + // all pods finished and has pod failed Failed/Unknown + // do nothing + if instance.Status.Phase == kubegpusparsev1.TrainingJobFailed { + logs.Info("in failed!!!!!") + } + for _, podName := range instance.Status.PodNames { + pod := &v1.Pod{} + if err := r.Get(ctx, types.NamespacedName{Namespace: instance.Namespace, Name: podName}, pod); err != nil && !errors.IsNotFound(err) { + logs.Error(err, fmt.Sprintf("running: get pod failed, podName:%s, err:%v", podName, err)) + return ctrl.Result{}, err + } else if err != nil { + logs.Info(fmt.Sprintf("running: pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } + if pod.Status.Phase == v1.PodRunning { + instance.Status.Phase = kubegpusparsev1.TrainingJobRunning + return ctrl.Result{RequeueAfter: time.Second * 5}, nil + } else if pod.Status.Phase == v1.PodPending { + instance.Status.Phase = kubegpusparsev1.TrainingJobPending + return ctrl.Result{RequeueAfter: time.Second * 5}, nil + } else { + if dbPod, ok := dbPodsMap[pod.Name]; !ok { + logs.Info(fmt.Sprintf("finish/failed: db pod not found, podName:%s", podName)) + instance.Status.Phase = kubegpusparsev1.TrainingJobInitial + return ctrl.Result{RequeueAfter: time.Second}, nil + } else if dbPod.EndTimeStamp == 0 { + r.recordFinishPod(ctx, dbPod, pod) + updatePodsMap[pod.Name] = dbPod + dbDLJob.EndTimeStamp = time.Now().Unix() + } + } + } + } + + return ctrl.Result{}, nil +} + +func (r *RecommendDLJobReconciler) configMapName(podName string) string { + return fmt.Sprintf("%s-nvidia-gpu-env", podName) +} + +func (r *RecommendDLJobReconciler) recordRuningPod(ctx context.Context, dbPod *models.DlJobPod, pod *v1.Pod) error { + dbPod.StartTimeStamp = time.Now().Unix() + dbPod.Node = pod.Status.HostIP + configMap := &v1.ConfigMap{} + if err := r.Get(ctx, types.NamespacedName{Name: r.configMapName(pod.Name), Namespace: pod.Namespace}, configMap); err != nil && !errors.IsNotFound(err) { + return err + } else if err != nil { + fmt.Printf("Warning: configMap not found, name:%s, namespace:%s", pod.Name, pod.Namespace) + return nil + } + if uuids, ok := configMap.Data[CONFIGMAP_NVIDIA_DEVICES_KEY]; ok { + dbPod.UUIDs = uuids + if len(uuids) != 0 { + dbPod.GPURequest = len(strings.Split(dbPod.UUIDs, ",")) + } + } + return nil +} + +func (r *RecommendDLJobReconciler) recordFinishPod(ctx context.Context, dbPod *models.DlJobPod, pod *v1.Pod) { + dbPod.EndTimeStamp = time.Now().Unix() + if dbPod.StartTimeStamp != 0 { + dbPod.JCT = float32(dbPod.EndTimeStamp - dbPod.StartTimeStamp) + } else { + dbPod.JCT = 0 + } +} + +func (r *RecommendDLJobReconciler) CreatePodAndConfigMap(ctx context.Context, instance *kubegpusparsev1.RecommendDLJob, pod *v1.Pod) error { + configMap := &v1.ConfigMap{} + if err := r.Get(ctx, types.NamespacedName{Namespace: pod.Namespace, Name: r.configMapName(pod.Name)}, configMap); err != nil && !errors.IsNotFound(err) { + return fmt.Errorf("get configmap failed, pod:%s, configMap:%s, err:%v", pod.Name, r.configMapName(pod.Name), err) + } else if err != nil { + configMap = &v1.ConfigMap{ + ObjectMeta: ctrl.ObjectMeta{ + Name: r.configMapName(pod.Name), + Namespace: pod.Namespace, + }, + Data: map[string]string{ + CONFIGMAP_NVIDIA_DEVICES_KEY: "", + CONFIGMAP_POD_NAME_KEY: pod.Name, + CONFIGMAP_POD_HOST_KEY: "", + }, + } + if err := controllerutil.SetControllerReference(instance, configMap, r.Scheme); err != nil { + return fmt.Errorf("set controller reference failed, configMap:%s err:%v", r.configMapName(pod.Name), err) + } + if err = r.Create(ctx, configMap); err != nil { + return fmt.Errorf("create config map failed, pod:%s, configMap:%s, err:%v", pod.Name, r.configMapName(pod.Name), err) + } + } + if err := controllerutil.SetControllerReference(instance, pod, r.Scheme); err != nil { + return fmt.Errorf("set controller reference failed, pod:%s err:%v", pod.Name, err) + } + if err := r.Create(ctx, pod); err != nil { + return fmt.Errorf("create pod failed, pod:%s, err:%v", pod.Name, err) + } + return nil +} + +func (r *RecommendDLJobReconciler) generatePodList(ctx context.Context, instance *kubegpusparsev1.RecommendDLJob, logs logr.Logger) ([]*v1.Pod, error) { + ret := make([]*v1.Pod, 0, instance.Spec.Replicas) + inputSize := 1 + for _, s := range instance.Spec.InputTensor { + inputSize *= s + } + taskInfo := &models.TaskInfo{ + TaskID: 0, + IsEnd2End: true, + JobUUID: string(instance.UID), + Macs: float32(instance.Spec.Macs) / 1e6, + Params: float32(instance.Spec.Params) / 1e3, + BatchSize: instance.Spec.BatchSize, + EmbeddingSizeTotal: float32(instance.Spec.EmbeddingSizeTotal) / 1e4, + EmbeddingDimTotal: instance.Spec.EmbeddingDimTotal, + EmbeddingTableCount: instance.Spec.EmbeddingTableCount, + InputSize: inputSize, + } + relatedPods := make([]models.TaskRelationship, 0, len(instance.Spec.RelationShips)) + for _, relationship := range instance.Spec.RelationShips { + otherDLJob := &kubegpusparsev1.RecommendDLJob{} + if err := r.Get(ctx, types.NamespacedName{Name: relationship.JobName, Namespace: relationship.JobNamespace}, otherDLJob); err != nil && !errors.IsNotFound(err) { + return nil, err + } else if err != nil { + logs.Error(err, fmt.Sprintf("relationship dl job not found, name:%s, namespace:%s", relationship.JobName, relationship.JobNamespace)) + continue + } + relatedPods = append(relatedPods, models.TaskRelationship{ + Namespace: relationship.JobNamespace, + Type: string(relationship.Type), + PodsList: otherDLJob.Status.PodNames, + }) + } + taskInfo.RelatedPods = relatedPods + datasets := make([]models.DataSetInfo, 0, len(instance.Spec.DataSets)) + for _, dataset := range instance.Spec.DataSets { + realDataSet := kubegpusparsev1.DataSet{} + err := r.Client.Get(ctx, types.NamespacedName{Namespace: instance.Namespace, Name: dataset.Name}, &realDataSet) + if err != nil { + return nil, err + } + datasets = append(datasets, models.DataSetInfo{ + Name: dataset.Name, + Size: realDataSet.Spec.Size, + }) + } + taskInfo.DataSets = datasets + + taskInfoData, _ := json.Marshal(taskInfo) + relationShipData, _ := json.Marshal(instance.Spec.RelationShips) + // TODO bind pod dataset volume + for i := 0; i < int(instance.Spec.Replicas); i++ { + podMeta := *instance.Spec.Template.ObjectMeta.DeepCopy() + podMeta.Name = fmt.Sprintf("%s-%s-%d", instance.Name, instance.Status.UUID, i) + podMeta.Namespace = instance.Namespace + if len(podMeta.Labels) == 0 { + podMeta.Labels = make(map[string]string) + } + podMeta.Labels[models.KUBE_GPU_SPARSE_JOB_NAME_LABEL_KEY] = instance.Name + if len(podMeta.Annotations) == 0 { + podMeta.Annotations = make(map[string]string) + } + podMeta.Annotations[models.KUBE_GPU_SPARSE_TASK_INFO_LABEL_KEY] = string(taskInfoData) + podMeta.Annotations[models.KUBE_GPU_SPARSE_RELEATION_SHIP_LABEL_KEY] = string(relationShipData) + podMeta.Annotations[KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY] = "{'end2end':{'P100':{'gpu_util_avg':45.48799,'gpu_util_std':9.186965,'mem_usage':1.0037012,'speed':4.99302},'2080':{'gpu_util_avg':41.790016,'gpu_util_std':2.396339,'mem_usage':1.0314355,'speed':4.99302},'TITAN':{'gpu_util_avg':47.87291,'gpu_util_std':4.3506737,'mem_usage':0.8064746,'speed':4.99302},'V100':{'gpu_util_avg':21.12955,'gpu_util_std':2.0380163,'mem_usage':1.1709667,'speed':4.99302,'sm_active_avg':10.70569,'sm_active_std':1.0665554,'sm_occupied_avg':8.260926,'sm_occupied_std':0.8453223,'dram_active_avg':8.585833,'dram_active_std':0.8119861,'fp32_active_avg':0.81868166,'fp32_active_std':0.08741882}},'not_end2end':null}" + + podSpec := *instance.Spec.Template.Spec.DeepCopy() + if instance.Spec.RunningType == kubegpusparsev1.LongRunning { + podSpec.RestartPolicy = v1.RestartPolicyAlways + } else { + podSpec.RestartPolicy = v1.RestartPolicyNever + } + if len(instance.Spec.SchedulerName) == 0 { + logs.Info(fmt.Sprintf("scheduler name empty! %s", instance.Spec.SchedulerName)) + podSpec.SchedulerName = models.SCHEDULER_NAME + instance.Spec.SchedulerName = models.SCHEDULER_NAME + } else { + logs.Info(fmt.Sprintf("scheduler name %s", instance.Spec.SchedulerName)) + podSpec.SchedulerName = instance.Spec.SchedulerName + } + for i := range podSpec.Containers { + if len(podSpec.Containers[i].Env) == 0 { + podSpec.Containers[i].Env = make([]v1.EnvVar, 0) + } + podSpec.Containers[i].Env = append(podSpec.Containers[i].Env, v1.EnvVar{ + Name: CONFIGMAP_NVIDIA_DEVICES_KEY, + ValueFrom: &v1.EnvVarSource{ + ConfigMapKeyRef: &v1.ConfigMapKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: r.configMapName(podMeta.Name), + }, + Key: CONFIGMAP_NVIDIA_DEVICES_KEY, + }, + }, + }) + } + + // prepare dataset local cache + if len(datasets) != 0 { + // init container + podSpec.InitContainers = append(podSpec.InitContainers, v1.Container{ + Name: "init-container", + Image: "pxllpx/init-container:latest", + Command: []string{"/init_container"}, + Env: []v1.EnvVar{ + { + Name: "POD_NAME", + Value: podMeta.Name, + }, + { + Name: "POD_NAMESPACE", + Value: podMeta.Namespace, + }, + { + Name: "NODE_HOST", + ValueFrom: &v1.EnvVarSource{ + ConfigMapKeyRef: &v1.ConfigMapKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: r.configMapName(podMeta.Name), + }, + Key: CONFIGMAP_POD_HOST_KEY, + }, + }, + }, + }, + }) + + // container volume mount + for i := range podSpec.Containers { + if len(podSpec.Containers[i].VolumeMounts) == 0 { + podSpec.Containers[i].VolumeMounts = []v1.VolumeMount{} + } + podSpec.Containers[i].VolumeMounts = append(podSpec.Containers[i].VolumeMounts, v1.VolumeMount{ + Name: "pod-dir", + MountPath: "/.pod", + }, v1.VolumeMount{ + Name: "dataset-dir", + MountPath: "/.dataset", + }, v1.VolumeMount{ + Name: "ceph-dir", + MountPath: "/.ceph", + }) + } + + // hostpath volume + if len(podSpec.Volumes) == 0 { + podSpec.Volumes = []v1.Volume{} + } + podSpec.Volumes = append(podSpec.Volumes, v1.Volume{ + Name: "pod-dir", + VolumeSource: v1.VolumeSource{ + HostPath: &v1.HostPathVolumeSource{ + Path: fmt.Sprintf(pod_path_format, podMeta.Name), + }, + }, + }, v1.Volume{ + Name: "dataset-dir", + VolumeSource: v1.VolumeSource{ + HostPath: &v1.HostPathVolumeSource{ + Path: dataset_path, + }, + }, + }, v1.Volume{ + Name: "ceph-dir", + VolumeSource: v1.VolumeSource{ + HostPath: &v1.HostPathVolumeSource{ + Path: ceph_path, + }, + }, + }) + } + + ret = append(ret, &v1.Pod{ + ObjectMeta: podMeta, + Spec: podSpec, + }) + } + return ret, nil +} + +func (r *RecommendDLJobReconciler) verify(instance *kubegpusparsev1.RecommendDLJob) (err error) { + if len(instance.Spec.VocabularySize) != 0 { + instance.Spec.EmbeddingSizeTotal = 0 + for _, size := range instance.Spec.VocabularySize { + instance.Spec.EmbeddingSizeTotal += int64(size) + } + instance.Spec.EmbeddingTableCount = len(instance.Spec.VocabularySize) + } + if len(instance.Spec.EmbeddingDim) != 0 { + instance.Spec.EmbeddingDimTotal = 0 + for _, dim := range instance.Spec.EmbeddingDim { + instance.Spec.EmbeddingDimTotal += dim + } + } + if len(instance.Spec.RelationShips) != 0 { + instance.Spec.EmbeddingSizeTotal = 0 + instance.Spec.EmbeddingDimTotal = 0 + instance.Spec.EmbeddingTableCount = 0 + } + return nil +} + +// SetupWithManager sets up the controller with the Manager. +func (r *RecommendDLJobReconciler) SetupWithManager(mgr ctrl.Manager) error { + return ctrl.NewControllerManagedBy(mgr). + For(&kubegpusparsev1.RecommendDLJob{}). + Owns(&v1.Pod{}). + Owns(&v1.ConfigMap{}). + Complete(r) +} diff --git a/crd-controller/internal/controller/suite_test.go b/crd-controller/internal/controller/suite_test.go new file mode 100644 index 0000000000000000000000000000000000000000..8c360a61944243912c0772fb6850f2915447ac89 --- /dev/null +++ b/crd-controller/internal/controller/suite_test.go @@ -0,0 +1,80 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package controller + +import ( + "path/filepath" + "testing" + + . "github.com/onsi/ginkgo/v2" + . "github.com/onsi/gomega" + + "k8s.io/client-go/kubernetes/scheme" + "k8s.io/client-go/rest" + "sigs.k8s.io/controller-runtime/pkg/client" + "sigs.k8s.io/controller-runtime/pkg/envtest" + logf "sigs.k8s.io/controller-runtime/pkg/log" + "sigs.k8s.io/controller-runtime/pkg/log/zap" + + kubegpusparsev1 "kube-gpu/scheduler/crd-controller/v2/api/v1" + //+kubebuilder:scaffold:imports +) + +// These tests use Ginkgo (BDD-style Go testing framework). Refer to +// http://onsi.github.io/ginkgo/ to learn more about Ginkgo. + +var cfg *rest.Config +var k8sClient client.Client +var testEnv *envtest.Environment + +func TestControllers(t *testing.T) { + RegisterFailHandler(Fail) + + RunSpecs(t, "Controller Suite") +} + +var _ = BeforeSuite(func() { + logf.SetLogger(zap.New(zap.WriteTo(GinkgoWriter), zap.UseDevMode(true))) + + By("bootstrapping test environment") + testEnv = &envtest.Environment{ + CRDDirectoryPaths: []string{filepath.Join("..", "..", "config", "crd", "bases")}, + ErrorIfCRDPathMissing: true, + } + + var err error + // cfg is defined in this file globally. + cfg, err = testEnv.Start() + Expect(err).NotTo(HaveOccurred()) + Expect(cfg).NotTo(BeNil()) + + err = kubegpusparsev1.AddToScheme(scheme.Scheme) + Expect(err).NotTo(HaveOccurred()) + + //+kubebuilder:scaffold:scheme + + k8sClient, err = client.New(cfg, client.Options{Scheme: scheme.Scheme}) + Expect(err).NotTo(HaveOccurred()) + Expect(k8sClient).NotTo(BeNil()) + +}) + +var _ = AfterSuite(func() { + By("tearing down the test environment") + err := testEnv.Stop() + Expect(err).NotTo(HaveOccurred()) +}) diff --git a/crd-controller/internal/dal/db_job.go b/crd-controller/internal/dal/db_job.go new file mode 100644 index 0000000000000000000000000000000000000000..6d321cfc392c3e5c71451d2107465bfe18e87977 --- /dev/null +++ b/crd-controller/internal/dal/db_job.go @@ -0,0 +1,78 @@ +package dal + +import ( + "context" + "fmt" + "kube-gpu/scheduler/crd-controller/v2/internal/models" + + "gorm.io/gorm" +) + +func IsRecordNotFound(err error) bool { + return err == gorm.ErrRecordNotFound +} + +func GetDLJobByUUID(ctx context.Context, uuid string) (job *models.DlJob, err error) { + job = &models.DlJob{} + if err = DB.WithContext(ctx).Where("job_uuid=?", uuid).First(job).Error; err != nil { + return nil, err + } + return job, nil +} + +func UpsertDLJob(ctx context.Context, job *models.DlJob) error { + if len(job.JobUUID) == 0 { + return fmt.Errorf("invalid param: empty job uuid") + } + + dbjob, err := GetDLJobByUUID(ctx, job.JobUUID) + if err != nil && !IsRecordNotFound(err) { + return err + } else if err == nil { + job.Id = dbjob.Id + } + if err = DB.WithContext(ctx).Save(job).Error; err != nil { + return err + } + return nil +} + +func GetDLJobPodsByUUID(ctx context.Context, uuid string) (pods []*models.DlJobPod, err error) { + pods = []*models.DlJobPod{} + if err = DB.WithContext(ctx).Where("job_uuid=?", uuid).Find(&pods).Error; err != nil { + return nil, err + } + return pods, nil +} + +func GetDLJobPodByPodName(ctx context.Context, podName string) (pod *models.DlJobPod, err error) { + pod = &models.DlJobPod{} + if err = DB.WithContext(ctx).Where("pod_name=?", podName).First(pod).Error; err != nil { + return nil, err + } + return pod, nil +} + +func UpsertDLJobPod(ctx context.Context, pod *models.DlJobPod) error { + if len(pod.JobUUID) == 0 { + return fmt.Errorf("invalid param: empty job uuid") + } + if len(pod.PodName) == 0 { + return fmt.Errorf("invalid param: empty pod name") + } + + dbPod, err := GetDLJobPodByPodName(ctx, pod.PodName) + if err != nil && !IsRecordNotFound(err) { + return err + } else if err == nil { + if dbPod.JobUUID != pod.JobUUID { + return fmt.Errorf("invalid param: pod job uuid and pod name not match") + } + pod.Id = dbPod.Id + } + + if err = DB.WithContext(ctx).Save(pod).Error; err != nil { + return err + } + return nil +} diff --git a/crd-controller/internal/dal/db_job_test.go b/crd-controller/internal/dal/db_job_test.go new file mode 100644 index 0000000000000000000000000000000000000000..b324854aedf2ac5bfac1842b5d4ef66807a9f9bb --- /dev/null +++ b/crd-controller/internal/dal/db_job_test.go @@ -0,0 +1,163 @@ +package dal + +import ( + "context" + "kube-gpu/scheduler/crd-controller/v2/internal/models" + "testing" + + "github.com/stretchr/testify/assert" +) + +func InitTest() { + Init("10.1.84.12") +} + +func jobEquals(a, b *models.DlJob) bool { + return a.JobUUID == b.JobUUID && + a.JobName == b.JobName && + a.JobNamespace == b.JobNamespace && + a.Username == b.Username && + a.RunType == b.RunType && + a.EmbeddingSizeTotal == b.EmbeddingSizeTotal && + a.EmbeddingDimTotal == b.EmbeddingDimTotal && + a.EmbeddingTableCount == b.EmbeddingTableCount && + a.Macs == b.Macs && + a.Params == b.Params && + a.BatchSize == b.BatchSize && + a.JCT == b.JCT && + a.StartTimeStamp == b.StartTimeStamp && + a.EndTimeStamp == b.EndTimeStamp +} + +func podEquals(a, b *models.DlJobPod) bool { + return a.JobName == b.JobName && + a.JobNamespace == b.JobNamespace && + a.JobUUID == b.JobUUID && + a.PodName == b.PodName && + a.Node == b.Node && + a.GPURequest == b.GPURequest && + a.UUIDs == b.UUIDs && + a.StartTimeStamp == b.StartTimeStamp && + a.EndTimeStamp == b.EndTimeStamp && + a.JCT == b.JCT +} + +func TestDlJobUpsertAndGet(t *testing.T) { + InitTest() + uuid := "22333666" + podName1 := "22333666-1" + podName2 := "22333666-2" + + job := &models.DlJob{ + JobUUID: uuid, + JobName: "test", + JobNamespace: "test", + Username: "test", + RunType: "long-running", + EmbeddingSizeTotal: 0, + EmbeddingDimTotal: 0, + EmbeddingTableCount: 0, + Macs: 6666, + Params: 7777, + BatchSize: 32, + } + pod1 := &models.DlJobPod{ + JobUUID: uuid, + JobName: "test", + JobNamespace: "test", + PodName: podName1, + Node: "dell-64", + GPURequest: 0, + UUIDs: "", + } + pod2 := &models.DlJobPod{ + JobUUID: uuid, + JobName: "test", + JobNamespace: "test", + PodName: podName2, + Node: "dell-64", + GPURequest: 1, + UUIDs: "GPU233333", + } + + ctx := context.Background() + DB.WithContext(ctx).Where("job_uuid=?", job.JobUUID).Delete(job) + DB.WithContext(ctx).Where("job_uuid=?", job.JobUUID).Delete(pod1) + t.Run("test dl job", func(t *testing.T) { + _, err := GetDLJobByUUID(ctx, job.JobUUID) + assert.NotNil(t, err) + assert.True(t, IsRecordNotFound(err)) + err = UpsertDLJob(ctx, job) + assert.Nil(t, err) + assert.Greater(t, job.Id, uint64(0)) + + dbJob, err := GetDLJobByUUID(ctx, job.JobUUID) + assert.Nil(t, err) + assert.Equal(t, dbJob.Id, job.Id) + assert.True(t, jobEquals(job, dbJob)) + + job.EmbeddingDimTotal = 32 + err = UpsertDLJob(ctx, job) + assert.Nil(t, err) + assert.Equal(t, dbJob.Id, job.Id) + + dbJob, err = GetDLJobByUUID(ctx, job.JobUUID) + assert.Nil(t, err) + assert.Equal(t, dbJob.Id, job.Id) + assert.True(t, jobEquals(job, dbJob)) + + job.Id = 0 + job.BatchSize = 666 + err = UpsertDLJob(ctx, job) + assert.Nil(t, err) + assert.Equal(t, job.Id, dbJob.Id) + }) + t.Run("test dl job pod", func(t *testing.T) { + pods, err := GetDLJobPodsByUUID(ctx, job.JobUUID) + assert.Nil(t, err) + assert.Len(t, pods, 0) + + assert.Nil(t, UpsertDLJobPod(ctx, pod1)) + assert.Nil(t, UpsertDLJobPod(ctx, pod2)) + + dbPods, err := GetDLJobPodsByUUID(ctx, job.JobUUID) + assert.Nil(t, err) + assert.Len(t, dbPods, 2) + for _, dbPod := range dbPods { + if dbPod.PodName == podName1 { + assert.True(t, podEquals(pod1, dbPod)) + } else if dbPod.PodName == podName2 { + assert.True(t, podEquals(pod2, dbPod)) + } else { + assert.FailNow(t, "pod not found") + } + } + + dbPod, err := GetDLJobPodByPodName(ctx, podName1) + assert.Nil(t, err) + assert.True(t, podEquals(dbPod, pod1)) + + pod1.JCT = 4453.643 + assert.Nil(t, UpsertDLJobPod(ctx, pod1)) + + dbPods, err = GetDLJobPodsByUUID(ctx, job.JobUUID) + assert.Nil(t, err) + assert.Len(t, dbPods, 2) + for _, dbPod := range dbPods { + if dbPod.PodName == podName1 { + assert.True(t, podEquals(pod1, dbPod)) + } else if dbPod.PodName == podName2 { + assert.True(t, podEquals(pod2, dbPod)) + } else { + assert.FailNow(t, "pod not found") + } + } + + pod1.JobUUID = "not_exist" + assert.NotNil(t, UpsertDLJobPod(ctx, pod1)) + }) + + DB.WithContext(ctx).Delete(job) + DB.WithContext(ctx).Delete(pod1) + DB.WithContext(ctx).Delete(pod2) +} diff --git a/crd-controller/internal/dal/init.go b/crd-controller/internal/dal/init.go new file mode 100644 index 0000000000000000000000000000000000000000..98a50e5ff49743405ddbfa1ac11ef01fbeb81b55 --- /dev/null +++ b/crd-controller/internal/dal/init.go @@ -0,0 +1,39 @@ +package dal + +import ( + "fmt" + + "gorm.io/driver/mysql" + "gorm.io/gorm" +) + +const ( + dbHost = "mysqlsvc.kube-gpu-sparse" + dbPort = 3306 + dbName = "kube_gpu_sparse" + dbUser = "root" + dbPasswd = "mnPkdBEcXmCMe7sdR" +) + +var ( + DB *gorm.DB +) + +func Init(host string) { + if len(host) == 0 { + host = dbHost + } + dsn := fmt.Sprintf("%s:%s@tcp(%s:%d)/%s?charset=utf8mb4&parseTime=True&loc=Local", + dbUser, + dbPasswd, + host, + dbPort, + dbName, + ) + var err error + DB, err = gorm.Open(mysql.Open(dsn), &gorm.Config{}) + if err != nil { + fmt.Printf("init db failed, err:%v", err) + panic(err) + } +} diff --git a/crd-controller/internal/dal/lock.go b/crd-controller/internal/dal/lock.go new file mode 100644 index 0000000000000000000000000000000000000000..0c74ea01c6b1492171c3a8e64749dc39afb59a10 --- /dev/null +++ b/crd-controller/internal/dal/lock.go @@ -0,0 +1,20 @@ +package dal + +import ( + "context" + "kube-gpu/scheduler/crd-controller/v2/internal/models" + "time" +) + +func TryLock(ctx context.Context, identity string) error { + return DB.WithContext(ctx).Create(&models.Lock{ + Identify: identity, + LockTimestamp: time.Now().Unix(), + }).Error +} + +func UnLock(ctx context.Context, identity string) error { + return DB.WithContext(ctx).Where("identify=?", identity).Delete(&models.Lock{ + Identify: identity, + }).Error +} diff --git a/crd-controller/internal/models/consts.go b/crd-controller/internal/models/consts.go new file mode 100644 index 0000000000000000000000000000000000000000..ffe22d428fc816f17a2f66f3c29dc64419b9644c --- /dev/null +++ b/crd-controller/internal/models/consts.go @@ -0,0 +1,9 @@ +package models + +const ( + KUBE_GPU_SPARSE_JOB_NAME_LABEL_KEY = "kube-gpu-sparse/job_name" + KUBE_GPU_SPARSE_TASK_INFO_LABEL_KEY = "kube-gpu-sparse/task_info" // json + KUBE_GPU_SPARSE_RELEATION_SHIP_LABEL_KEY = "kube-gpu-sparse/releation_ship" // json + + SCHEDULER_NAME = "kube-gpu-sparse-scheduler" +) diff --git a/crd-controller/internal/models/dal.go b/crd-controller/internal/models/dal.go new file mode 100644 index 0000000000000000000000000000000000000000..85e75da701eaeb4459f3ed699b3171772d72a6bb --- /dev/null +++ b/crd-controller/internal/models/dal.go @@ -0,0 +1,39 @@ +package models + +type DlJob struct { + Id uint64 `gorm:"column:id;type:BIGINT;autoIncrement;not null" json:"id"` + JobUUID string `gorm:"column:job_uuid;type:varchar(100);not null" json:"job_uuid"` + JobName string `gorm:"column:job_name;type:varchar(100);not null" json:"job_name"` + JobNamespace string `gorm:"column:job_namespace;type:varchar(100);not null" json:"job_namespace"` + Username string `gorm:"column:username;type:varchar(20);not null" json:"username"` + RunType string `gorm:"column:run_type;type:varchar(20);not null" json:"run_type"` + EmbeddingSizeTotal float32 `gorm:"column:embedding_size_total;type:float;not null" json:"embedding_size_total"` // W + EmbeddingDimTotal int `gorm:"column:embedding_dim_total;type:int;not null" json:"embedding_dim_total"` + EmbeddingTableCount int `gorm:"column:embedding_table_count;type:int;not null" json:"embedding_table_count"` + Macs float32 `gorm:"column:macs;type:float;not null" json:"macs"` // M + Params float32 `gorm:"column:params;type:float;not null" json:"params"` // K + BatchSize int `gorm:"column:batch_size;type:int;not null" json:"batch_size"` + JCT float32 `gorm:"column:jct;type:float;not null" json:"jct"` + StartTimeStamp int64 `gorm:"column:start_timestamp;type:int(15);not null" json:"start_timestamp"` + EndTimeStamp int64 `gorm:"column:end_timestamp;type:int(15);not null" json:"end_timestamp"` +} + +type DlJobPod struct { + Id uint64 `gorm:"column:id;type:BIGINT;autoIncrement;not null" json:"id"` + JobUUID string `gorm:"column:job_uuid;type:varchar(100);not null" json:"job_uuid"` + JobName string `gorm:"column:job_name;type:varchar(100);not null" json:"job_name"` + JobNamespace string `gorm:"column:job_namespace;type:varchar(100);not null" json:"job_namespace"` + PodName string `gorm:"column:pod_name;type:varchar(100);not null" json:"pod_name"` + Node string `gorm:"column:node;type:varchar(20);not null" json:"node"` + GPURequest int `gorm:"column:gpu_request;type:int;not null" json:"gpu_request"` + UUIDs string `gorm:"column:uuids;type:varchar(500);not null" json:"uuids"` + JCT float32 `gorm:"column:jct;type:float;not null" json:"jct"` + StartTimeStamp int64 `gorm:"column:start_timestamp;type:int(15);not null" json:"start_timestamp"` + EndTimeStamp int64 `gorm:"column:end_timestamp;type:int(15);not null" json:"end_timestamp"` +} + +type Lock struct { + Id uint64 `gorm:"column:id;type:BIGINT;autoIncrement;not null" json:"id"` + Identify string `gorm:"column:identify;type:varchar(500);not null" json:"identify"` + LockTimestamp int64 `gorm:"column:lock_timestamp;type:int(15);not null" json:"lock_timestamp"` +} diff --git a/crd-controller/internal/models/models.go b/crd-controller/internal/models/models.go new file mode 100644 index 0000000000000000000000000000000000000000..c65cea53caab043a5bb33215d7155bf51eddaa31 --- /dev/null +++ b/crd-controller/internal/models/models.go @@ -0,0 +1,28 @@ +package models + +// webhook task info +type TaskInfo struct { + TaskID uint64 `json:"task_id"` + JobUUID string `json:"job_uuid"` + IsEnd2End bool `json:"is_end2end"` + Macs float32 `json:"macs"` // M + Params float32 `json:"params"` // K + BatchSize int `json:"batch_size"` + EmbeddingSizeTotal float32 `json:"embedding_size_total"` // W + EmbeddingDimTotal int `json:"embedding_dim_total"` + EmbeddingTableCount int `json:"embedding_table_count"` + RelatedPods []TaskRelationship `json:"related_pods"` + DataSets []DataSetInfo `json:"datasets"` + InputSize int `json:"input_size"` +} + +type TaskRelationship struct { + Namespace string `json:"namespace"` + PodsList []string `josn:"pods_list"` + Type string `json:"type"` +} + +type DataSetInfo struct { + Name string `json:"name"` + Size int `json:"size"` +} diff --git a/daemonset/Dockerfile b/daemonset/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..261a7e1926f0bea04be45ff1a795817dff98fbf6 --- /dev/null +++ b/daemonset/Dockerfile @@ -0,0 +1,13 @@ +FROM golang:1.21-alpine AS builder +WORKDIR / +COPY . / +RUN go env -w GO111MODULE=on +RUN go env -w GOPROXY=https://goproxy.cn,direct +RUN go mod download +RUN CGO_ENABLED=0 go build -o daemonset main.go + +FROM alpine AS runner +WORKDIR / +COPY --from=builder /daemonset . +ENTRYPOINT ["/daemonset"] + diff --git a/daemonset/README.md b/daemonset/README.md new file mode 100644 index 0000000000000000000000000000000000000000..37d069bb06213c5ccac0f88c9bf0ab29f88d5294 --- /dev/null +++ b/daemonset/README.md @@ -0,0 +1,17 @@ +## 训练数据缓存分配模块 + +- 分配逻辑(TODO) + - 根据预测得到的训练速度,以及数据集大小,计算缓存效率,根据缓存效率由高到低分配 +- 分配方式 + - 每个节点三个目录 + - `/.ceph`:ceph目录 + - `/.dataset`:数据集目录 + - `/.pod/${Pod_Name}/${Dataset_Name}`:每个Pod内部的数据集目录,根据是否分配缓存,软链接至对应本地节点目录 + - 每个Pod内三个目录 + - `/.pod` --> `/.pod/${Pod_Name}` + - `/.ceph` --> `/.ceph` + - `/.dataset` --> `/.dataset` +- 接口 + - `/bind`:新的Pod提交至本节点,决策是否分配缓存,若分配,则copy数据集至本地目录,并link + - `/check_ready`:给init_container调用查询数据集是否拷贝完成 + - `/release`:强制释放某个数据集 \ No newline at end of file diff --git a/daemonset/api/v1/dataset_types.go b/daemonset/api/v1/dataset_types.go new file mode 100644 index 0000000000000000000000000000000000000000..3cb0a1167492edaf377e9401e905ce8300cb22e1 --- /dev/null +++ b/daemonset/api/v1/dataset_types.go @@ -0,0 +1,86 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package v1 + +import ( + metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" +) + +type DataSetPhase string + +const ( + DataSetPhaseInitial = "Initial" + DataSetPhasePVCPending = "Pending" + DataSetPhasePVCBound = "Bound" + DataSetPhaseDownloading = "Downloading" + DataSetPhaseReady = "Ready" +) + +// EDIT THIS FILE! THIS IS SCAFFOLDING FOR YOU TO OWN! +// NOTE: json tags are required. Any new fields you add must have json tags for the fields to be serialized. + +// DataSetSpec defines the desired state of DataSet +type DataSetSpec struct { + // INSERT ADDITIONAL SPEC FIELDS - desired state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // bind pvc name + PVC string `json:"pvc,omitempty"` + + // donwnloadUrl + DownloadURL string `json:"download_url,omitempty"` + + // size GB + Size int `json:"size,omitempty"` +} + +// DataSetStatus defines the observed state of DataSet +type DataSetStatus struct { + // INSERT ADDITIONAL STATUS FIELD - define observed state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // phase + // +kubebuilder:validation:Enum=Initial;Pending;Bound;Downloading;Ready + Phase DataSetPhase `json:"phase,omitempty"` +} + +//+kubebuilder:object:root=true +//+kubebuilder:printcolumn:name="Phase",type="string",JSONPath=".status.phase",description="The DataSet Status Phase" +//+kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +//+kubebuilder:subresource:status + +// DataSet is the Schema for the datasets API +type DataSet struct { + metav1.TypeMeta `json:",inline"` + metav1.ObjectMeta `json:"metadata,omitempty"` + + Spec DataSetSpec `json:"spec,omitempty"` + Status DataSetStatus `json:"status,omitempty"` +} + +//+kubebuilder:object:root=true + +// DataSetList contains a list of DataSet +type DataSetList struct { + metav1.TypeMeta `json:",inline"` + metav1.ListMeta `json:"metadata,omitempty"` + Items []DataSet `json:"items"` +} + +func init() { + SchemeBuilder.Register(&DataSet{}, &DataSetList{}) +} diff --git a/daemonset/api/v1/groupversion_info.go b/daemonset/api/v1/groupversion_info.go new file mode 100644 index 0000000000000000000000000000000000000000..fb9c3e0472afcf0e7d72ac2ef287745faee0962f --- /dev/null +++ b/daemonset/api/v1/groupversion_info.go @@ -0,0 +1,36 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +// Package v1 contains API Schema definitions for the kube-gpu-sparse v1 API group +// +kubebuilder:object:generate=true +// +groupName=kube-gpu-sparse.kube-gpu-sparse.io +package v1 + +import ( + "k8s.io/apimachinery/pkg/runtime/schema" + "sigs.k8s.io/controller-runtime/pkg/scheme" +) + +var ( + // GroupVersion is group version used to register these objects + GroupVersion = schema.GroupVersion{Group: "kube-gpu-sparse.kube-gpu-sparse.io", Version: "v1"} + + // SchemeBuilder is used to add go types to the GroupVersionKind scheme + SchemeBuilder = &scheme.Builder{GroupVersion: GroupVersion} + + // AddToScheme adds the types in this group-version to the given scheme. + AddToScheme = SchemeBuilder.AddToScheme +) diff --git a/daemonset/api/v1/recommenddljob_types.go b/daemonset/api/v1/recommenddljob_types.go new file mode 100644 index 0000000000000000000000000000000000000000..5782b5ec2da496da4afd2ed2f141fb6c90f50789 --- /dev/null +++ b/daemonset/api/v1/recommenddljob_types.go @@ -0,0 +1,173 @@ +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +package v1 + +import ( + v1 "k8s.io/api/core/v1" + metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" +) + +// EDIT THIS FILE! THIS IS SCAFFOLDING FOR YOU TO OWN! +// NOTE: json tags are required. Any new fields you add must have json tags for the fields to be serialized. + +type TrainingJobStatus string + +const ( + TrainingJobInitial = "Initial" + TrainingJobPending = "Pending" + TrainingJobRunning = "Running" + TrainingJobFinished = "Finished" + TrainingJobFailed = "Failed" +) + +type RunningType string + +const ( + LongRunning = "long-running" + OneShot = "one-shot" +) + +type DataRelationShipType string + +const ( + InputRelation = "input" + OutputRelation = "output" + BothWay = "bothway" +) + +type DataRelationShip struct { + // releationship type + // +kubebuilder:validation:Enum=input;output;bothway + Type DataRelationShipType `json:"type"` // input, output, bothyway + + // releationship job + JobName string `json:"job_name"` + + // relationship job namespace + JobNamespace string `json:"job_namespace"` +} + +type DataSetRef struct { + // dataset name + Name string `json:"name"` + + // datasets ref + // +kubebuilder:validation:Optional + DataSet DataSetSpec `json:"dataset"` +} + +// RecommendDLJobSpec defines the desired state of RecommendDLJob +type RecommendDLJobSpec struct { + // INSERT ADDITIONAL SPEC FIELDS - desired state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // pod replicas + // +kubebuilder:validation:Minimum=1 + Replicas int32 `json:"replicas,omitempty"` + + // running type + // +kubebuilder:validation:Enum=long-running;one-shot + RunningType RunningType `json:"running_type"` + + // dataset + DataSets []DataSetRef `json:"datasets,omitempty"` + + // relationship + RelationShips []DataRelationShip `json:"releation_ships,omitempty"` + + // pod template + Template v1.PodTemplateSpec `json:"template,omitempty"` + + // userinfo + Username string `json:"username"` + + // taskinfo macs + Macs int64 `json:"macs"` + + // taskinfo params + Params int64 `json:"params"` + + // taskinfo batch_size + BatchSize int `json:"batch_size"` + + // taskinfo embedding size total + // +kubebuilder:validation:Optional + EmbeddingSizeTotal int64 `json:"embedding_size_total"` + + // taskinfo emebdding dim total + // +kubebuilder:validation:Optional + EmbeddingDimTotal int `json:"embedding_dim_total"` + + // taskinfo embedding tables + // +kubebuilder:validation:Optional + EmbeddingTableCount int `json:"embedding_table_count"` + + // vocabulary_size + // +kubebuilder:validation:Optional + VocabularySize []int `json:"vocabulary_size"` + + // embeddig_dim + // +kubebuilder:validation:Optional + EmbeddingDim []int `json:"embedding_dim"` + + // input_tensor + // +kubebuilder:validation:Optional + InputTensor []int `json:"input_tensor"` +} + +// RecommendDLJobStatus defines the observed state of RecommendDLJob +type RecommendDLJobStatus struct { + // INSERT ADDITIONAL STATUS FIELD - define observed state of cluster + // Important: Run "make" to regenerate code after modifying this file + + // job uuid + UUID string `json:"uuid"` + + // status phase + // +kubebuilder:validation:Enum=Initial;Pending;Running;Finished;Failed + Phase TrainingJobStatus `json:"phase"` + + // pods names + PodNames []string `json:"pod_names"` +} + +//+kubebuilder:object:root=true +//+kubebuilder:printcolumn:name="Phase",type="string",JSONPath=".status.phase",description="The Job Status Phase" +//+kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +//+kubebuilder:subresource:status + +// RecommendDLJob is the Schema for the recommenddljobs API +type RecommendDLJob struct { + metav1.TypeMeta `json:",inline"` + metav1.ObjectMeta `json:"metadata,omitempty"` + + Spec RecommendDLJobSpec `json:"spec,omitempty"` + Status RecommendDLJobStatus `json:"status,omitempty"` +} + +//+kubebuilder:object:root=true + +// RecommendDLJobList contains a list of RecommendDLJob +type RecommendDLJobList struct { + metav1.TypeMeta `json:",inline"` + metav1.ListMeta `json:"metadata,omitempty"` + Items []RecommendDLJob `json:"items"` +} + +func init() { + SchemeBuilder.Register(&RecommendDLJob{}, &RecommendDLJobList{}) +} diff --git a/daemonset/api/v1/zz_generated.deepcopy.go b/daemonset/api/v1/zz_generated.deepcopy.go new file mode 100644 index 0000000000000000000000000000000000000000..cde2da766caed833d5a65b3e7d30d58d50f68804 --- /dev/null +++ b/daemonset/api/v1/zz_generated.deepcopy.go @@ -0,0 +1,266 @@ +//go:build !ignore_autogenerated +// +build !ignore_autogenerated + +/* +Copyright 2023. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +*/ + +// Code generated by controller-gen. DO NOT EDIT. + +package v1 + +import ( + runtime "k8s.io/apimachinery/pkg/runtime" +) + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataRelationShip) DeepCopyInto(out *DataRelationShip) { + *out = *in +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataRelationShip. +func (in *DataRelationShip) DeepCopy() *DataRelationShip { + if in == nil { + return nil + } + out := new(DataRelationShip) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSet) DeepCopyInto(out *DataSet) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ObjectMeta.DeepCopyInto(&out.ObjectMeta) + out.Spec = in.Spec + out.Status = in.Status +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSet. +func (in *DataSet) DeepCopy() *DataSet { + if in == nil { + return nil + } + out := new(DataSet) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *DataSet) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetList) DeepCopyInto(out *DataSetList) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ListMeta.DeepCopyInto(&out.ListMeta) + if in.Items != nil { + in, out := &in.Items, &out.Items + *out = make([]DataSet, len(*in)) + for i := range *in { + (*in)[i].DeepCopyInto(&(*out)[i]) + } + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetList. +func (in *DataSetList) DeepCopy() *DataSetList { + if in == nil { + return nil + } + out := new(DataSetList) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *DataSetList) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetRef) DeepCopyInto(out *DataSetRef) { + *out = *in + out.DataSet = in.DataSet +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetRef. +func (in *DataSetRef) DeepCopy() *DataSetRef { + if in == nil { + return nil + } + out := new(DataSetRef) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetSpec) DeepCopyInto(out *DataSetSpec) { + *out = *in +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetSpec. +func (in *DataSetSpec) DeepCopy() *DataSetSpec { + if in == nil { + return nil + } + out := new(DataSetSpec) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *DataSetStatus) DeepCopyInto(out *DataSetStatus) { + *out = *in +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSetStatus. +func (in *DataSetStatus) DeepCopy() *DataSetStatus { + if in == nil { + return nil + } + out := new(DataSetStatus) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJob) DeepCopyInto(out *RecommendDLJob) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ObjectMeta.DeepCopyInto(&out.ObjectMeta) + in.Spec.DeepCopyInto(&out.Spec) + in.Status.DeepCopyInto(&out.Status) +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJob. +func (in *RecommendDLJob) DeepCopy() *RecommendDLJob { + if in == nil { + return nil + } + out := new(RecommendDLJob) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *RecommendDLJob) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJobList) DeepCopyInto(out *RecommendDLJobList) { + *out = *in + out.TypeMeta = in.TypeMeta + in.ListMeta.DeepCopyInto(&out.ListMeta) + if in.Items != nil { + in, out := &in.Items, &out.Items + *out = make([]RecommendDLJob, len(*in)) + for i := range *in { + (*in)[i].DeepCopyInto(&(*out)[i]) + } + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJobList. +func (in *RecommendDLJobList) DeepCopy() *RecommendDLJobList { + if in == nil { + return nil + } + out := new(RecommendDLJobList) + in.DeepCopyInto(out) + return out +} + +// DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object. +func (in *RecommendDLJobList) DeepCopyObject() runtime.Object { + if c := in.DeepCopy(); c != nil { + return c + } + return nil +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJobSpec) DeepCopyInto(out *RecommendDLJobSpec) { + *out = *in + if in.DataSets != nil { + in, out := &in.DataSets, &out.DataSets + *out = make([]DataSetRef, len(*in)) + copy(*out, *in) + } + if in.RelationShips != nil { + in, out := &in.RelationShips, &out.RelationShips + *out = make([]DataRelationShip, len(*in)) + copy(*out, *in) + } + in.Template.DeepCopyInto(&out.Template) + if in.VocabularySize != nil { + in, out := &in.VocabularySize, &out.VocabularySize + *out = make([]int, len(*in)) + copy(*out, *in) + } + if in.EmbeddingDim != nil { + in, out := &in.EmbeddingDim, &out.EmbeddingDim + *out = make([]int, len(*in)) + copy(*out, *in) + } + if in.InputTensor != nil { + in, out := &in.InputTensor, &out.InputTensor + *out = make([]int, len(*in)) + copy(*out, *in) + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJobSpec. +func (in *RecommendDLJobSpec) DeepCopy() *RecommendDLJobSpec { + if in == nil { + return nil + } + out := new(RecommendDLJobSpec) + in.DeepCopyInto(out) + return out +} + +// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil. +func (in *RecommendDLJobStatus) DeepCopyInto(out *RecommendDLJobStatus) { + *out = *in + if in.PodNames != nil { + in, out := &in.PodNames, &out.PodNames + *out = make([]string, len(*in)) + copy(*out, *in) + } +} + +// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RecommendDLJobStatus. +func (in *RecommendDLJobStatus) DeepCopy() *RecommendDLJobStatus { + if in == nil { + return nil + } + out := new(RecommendDLJobStatus) + in.DeepCopyInto(out) + return out +} diff --git a/daemonset/config/config.yaml b/daemonset/config/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e9d9931c5b1e6f3465ea791ab0e13b042c921f0a --- /dev/null +++ b/daemonset/config/config.yaml @@ -0,0 +1,32 @@ +port: 7654 +nodes: + - name: dell-61 + ip: 192.168.5.61 + allocatedDiskCap: 50 + - name: dell-62 + ip: 192.168.5.62 + allocatedDiskCap: 50 + - name: dell-63 + ip: 192.168.5.63 + allocatedDiskCap: 50 + - name: dell-64 + ip: 192.168.5.64 + allocatedDiskCap: 50 + - name: dell-65 + ip: 192.168.5.65 + allocatedDiskCap: 30 + - name: dell-66 + ip: 192.168.5.66 + allocatedDiskCap: 30 + - name: dell-67 + ip: 192.168.5.67 + allocatedDiskCap: 30 + - name: dell-68 + ip: 192.168.5.68 + allocatedDiskCap: 0 + - name: dell-69 + ip: 192.168.5.69 + allocatedDiskCap: 50 + - name: dell-70 + ip: 192.168.5.70 + allocatedDiskCap: 50 \ No newline at end of file diff --git a/daemonset/daemonset b/daemonset/daemonset new file mode 100755 index 0000000000000000000000000000000000000000..bd8042c25ecc4f5b82ee8d22e745fb101917f3e4 Binary files /dev/null and b/daemonset/daemonset differ diff --git a/daemonset/go.mod b/daemonset/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..7035b656bebc2e6beae29ed65d7c08bc45ba44b6 --- /dev/null +++ b/daemonset/go.mod @@ -0,0 +1,75 @@ +module kube-gpu/scheduler/daemonset/v2 + +go 1.20 + +require ( + github.com/gin-gonic/gin v1.9.1 + gopkg.in/yaml.v2 v2.4.0 + k8s.io/api v0.28.3 + k8s.io/apimachinery v0.28.3 + k8s.io/client-go v0.28.3 + sigs.k8s.io/controller-runtime v0.16.3 +) + +require ( + github.com/beorn7/perks v1.0.1 // indirect + github.com/bytedance/sonic v1.9.1 // indirect + github.com/cespare/xxhash/v2 v2.2.0 // indirect + github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect + github.com/davecgh/go-spew v1.1.1 // indirect + github.com/emicklei/go-restful/v3 v3.11.0 // indirect + github.com/gabriel-vasile/mimetype v1.4.2 // indirect + github.com/gin-contrib/sse v0.1.0 // indirect + github.com/go-logr/logr v1.2.4 // indirect + github.com/go-openapi/jsonpointer v0.19.6 // indirect + github.com/go-openapi/jsonreference v0.20.2 // indirect + github.com/go-openapi/swag v0.22.3 // indirect + github.com/go-playground/locales v0.14.1 // indirect + github.com/go-playground/universal-translator v0.18.1 // indirect + github.com/go-playground/validator/v10 v10.14.0 // indirect + github.com/goccy/go-json v0.10.2 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/golang/protobuf v1.5.3 // indirect + github.com/google/gnostic-models v0.6.8 // indirect + github.com/google/go-cmp v0.5.9 // indirect + github.com/google/gofuzz v1.2.0 // indirect + github.com/google/uuid v1.3.0 // indirect + github.com/imdario/mergo v0.3.6 // indirect + github.com/josharian/intern v1.0.0 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/klauspost/cpuid/v2 v2.2.4 // indirect + github.com/leodido/go-urn v1.2.4 // indirect + github.com/mailru/easyjson v0.7.7 // indirect + github.com/mattn/go-isatty v0.0.19 // indirect + github.com/matttproud/golang_protobuf_extensions v1.0.4 // indirect + github.com/matttproud/golang_protobuf_extensions/v2 v2.0.0 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 // indirect + github.com/pelletier/go-toml/v2 v2.0.8 // indirect + github.com/prometheus/client_golang v1.17.0 // indirect + github.com/prometheus/client_model v0.5.0 // indirect + github.com/prometheus/common v0.45.0 // indirect + github.com/prometheus/procfs v0.12.0 // indirect + github.com/spf13/pflag v1.0.5 // indirect + github.com/twitchyliquid64/golang-asm v0.15.1 // indirect + github.com/ugorji/go/codec v1.2.11 // indirect + golang.org/x/arch v0.3.0 // indirect + golang.org/x/crypto v0.14.0 // indirect + golang.org/x/net v0.17.0 // indirect + golang.org/x/oauth2 v0.12.0 // indirect + golang.org/x/sys v0.15.0 // indirect + golang.org/x/term v0.13.0 // indirect + golang.org/x/text v0.13.0 // indirect + golang.org/x/time v0.3.0 // indirect + google.golang.org/appengine v1.6.7 // indirect + google.golang.org/protobuf v1.31.0 // indirect + gopkg.in/inf.v0 v0.9.1 // indirect + gopkg.in/yaml.v3 v3.0.1 // indirect + k8s.io/klog/v2 v2.100.1 // indirect + k8s.io/kube-openapi v0.0.0-20230717233707-2695361300d9 // indirect + k8s.io/utils v0.0.0-20230406110748-d93618cff8a2 // indirect + sigs.k8s.io/json v0.0.0-20221116044647-bc3834ca7abd // indirect + sigs.k8s.io/structured-merge-diff/v4 v4.2.3 // indirect + sigs.k8s.io/yaml v1.3.0 // indirect +) diff --git a/daemonset/go.sum b/daemonset/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..0d7ac2ea14a3ab512c341546e4d138f87eba0c02 --- /dev/null +++ b/daemonset/go.sum @@ -0,0 +1,219 @@ +github.com/beorn7/perks v1.0.1 h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM= +github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6rlkpw= +github.com/bytedance/sonic v1.5.0/go.mod h1:ED5hyg4y6t3/9Ku1R6dU/4KyJ48DZ4jPhfY1O2AihPM= +github.com/bytedance/sonic v1.9.1 h1:6iJ6NqdoxCDr6mbY8h18oSO+cShGSMRGCEo7F2h0x8s= +github.com/bytedance/sonic v1.9.1/go.mod h1:i736AoUSYt75HyZLoJW9ERYxcy6eaN6h4BZXU064P/U= +github.com/cespare/xxhash/v2 v2.2.0 h1:DC2CZ1Ep5Y4k3ZQ899DldepgrayRUGE6BBZ/cd9Cj44= +github.com/cespare/xxhash/v2 v2.2.0/go.mod h1:VGX0DQ3Q6kWi7AoAeZDth3/j3BFtOZR5XLFGgcrjCOs= +github.com/chenzhuoyu/base64x v0.0.0-20211019084208-fb5309c8db06/go.mod h1:DH46F32mSOjUmXrMHnKwZdA8wcEefY7UVqBKYGjpdQY= +github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 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/bin/init_container . +ENTRYPOINT ["/init_container"] + diff --git a/daemonset/init_container/main.go b/daemonset/init_container/main.go new file mode 100644 index 0000000000000000000000000000000000000000..ece4333609ff2dc5d4918839c062e647fccb9a86 --- /dev/null +++ b/daemonset/init_container/main.go @@ -0,0 +1,45 @@ +package main + +import ( + "encoding/json" + "fmt" + "io/ioutil" + "net/http" + "os" + "time" +) + +type Response struct { + Code int `json:"code"` + Message string `json:"message"` +} + +func main() { + host := os.Getenv("NODE_HOST") + pod_name := os.Getenv("POD_NAME") + pod_namespace := os.Getenv("POD_NAMESPACE") + for { + time.Sleep(time.Second) + resp, err := http.Get(fmt.Sprintf("http://%s:7654/check_ready?pod=%s&namespace=%s", host, pod_name, pod_namespace)) + if err != nil { + fmt.Printf("request err:%v\n", err) + continue + } + data, err := ioutil.ReadAll(resp.Body) + if err != nil { + fmt.Printf("read data failed, err:%v\n", err) + continue + } + response := &Response{} + if err := json.Unmarshal(data, response); err != nil { + fmt.Printf("response unmarshal failed, err:%v\n", err) + continue + } + if response.Code != 0 { + fmt.Printf("not ready, msg:%s\n", response.Message) + continue + } + fmt.Printf("ready\n") + break + } +} diff --git a/daemonset/main.go b/daemonset/main.go new file mode 100644 index 0000000000000000000000000000000000000000..85ea87492fb03999a57d54b46bc089c09de5af6f --- /dev/null +++ b/daemonset/main.go @@ -0,0 +1,73 @@ +package main + +import ( + "fmt" + "kube-gpu/scheduler/daemonset/v2/pkg/config" + "kube-gpu/scheduler/daemonset/v2/pkg/dataset" + "kube-gpu/scheduler/daemonset/v2/pkg/utils" + "net/http" + "os" + + "github.com/gin-gonic/gin" +) + +type BaseResp struct { + Code int `json:"code"` + Message string `json:"message"` +} + +func bind(c *gin.Context) { + podName := c.Query("pod") + podNamespace := c.Query("namespace") + if err := dataset.Manager.Allocate(c, podName, podNamespace); err != nil { + errMsg := fmt.Sprintf("bind failed, pod:%s, podns:%s, err:%v", podName, podNamespace, err) + utils.LogErr(errMsg) + c.JSON(http.StatusInternalServerError, &BaseResp{Code: -1, Message: errMsg}) + return + } + c.JSON(http.StatusOK, &BaseResp{Code: 0, Message: "success"}) +} + +func release(c *gin.Context) { + datasetName := c.Query("dataset") + datasetNamespace := c.Query("namespace") + if err := dataset.Manager.Release(c, datasetName, datasetNamespace); err != nil { + errMsg := fmt.Sprintf("release failed, dataset:%s, ns:%s, err:%v", datasetName, datasetNamespace, err) + utils.LogErr(errMsg) + c.JSON(http.StatusInternalServerError, &BaseResp{Code: -1, Message: errMsg}) + return + } + c.JSON(http.StatusOK, &BaseResp{Code: 0, Message: "success"}) +} + +func checkReady(c *gin.Context) { + podName := c.Query("pod") + podNamespace := c.Query("namespace") + if ready, err := dataset.Manager.CheckReady(c, podName, podNamespace); err != nil { + errMsg := fmt.Sprintf("check ready failed, pod:%s, podns:%s, err:%v", podName, podNamespace, err) + utils.LogErr(errMsg) + c.JSON(http.StatusInternalServerError, &BaseResp{Code: -1, Message: errMsg}) + return + } else if !ready { + c.JSON(http.StatusOK, &BaseResp{Code: 1, Message: "not ready"}) + return + } + c.JSON(http.StatusOK, &BaseResp{Code: 0, Message: "ready"}) +} + +func main() { + config.InitConfig("") + utils.LogInfo("nodename:%s", os.Getenv("HOSTNAME")) + dataset.Init(os.Getenv("HOSTNAME")) + + server := gin.Default() + + server.GET("/bind", bind) + server.GET("/release", release) + server.GET("/check_ready", checkReady) + server.GET("/metrics", dataset.Manager.MetricsHandler()) + + if err := server.Run(fmt.Sprintf(":%d", config.GetPort())); err != nil { + utils.LogErr("debug server exit:%v", err) + } +} diff --git a/daemonset/pkg/client/client.go b/daemonset/pkg/client/client.go new file mode 100644 index 0000000000000000000000000000000000000000..f27c07d10659034efeeebcd87dc3d8adb44956ed --- /dev/null +++ b/daemonset/pkg/client/client.go @@ -0,0 +1,84 @@ +package client + +import ( + "context" + "flag" + v1 "kube-gpu/scheduler/daemonset/v2/api/v1" + "os" + "path/filepath" + + "k8s.io/apimachinery/pkg/runtime/serializer" + "k8s.io/client-go/kubernetes" + "k8s.io/client-go/kubernetes/scheme" + "k8s.io/client-go/rest" + "k8s.io/client-go/tools/clientcmd" +) + +const ( + DataSetName = "datasets" + DataSetsName = "DataSets" +) + +var ( + Clientset *kubernetes.Clientset + CRDClient *rest.RESTClient +) + +func init() { + var err error + var config *rest.Config + var kubeconfig *string + + if home := os.Getenv("HOME"); home != "" { + kubeconfig = flag.String("kubeconfig", filepath.Join(home, ".kube", "config"), "(optional) absolute path to the kubeconfig file") + } else { + kubeconfig = flag.String("kubeconfig", "", "absolute path to the kubeconfig file") + } + flag.Parse() + + // 使用 ServiceAccount 创建集群配置（InCluster模式） + if config, err = rest.InClusterConfig(); err != nil { + // 使用 KubeConfig 文件创建集群配置 + if config, err = clientcmd.BuildConfigFromFlags("", *kubeconfig); err != nil { + panic(err.Error()) + } + } + + // 创建 clientset + Clientset, err = kubernetes.NewForConfig(config) + if err != nil { + panic(err.Error()) + } + + if err := v1.AddToScheme(scheme.Scheme); err != nil { + panic(err) + } + + crdConfig := *config + crdConfig.ContentConfig.GroupVersion = &v1.GroupVersion + crdConfig.NegotiatedSerializer = serializer.NewCodecFactory(scheme.Scheme) + crdConfig.APIPath = "/apis" + + crdConfig.UserAgent = rest.DefaultKubernetesUserAgent() + + CRDClient, err = rest.UnversionedRESTClientFor(&crdConfig) + if err != nil { + panic(err) + } +} + +func GetDataSet(ctx context.Context, name, namespace string) (*v1.DataSet, error) { + ret := &v1.DataSet{} + if err := CRDClient.Get().Namespace(namespace).Resource(DataSetName).Name(name).Do(ctx).Into(ret); err != nil { + return nil, err + } + return ret, nil +} + +func ListDataSet(ctx context.Context, namespace string) (*v1.DataSetList, error) { + ret := &v1.DataSetList{} + if err := CRDClient.Get().Namespace(namespace).Resource(DataSetsName).Do(ctx).Into(ret); err != nil { + return nil, err + } + return ret, nil +} diff --git a/daemonset/pkg/config/config.go b/daemonset/pkg/config/config.go new file mode 100644 index 0000000000000000000000000000000000000000..571e65350c736ced4cdd9500fc1cba6a43767d5a --- /dev/null +++ b/daemonset/pkg/config/config.go @@ -0,0 +1,66 @@ +package config + +import ( + "io/ioutil" + "kube-gpu/scheduler/daemonset/v2/pkg/utils" + + "gopkg.in/yaml.v2" +) + +var ( + defaultConfig *Config +) + +type Config struct { + rawConfig + nodesMap map[string]*Node // node_name --> node + nodesIPMap map[string]*Node // node_ip --> node +} + +type Node struct { + Name string `json:"name" yaml:"name"` + IP string `json:"ip" yaml:"ip"` + AllocatedDiskCap int `json:"allocatedDiskCap" yaml:"allocatedDiskCap"` // GB +} + +type rawConfig struct { + Nodes []Node `json:"nodes" yaml:"nodes"` + Port int `json:"port" yaml:"port"` +} + +func InitConfig(path string) { + if len(path) == 0 { + path = "/etc/daemonset/config.yaml" + } + + data, err := ioutil.ReadFile(path) + if err != nil { + panic(err) + } + + rawConfig := rawConfig{} + if err = yaml.Unmarshal(data, &rawConfig); err != nil { + panic(err) + } + + utils.LogInfo("config:%+v", rawConfig) + + defaultConfig = &Config{ + rawConfig: rawConfig, + nodesMap: make(map[string]*Node, len(rawConfig.Nodes)), + nodesIPMap: make(map[string]*Node, len(rawConfig.Nodes)), + } + + for i, node := range rawConfig.Nodes { + defaultConfig.nodesMap[node.Name] = &rawConfig.Nodes[i] + defaultConfig.nodesIPMap[node.IP] = &rawConfig.Nodes[i] + } +} + +func GetNodeByName(name string) *Node { + return defaultConfig.nodesMap[name] +} + +func GetPort() int { + return defaultConfig.Port +} diff --git a/daemonset/pkg/dataset/manager.go b/daemonset/pkg/dataset/manager.go new file mode 100644 index 0000000000000000000000000000000000000000..8e1f6c2321d9b6fa69966e74fa31094d45ca2f88 --- /dev/null +++ b/daemonset/pkg/dataset/manager.go @@ -0,0 +1,331 @@ +package dataset + +import ( + "context" + "encoding/json" + "fmt" + kubesparsev1 "kube-gpu/scheduler/daemonset/v2/api/v1" + "kube-gpu/scheduler/daemonset/v2/pkg/client" + "kube-gpu/scheduler/daemonset/v2/pkg/config" + "kube-gpu/scheduler/daemonset/v2/pkg/models" + "kube-gpu/scheduler/daemonset/v2/pkg/utils" + "os" + "os/exec" + "strings" + "sync" + "time" + + "github.com/gin-gonic/gin" + "github.com/prometheus/client_golang/prometheus" + "github.com/prometheus/client_golang/prometheus/promhttp" + corev1 "k8s.io/api/core/v1" + v1 "k8s.io/apimachinery/pkg/apis/meta/v1" +) + +const ( + cephDirFormat = "/.ceph%s" + podDataRootDirFormat = "/.pod/%s" + podDirFormat = "/.pod/%s/%s" + dataSetDirFormat = "/.dataset/%s" +) + +var ( + Manager *DataSetBindManager + + NodeCacheUsedPods *prometheus.GaugeVec + NodeCacheAlloc *prometheus.GaugeVec + NodeCacheRemain *prometheus.GaugeVec +) + +type DataSetBindManager struct { + mu sync.RWMutex + remain int + allocated map[string]map[string]struct{} // dataset.name+dataset.namespace --> podlist name+namespace + copying map[string]struct{} // dataset.name+dataset.namespace + copyReady map[string]struct{} // dataset.name+dataset.namespace + node *config.Node +} + +type dataBind struct { + dataSet *kubesparsev1.DataSet + pvc *corev1.PersistentVolumeClaim + pv *corev1.PersistentVolume + dirName string + subDirName string +} + +func Init(host string) { + utils.LogInfo("node:%+v", *config.GetNodeByName(host)) + Manager = &DataSetBindManager{ + remain: config.GetNodeByName(host).AllocatedDiskCap, + allocated: make(map[string]map[string]struct{}), + copying: make(map[string]struct{}), + copyReady: make(map[string]struct{}), + node: config.GetNodeByName(host), + } + NodeCacheUsedPods = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "NODE_CACHE_USED_PODS", + Help: "node cache used pods list", + }, []string{"node", "ip", "namespace", "pod", "dataset", "dataset_namespace", "alloced"}) + NodeCacheAlloc = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "NODE_CACHE_ALLOC", + Help: "node cache alloc for dataset", + }, []string{"node", "ip", "dataset", "dataset_namespace"}) + NodeCacheRemain = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "NODE_CACHE_REMAIN", + Help: "node cache remain", + }, []string{"node", "ip"}) + prometheus.MustRegister( + NodeCacheUsedPods, + NodeCacheAlloc, + NodeCacheRemain, + ) + + NodeCacheRemain.With(prometheus.Labels{"node": Manager.node.Name, "ip": Manager.node.IP}).Set(float64(Manager.node.AllocatedDiskCap)) + utils.LogInfo("remain:%d", Manager.remain) +} + +func (m *DataSetBindManager) MetricsHandler() gin.HandlerFunc { + return func(ctx *gin.Context) { + promhttp.Handler().ServeHTTP(ctx.Writer, ctx.Request) + } +} + +func (m *DataSetBindManager) Allocate(ctx context.Context, podName, podNamespace string) error { + utils.LogInfo("now remain:%d", m.remain) + pod, err := client.Clientset.CoreV1().Pods(podNamespace).Get(ctx, podName, v1.GetOptions{}) + if err != nil { + return err + } + taskInfoRaw, ok := pod.Annotations[models.KUBE_GPU_SPARSE_TASK_INFO_LABEL_KEY] + if !ok { + return fmt.Errorf("taskinfo not exists inf pod %s, ns %s", podName, podNamespace) + } + taskInfo := &models.TaskInfo{} + if err := json.Unmarshal([]byte(taskInfoRaw), taskInfo); err != nil { + return err + } + analyzeResultRaw, ok := pod.Annotations[models.KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY] + analyzeResult := &models.TaskResourceAnalyzeResult{} + if err := json.Unmarshal([]byte(analyzeResultRaw), analyzeResult); err != nil { + return err + } + datasets, err := m.getDatasets(ctx, podNamespace, taskInfo.DataSets) + if err != nil { + return err + } + dataBinds := make([]*dataBind, 0, len(datasets)) + for _, dataSet := range datasets { + if dataSet.Status.Phase != kubesparsev1.DataSetPhaseReady { + return fmt.Errorf("dataset %s not ready", dataSet.Name) + } + pvc := &corev1.PersistentVolumeClaim{} + if pvc, err = client.Clientset.CoreV1().PersistentVolumeClaims(podNamespace).Get(ctx, dataSet.Spec.PVC, v1.GetOptions{}); err != nil { + return err + } + pv := &corev1.PersistentVolume{} + if pv, err = client.Clientset.CoreV1().PersistentVolumes().Get(ctx, pvc.Spec.VolumeName, v1.GetOptions{}); err != nil { + return err + } + dir := strings.Split(pv.Spec.CSI.VolumeAttributes["subvolumePath"], "/") + dataBinds = append(dataBinds, &dataBind{ + dataSet: dataSet, + pvc: pvc, + pv: pv, + dirName: pv.Spec.CSI.VolumeAttributes["subvolumePath"], + subDirName: dir[len(dir)-1], + }) + } + if err = m.createDir(fmt.Sprintf(podDataRootDirFormat, podName)); err != nil { + return err + } + m.mu.Lock() + defer m.mu.Unlock() + + // link and copy + for _, bind := range dataBinds { + canAllocated := false + if allocated, ok := m.allocated[fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)]; !ok { + // try allocate + if m.canAllocated(bind) { + canAllocated = true + m.remain -= bind.dataSet.Spec.Size + m.allocated[fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)] = map[string]struct{}{fmt.Sprintf("%s+%s", podName, podNamespace): {}} + NodeCacheRemain.With(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP}).Set(float64(m.remain)) + NodeCacheAlloc.With(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP, "dataset": bind.dataSet.Name, "dataset_namespace": bind.dataSet.Namespace}).Set(float64(bind.dataSet.Spec.Size)) + NodeCacheUsedPods.With(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP, "namespace": podNamespace, "pod": podName, "dataset": bind.dataSet.Name, "dataset_namespace": bind.dataSet.Namespace, "alloced": "yes"}).Set(float64(analyzeResult.End2End.V100.Speed * float32(taskInfo.InputSize) / float32(bind.dataSet.Spec.Size))) + } else { + NodeCacheUsedPods.With(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP, "namespace": podNamespace, "pod": podName, "dataset": bind.dataSet.Name, "dataset_namespace": bind.dataSet.Namespace, "alloced": "no"}).Set(float64(analyzeResult.End2End.V100.Speed * float32(taskInfo.InputSize) / float32(bind.dataSet.Spec.Size))) + } + } else { + canAllocated = true + if _, ok = allocated[fmt.Sprintf("%s+%s", podName, podNamespace)]; !ok { + allocated[fmt.Sprintf("%s+%s", podName, podNamespace)] = struct{}{} + NodeCacheUsedPods.With(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP, "namespace": podNamespace, "pod": podName, "dataset": bind.dataSet.Name, "dataset_namespace": bind.dataSet.Namespace, "alloced": "yes"}).Set(float64(analyzeResult.End2End.V100.Speed * float32(taskInfo.InputSize) / float32(bind.dataSet.Spec.Size))) + } + } + utils.LogInfo("allocated %v, pod:%s, ns:%s, dataset:%s", canAllocated, podName, podNamespace, bind.dataSet.Name) + + if canAllocated { + if err := m.link(fmt.Sprintf(dataSetDirFormat, bind.dataSet.Name), fmt.Sprintf(podDirFormat, podName, bind.dataSet.Name)); err != nil { + return err + } + + if _, ready := m.copyReady[fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)]; ready { + utils.LogInfo("dataset %s ns %s already copy ready", bind.dataSet.Name, bind.dataSet.Namespace) + continue + } + + if _, ok := m.copying[fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)]; !ok { + m.copying[fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)] = struct{}{} + go m.copy(bind) + } + } else { + if err := m.link(fmt.Sprintf(cephDirFormat, bind.dirName), fmt.Sprintf(podDirFormat, podName, bind.dataSet.Name)); err != nil { + return err + } + } + } + return nil +} + +func (m *DataSetBindManager) Release(ctx context.Context, datasetName, ns string) error { + if len(datasetName) == 0 { + return fmt.Errorf("empty datasetName") + } + if len(ns) == 0 { + return fmt.Errorf("empty ns") + } + dataset, err := client.GetDataSet(ctx, datasetName, ns) + if err != nil { + return err + } + m.mu.Lock() + defer m.mu.Unlock() + for podNS := range m.allocated[fmt.Sprintf("%s+%s", datasetName, ns)] { + ls := strings.Split(podNS, "+") + if len(ls) != 2 { + continue + } + podName := ls[0] + podNamespace := ls[1] + NodeCacheUsedPods.Delete(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP, "namespace": podNamespace, "pod": podName, "dataset": datasetName, "dataset_namespace": ns, "alloced": "yes"}) + } + NodeCacheAlloc.Delete(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP, "dataset": datasetName, "dataset_namespace": ns}) + delete(m.allocated, fmt.Sprintf("%s+%s", datasetName, ns)) + delete(m.copying, fmt.Sprintf("%s+%s", datasetName, ns)) + delete(m.copyReady, fmt.Sprintf("%s+%s", datasetName, ns)) + m.remain += dataset.Spec.Size + NodeCacheRemain.With(prometheus.Labels{"node": m.node.Name, "ip": m.node.IP}).Set(float64(m.remain)) + if datasetName == "yolo-dataset" { + return nil + } + return m.rmDir(fmt.Sprintf(dataSetDirFormat, datasetName)) +} + +func (m *DataSetBindManager) CheckReady(ctx context.Context, podName, ns string) (bool, error) { + pod, err := client.Clientset.CoreV1().Pods(ns).Get(ctx, podName, v1.GetOptions{}) + if err != nil { + return false, err + } + taskInfoRaw, ok := pod.Annotations[models.KUBE_GPU_SPARSE_TASK_INFO_LABEL_KEY] + if !ok { + return false, fmt.Errorf("taskinfo not exists inf pod %s, ns %s", podName, ns) + } + taskInfo := &models.TaskInfo{} + if err := json.Unmarshal([]byte(taskInfoRaw), taskInfo); err != nil { + return false, err + } + m.mu.RLock() + defer m.mu.RUnlock() + ready := true + for _, dataset := range taskInfo.DataSets { + if _, allocated := m.allocated[fmt.Sprintf("%s+%s", dataset.Name, ns)]; !allocated { + continue + } + if _, ok := m.copyReady[fmt.Sprintf("%s+%s", dataset.Name, ns)]; !ok { + ready = false + break + } + } + return ready, nil +} + +func (m *DataSetBindManager) canAllocated(bind *dataBind) bool { + utils.LogInfo("remain:%d, size:%d, result:%d", m.remain, bind.dataSet.Spec.Size, m.remain-bind.dataSet.Spec.Size) + return m.remain-bind.dataSet.Spec.Size > 0 +} + +func (m *DataSetBindManager) copy(bind *dataBind) { + ready := false + if _, err := os.Stat(fmt.Sprintf(dataSetDirFormat, bind.dataSet.Name)); err == nil { + utils.LogInfo("dataset already exist! name:%s, ns:%s", bind.dataSet.Name, bind.dataSet.Namespace) + ready = true + } + for i := 0; i < 5; i++ { + if ready { + break + } + time.Sleep(time.Second * time.Duration(i*2)) + cmd := exec.Command("cp", "-r", fmt.Sprintf(cephDirFormat, bind.dirName), fmt.Sprintf(dataSetDirFormat, bind.dataSet.Name)) + out, err := cmd.CombinedOutput() + if err != nil { + utils.LogErr("copy failed, src:%s, dst:%s, out:%s, err:%v", fmt.Sprintf(cephDirFormat, bind.dirName), fmt.Sprintf(dataSetDirFormat, bind.dataSet.Name), string(out), err) + continue + } + ready = true + } + m.mu.Lock() + defer m.mu.Unlock() + delete(m.copying, fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)) + if ready { + m.copyReady[fmt.Sprintf("%s+%s", bind.dataSet.Name, bind.dataSet.Namespace)] = struct{}{} + } + utils.LogInfo("copy success, src:%s, dst:%s", fmt.Sprintf(cephDirFormat, bind.dirName), fmt.Sprintf(dataSetDirFormat, bind.dataSet.Name)) +} + +func (m *DataSetBindManager) createDir(dir string) error { + if err := os.MkdirAll(dir, 0x777); err != nil { + return err + } + return nil +} + +func (m *DataSetBindManager) link(src, dst string) error { + if _, err := os.Stat(dst); err == nil { + // already exist + utils.LogWarn("link warn, file exist!") + return nil + } + if err := os.Symlink(src, dst); err != nil { + return err + } + utils.LogInfo("link success") + return nil +} + +func (m *DataSetBindManager) rmLink(path string) error { + if err := os.Remove(path); err != nil { + return err + } + return nil +} + +func (m *DataSetBindManager) rmDir(dir string) error { + if err := os.RemoveAll(dir); err != nil { + return err + } + return nil +} + +func (m *DataSetBindManager) getDatasets(ctx context.Context, namespace string, datasets []models.DataSetInfo) ([]*kubesparsev1.DataSet, error) { + ret := make([]*kubesparsev1.DataSet, 0, len(datasets)) + for _, dataset := range datasets { + dataset, err := client.GetDataSet(ctx, dataset.Name, namespace) + if err != nil { + return nil, err + } + ret = append(ret, dataset) + } + return ret, nil +} diff --git a/daemonset/pkg/models/models.go b/daemonset/pkg/models/models.go new file mode 100644 index 0000000000000000000000000000000000000000..3fd062e853a9d06706fa54e3535a151f016a00b0 --- /dev/null +++ b/daemonset/pkg/models/models.go @@ -0,0 +1,65 @@ +package models + +const ( + KUBE_GPU_SPARSE_TASK_INFO_LABEL_KEY = "kube-gpu-sparse/task_info" // json + KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY = "kube-gpu-sparse/resource_analyze" +) + +// webhook task info +type TaskInfo struct { + TaskID uint64 `json:"task_id"` + JobUUID string `json:"job_uuid"` + IsEnd2End bool `json:"is_end2end"` + Macs float32 `json:"macs"` + Params float32 `json:"params"` + BatchSize int `json:"batch_size"` + EmbeddingSizeTotal int `json:"embedding_size_total"` + EmbeddingDimTotal int `json:"embedding_dim_total"` + EmbeddingTableCount int `json:"embedding_table_count"` + RelatedPods []TaskRelationship `json:"related_pods"` + DataSets []DataSetInfo `json:"datasets"` + InputSize int `json:"input_size"` +} + +type TaskRelationship struct { + Namespace string `json:"namespace"` + PodsList []string `josn:"pods_list"` + Type string `json:"type"` +} + +type DataSetInfo struct { + Name string `json:"name"` + Size int `json:"size"` +} + +// end2end resource analyze +type GPUResourceUsage struct { + GpuUtilAvg float32 `json:"gpu_util_avg"` + GpuUtilStd float32 `json:"gpu_util_std"` + MemUsage float32 `json:"mem_usage"` // GB + Speed float32 `json:"speed"` +} + +type GPUResourceUsageDetail struct { + GPUResourceUsage + SmActiveAvg float32 `json:"sm_active_avg"` + SmActiveStd float32 `json:"sm_active_std"` + SmOccupiedAvg float32 `json:"sm_occupied_avg"` + SmOccupiedStd float32 `json:"sm_occupied_std"` + DramActiveAvg float32 `json:"dram_active_avg"` + DramActiveStd float32 `json:"dram_active_std"` + Fp32ActiveAvg float32 `json:"fp32_active_avg"` + Fp32ActiveStd float32 `json:"fp32_active_std"` +} + +type End2EndResourceAnalyzeResult struct { + P100 GPUResourceUsage `json:"P100"` + Ti2080 GPUResourceUsage `json:"2080"` + TITAN GPUResourceUsage `json:"TITAN"` + V100 GPUResourceUsageDetail `json:"V100"` +} + +// k8s output label +type TaskResourceAnalyzeResult struct { + End2End *End2EndResourceAnalyzeResult `json:"end2end"` +} diff --git a/daemonset/pkg/utils/utils.go b/daemonset/pkg/utils/utils.go new file mode 100644 index 0000000000000000000000000000000000000000..3bad21d22b24af544ea5253addf5192f5bad5a00 --- /dev/null +++ b/daemonset/pkg/utils/utils.go @@ -0,0 +1,18 @@ +package utils + +import ( + "fmt" + "time" +) + +func LogErr(format string, v ...interface{}) { + fmt.Printf("[Error] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func LogInfo(format string, v ...interface{}) { + fmt.Printf("[Info] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func LogWarn(format string, v ...interface{}) { + fmt.Printf("[Warn] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} diff --git a/daemonset/yaml/deploy.yaml b/daemonset/yaml/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d0b2e917995bd260de94ab97b448a99db6592f32 --- /dev/null +++ b/daemonset/yaml/deploy.yaml @@ -0,0 +1,201 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: kube-gpu-sparse-cache-daemonset + namespace: kube-gpu-sparse +--- +kind: ClusterRole +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: kube-gpu-sparse-cache-daemonset-clusterrole +rules: + - apiGroups: + - "*" + resources: + - "*" + verbs: + - "*" + - apiGroups: + - apps + - extensions + resources: + - "*" + verbs: + - "*" + - apiGroups: + - policy + resources: + - poddisruptionbudgets + verbs: + - get + - list + - watch + - apiGroups: + - "storage.k8s.io" + resources: + - "*" + verbs: + - "*" + - apiGroups: + - "coordination.k8s.io" + resources: + - leases + verbs: + - create + - get + - list + - update + - apiGroups: + - "events.k8s.io" + resources: + - "*" + verbs: + - "*" +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: kube-gpu-sparse-cache-daemonset-role-binding +subjects: +- kind: ServiceAccount + name: kube-gpu-sparse-cache-daemonset + namespace: kube-gpu-sparse +roleRef: + kind: ClusterRole + name: kube-gpu-sparse-cache-daemonset-clusterrole + apiGroup: rbac.authorization.k8s.io +--- +apiVersion: apps/v1 +kind: DaemonSet +metadata: + name: kube-gpu-sparse-cache-daemonset + namespace: kube-gpu-sparse + labels: + app: kube-gpu-sparse-cache-daemonset +spec: + selector: + matchLabels: + app: kube-gpu-sparse-cache-daemonset + template: + metadata: + labels: + app: kube-gpu-sparse-cache-daemonset + spec: + serviceAccountName: kube-gpu-sparse-cache-daemonset + restartPolicy: Always + hostNetwork: true + containers: + - name: daemonset + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/daemonset:v0.20.0 + imagePullPolicy: IfNotPresent + securityContext: + privileged : true + env: + - name: HOSTNAME + valueFrom: + fieldRef: + fieldPath: spec.nodeName + command: ["/daemonset"] + volumeMounts: + - name: "pod-dir" + mountPath: "/.pod" + - name: "dateset-dir" + mountPath: "/.dataset" + - name: "ceph-dir" + mountPath: "/.ceph" + - name: "config" + mountPath: /etc/daemonset + ports: + - containerPort: 7654 + hostPort: 7654 + name: http + protocol: TCP + volumes: + - name: "pod-dir" + hostPath: + path: "/.pod" + - name: "dateset-dir" + hostPath: + path: "/.dataset" + - name: "ceph-dir" + hostPath: + path: "/.ceph" + - name: config + configMap: + name: kube-gpu-sparse-cache-daemonset-conf +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: kube-gpu-sparse-cache-daemonset-conf + namespace: kube-gpu-sparse +data: + config.yaml: | + port: 7654 + nodes: + - name: dell-61 + ip: 192.168.5.61 + allocatedDiskCap: 50 + - name: dell-62 + ip: 192.168.5.62 + allocatedDiskCap: 50 + - name: dell-63 + ip: 192.168.5.63 + allocatedDiskCap: 50 + - name: dell-64 + ip: 192.168.5.64 + allocatedDiskCap: 50 + - name: dell-65 + ip: 192.168.5.65 + allocatedDiskCap: 40 + - name: dell-66 + ip: 192.168.5.66 + allocatedDiskCap: 40 + - name: dell-67 + ip: 192.168.5.67 + allocatedDiskCap: 40 + - name: dell-68 + ip: 192.168.5.68 + allocatedDiskCap: 0 + - name: dell-69 + ip: 192.168.5.69 + allocatedDiskCap: 50 + - name: dell-70 + ip: 192.168.5.70 + allocatedDiskCap: 50 +--- +apiVersion: v1 +kind: Service +metadata: + name: cache-daemonset-svc + namespace: kube-gpu-sparse + labels: + app: kube-gpu-sparse-cache-daemonset +spec: + selector: + app: kube-gpu-sparse-cache-daemonset + ports: + - name: monitor + protocol: TCP + port: 80 + targetPort: 7654 +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: + app: kube-gpu-sparse-cache-daemonset + name: kube-sparse-cache-daemonset-monitor + namespace: monitoring +spec: + endpoints: + - interval: 5s + path: /metrics + port: monitor + scheme: http + namespaceSelector: + matchNames: + - kube-gpu-sparse + selector: + matchLabels: + app: kube-gpu-sparse-cache-daemonset \ No newline at end of file diff --git a/http-prometheus/README.md b/http-prometheus/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3d8edcdef93631c5f5b7d719a1abd0bbe66edbde --- /dev/null +++ b/http-prometheus/README.md @@ -0,0 +1,11 @@ +# GPU使用情况监控 + +采用nvml-golang编写 + +## How to Use + +- `build.sh` +- 在新增节点上创建systemd任务`/lib/systemd/system/my-gpu-stat.service`，内容参考`my-gpu-stat.service` +- 在k8s中新增Endpoint + - 修改`../config/prometheus/gpu-stat/service.yaml`，添加新节点的Endpoint与Serivce，注意名字区分 +- 验证：在grafana页面看到相应的监控 \ No newline at end of file diff --git a/http-prometheus/build.sh b/http-prometheus/build.sh new file mode 100644 index 0000000000000000000000000000000000000000..be4f04b3aff3ad6c151cab86986ab8e642c91c29 --- /dev/null +++ b/http-prometheus/build.sh @@ -0,0 +1 @@ +go build main.go -o output/prome-gpu-stat \ No newline at end of file diff --git a/http-prometheus/go.mod b/http-prometheus/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..6df639e6a9b5dfc7daf6ed6ebf5ec147a226bd17 --- /dev/null +++ b/http-prometheus/go.mod @@ -0,0 +1,20 @@ +module gpu-stat/v2 + +go 1.18 + +require ( + github.com/NVIDIA/go-nvml v0.11.8-0 + github.com/prometheus/client_golang v1.14.0 +) + +require ( + github.com/beorn7/perks v1.0.1 // indirect + github.com/cespare/xxhash/v2 v2.1.2 // indirect + github.com/golang/protobuf v1.5.2 // indirect + github.com/matttproud/golang_protobuf_extensions v1.0.1 // indirect + github.com/prometheus/client_model v0.3.0 // indirect + github.com/prometheus/common v0.37.0 // indirect + github.com/prometheus/procfs v0.8.0 // indirect + golang.org/x/sys v0.0.0-20220520151302-bc2c85ada10a // indirect + google.golang.org/protobuf v1.28.1 // indirect +) diff --git a/http-prometheus/go.sum b/http-prometheus/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..95ab6ab6005f1b61ec395e57b97a8b2b145a0d74 --- /dev/null +++ b/http-prometheus/go.sum @@ -0,0 +1,482 @@ +cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= +cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwredwwASm/v6AU= +cloud.google.com/go v0.44.2/go.mod h1:60680Gw3Yr4ikxnPRS/oxxkBccT6SA1yMk63TGekxKY= +cloud.google.com/go v0.45.1/go.mod h1:RpBamKRgapWJb87xiFSdk4g1CME7QZg3uwTez+TSTjc= +cloud.google.com/go v0.46.3/go.mod h1:a6bKKbmY7er1mI7TEI4lsAkts/mkhTSZK8w33B4RAg0= +cloud.google.com/go v0.50.0/go.mod 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0000000000000000000000000000000000000000..82204341d3146f5e5832af6f3bd6a5de6485fe23 --- /dev/null +++ b/http-prometheus/main.go @@ -0,0 +1,116 @@ +package main + +import ( + "fmt" + "gpu-stat/v2/service" + "math/rand" + "net/http" + "time" + + "github.com/prometheus/client_golang/prometheus" + "github.com/prometheus/client_golang/prometheus/promhttp" +) + +var ( + GPUUtilGauge *prometheus.GaugeVec + DeviceMemUtilGauge *prometheus.GaugeVec + GPUProcSMUtil *prometheus.GaugeVec + GPUProcDecUtil *prometheus.GaugeVec + GPUProcFrameMemUtil *prometheus.GaugeVec + GPUProcMemUtil *prometheus.GaugeVec + GPUProcEncUtil *prometheus.GaugeVec + currnetPids map[string]map[int32]struct{} +) + +func main() { + GPUUtilGauge = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "gpu_util", + Help: "nvml-golang探测GPU利用率", + }, []string{"id"}) + DeviceMemUtilGauge = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "device_mem_util", + Help: "nvml-golang探测全局读写内存时间占比", + }, []string{"id"}) + GPUProcSMUtil = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "gpu_proc_sm_util", + Help: "nvml-golang探测进程GPU-SM利用率", + }, []string{"id", "pid"}) + GPUProcDecUtil = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "gpu_proc_dec_util", + Help: "nvml-golang探测进程GPU-Dec利用率", + }, []string{"id", "pid"}) + GPUProcFrameMemUtil = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "gpu_proc_frame_mem_util", + Help: "nvml-golang探测进程GPU-Frame-Mem利用率", + }, []string{"id", "pid"}) + GPUProcMemUtil = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "gpu_proc_mem_util", + Help: "nvml-golang探测进程GPU-Mem利用率", + }, []string{"id", "pid"}) + GPUProcEncUtil = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "gpu_proc_enc_util", + Help: "nvml-golang探测进程GPU-Enc利用率", + }, []string{"id", "pid"}) + currnetPids = make(map[string]map[int32]struct{}) + + prometheus.MustRegister(GPUUtilGauge) + prometheus.MustRegister(DeviceMemUtilGauge) + prometheus.MustRegister(GPUProcSMUtil) + prometheus.MustRegister(GPUProcMemUtil) + prometheus.MustRegister(GPUProcFrameMemUtil) + prometheus.MustRegister(GPUProcDecUtil) + prometheus.MustRegister(GPUProcEncUtil) + go Recorder() + http.Handle("/metrics", promhttp.Handler()) + http.ListenAndServe(":8080", nil) + +} + +func Recorder() { + ticker := time.NewTicker(time.Second) + rand.Seed(time.Now().UnixNano()) + for { + select { + case <-ticker.C: + err, resp := service.GetGpuStat() + if err != nil { + fmt.Printf("[Error] Get Gpu Stat error: %v\n", err) + continue + } + newPids := make(map[int32]struct{}) + for _, stat := range resp.Data { + // stat.Util = rand.Float64() * 100 + // stat.Mem = rand.Float64() * 100 + GPUUtilGauge.With(prometheus.Labels{"id": stat.Id}).Set(stat.Util) + DeviceMemUtilGauge.With(prometheus.Labels{"id": stat.Id}).Set(stat.Mem) + for _, proc := range stat.Procs { + // proc.Smutil = rand.Float64() * 100 + // proc.Memutil = rand.Float64() * 100 + // proc.Decutil = rand.Float64() * 100 + // proc.Encutil = rand.Float64() * 100 + newPids[proc.Pid] = struct{}{} + GPUProcSMUtil.With(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", proc.Pid)}).Set(proc.Smutil) + GPUProcMemUtil.With(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", proc.Pid)}).Set(proc.Memutil) + GPUProcFrameMemUtil.With(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", proc.Pid)}).Set(proc.FrameMemUtil) + GPUProcDecUtil.With(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", proc.Pid)}).Set(proc.Decutil) + GPUProcEncUtil.With(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", proc.Pid)}).Set(proc.Encutil) + } + if oldMap, ok := currnetPids[stat.Id]; !ok { + currnetPids[stat.Id] = newPids + } else { + for pid := range oldMap { + if _, ok := newPids[pid]; !ok { + GPUProcSMUtil.Delete(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", pid)}) + GPUProcMemUtil.Delete(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", pid)}) + GPUProcFrameMemUtil.Delete(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", pid)}) + GPUProcDecUtil.Delete(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", pid)}) + GPUProcEncUtil.Delete(prometheus.Labels{"id": stat.Id, "pid": fmt.Sprintf("%d", pid)}) + } + } + currnetPids[stat.Id] = newPids + } + } + + } + } +} diff --git a/http-prometheus/my-gpu-stat.service b/http-prometheus/my-gpu-stat.service new file mode 100644 index 0000000000000000000000000000000000000000..99ca5387ee8849ef3c134bf1456299ed6d22dfdf --- /dev/null +++ b/http-prometheus/my-gpu-stat.service @@ -0,0 +1,11 @@ +[Unit] +Description=PlaceOrder +After=network.target + +[Service] +Restart=always +Type=simple +ExecStart=/home/lpx/exe/prome-gpu-stat + +[Install] +WantedBy=multi-user.target \ No newline at end of file diff --git a/http-prometheus/output/prome-gpu-stat b/http-prometheus/output/prome-gpu-stat new file mode 100755 index 0000000000000000000000000000000000000000..d25879241717d52ea0dbb613e9abae196c2ae406 Binary files /dev/null and b/http-prometheus/output/prome-gpu-stat differ diff --git a/http-prometheus/service/service.go b/http-prometheus/service/service.go new file mode 100644 index 0000000000000000000000000000000000000000..456cbf7e38c1b215301b04d1dcdbe532be682aba --- /dev/null +++ b/http-prometheus/service/service.go @@ -0,0 +1,126 @@ +package service + +import ( + "fmt" + "log" + "time" + + "github.com/NVIDIA/go-nvml/pkg/nvml" +) + +type ProcessStat struct { + Pid int32 `json:"pid"` + Smutil float64 `json:"smutil"` // SM利用率 + Memutil float64 `json:"memutil"` // 显存利用率 + FrameMemUtil float64 `json:"framememutil"` // 帧缓冲区内存利用率 + Decutil float64 `json:"decutil"` + Encutil float64 `json:"encutil"` +} + +type Stat struct { + Id string `json:"id"` + Util float64 `json:"util"` // GPU利用率 + Mem float64 `json:"mem"` // 全局存储读写利用率 + Procs []*ProcessStat `json:"procs"` +} + +type GpuStatResp struct { + Data []*Stat `json:"data"` +} + +func init() { + ret := nvml.Init() + if ret != nvml.SUCCESS { + log.Fatalf("Unable to initialize NVML: %v", nvml.ErrorString(ret)) + } +} + +func BeforeExit() { + ret := nvml.Shutdown() + if ret != nvml.SUCCESS { + log.Fatalf("Unable to shutdown NVML: %v", nvml.ErrorString(ret)) + } +} + +func GetGpuStat() (error, *GpuStatResp) { + resp := new(GpuStatResp) + resp.Data = []*Stat{} + + count, ret := nvml.DeviceGetCount() + if ret != nvml.SUCCESS { + err := fmt.Errorf("Unable to get device count: %v", nvml.ErrorString(ret)) + log.Fatalf(err.Error()) + return err, nil + } + + for i := 0; i < count; i++ { + stat := &Stat{} + device, ret := nvml.DeviceGetHandleByIndex(i) + if ret != nvml.SUCCESS { + err := fmt.Errorf("Unable to get device at index %d: %v", i, nvml.ErrorString(ret)) + log.Fatalf(err.Error()) + return err, nil + } + + uuid, ret := device.GetUUID() + if ret != nvml.SUCCESS { + err := fmt.Errorf("Unable to get uuid of device at index %d: %v", i, nvml.ErrorString(ret)) + log.Fatalf(err.Error()) + return err, nil + } + stat.Id = uuid + + usage, ret := device.GetUtilizationRates() + if ret != nvml.SUCCESS { + err := fmt.Errorf("Unable to get device utilizationRates, devie: %s, err: %v", uuid, nvml.ErrorString(ret)) + log.Fatalf(err.Error()) + return err, nil + } + + // fmt.Printf("util used: %v\n", usage.Gpu) + stat.Util = float64(usage.Gpu) + + // fmt.Printf("mem used: %v\n", usage.Memory) + stat.Mem = float64(usage.Memory) + + samples, ret := device.GetProcessUtilization(uint64(time.Now().UnixMilli())) + if ret != nvml.SUCCESS { + err := fmt.Errorf("Unable to get device Process Utilization, device: %s, err :%v", uuid, nvml.ErrorString(ret)) + log.Fatalf(err.Error()) + return err, nil + } + stat.Procs = []*ProcessStat{} + retMap := make(map[int32]*ProcessStat) + for _, s := range samples { + // fmt.Printf("pid: %v, smuitl: %v, decutil: %v, memutil: %v, encutil:%v\n", s.Pid, s.SmUtil, s.DecUtil, s.MemUtil, s.EncUtil) + retMap[int32(s.Pid)] = &ProcessStat{ + Pid: int32(s.Pid), + Smutil: float64(s.SmUtil), + FrameMemUtil: float64(s.MemUtil), + Encutil: float64(s.EncUtil), + Decutil: float64(s.DecUtil), + } + } + + runningSamples, ret := device.GetComputeRunningProcesses() + if ret != nvml.SUCCESS { + err := fmt.Errorf("Unable to get running Process Utilization, device: %s, err :%v", uuid, nvml.ErrorString(ret)) + log.Fatalf(err.Error()) + return err, nil + } + for _, s := range runningSamples { + has, ok := retMap[int32(s.Pid)] + if ok { + has.Memutil = float64(s.UsedGpuMemory) + } + } + + for _, s := range retMap { + stat.Procs = append(stat.Procs, s) + } + + // fmt.Printf("%v\n", uuid) + resp.Data = append(resp.Data, stat) + } + return nil, resp +} diff --git a/scheduler/.vscode/launch.json b/scheduler/.vscode/launch.json new file mode 100644 index 0000000000000000000000000000000000000000..066b0e1cd8b1f0dab5184bc779aed2b80d547117 --- /dev/null +++ b/scheduler/.vscode/launch.json @@ -0,0 +1,20 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + + { + "name": "Launch Package", + "type": "go", + "request": "launch", + "mode": "auto", + "args": [ + "--config=./etc/scheduler-config.yaml", + "--v=4", + ], + "program": "main.go" + } + ] +} \ No newline at end of file diff --git a/scheduler/Dockerfile b/scheduler/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..b8b81228b4474368873597d05a49d7ad0c042192 --- /dev/null +++ b/scheduler/Dockerfile @@ -0,0 +1,6 @@ +FROM ubuntu:22.04 + +COPY ./scheduler /usr/local/bin/kube-scheduler +RUN chmod +x /usr/local/bin/kube-scheduler + +ENTRYPOINT ["sh", "-c", "sleep infinity"] \ No newline at end of file diff --git a/scheduler/README.md b/scheduler/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ce7d8b626ca5ca81b389d71ccc9db52a59dc1991 --- /dev/null +++ b/scheduler/README.md @@ -0,0 +1,92 @@ +# 目标 + +- 用户提交的pod，打上资源需求预测得到的标签 +- 根据标签来决定如何调度到对应节点 + +# 问题建模 + +核心想法： +- GPU可以共享，当GPU计算资源需求总和越小时，说明争用越小 +- 用Cost来描述争用，来描述一个任务真实占有GPU资源的程度。如果一个GPU被占有程度越高，说明性能更被充分利用，也说明可挖掘空间越小，受争用的程度越高 + +优化点一： +- GPU的不同计算资源利用对性能争用的敏感度不同，一个高利用率的任务可能fp32利用率很低，最终表现出来的Cost可能很小 + - GPU利用率 + - SM核活跃度 + - SM核占用率 + - FP32管道活跃度 +优化点二： +- 异构卡类型 + +01整数规划 + +![](./01%E6%95%B4%E6%95%B0%E8%A7%84%E5%88%92.png) + +贪心优化： +- 每次仅取一个job来计算cost，取哪个job取决于Fair算法 +- 计算最小cost的节点，将job调度到该节点 + +# 算法流程 + +- 任务筛选： + - 根据Fair算法，筛选出一个job +- 节点筛选： + - 根据打上的标签，计算cost最小的节点，将任务绑定到cost最小的节点上，并绑定到对应的卡上（需要config-map指定env来支持） + - cost函数： +``` +nodeCost := sum(w1 * GPUUtilCost + w2 * GPUMemCost)_card + +GPUMemCost_card := (Used + Request) / Cap + +GPUUtilCost_card := sum(ai1 * f(UsedUtilAvg + RequestUtilAvg) + ai2 * (UsedUtilStd - RequestUtilStd)^2)_i={util/smactive/smoccupied/fp32} +``` + +# 算法初始化 + +挑选一批job，分两次训练： +- 训练一：独占卡训练，收集GPUUtil、GPUMem等利用率的平均值+标准差，以及完成时间 +- 训练二：将任务随机地共享调度，每个卡放两个job，收集每个任务的完成时间 + +计算每个job在每个卡上的cost，最为训练数据的标签 +- `cost := 最终完成时间/独占完成时间`（保证cost大于0） + +构造训练数据： +- 每一条数据为每个job的一次共享： + - 自变量：usedavg、requestavg、usedstd、requeststd，其中used为与另一个共享job的指标，request为当前job的指标 + - 因变量：cost + +# 算法持续学习优化 + +- 以每个job为视角 + - 当job某次完成时，卡利用率低于80%，视为基准，收集预测的GPUUtil、GPUMem等利用率的平均值+标准差，以及完成时间 + - 其他情况，为共享调度，收集完成时间 +- 计算cost +- 构造训练数据 + +# 实现 + +- crd-controller: + - 创建pod是为pod打上env的config-map： + - config-map名称为`${POD_NAME}-nvidia-gpu-env` + - pod可通过`scheduler-config-map-manager-svc.kube-gpu-sparse`域名来访问config-map +- webhook: + - mutation: 打上特定的annotation + - addmission：检查有没有打上特定的annotation和env，以及env的配置是否是from config-map +- 任务筛选：QueueSort +- 节点筛选： + - Filter：根据指定的gpu数量来过滤掉一些节点: + - 当选用大于2个gpu时，只调度到65-68节点；当选用大于4个gpu时，一个节点都不给调度 + - 当GPU剩余显存空间不足于pod需求时，任务GPU不可用。若节点可用GPU个数少于需求数，过滤该节点 + - Score（核心逻辑）：计算cost值 + - NormalizeScore：计算最小cost的节点，置分数最高，其余节点分数置0 + - PreBind：将绑定的GPU卡号写入到config-map + +# 编译打包 + +- 编译代码 +- 使用Dockerfile打包镜像 +- 修改yaml最新的镜像版本 + +# 部署 + +- `kubectl apply -f yaml/` \ No newline at end of file diff --git a/scheduler/exporter-example b/scheduler/exporter-example new file mode 100644 index 0000000000000000000000000000000000000000..561c1f55ad870df17c21e634481aee0d190cdc37 --- /dev/null +++ b/scheduler/exporter-example @@ -0,0 +1,156 @@ +# HELP DCGM_FI_DEV_SM_CLOCK SM clock frequency (in MHz). +# TYPE DCGM_FI_DEV_SM_CLOCK gauge +DCGM_FI_DEV_SM_CLOCK{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 135 +DCGM_FI_DEV_SM_CLOCK{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 1402 +DCGM_FI_DEV_SM_CLOCK{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 135 +DCGM_FI_DEV_SM_CLOCK{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 135 +# HELP DCGM_FI_DEV_MEM_CLOCK Memory clock frequency (in MHz). +# TYPE DCGM_FI_DEV_MEM_CLOCK gauge +DCGM_FI_DEV_MEM_CLOCK{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 877 +DCGM_FI_DEV_MEM_CLOCK{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 877 +DCGM_FI_DEV_MEM_CLOCK{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 877 +DCGM_FI_DEV_MEM_CLOCK{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 877 +# HELP DCGM_FI_DEV_MEMORY_TEMP Memory temperature (in C). +# TYPE DCGM_FI_DEV_MEMORY_TEMP gauge +DCGM_FI_DEV_MEMORY_TEMP{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 32 +DCGM_FI_DEV_MEMORY_TEMP{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 39 +DCGM_FI_DEV_MEMORY_TEMP{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 27 +DCGM_FI_DEV_MEMORY_TEMP{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 28 +# HELP DCGM_FI_DEV_GPU_TEMP GPU temperature (in C). +# TYPE DCGM_FI_DEV_GPU_TEMP gauge +DCGM_FI_DEV_GPU_TEMP{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 33 +DCGM_FI_DEV_GPU_TEMP{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 38 +DCGM_FI_DEV_GPU_TEMP{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 29 +DCGM_FI_DEV_GPU_TEMP{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 31 +# HELP DCGM_FI_DEV_POWER_USAGE Power draw (in W). +# TYPE DCGM_FI_DEV_POWER_USAGE gauge +DCGM_FI_DEV_POWER_USAGE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 43.898000 +DCGM_FI_DEV_POWER_USAGE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 82.323000 +DCGM_FI_DEV_POWER_USAGE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 41.952000 +DCGM_FI_DEV_POWER_USAGE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 40.979000 +# HELP DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION Total energy consumption since boot (in mJ). +# TYPE DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION counter +DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 53130798121 +DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 56767713042 +DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 51260922742 +DCGM_FI_DEV_TOTAL_ENERGY_CONSUMPTION{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 50207187193 +# HELP DCGM_FI_DEV_PCIE_REPLAY_COUNTER Total number of PCIe retries. +# TYPE DCGM_FI_DEV_PCIE_REPLAY_COUNTER counter +DCGM_FI_DEV_PCIE_REPLAY_COUNTER{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_PCIE_REPLAY_COUNTER{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_PCIE_REPLAY_COUNTER{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_PCIE_REPLAY_COUNTER{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_GPU_UTIL GPU utilization (in %). +# TYPE DCGM_FI_DEV_GPU_UTIL gauge +DCGM_FI_DEV_GPU_UTIL{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_GPU_UTIL{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 15 +DCGM_FI_DEV_GPU_UTIL{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_GPU_UTIL{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_MEM_COPY_UTIL Memory utilization (in %). +# TYPE DCGM_FI_DEV_MEM_COPY_UTIL gauge +DCGM_FI_DEV_MEM_COPY_UTIL{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_MEM_COPY_UTIL{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 7 +DCGM_FI_DEV_MEM_COPY_UTIL{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_MEM_COPY_UTIL{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_ENC_UTIL Encoder utilization (in %). +# TYPE DCGM_FI_DEV_ENC_UTIL gauge +DCGM_FI_DEV_ENC_UTIL{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_ENC_UTIL{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_ENC_UTIL{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_ENC_UTIL{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_DEC_UTIL Decoder utilization (in %). +# TYPE DCGM_FI_DEV_DEC_UTIL gauge +DCGM_FI_DEV_DEC_UTIL{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_DEC_UTIL{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_DEC_UTIL{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_DEC_UTIL{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_XID_ERRORS Value of the last XID error encountered. +# TYPE DCGM_FI_DEV_XID_ERRORS gauge +DCGM_FI_DEV_XID_ERRORS{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_XID_ERRORS{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_XID_ERRORS{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_XID_ERRORS{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_FB_FREE Framebuffer memory free (in MiB). +# TYPE DCGM_FI_DEV_FB_FREE gauge +DCGM_FI_DEV_FB_FREE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 32501 +DCGM_FI_DEV_FB_FREE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 28635 +DCGM_FI_DEV_FB_FREE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 32501 +DCGM_FI_DEV_FB_FREE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 32501 +# HELP DCGM_FI_DEV_FB_USED Framebuffer memory used (in MiB). +# TYPE DCGM_FI_DEV_FB_USED gauge +DCGM_FI_DEV_FB_USED{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_FB_USED{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 3865 +DCGM_FI_DEV_FB_USED{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_FB_USED{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL Total number of NVLink bandwidth counters for all lanes. +# TYPE DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL counter +DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_NVLINK_BANDWIDTH_TOTAL{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_DEV_VGPU_LICENSE_STATUS vGPU License status +# TYPE DCGM_FI_DEV_VGPU_LICENSE_STATUS gauge +DCGM_FI_DEV_VGPU_LICENSE_STATUS{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_VGPU_LICENSE_STATUS{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_VGPU_LICENSE_STATUS{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +DCGM_FI_DEV_VGPU_LICENSE_STATUS{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0 +# HELP DCGM_FI_PROF_GR_ENGINE_ACTIVE Ratio of time the graphics engine is active (in %). +# TYPE DCGM_FI_PROF_GR_ENGINE_ACTIVE gauge +DCGM_FI_PROF_GR_ENGINE_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_GR_ENGINE_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.159335 +DCGM_FI_PROF_GR_ENGINE_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_GR_ENGINE_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_SM_ACTIVE The ratio of cycles an SM has at least 1 warp assigned (in %). +# TYPE DCGM_FI_PROF_SM_ACTIVE gauge +DCGM_FI_PROF_SM_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_SM_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.156253 +DCGM_FI_PROF_SM_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_SM_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_SM_OCCUPANCY The ratio of number of warps resident on an SM (in %). +# TYPE DCGM_FI_PROF_SM_OCCUPANCY gauge +DCGM_FI_PROF_SM_OCCUPANCY{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_SM_OCCUPANCY{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.076659 +DCGM_FI_PROF_SM_OCCUPANCY{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_SM_OCCUPANCY{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_PIPE_TENSOR_ACTIVE Ratio of cycles the tensor (HMMA) pipe is active (in %). +# TYPE DCGM_FI_PROF_PIPE_TENSOR_ACTIVE gauge +DCGM_FI_PROF_PIPE_TENSOR_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_TENSOR_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_TENSOR_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_TENSOR_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_DRAM_ACTIVE Ratio of cycles the device memory interface is active sending or receiving data (in %). +# TYPE DCGM_FI_PROF_DRAM_ACTIVE gauge +DCGM_FI_PROF_DRAM_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_DRAM_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.057027 +DCGM_FI_PROF_DRAM_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_DRAM_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_PIPE_FP64_ACTIVE Ratio of cycles the fp64 pipes are active (in %). +# TYPE DCGM_FI_PROF_PIPE_FP64_ACTIVE gauge +DCGM_FI_PROF_PIPE_FP64_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP64_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP64_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP64_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_PIPE_FP32_ACTIVE Ratio of cycles the fp32 pipes are active (in %). +# TYPE DCGM_FI_PROF_PIPE_FP32_ACTIVE gauge +DCGM_FI_PROF_PIPE_FP32_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP32_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.035223 +DCGM_FI_PROF_PIPE_FP32_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP32_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_PIPE_FP16_ACTIVE Ratio of cycles the fp16 pipes are active (in %). +# TYPE DCGM_FI_PROF_PIPE_FP16_ACTIVE gauge +DCGM_FI_PROF_PIPE_FP16_ACTIVE{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP16_ACTIVE{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP16_ACTIVE{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +DCGM_FI_PROF_PIPE_FP16_ACTIVE{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 0.000000 +# HELP DCGM_FI_PROF_PCIE_TX_BYTES The number of bytes of active pcie tx data including both header and payload. +# TYPE DCGM_FI_PROF_PCIE_TX_BYTES counter +DCGM_FI_PROF_PCIE_TX_BYTES{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 51759 +DCGM_FI_PROF_PCIE_TX_BYTES{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 6458985 +DCGM_FI_PROF_PCIE_TX_BYTES{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 55557 +DCGM_FI_PROF_PCIE_TX_BYTES{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 44995 +# HELP DCGM_FI_PROF_PCIE_RX_BYTES The number of bytes of active pcie rx data including both header and payload. +# TYPE DCGM_FI_PROF_PCIE_RX_BYTES counter +DCGM_FI_PROF_PCIE_RX_BYTES{gpu="0",UUID="GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a",device="nvidia0",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 98558 +DCGM_FI_PROF_PCIE_RX_BYTES{gpu="1",UUID="GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc",device="nvidia1",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 34013290 +DCGM_FI_PROF_PCIE_RX_BYTES{gpu="2",UUID="GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b",device="nvidia2",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 107180 +DCGM_FI_PROF_PCIE_RX_BYTES{gpu="3",UUID="GPU-1855988a-54ca-41c3-c62b-9d1996471e21",device="nvidia3",modelName="Tesla V100-SXM2-32GB",Hostname="scse-dell-06",container="",namespace="",pod=""} 89175 \ No newline at end of file diff --git a/scheduler/exporter-example.json b/scheduler/exporter-example.json new file mode 100644 index 0000000000000000000000000000000000000000..2f29c898a5013557eb9b89579a78e4a23dbf54aa --- /dev/null +++ b/scheduler/exporter-example.json @@ -0,0 +1,512 @@ +{ + "status": "success", + "data": { + "resultType": "vector", + "result": [ + { + "metric": { + "Hostname": "dell-61", + "UUID": "GPU-7365833d-66ef-ef57-74f9-8c5d844d54f2", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.61:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-12GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-wc2ct", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-61", + "UUID": "GPU-d56a5477-a272-1015-2874-ccc9340aaeab", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.61:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-16GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-wc2ct", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-62", + "UUID": "GPU-ea4d5e00-d259-d422-bef0-9e65cc2f31fa", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.62:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-12GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-8bdvb", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-62", + "UUID": "GPU-f57fcefb-a830-f210-576f-c3960a655794", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.62:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-16GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-8bdvb", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-63", + "UUID": "GPU-01020ff8-5d55-31c9-9d5d-e433bef1579d", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.63:9400", + "job": "dcgm-exporter", + "modelName": "NVIDIA GeForce RTX 2080 Ti", + "namespace": "monitoring", + "pod": "dcgm-exporter-w67j9", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "1" + ] + }, + { + "metric": { + "Hostname": "dell-63", + "UUID": "GPU-50dbcaf2-0289-c862-c69c-5c0a967021a1", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.63:9400", + "job": "dcgm-exporter", + "modelName": "NVIDIA GeForce RTX 2080 Ti", + "namespace": "monitoring", + "pod": "dcgm-exporter-w67j9", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "1" + ] + }, + { + "metric": { + "Hostname": "dell-64", + "UUID": "GPU-dd41b996-e5a4-0795-b048-18843bec604b", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.64:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-16GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-wgblx", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-64", + "UUID": "GPU-f8525b10-e569-e1c9-1f68-ee2d4b9392ac", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.64:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-12GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-wgblx", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-69", + "UUID": "GPU-07158423-2a57-7d89-348a-50b7e00617a9", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.69:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-12GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-hw8hl", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-69", + "UUID": "GPU-85733955-1f67-63fb-084b-c852770da8b2", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.69:9400", + "job": "dcgm-exporter", + "modelName": "Tesla P100-PCIE-16GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-hw8hl", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "dell-70", + "UUID": "GPU-60e95855-37bd-8d10-02ec-fb3723d2d962", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.70:9400", + "job": "dcgm-exporter", + "modelName": "NVIDIA TITAN Xp", + "namespace": "monitoring", + "pod": "dcgm-exporter-pz5cq", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "9528" + ] + }, + { + "metric": { + "Hostname": "dell-70", + "UUID": "GPU-e7dccab1-40a0-a0e3-1515-d98749303062", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.70:9400", + "job": "dcgm-exporter", + "modelName": "NVIDIA TITAN Xp", + "namespace": "monitoring", + "pod": "dcgm-exporter-pz5cq", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "7136" + ] + }, + { + "metric": { + "Hostname": "scse-dell-06", + "UUID": "GPU-1855988a-54ca-41c3-c62b-9d1996471e21", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia3", + "endpoint": "metrics", + "gpu": "3", + "instance": "192.168.5.66:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-qrbcz", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-06", + "UUID": "GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia2", + "endpoint": "metrics", + "gpu": "2", + "instance": "192.168.5.66:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-qrbcz", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-06", + "UUID": "GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.66:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-qrbcz", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-06", + "UUID": "GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.66:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-qrbcz", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "3865" + ] + }, + { + "metric": { + "Hostname": "scse-dell-07", + "UUID": "GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia2", + "endpoint": "metrics", + "gpu": "2", + "instance": "192.168.5.67:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-9t6cj", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "3" + ] + }, + { + "metric": { + "Hostname": "scse-dell-07", + "UUID": "GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.67:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-9t6cj", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-07", + "UUID": "GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia3", + "endpoint": "metrics", + "gpu": "3", + "instance": "192.168.5.67:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-9t6cj", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-07", + "UUID": "GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.67:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-9t6cj", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "1503" + ] + }, + { + "metric": { + "Hostname": "scse-dell-08", + "UUID": "GPU-21244380-1823-0bb9-e43e-13a9a86eac63", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia1", + "endpoint": "metrics", + "gpu": "1", + "instance": "192.168.5.68:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-7slxm", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-08", + "UUID": "GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia0", + "endpoint": "metrics", + "gpu": "0", + "instance": "192.168.5.68:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-7slxm", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-08", + "UUID": "GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia3", + "endpoint": "metrics", + "gpu": "3", + "instance": "192.168.5.68:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-7slxm", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "0" + ] + }, + { + "metric": { + "Hostname": "scse-dell-08", + "UUID": "GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e", + "__name__": "DCGM_FI_DEV_FB_USED", + "container": "dcgm-exporter", + "device": "nvidia2", + "endpoint": "metrics", + "gpu": "2", + "instance": "192.168.5.68:9400", + "job": "dcgm-exporter", + "modelName": "Tesla V100-SXM2-32GB", + "namespace": "monitoring", + "pod": "dcgm-exporter-7slxm", + "service": "dcgm-exporter" + }, + "value": [ + 1693114682.133, + "4183" + ] + } + ] + } +} \ No newline at end of file diff --git a/scheduler/go.mod b/scheduler/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..065799b5263c82301aedec27c5af3432c19f3d5e --- /dev/null +++ b/scheduler/go.mod @@ -0,0 +1,157 @@ +module kube-gpu/scheduler/v2 + +go 1.19 + +require ( + github.com/gin-gonic/gin v1.9.1 + k8s.io/api v0.22.1 + k8s.io/apimachinery v0.22.1 + k8s.io/component-base v0.22.1 + k8s.io/klog/v2 v2.9.0 + k8s.io/kubernetes v1.22.1 +) + +require ( + github.com/bytedance/sonic v1.10.1 // indirect + github.com/chenzhuoyu/base64x v0.0.0-20230717121745-296ad89f973d // indirect + github.com/chenzhuoyu/iasm v0.9.0 // indirect + github.com/gabriel-vasile/mimetype v1.4.2 // indirect + github.com/gin-contrib/sse v0.1.0 // indirect + github.com/go-playground/locales v0.14.1 // indirect + github.com/go-playground/universal-translator v0.18.1 // indirect + github.com/go-playground/validator/v10 v10.15.5 // indirect + github.com/goccy/go-json v0.10.2 // indirect + github.com/klauspost/cpuid/v2 v2.2.5 // indirect + github.com/leodido/go-urn v1.2.4 // indirect + github.com/mattn/go-isatty v0.0.19 // indirect + github.com/pelletier/go-toml/v2 v2.1.0 // indirect + github.com/pmezard/go-difflib v1.0.0 // indirect + github.com/twitchyliquid64/golang-asm v0.15.1 // indirect + github.com/ugorji/go/codec v1.2.11 // indirect + golang.org/x/arch v0.5.0 // indirect +) + +require ( + github.com/Azure/go-ansiterm v0.0.0-20210617225240-d185dfc1b5a1 // indirect + github.com/NYTimes/gziphandler v1.1.1 // indirect + github.com/PuerkitoBio/purell v1.1.1 // indirect + github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 // indirect + github.com/beorn7/perks v1.0.1 // indirect + github.com/blang/semver v3.5.1+incompatible // indirect + github.com/cespare/xxhash/v2 v2.1.1 // indirect + github.com/coreos/go-semver v0.3.0 // indirect + github.com/coreos/go-systemd/v22 v22.3.2 // indirect + github.com/cyphar/filepath-securejoin v0.2.2 // indirect + github.com/davecgh/go-spew v1.1.1 // indirect + github.com/docker/distribution v2.7.1+incompatible // indirect + github.com/emicklei/go-restful v2.9.5+incompatible // indirect + github.com/evanphx/json-patch v4.11.0+incompatible // indirect + github.com/felixge/httpsnoop v1.0.1 // indirect + github.com/go-logr/logr v0.4.0 // indirect + github.com/go-openapi/jsonpointer v0.19.5 // indirect + github.com/go-openapi/jsonreference v0.19.5 // indirect + github.com/go-openapi/swag v0.19.14 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da // indirect + github.com/golang/protobuf v1.5.2 // indirect + github.com/google/go-cmp v0.5.5 // indirect + github.com/google/gofuzz v1.1.0 // indirect + github.com/google/uuid v1.1.2 // indirect + github.com/googleapis/gnostic v0.5.5 // indirect + github.com/grpc-ecosystem/go-grpc-prometheus v1.2.0 // indirect + github.com/grpc-ecosystem/grpc-gateway v1.16.0 // indirect + github.com/imdario/mergo v0.3.5 // indirect + github.com/inconshreveable/mousetrap v1.0.0 // indirect + github.com/josharian/intern v1.0.0 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/mailru/easyjson v0.7.6 // indirect + github.com/matttproud/golang_protobuf_extensions v1.0.2-0.20181231171920-c182affec369 // indirect + github.com/moby/term v0.0.0-20210610120745-9d4ed1856297 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + github.com/munnerz/goautoneg v0.0.0-20191010083416-a7dc8b61c822 // indirect + github.com/opencontainers/go-digest v1.0.0 // indirect + github.com/opencontainers/runc v1.0.1 // indirect + github.com/pkg/errors v0.9.1 // indirect + github.com/prometheus/client_golang v1.11.0 + github.com/prometheus/client_model v0.2.0 // indirect + github.com/prometheus/common v0.26.0 // indirect + github.com/prometheus/procfs v0.6.0 // indirect + github.com/spf13/cobra v1.1.3 // indirect + github.com/spf13/pflag v1.0.5 // indirect + github.com/stretchr/testify v1.8.4 + go.etcd.io/etcd/api/v3 v3.5.0 // indirect + go.etcd.io/etcd/client/pkg/v3 v3.5.0 // indirect + go.etcd.io/etcd/client/v3 v3.5.0 // indirect + go.opentelemetry.io/contrib v0.20.0 // indirect + go.opentelemetry.io/contrib/instrumentation/google.golang.org/grpc/otelgrpc v0.20.0 // indirect + go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.20.0 // indirect + go.opentelemetry.io/otel v0.20.0 // indirect + go.opentelemetry.io/otel/exporters/otlp v0.20.0 // indirect + go.opentelemetry.io/otel/metric v0.20.0 // indirect + go.opentelemetry.io/otel/sdk v0.20.0 // indirect + go.opentelemetry.io/otel/sdk/export/metric v0.20.0 // indirect + go.opentelemetry.io/otel/sdk/metric v0.20.0 // indirect + go.opentelemetry.io/otel/trace v0.20.0 // indirect + go.opentelemetry.io/proto/otlp v0.7.0 // indirect + go.uber.org/atomic v1.7.0 // indirect + go.uber.org/multierr v1.6.0 // indirect + go.uber.org/zap v1.17.0 // indirect + golang.org/x/crypto v0.14.0 // indirect + golang.org/x/net v0.16.0 // indirect + golang.org/x/oauth2 v0.0.0-20200107190931-bf48bf16ab8d // indirect + golang.org/x/sync v0.0.0-20210220032951-036812b2e83c // indirect + golang.org/x/sys v0.13.0 // indirect + golang.org/x/term v0.13.0 // indirect + golang.org/x/text v0.13.0 // indirect + golang.org/x/time v0.0.0-20210723032227-1f47c861a9ac // indirect + golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1 // indirect + google.golang.org/appengine v1.6.5 // indirect + google.golang.org/genproto v0.0.0-20210602131652-f16073e35f0c // indirect + google.golang.org/grpc v1.38.0 // indirect + google.golang.org/protobuf v1.31.0 // indirect + gopkg.in/inf.v0 v0.9.1 // indirect + gopkg.in/natefinch/lumberjack.v2 v2.0.0 // indirect + gopkg.in/yaml.v2 v2.4.0 + gopkg.in/yaml.v3 v3.0.1 // indirect + k8s.io/apiserver v0.22.1 // indirect + k8s.io/client-go v0.22.1 + k8s.io/cloud-provider v0.22.1 // indirect + k8s.io/component-helpers v0.22.1 // indirect + k8s.io/csi-translation-lib v0.22.1 // indirect + k8s.io/kube-openapi v0.0.0-20210421082810-95288971da7e // indirect + k8s.io/kube-scheduler v0.0.0 // indirect + k8s.io/mount-utils v0.22.1 // indirect + k8s.io/utils v0.0.0-20210707171843-4b05e18ac7d9 // indirect + sigs.k8s.io/apiserver-network-proxy/konnectivity-client v0.0.22 // indirect + sigs.k8s.io/structured-merge-diff/v4 v4.1.2 // indirect + sigs.k8s.io/yaml v1.2.0 // indirect +) + +replace ( + k8s.io/api => k8s.io/api v0.22.1 + k8s.io/apiextensions-apiserver => k8s.io/apiextensions-apiserver v0.22.1 + k8s.io/apimachinery => k8s.io/apimachinery v0.22.1 + k8s.io/apiserver => k8s.io/apiserver v0.22.1 + k8s.io/cli-runtime => k8s.io/cli-runtime v0.22.1 + k8s.io/client-go => k8s.io/client-go v0.22.1 + k8s.io/cloud-provider => k8s.io/cloud-provider v0.22.1 + k8s.io/cluster-bootstrap => k8s.io/cluster-bootstrap v0.22.1 + k8s.io/code-generator => k8s.io/code-generator v0.22.1 + k8s.io/component-base => k8s.io/component-base v0.22.1 + k8s.io/component-helpers => k8s.io/component-helpers v0.22.1 + k8s.io/controller-manager => k8s.io/controller-manager v0.22.1 + k8s.io/cri-api => k8s.io/cri-api v0.22.1 + k8s.io/csi-translation-lib => k8s.io/csi-translation-lib v0.22.1 + k8s.io/kube-aggregator => k8s.io/kube-aggregator v0.22.1 + k8s.io/kube-controller-manager => k8s.io/kube-controller-manager v0.22.1 + k8s.io/kube-proxy => k8s.io/kube-proxy v0.22.1 + k8s.io/kube-scheduler => k8s.io/kube-scheduler v0.22.1 + k8s.io/kubectl => k8s.io/kubectl v0.22.1 + k8s.io/kubelet => k8s.io/kubelet v0.22.1 + k8s.io/legacy-cloud-providers => k8s.io/legacy-cloud-providers v0.22.1 + k8s.io/metrics => k8s.io/metrics v0.22.1 + k8s.io/mount-utils => k8s.io/mount-utils v0.22.1 + k8s.io/pod-security-admission => k8s.io/pod-security-admission v0.22.1 + k8s.io/sample-apiserver => k8s.io/sample-apiserver v0.22.1 +) diff --git a/scheduler/go.sum b/scheduler/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..1948a29c3a165537f95216bff826e326a6966943 --- /dev/null +++ b/scheduler/go.sum @@ -0,0 +1,1104 @@ +bitbucket.org/bertimus9/systemstat v0.0.0-20180207000608-0eeff89b0690/go.mod h1:Ulb78X89vxKYgdL24HMTiXYHlyHEvruOj1ZPlqeNEZM= +cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= +cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwredwwASm/v6AU= +cloud.google.com/go v0.44.2/go.mod h1:60680Gw3Yr4ikxnPRS/oxxkBccT6SA1yMk63TGekxKY= +cloud.google.com/go v0.45.1/go.mod h1:RpBamKRgapWJb87xiFSdk4g1CME7QZg3uwTez+TSTjc= +cloud.google.com/go v0.46.3/go.mod h1:a6bKKbmY7er1mI7TEI4lsAkts/mkhTSZK8w33B4RAg0= +cloud.google.com/go v0.50.0/go.mod h1:r9sluTvynVuxRIOHXQEHMFffphuXHOMZMycpNR5e6To= +cloud.google.com/go v0.51.0/go.mod h1:hWtGJ6gnXH+KgDv+V0zFGDvpi07n3z8ZNj3T1RW0Gcw= +cloud.google.com/go v0.52.0/go.mod h1:pXajvRH/6o3+F9jDHZWQ5PbGhn+o8w9qiu/CffaVdO4= +cloud.google.com/go v0.53.0/go.mod h1:fp/UouUEsRkN6ryDKNW/Upv/JBKnv6WDthjR6+vze6M= +cloud.google.com/go v0.54.0 h1:3ithwDMr7/3vpAMXiH+ZQnYbuIsh+OPhUPMFC9enmn0= +cloud.google.com/go v0.54.0/go.mod h1:1rq2OEkV3YMf6n/9ZvGWI3GWw0VoqH/1x2nd8Is/bPc= +cloud.google.com/go/bigquery v1.0.1/go.mod h1:i/xbL2UlR5RvWAURpBYZTtm/cXjCha9lbfbpx4poX+o= +cloud.google.com/go/bigquery v1.3.0/go.mod h1:PjpwJnslEMmckchkHFfq+HTD2DmtT67aNFKH1/VBDHE= +cloud.google.com/go/bigquery v1.4.0/go.mod h1:S8dzgnTigyfTmLBfrtrhyYhwRxG72rYxvftPBK2Dvzc= +cloud.google.com/go/datastore v1.0.0/go.mod h1:LXYbyblFSglQ5pkeyhO+Qmw7ukd3C+pD7TKLgZqpHYE= +cloud.google.com/go/datastore v1.1.0/go.mod h1:umbIZjpQpHh4hmRpGhH4tLFup+FVzqBi1b3c64qFpCk= +cloud.google.com/go/firestore v1.1.0/go.mod h1:ulACoGHTpvq5r8rxGJ4ddJZBZqakUQqClKRT5SZwBmk= +cloud.google.com/go/pubsub v1.0.1/go.mod h1:R0Gpsv3s54REJCy4fxDixWD93lHJMoZTyQ2kNxGRt3I= +cloud.google.com/go/pubsub v1.1.0/go.mod h1:EwwdRX2sKPjnvnqCa270oGRyludottCI76h+R3AArQw= +cloud.google.com/go/pubsub v1.2.0/go.mod h1:jhfEVHT8odbXTkndysNHCcx0awwzvfOlguIAii9o8iA= +cloud.google.com/go/storage v1.0.0/go.mod h1:IhtSnM/ZTZV8YYJWCY8RULGVqBDmpoyjwiyrjsg+URw= +cloud.google.com/go/storage v1.5.0/go.mod h1:tpKbwo567HUNpVclU5sGELwQWBDZ8gh0ZeosJ0Rtdos= +cloud.google.com/go/storage v1.6.0/go.mod h1:N7U0C8pVQ/+NIKOBQyamJIeKQKkZ+mxpohlUTyfDhBk= +dmitri.shuralyov.com/gpu/mtl v0.0.0-20190408044501-666a987793e9/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU= +dmitri.shuralyov.com/gpu/mtl v0.0.0-20201218220906-28db891af037/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU= +github.com/Azure/azure-sdk-for-go v55.0.0+incompatible/go.mod h1:9XXNKU+eRnpl9moKnB4QOLf1HestfXbmab5FXxiDBjc= +github.com/Azure/go-ansiterm v0.0.0-20170929234023-d6e3b3328b78/go.mod h1:LmzpDX56iTiv29bbRTIsUNlaFfuhWRQBWjQdVyAevI8= +github.com/Azure/go-ansiterm v0.0.0-20210608223527-2377c96fe795/go.mod h1:LmzpDX56iTiv29bbRTIsUNlaFfuhWRQBWjQdVyAevI8= +github.com/Azure/go-ansiterm v0.0.0-20210617225240-d185dfc1b5a1 h1:UQHMgLO+TxOElx5B5HZ4hJQsoJ/PvUvKRhJHDQXO8P8= +github.com/Azure/go-ansiterm v0.0.0-20210617225240-d185dfc1b5a1/go.mod h1:xomTg63KZ2rFqZQzSB4Vz2SUXa1BpHTVz9L5PTmPC4E= +github.com/Azure/go-autorest v14.2.0+incompatible/go.mod h1:r+4oMnoxhatjLLJ6zxSWATqVooLgysK6ZNox3g/xq24= +github.com/Azure/go-autorest/autorest v0.11.18/go.mod h1:dSiJPy22c3u0OtOKDNttNgqpNFY/GeWa7GH/Pz56QRA= +github.com/Azure/go-autorest/autorest/adal v0.9.13/go.mod h1:W/MM4U6nLxnIskrw4UwWzlHfGjwUS50aOsc/I3yuU8M= +github.com/Azure/go-autorest/autorest/date v0.3.0/go.mod h1:BI0uouVdmngYNUzGWeSYnokU+TrmwEsOqdt8Y6sso74= +github.com/Azure/go-autorest/autorest/mocks v0.4.1/go.mod h1:LTp+uSrOhSkaKrUy935gNZuuIPPVsHlr9DSOxSayd+k= +github.com/Azure/go-autorest/autorest/to v0.4.0/go.mod h1:fE8iZBn7LQR7zH/9XU2NcPR4o9jEImooCeWJcYV/zLE= +github.com/Azure/go-autorest/autorest/validation v0.1.0/go.mod h1:Ha3z/SqBeaalWQvokg3NZAlQTalVMtOIAs1aGK7G6u8= +github.com/Azure/go-autorest/logger v0.2.1/go.mod h1:T9E3cAhj2VqvPOtCYAvby9aBXkZmbF5NWuPV8+WeEW8= +github.com/Azure/go-autorest/tracing v0.6.0/go.mod h1:+vhtPC754Xsa23ID7GlGsrdKBpUA79WCAKPPZVC2DeU= +github.com/BurntSushi/toml v0.3.1 h1:WXkYYl6Yr3qBf1K79EBnL4mak0OimBfB0XUf9Vl28OQ= +github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU= +github.com/BurntSushi/xgb v0.0.0-20160522181843-27f122750802/go.mod h1:IVnqGOEym/WlBOVXweHU+Q+/VP0lqqI8lqeDx9IjBqo= +github.com/GoogleCloudPlatform/k8s-cloud-provider v0.0.0-20200415212048-7901bc822317/go.mod h1:DF8FZRxMHMGv/vP2lQP6h+dYzzjpuRn24VeRiYn3qjQ= +github.com/JeffAshton/win_pdh v0.0.0-20161109143554-76bb4ee9f0ab/go.mod h1:3VYc5hodBMJ5+l/7J4xAyMeuM2PNuepvHlGs8yilUCA= +github.com/MakeNowJust/heredoc v0.0.0-20170808103936-bb23615498cd/go.mod h1:64YHyfSL2R96J44Nlwm39UHepQbyR5q10x7iYa1ks2E= +github.com/Microsoft/go-winio v0.4.15-0.20190919025122-fc70bd9a86b5/go.mod h1:tTuCMEN+UleMWgg9dVx4Hu52b1bJo+59jBh3ajtinzw= +github.com/Microsoft/go-winio v0.4.15/go.mod h1:tTuCMEN+UleMWgg9dVx4Hu52b1bJo+59jBh3ajtinzw= +github.com/Microsoft/hcsshim v0.8.10-0.20200715222032-5eafd1556990/go.mod h1:ay/0dTb7NsG8QMDfsRfLHgZo/6xAJShLe1+ePPflihk= +github.com/NYTimes/gziphandler v0.0.0-20170623195520-56545f4a5d46/go.mod 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h1:Hr/htKFmJEbtMgS/UD0N+gtgctAqz81t3nu+sPzynno= +sigs.k8s.io/structured-merge-diff/v4 v4.1.2/go.mod h1:j/nl6xW8vLS49O8YvXW1ocPhZawJtm+Yrr7PPRQ0Vg4= +sigs.k8s.io/yaml v1.2.0 h1:kr/MCeFWJWTwyaHoR9c8EjH9OumOmoF9YGiZd7lFm/Q= +sigs.k8s.io/yaml v1.2.0/go.mod h1:yfXDCHCao9+ENCvLSE62v9VSji2MKu5jeNfTrofGhJc= diff --git a/scheduler/main.go b/scheduler/main.go new file mode 100644 index 0000000000000000000000000000000000000000..8a011857575a2954b9e79946f2bcd9289d69a07a --- /dev/null +++ b/scheduler/main.go @@ -0,0 +1,40 @@ +package main + +import ( + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/debug" + "kube-gpu/scheduler/v2/pkg/gpu" + "kube-gpu/scheduler/v2/pkg/latency" + "kube-gpu/scheduler/v2/pkg/plugin" + "kube-gpu/scheduler/v2/pkg/utils" + "math/rand" + "os" + "time" + + "k8s.io/component-base/logs" + "k8s.io/kubernetes/cmd/kube-scheduler/app" +) + +func main() { + rand.Seed(time.Now().UTC().UnixNano()) + logs.InitLogs() + defer logs.FlushLogs() + + cmd := app.NewSchedulerCommand( + app.WithPlugin(plugin.SparseName, plugin.SparseNew), + app.WithPlugin(plugin.LatencyName, plugin.LatencyNew), + app.WithPlugin(plugin.HorusName, plugin.HorusNew), + ) + + utils.LogInfo("start scheduler") + config.InitConfig("") + gpu.Init() + latency.Init() + debug.RunDebugServer() + + if err := cmd.Execute(); err != nil { + _, _ = fmt.Fprintf(os.Stderr, "%v\n", err) + os.Exit(1) + } +} diff --git a/scheduler/pkg/client/client.go b/scheduler/pkg/client/client.go new file mode 100644 index 0000000000000000000000000000000000000000..978d2c6d9dbbea31c3edee3dcbb1963a3b194de3 --- /dev/null +++ b/scheduler/pkg/client/client.go @@ -0,0 +1,40 @@ +package client + +import ( + "os" + "path/filepath" + + "k8s.io/client-go/kubernetes" + "k8s.io/client-go/rest" + "k8s.io/client-go/tools/clientcmd" + "k8s.io/client-go/util/flowcontrol" +) + +var ( + Clientset *kubernetes.Clientset +) + +func init() { + var err error + var config *rest.Config + var kubeconfig string + + if home := os.Getenv("HOME"); home != "" { + kubeconfig = filepath.Join(home, ".kube", "config") + } + + // 使用 ServiceAccount 创建集群配置（InCluster模式） + if config, err = rest.InClusterConfig(); err != nil { + // 使用 KubeConfig 文件创建集群配置 + if config, err = clientcmd.BuildConfigFromFlags("", kubeconfig); err != nil { + panic(err.Error()) + } + } + config.RateLimiter = flowcontrol.NewTokenBucketRateLimiter(200, 200) + + // 创建 clientset + Clientset, err = kubernetes.NewForConfig(config) + if err != nil { + panic(err.Error()) + } +} diff --git a/scheduler/pkg/config/config.go b/scheduler/pkg/config/config.go new file mode 100644 index 0000000000000000000000000000000000000000..fac973ee9e03ae057475a44a859f7f2ce38b9d13 --- /dev/null +++ b/scheduler/pkg/config/config.go @@ -0,0 +1,99 @@ +package config + +import ( + "fmt" + "io/ioutil" + "strconv" + + "k8s.io/apimachinery/pkg/util/yaml" +) + +const ( + V100 = "V100" + P100 = "P100" + TITAN = "TITAN" + C2080Ti = "2080Ti" +) + +var defaultConfig *Config + +type Config struct { + rawConfig + nodesMap map[string]*Node // node_name --> node + nodesIPMap map[string]*Node // node_ip --> node + uuid2id map[string]string // uuid --> id +} + +type rawConfig struct { + Prometheus Prometheus `json:"prometheus"` + Nodes []*Node `json:"nodes"` +} + +func InitConfig(path string) { + if len(path) == 0 { + path = "/etc/kubernetes/node-conf/config.yaml" + } + + data, err := ioutil.ReadFile(path) + if err != nil { + panic(err) + } + + rawConfig := rawConfig{} + if err = yaml.Unmarshal(data, &rawConfig); err != nil { + panic(err) + } + + defaultConfig = &Config{ + rawConfig: rawConfig, + nodesMap: make(map[string]*Node, len(rawConfig.Nodes)), + nodesIPMap: make(map[string]*Node, len(rawConfig.Nodes)), + uuid2id: make(map[string]string), + } + + for _, node := range rawConfig.Nodes { + defaultConfig.nodesMap[node.Name] = node + defaultConfig.nodesIPMap[node.Ip] = node + for id, uuid := range node.UUIDs { + defaultConfig.uuid2id[uuid] = strconv.Itoa(id) + } + } +} + +func GetConfig() *Config { + return defaultConfig +} + +func GetNodes() []*Node { + return defaultConfig.Nodes +} + +func GetNode(name string) *Node { + return defaultConfig.nodesMap[name] +} + +func GetNodeByIP(ip string) *Node { + return defaultConfig.nodesIPMap[ip] +} + +func IsSupportDetailUsage(node *Node) bool { + return node.Model == V100 +} + +func GetPrometheusHost() string { + return fmt.Sprintf("http://%s", defaultConfig.Prometheus.Host) +} + +func GetLatency(node1, node2 string) int { + if node1 == node2 { + return 0 + } + if defaultConfig.nodesMap[node1].Region == defaultConfig.nodesMap[node2].Region { + return 10 + } + return 100 +} + +func GetIDByUUID(uuid string) string { + return defaultConfig.uuid2id[uuid] +} diff --git a/scheduler/pkg/config/models.go b/scheduler/pkg/config/models.go new file mode 100644 index 0000000000000000000000000000000000000000..7e5098eb9e471b39b8e64c15c2f2c96074230ae1 --- /dev/null +++ b/scheduler/pkg/config/models.go @@ -0,0 +1,17 @@ +package config + +type Node struct { + Name string `json:"name" yaml:"name"` + Ip string `json:"ip" yaml:"ip"` + Gpu int `json:"gpu" yaml:"gpu"` + GpuMem int64 `json:"gpu-mem" yaml:"gpu-mem"` + Model string `json:"model" yaml:"model"` + UUIDs []string `json:"uuids" yaml:"uuids"` + Network string `json:"network" yaml:"network"` + NetworkBandwidthBytes int64 `json:"network_bandwidth_bytes" yaml:"network_bandwidth_bytes"` + Region string `json:"region" yaml:"region"` +} + +type Prometheus struct { + Host string `json:"host"` +} diff --git a/scheduler/pkg/debug/server.go b/scheduler/pkg/debug/server.go new file mode 100644 index 0000000000000000000000000000000000000000..d29d965902dcf1e5e2288af0862cf343e38ddd3f --- /dev/null +++ b/scheduler/pkg/debug/server.go @@ -0,0 +1,44 @@ +package debug + +import ( + "fmt" + "kube-gpu/scheduler/v2/pkg/gpu" + "kube-gpu/scheduler/v2/pkg/latency" + "kube-gpu/scheduler/v2/pkg/metrics" + "kube-gpu/scheduler/v2/pkg/utils" + "net/http" + + "github.com/gin-gonic/gin" +) + +const ( + debugPort = 6666 +) + +func RunDebugServer() { + server := gin.Default() + + server.GET("/current_state", CurrentState) + server.GET("/metrics", metrics.Handler()) + + go func() { + if err := server.Run(fmt.Sprintf(":%d", debugPort)); err != nil { + utils.LogErr("debug server exit:%v", err) + } + }() + +} + +func CurrentState(c *gin.Context) { + receiveUsage, transmitUsage := latency.GetAllNodesRealTimeNetworkUsage() + ret := map[string]interface{}{ + "latest_usage": gpu.GetAllInstanceLatestUsage(), + "realtime_usage": gpu.GetAllInstanceRealTimeUsage(), + "reserve_map": gpu.GetAllReserveGPUResource(), + "reserve_list": gpu.GetReserveList(), + "receive_usage": receiveUsage, + "transmit_usage": transmitUsage, + "reserve_order": gpu.GetReserveOrder(), + } + c.JSON(http.StatusOK, ret) +} diff --git a/scheduler/pkg/gpu/consts.go b/scheduler/pkg/gpu/consts.go new file mode 100644 index 0000000000000000000000000000000000000000..b9ed88143bb713cfa9f418256f480acb5fb2bfb7 --- /dev/null +++ b/scheduler/pkg/gpu/consts.go @@ -0,0 +1,17 @@ +package gpu + +const ( + QueryMetricsPath = "/api/v1/query" + + GPU_UTIL_METRICS = "DCGM_FI_DEV_GPU_UTIL" + GPU_MEM_METRICS = "DCGM_FI_DEV_FB_USED" + SM_ACTIVE_METRICS = "DCGM_FI_PROF_SM_ACTIVE" + SM_OCCPUIED_METRICS = "DCGM_FI_PROF_SM_OCCUPANCY" + DRAM_ACTIVE_METRICS = "DCGM_FI_PROF_DRAM_ACTIVE" + FP32_ACTIVE_METRICS = "DCGM_FI_PROF_PIPE_FP32_ACTIVE" + + UUIDTag = "UUID" + HostNameTag = "Hostname" + + StatusSuccess = "success" +) diff --git a/scheduler/pkg/gpu/gpu.go b/scheduler/pkg/gpu/gpu.go new file mode 100644 index 0000000000000000000000000000000000000000..ea1460dc1d29fb3e618adb1be17a90b0d298914f --- /dev/null +++ b/scheduler/pkg/gpu/gpu.go @@ -0,0 +1,243 @@ +package gpu + +import ( + "context" + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + "math" + "strconv" + "sync" + "time" +) + +const ( + interval = time.Second * 5 + maxRecentDataLen = 2 +) + +var ( + rw sync.RWMutex + recordUsage map[string]*models.GPUResourceUsageDetail // uuid --> usage + latestUsage map[string][]*models.GPUResourceUsageDetail // uuid --> []usage + realTimeUsage map[string]*models.GPUResourceUsageDetail // uuid --> usage + initial chan struct{} +) + +func Init() { + initial = make(chan struct{}) + go refreshRepeatly() + <-initial +} + +func refreshRepeatly() { + utils.LogInfo("start refresh nodes gpu usage from prometheus") + nodes := config.GetNodes() + realTimeUsage = make(map[string]*models.GPUResourceUsageDetail, len(nodes)) + latestUsage = make(map[string][]*models.GPUResourceUsageDetail, len(nodes)) + ctx := context.Background() + resp, err := fetchAllInstanceRealTimeUsage(ctx, nodes) + if err != nil { + panic(err) + } + rw.Lock() + for _, node := range nodes { + for _, instance := range node.UUIDs { + realTimeUsage[instance] = resp[instance] + latestUsage[instance] = []*models.GPUResourceUsageDetail{resp[instance]} + } + } + rw.Unlock() + close(initial) + ticker := time.NewTicker(interval) + for { + <-ticker.C + ctx := context.Background() + resp, err := fetchAllInstanceRealTimeUsage(ctx, nodes) + if err != nil { + utils.LogErr("getAllInstanceRealTimeUsage failed, err:%v", err) + continue + } + for _, node := range nodes { + for _, instance := range node.UUIDs { + if len(latestUsage[instance]) >= maxRecentDataLen { + latestUsage[instance] = append(latestUsage[instance][1:], resp[instance]) + } else { + latestUsage[instance] = append(latestUsage[instance], resp[instance]) + } + newVal := getAvgAndStd(instance) + // utils.LogInfo("latest val: %+v", *newVal) + rw.Lock() + realTimeUsage[instance] = newVal + rw.Unlock() + } + } + } +} + +func getAvgAndStd(instance string) *models.GPUResourceUsageDetail { + latests := latestUsage[instance] + fp32avg := float32(0) + smActiveAvg := float32(0) + smOccupiedAvg := float32(0) + dramAcitveAvg := float32(0) + gpuUtilAvg := float32(0) + gpuMemMax := float32(0) + for _, usage := range latests { + fp32avg += usage.Fp32ActiveAvg + smActiveAvg += usage.SmActiveAvg + smOccupiedAvg += usage.SmOccupiedAvg + dramAcitveAvg += usage.DramActiveAvg + gpuUtilAvg += usage.GpuUtilAvg + if usage.MemUsage > gpuMemMax { + gpuMemMax = usage.MemUsage + } + } + length := float32(len(latests)) + fp32avg /= length + smActiveAvg /= length + smOccupiedAvg /= length + dramAcitveAvg /= length + gpuUtilAvg /= length + ret := &models.GPUResourceUsageDetail{ + Fp32ActiveAvg: fp32avg, + SmActiveAvg: smActiveAvg, + SmOccupiedAvg: smOccupiedAvg, + DramActiveAvg: dramAcitveAvg, + GPUResourceUsage: models.GPUResourceUsage{ + GpuUtilAvg: gpuUtilAvg, + MemUsage: gpuMemMax, + }, + } + fp32Std := float64(0) + smActiveStd := float64(0) + smOccupiedStd := float64(0) + dramAcitveStd := float64(0) + gpuUtilStd := float64(0) + for _, usage := range latests { + fp32Std += math.Pow(float64(usage.Fp32ActiveAvg-fp32avg), 2) + smActiveStd += math.Pow(float64(usage.SmActiveAvg-smActiveAvg), 2) + smOccupiedStd += math.Pow(float64(usage.SmOccupiedAvg-smOccupiedAvg), 2) + dramAcitveStd += math.Pow(float64(usage.DramActiveAvg-dramAcitveAvg), 2) + gpuUtilStd += math.Pow(float64(usage.GpuUtilAvg-gpuUtilAvg), 2) + } + ret.Fp32ActiveStd = float32(math.Sqrt(fp32Std / math.Max(float64(length)-1, 1))) + ret.SmActiveStd = float32(math.Sqrt(smActiveStd / math.Max(float64(length)-1, 1))) + ret.SmOccupiedStd = float32(math.Sqrt(smOccupiedStd / math.Max(float64(length)-1, 1))) + ret.DramActiveStd = float32(math.Sqrt(dramAcitveStd / math.Max(float64(length)-1, 1))) + ret.GpuUtilStd = float32(math.Sqrt(gpuUtilStd / math.Max(float64(length)-1, 1))) + return ret +} + +func GetGPURecordResourceUsage(node *config.Node, gpuInstance string) *models.GPUResourceUsageDetail { + // TODO + rw.RLock() + defer rw.RUnlock() + return recordUsage[gpuInstance] +} + +func GetGPURealTimeResourceUsage(node *config.Node, gpuInstance string) *models.GPUResourceUsageDetail { + rw.RLock() + defer rw.RUnlock() + usage := realTimeUsage[gpuInstance] + if usage == nil { + return nil + } + return usage.DeepCopy() +} + +func GetGPUResourceUsageAndReserve(node *config.Node, gpuInstance string) *models.GPUResourceUsageDetail { + usage := GetGPURealTimeResourceUsage(node, gpuInstance) + reserve := GetReserveGPUResource(context.Background(), gpuInstance) + ret := usage.DeepCopy() + ret = ret.Add(reserve).DeepCopy() + if usage != nil && reserve != nil { + ret.MemUsage = models.Max(usage.MemUsage, reserve.MemUsage) + } + return ret +} + +func GetAllInstanceRealTimeUsage() map[string]*models.GPUResourceUsageDetail { + rw.RLock() + defer rw.RUnlock() + ret := make(map[string]*models.GPUResourceUsageDetail) + for k, v := range realTimeUsage { + ret[k] = v.DeepCopy() + } + return ret +} + +func GetAllInstanceLatestUsage() map[string][]*models.GPUResourceUsageDetail { + rw.RLock() + defer rw.RUnlock() + ret := make(map[string][]*models.GPUResourceUsageDetail) + for k, v := range latestUsage { + ret[k] = make([]*models.GPUResourceUsageDetail, 0, len(v)) + for _, usage := range v { + ret[k] = append(ret[k], usage.DeepCopy()) + } + } + return ret +} + +func fetchAllInstanceRealTimeUsage(ctx context.Context, nodes []*config.Node) (map[string]*models.GPUResourceUsageDetail, error) { + result := map[string]*models.GPUResourceUsageDetail{} + for _, node := range nodes { + for _, uuid := range node.UUIDs { + result[uuid] = &models.GPUResourceUsageDetail{} + } + } + queryList := []string{ + GPU_UTIL_METRICS, + GPU_MEM_METRICS, + SM_ACTIVE_METRICS, + SM_OCCPUIED_METRICS, + DRAM_ACTIVE_METRICS, + FP32_ACTIVE_METRICS, + } + + for _, query := range queryList { + resp := &models.PrometheusQueryBaseResponse{} + params := map[string]string{ + "query": query, + } + err := utils.GetJson(ctx, config.GetPrometheusHost(), QueryMetricsPath, nil, params, resp) + if err != nil || resp.Status != StatusSuccess { + utils.LogErr("request prometheus failed, query:%s, status: %s, err:%v", query, resp.Status, err) + return nil, err + } + for _, metric := range resp.Data.Result { + if len(metric.Value) != 2 { + utils.LogErr("prometheus response value length != 2, query:%s, hostname:%s, uuid:%s", query, metric.Metric[HostNameTag], metric.Metric[UUIDTag]) + return nil, fmt.Errorf("prometheus response value length != 2") + } + val, ok := metric.Value[1].(string) + if !ok { + utils.LogErr("prometheus response value[1] not string, query:%s, hostname:%s, uuid:%s", query, metric.Metric[HostNameTag], metric.Metric[UUIDTag]) + return nil, fmt.Errorf("prometheus response value[1] not string") + } + value64, _ := strconv.ParseFloat(val, 32) + value := float32(value64) + if _, exist := result[metric.Metric[UUIDTag]]; !exist { + continue + } + switch query { + case GPU_UTIL_METRICS: + result[metric.Metric[UUIDTag]].GpuUtilAvg = value + case GPU_MEM_METRICS: + result[metric.Metric[UUIDTag]].MemUsage = value / 1024 // GB + case SM_ACTIVE_METRICS: + result[metric.Metric[UUIDTag]].SmActiveAvg = value * 100 + case SM_OCCPUIED_METRICS: + result[metric.Metric[UUIDTag]].SmOccupiedAvg = value * 100 + case DRAM_ACTIVE_METRICS: + result[metric.Metric[UUIDTag]].DramActiveAvg = value * 100 + case FP32_ACTIVE_METRICS: + result[metric.Metric[UUIDTag]].Fp32ActiveAvg = value * 100 + } + } + } + + return result, nil +} diff --git a/scheduler/pkg/gpu/reserve.go b/scheduler/pkg/gpu/reserve.go new file mode 100644 index 0000000000000000000000000000000000000000..b058490700cfcb9e81ec72c02a8b1d69420285e1 --- /dev/null +++ b/scheduler/pkg/gpu/reserve.go @@ -0,0 +1,231 @@ +package gpu + +import ( + "context" + "fmt" + "kube-gpu/scheduler/v2/pkg/client" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + "sync" + "time" + + corev1 "k8s.io/api/core/v1" + "k8s.io/apimachinery/pkg/api/errors" + v1 "k8s.io/apimachinery/pkg/apis/meta/v1" +) + +type Reserve struct { + Alive int `json:"alive"` + UUID string `json:"uuid"` + PodName string `json:"pod_name"` + Namespace string `json:"namespace"` + models.GPUResourceUsageDetail +} + +func (r *Reserve) DeepCopy() *Reserve { + return &Reserve{ + Alive: r.Alive, + UUID: r.UUID, + PodName: r.PodName, + Namespace: r.Namespace, + GPUResourceUsageDetail: *r.GPUResourceUsageDetail.DeepCopy(), + } +} + +var ( + reserveMu sync.RWMutex + reservePodMap map[string]map[string]map[string]*Reserve // ns --> podName --> instance --> reserve + reserveMap map[string]*models.GPUResourceUsageDetail // uuid --> usage + reserveOrder []string // pod + reserveInstances map[string]map[string]struct{} // instance --> pod set +) + +func init() { + reservePodMap = make(map[string]map[string]map[string]*Reserve, 0) + reserveMap = make(map[string]*models.GPUResourceUsageDetail) + reserveOrder = make([]string, 0, 50) + reserveInstances = make(map[string]map[string]struct{}) + ticker := time.NewTicker(interval) + ctx := context.Background() + go func() { + for { + select { + case <-ticker.C: + RefreshReserveResource(ctx) + } + } + }() +} + +func ReserveGPUResource(ctx context.Context, instances []string, reserve *Reserve) error { + reserveMu.Lock() + defer reserveMu.Unlock() + for _, instance := range instances { + var ns map[string]map[string]*Reserve + var list map[string]*Reserve + var ok bool + if len(reserveInstances[instance]) >= 2 { + return fmt.Errorf("gpu %s already run 2 jobs", instance) + } + if _, ok = reserveInstances[instance]; !ok { + reserveInstances[instance] = map[string]struct{}{reserve.PodName: {}} + } else { + reserveInstances[instance][reserve.PodName] = struct{}{} + } + if ns, ok = reservePodMap[reserve.Namespace]; !ok { + ns = map[string]map[string]*Reserve{} + reservePodMap[reserve.Namespace] = ns + } + if list, ok = ns[reserve.PodName]; ok { + if _, ok = list[instance]; !ok { + list[instance] = &Reserve{ + Alive: reserve.Alive, + PodName: reserve.PodName, + Namespace: reserve.Namespace, + UUID: instance, + GPUResourceUsageDetail: reserve.GPUResourceUsageDetail, + } + } + } else { + list = map[string]*Reserve{ + instance: { + Alive: reserve.Alive, + PodName: reserve.PodName, + Namespace: reserve.Namespace, + UUID: instance, + GPUResourceUsageDetail: reserve.GPUResourceUsageDetail, + }} + ns[reserve.PodName] = list + } + reserveMap[instance] = reserveMap[instance].Add(&reserve.GPUResourceUsageDetail).DeepCopy() + } + reserveOrder = append(reserveOrder, reserve.PodName) + return nil +} + +func UnReserveGPUResource(ctx context.Context, podName, ns string) { + reserveMu.Lock() + defer reserveMu.Unlock() + if podsMap, ok := reservePodMap[ns]; ok { + if instancesMap, ok := podsMap[podName]; ok { + for instance, reserve := range instancesMap { + reserveMap[instance] = reserveMap[instance].Sub(&reserve.GPUResourceUsageDetail).DeepCopy() + if instanceReserve, ok := reserveInstances[instance]; ok { + delete(instanceReserve, podName) + } + } + delete(podsMap, podName) + } + if len(podsMap) == 0 { + delete(reservePodMap, ns) + } + } +} + +func RefreshReserveResource(ctx context.Context) { + reserveMu.Lock() + defer reserveMu.Unlock() + newNsMap := make(map[string]map[string]map[string]*Reserve) + newReserveMap := make(map[string]*models.GPUResourceUsageDetail) + for ns, nsMap := range reservePodMap { + newPodMap := make(map[string]map[string]*Reserve) + for pod, reserveList := range nsMap { + if p, err := client.Clientset.CoreV1().Pods(ns).Get(ctx, pod, v1.GetOptions{}); err != nil && !errors.IsNotFound(err) { + utils.LogWarn("RefreshReserve: get pod failed, pod:%s, ns:%s, err:%v", pod, ns, err) + } else if err != nil { + utils.LogInfo("RefreshReserve: pod not exist, remove reserve, pod:%s, ns:%s", pod, ns) + for instance := range reserveInstances { + delete(reserveInstances[instance], pod) + } + continue + } else if p.Status.Phase == corev1.PodSucceeded || p.Status.Phase == corev1.PodFailed { + utils.LogInfo("RefreshReserve: pod finish, remove reserve, pod:%s, ns:%s", pod, ns) + for instance := range reserveInstances { + delete(reserveInstances[instance], pod) + } + continue + } + newList := make(map[string]*Reserve) + for instance, reserve := range reserveList { + if reserve.Alive <= 0 { + newList[instance] = &Reserve{ + PodName: reserve.PodName, + UUID: reserve.UUID, + Alive: 0, + GPUResourceUsageDetail: models.GPUResourceUsageDetail{ + GPUResourceUsage: models.GPUResourceUsage{ + MemUsage: reserve.MemUsage, + }, + }, + } + continue + } + reserve.Alive-- + newList[instance] = reserve + } + newPodMap[pod] = newList + } + newNsMap[ns] = newPodMap + } + + reservePodMap = newNsMap + for _, nsMap := range reservePodMap { + for _, reserveList := range nsMap { + for _, reserve := range reserveList { + usage, ok := newReserveMap[reserve.UUID] + if !ok { + usage = &models.GPUResourceUsageDetail{} + newReserveMap[reserve.UUID] = usage + } + usage.Add(&reserve.GPUResourceUsageDetail) + } + } + } + reserveMap = newReserveMap + + if len(reserveOrder) > 50 { + reserveOrder = reserveOrder[len(reserveOrder)-50:] + } +} + +func CheckInstanceValid(ctx context.Context, instance string) bool { + reserveMu.RLock() + defer reserveMu.RUnlock() + return len(reserveInstances[instance]) < 2 +} + +func GetReserveGPUResource(ctx context.Context, instance string) *models.GPUResourceUsageDetail { + reserveMu.RLock() + defer reserveMu.RUnlock() + return reserveMap[instance].DeepCopy() +} + +func GetAllReserveGPUResource() map[string]*models.GPUResourceUsageDetail { + reserveMu.RLock() + defer reserveMu.RUnlock() + ret := make(map[string]*models.GPUResourceUsageDetail) + for k, v := range reserveMap { + ret[k] = v.DeepCopy() + } + return ret +} + +func GetReserveList() map[string]map[string]map[string]*Reserve { + reserveMu.RLock() + defer reserveMu.RUnlock() + ret := make(map[string]map[string]map[string]*Reserve) + for ns, pods := range reservePodMap { + ret[ns] = map[string]map[string]*Reserve{} + for pod, v := range pods { + ret[ns][pod] = map[string]*Reserve{} + for instance, r := range v { + ret[ns][pod][instance] = r.DeepCopy() + } + } + } + return ret +} + +func GetReserveOrder() []string { + return reserveOrder +} diff --git a/scheduler/pkg/latency/api.go b/scheduler/pkg/latency/api.go new file mode 100644 index 0000000000000000000000000000000000000000..2909d267be5b43c9563c1901cd4dead25b85ce67 --- /dev/null +++ b/scheduler/pkg/latency/api.go @@ -0,0 +1,132 @@ +package latency + +import ( + "context" + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + "strconv" + "sync" + "time" +) + +var ( + realTimeReceiveUsage map[string]float64 // node --> bytes + realTimeTransmitUsage map[string]float64 // node --> bytes + mu sync.RWMutex + initial chan struct{} + interval = time.Second * 30 +) + +func Init() { + initial = make(chan struct{}) + go refreshRepeatly() + <-initial +} + +func refreshRepeatly() { + utils.LogInfo("start refresh nodes network bytes usage from prometheus") + nodes := config.GetNodes() + realTimeReceiveUsage = make(map[string]float64, len(nodes)) + realTimeTransmitUsage = make(map[string]float64, len(nodes)) + ctx := context.Background() + receiveResp, transmitResp, err := fetchAllNodesNetworkBytesUsage(ctx, nodes) + if err != nil { + panic(err) + } + mu.Lock() + for _, node := range nodes { + realTimeReceiveUsage[node.Name] = receiveResp[node.Name] + realTimeTransmitUsage[node.Name] = transmitResp[node.Name] + } + mu.Unlock() + close(initial) + ticker := time.NewTicker(interval) + for { + <-ticker.C + ctx := context.Background() + receiveResp, transmitResp, err := fetchAllNodesNetworkBytesUsage(ctx, nodes) + if err != nil { + utils.LogErr("fetch all nodes network bytes usage failed, err:%v", err) + continue + } + mu.Lock() + for _, node := range nodes { + realTimeReceiveUsage[node.Name] = receiveResp[node.Name] + realTimeTransmitUsage[node.Name] = transmitResp[node.Name] + } + mu.Unlock() + } +} + +func fetchAllNodesNetworkBytesUsage(ctx context.Context, nodes []*config.Node) (receiveResp, transmitResp map[string]float64, err error) { + receiveResp = make(map[string]float64) + transmitResp = make(map[string]float64) + nodesMap := make(map[string]*config.Node) + for _, node := range nodes { + nodesMap[node.Name] = node + receiveResp[node.Name] = 0 + transmitResp[node.Name] = 0 + } + queryList := []string{ + PrometheusNetworkReceiveMetricName, + PrometheusNetworkTransmitMetricName, + } + for _, query := range queryList { + resp := &models.PrometheusQueryBaseResponse{} + params := map[string]string{ + "query": fmt.Sprintf("rate(%s[5m])", query), + } + err := utils.GetJson(ctx, config.GetPrometheusHost(), QueryMetricsPath, nil, params, resp) + if err != nil || resp.Status != StatusSuccess { + utils.LogErr("request prometheus failed, query:%s, status: %s, err:%v", query, resp.Status, err) + return nil, nil, err + } + for _, metric := range resp.Data.Result { + if node, ok := nodesMap[metric.Metric[HostNameTag]]; ok { + if node.Network == metric.Metric[DeviceTag] { + if len(metric.Value) != 2 { + utils.LogErr("prometheus response value length != 2, query:%s, hostname:%s", query, metric.Metric[HostNameTag]) + return nil, nil, fmt.Errorf("prometheus response value length != 2") + } + val, ok := metric.Value[1].(string) + if !ok { + utils.LogErr("prometheus response value[1] not string, query:%s, hostname:%s", query, metric.Metric[HostNameTag]) + return nil, nil, fmt.Errorf("prometheus response value[1] not string") + } + value64, _ := strconv.ParseFloat(val, 64) + switch query { + case PrometheusNetworkReceiveMetricName: + receiveResp[node.Name] += value64 + case PrometheusNetworkTransmitMetricName: + transmitResp[node.Name] += value64 + } + } + } + } + } + return receiveResp, transmitResp, nil +} + +func GetRealTimeNetworkUsage(node *config.Node) (receiveBytes, transmitBytes float64) { + mu.RLock() + defer mu.RUnlock() + receiveBytes = realTimeReceiveUsage[node.Name] + transmitBytes = realTimeTransmitUsage[node.Name] + return receiveBytes, transmitBytes +} + +func GetAllNodesRealTimeNetworkUsage() (receiveBytes, transmitBytes map[string]float64) { + mu.RLock() + defer mu.RUnlock() + receiveBytes = make(map[string]float64) + for k, v := range realTimeReceiveUsage { + receiveBytes[k] = v + } + transmitBytes = make(map[string]float64) + for k, v := range realTimeTransmitUsage { + transmitBytes[k] = v + } + return receiveBytes, transmitBytes +} diff --git a/scheduler/pkg/latency/consts.go b/scheduler/pkg/latency/consts.go new file mode 100644 index 0000000000000000000000000000000000000000..418950b17e932b442fdcb8f93b41c28e8bcefa3b --- /dev/null +++ b/scheduler/pkg/latency/consts.go @@ -0,0 +1,13 @@ +package latency + +const ( + QueryMetricsPath = "/api/v1/query" + + PrometheusNetworkReceiveMetricName = "node_network_receive_bytes_total" + PrometheusNetworkTransmitMetricName = "node_network_transmit_bytes_total" + + HostNameTag = "instance" + DeviceTag = "device" + + StatusSuccess = "success" +) diff --git a/scheduler/pkg/latency/sample.json b/scheduler/pkg/latency/sample.json new file mode 100644 index 0000000000000000000000000000000000000000..bc6384f9086c78ca2dc97af5fbdf5dddade55abe --- /dev/null +++ b/scheduler/pkg/latency/sample.json @@ -0,0 +1,2570 @@ +{ + "status": "success", + "data": { + "resultType": "vector", + "result": [ + { + "metric": { + "container": "kube-rbac-proxy", + "device": "bond0", + "instance": "dell-65", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-mftk8" + }, + "value": [ + 1697039419.679, + "67642.80833333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "bond0", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "57198.270833333336" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "bond0", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "277224.76666666666" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "bond0", + "instance": "dell-68", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-xkdfh" + }, + "value": [ + 1697039419.679, + "63728.69583333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "cni0", + "instance": "dell-61", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-cw5w8" + }, + "value": [ + 1697039419.679, + "27335.204166666666" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "cni0", + "instance": "dell-62", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-8nl8c" + }, + "value": [ + 1697039419.679, + "164861.9125" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "cni0", + "instance": "dell-63", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-9xrv4" + }, + "value": [ + 1697039419.679, + "28464.15" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "cni0", + "instance": "dell-64", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2lc8t" + }, + "value": [ + 1697039419.679, + "313718.3333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "cni0", + "instance": "dell-65", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-mftk8" + }, + "value": [ + 1697039419.679, + "25745.4875" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "cni0", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + 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"dell-65", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-mftk8" + }, + "value": [ + 1697039419.679, + "12.595833333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth84fa73ea", + "instance": "dell-65", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-mftk8" + }, + "value": [ + 1697039419.679, + "778.2083333333334" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth88fab66f", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "3649.65" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth8db0ef00", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "915.1583333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth929c8d1d", + "instance": "dell-63", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-9xrv4" + }, + "value": [ + 1697039419.679, + "11.475" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth946103a4", + "instance": "dell-62", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-8nl8c" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth96ce2e6d", + "instance": "dell-62", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-8nl8c" + }, + "value": [ + 1697039419.679, + "2862.2" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth97e5c307", + "instance": "master-60", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2q9nv" + }, + "value": [ + 1697039419.679, + "349.4125" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth98531c9", + "instance": "dell-70", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-5x8rr" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth98f047c8", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "3133.125" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth9a83d921", + "instance": "dell-64", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2lc8t" + }, + "value": [ + 1697039419.679, + "5.083333333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "veth9ab83aff", + "instance": "dell-64", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2lc8t" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vetha141b05f", + "instance": "dell-68", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-xkdfh" + }, + "value": [ + 1697039419.679, + "1073.1583333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vetha4d0e193", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "6.675" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vetha5ebe6d8", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "8.745833333333334" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vetha60e3b2a", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "1031.4375" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vetha707909f", + "instance": "master-60", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2q9nv" + }, + "value": [ + 1697039419.679, + "1940.6125" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethaf3672cb", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "811.3041666666667" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethb0e8de3c", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethb518cacc", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "17499.729166666668" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethb7924693", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "16007.295833333334" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethb996901d", + "instance": "dell-69", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-tlxv4" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethbd93b4a0", + "instance": "dell-64", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2lc8t" + }, + "value": [ + 1697039419.679, + "3.6" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethc375ba79", + "instance": "master-60", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2q9nv" + }, + "value": [ + 1697039419.679, + "14" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethc5d94368", + "instance": "dell-68", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-xkdfh" + }, + "value": [ + 1697039419.679, + "29076.175" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethc95e79f5", + "instance": "master-60", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2q9nv" + }, + "value": [ + 1697039419.679, + "1945.8125" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethd1e91482", + "instance": "master-60", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2q9nv" + }, + "value": [ + 1697039419.679, + "812.4916666666667" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethd3ff0cd9", + "instance": "dell-68", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-xkdfh" + }, + "value": [ + 1697039419.679, + "639.025" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethd564376d", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "50.4125" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethda81919b", + "instance": "dell-69", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-tlxv4" + }, + "value": [ + 1697039419.679, + "10.658333333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethe033d2ff", + "instance": "dell-65", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-mftk8" + }, + "value": [ + 1697039419.679, + "21.441666666666666" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethe311b3d9", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "57" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethe53031d0", + "instance": "dell-62", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-8nl8c" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethe5f3afb4", + "instance": "dell-69", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-tlxv4" + }, + "value": [ + 1697039419.679, + "1166.4708333333333" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethe69ab87a", + "instance": "dell-67", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-r8kn4" + }, + "value": [ + 1697039419.679, + "35023.26666666667" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vetheb681d59", + "instance": "dell-68", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-xkdfh" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethec1b9dd4", + "instance": "dell-61", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-cw5w8" + }, + "value": [ + 1697039419.679, + "26301.9" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethecca09fc", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethf359d1fb", + "instance": "dell-70", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-5x8rr" + }, + "value": [ + 1697039419.679, + "2289.8416666666667" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethf4e0f2ed", + "instance": "dell-61", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-cw5w8" + }, + "value": [ + 1697039419.679, + "1168.6833333333334" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethf544e939", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethf6fd7221", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethf78df04b", + "instance": "dell-65", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-mftk8" + }, + "value": [ + 1697039419.679, + "263.9" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethf9e94314", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "7.575" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "vethfb7b1b0b", + "instance": "dell-66", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-ztt9z" + }, + "value": [ + 1697039419.679, + "0" + ] + }, + { + "metric": { + "container": "kube-rbac-proxy", + "device": "wlp3s0", + "instance": "master-60", + "job": "node-exporter", + "namespace": "kubesphere-monitoring-system", + "pod": "node-exporter-2q9nv" + }, + "value": [ + 1697039419.679, + "0" + ] + } + ] + } +} \ No newline at end of file diff --git a/scheduler/pkg/metrics/metrics.go b/scheduler/pkg/metrics/metrics.go new file mode 100644 index 0000000000000000000000000000000000000000..44eb86d6e0957fab1889f7e1091561a9fc63cae6 --- /dev/null +++ b/scheduler/pkg/metrics/metrics.go @@ -0,0 +1,276 @@ +package metrics + +import ( + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/gpu" + "kube-gpu/scheduler/v2/pkg/latency" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + "sync" + "time" + + "github.com/gin-gonic/gin" + "github.com/prometheus/client_golang/prometheus" + "github.com/prometheus/client_golang/prometheus/promhttp" +) + +type NodeScore struct { + SparseScore int64 + LatencyScore int64 + Summary int64 +} + +var ( + mu sync.Mutex + scoreRecord map[string]*NodeScore // pod-->score + + // filter + GPUFilterReason *prometheus.GaugeVec + + // sparse score + SparseGPUScore *prometheus.GaugeVec + SparseNodeScore *prometheus.GaugeVec + SparseNodeScoreNormalize *prometheus.GaugeVec + + // reserve refresh + GPUUtilReserve *prometheus.GaugeVec + GPUMemReserve *prometheus.GaugeVec + GPUDramActiveReserve *prometheus.GaugeVec + GPUFP32ActiveReserve *prometheus.GaugeVec + GPUSMActiveReserve *prometheus.GaugeVec + GPUSMOccupancyReserve *prometheus.GaugeVec + NodeBandWidthUsage *prometheus.GaugeVec + + // latency score + LatencyNodeScore *prometheus.GaugeVec + LatencyNodeScoreNormalize *prometheus.GaugeVec + + // + NodeScoreNormalize *prometheus.GaugeVec + + // prebind + PodResult *prometheus.GaugeVec + PodDataSetScore *prometheus.GaugeVec // not relize +) + +func init() { + SparseGPUScore = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "SPARSE_GPU_SCORE", + Help: "sparse plugin gpu score", + }, []string{"pod", "namespace", "uuid", "node", "id", "ip"}) + SparseNodeScore = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "SPARSE_NODE_SCORE", + Help: "sparse plugin node score", + }, []string{"pod", "namespace", "node", "ip"}) + SparseNodeScoreNormalize = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "SPARSE_NODE_NORMALIZE_SCORE", + Help: "sparse plugin node normalize score", + }, []string{"pod", "namespace", "node", "ip"}) + GPUUtilReserve = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_UTIL_RESERVE", + Help: "scheduler gpu util reserve", + }, []string{"node", "uuid", "id", "ip"}) + GPUMemReserve = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_MEM_RESERVE", + Help: "scheduler gpu memory reserve", + }, []string{"node", "uuid", "id", "ip"}) + GPUDramActiveReserve = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_DRAM_ACTIVE_RESERVE", + Help: "scheduler gpu dram active reserve", + }, []string{"node", "uuid", "id", "ip"}) + GPUFP32ActiveReserve = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_FP32_ACTIVE_RESERVE", + Help: "scheduler gpu fp32 active reserve", + }, []string{"node", "uuid", "id", "ip"}) + GPUSMActiveReserve = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_SM_ACTIVE_RESERVE", + Help: "scheduler gpu sm active reserve", + }, []string{"node", "uuid", "id", "ip"}) + GPUSMOccupancyReserve = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_SM_OCCUPANCY_RESERVE", + Help: "scheduler gpu sm occupancy reserve", + }, []string{"node", "uuid", "id", "ip"}) + NodeBandWidthUsage = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "NODE_BANDWIDTH_USAGE", + Help: "scheduler node bandwidth usage", + }, []string{"node", "ip"}) + LatencyNodeScore = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "LATENCY_NODE_SCORE", + Help: "latency plugin node score", + }, []string{"pod", "namespace", "node", "ip"}) + LatencyNodeScoreNormalize = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "LATENCY_NODE_NORMALIZE_SCORE", + Help: "latency plugin node normalize score", + }, []string{"pod", "namespace", "node", "ip"}) + NodeScoreNormalize = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "NODE_NORMALIZE_SCORE", + Help: "node normalize score", + }, []string{"pod", "namespace", "node", "ip"}) + PodResult = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "POD_RESULT", + Help: "pod schedule result", + }, []string{"pod", "namespace", "node", "ip", "uuid", "id"}) + PodDataSetScore = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "POD_DATASET_SCORE", + Help: "pod dataset score result", + }, []string{"pod", "namespace", "dataset"}) + GPUFilterReason = prometheus.NewGaugeVec(prometheus.GaugeOpts{ + Name: "GPU_FILTER_REASON", + Help: "gpu filter reason", + }, []string{"pod", "namespace", "node", "uuid", "id", "reason"}) + + prometheus.MustRegister( + SparseGPUScore, + SparseNodeScore, + SparseNodeScoreNormalize, + GPUUtilReserve, + GPUMemReserve, + GPUDramActiveReserve, + GPUFP32ActiveReserve, + GPUSMActiveReserve, + GPUSMOccupancyReserve, + NodeBandWidthUsage, + LatencyNodeScore, + LatencyNodeScoreNormalize, + NodeScoreNormalize, + PodResult, + PodDataSetScore, + GPUFilterReason, + ) + + scoreRecord = make(map[string]*NodeScore) +} + +func Handler() gin.HandlerFunc { + go RefreshReserve() + return func(ctx *gin.Context) { + promhttp.Handler().ServeHTTP(ctx.Writer, ctx.Request) + } +} + +func RecordGPUFilterReason(node, uuid, id, pod, ns, reason string) { + GPUFilterReason.With(prometheus.Labels{"node": node, "pod": pod, "namespace": ns, "id": id, "uuid": uuid, "reason": reason}).Set(1) +} + +func RecordGPUSparseScore(node, ip, uuid, id, pod, ns string, score int64) { + SparseGPUScore.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id, "pod": pod, "namespace": ns}).Set(float64(score)) +} + +func RecordNodeSparseScore(node, ip, pod, ns string, score int64) { + SparseNodeScore.With(prometheus.Labels{"node": node, "ip": ip, "pod": pod, "namespace": ns}).Set(float64(score)) +} + +func RecordSparseNodeNormalizeScore(node, ip, pod, ns string, score int64) { + SparseNodeScoreNormalize.With(prometheus.Labels{"node": node, "ip": ip, "pod": pod, "namespace": ns}).Set(float64(score)) + mu.Lock() + defer mu.Unlock() + var nodeScore *NodeScore + var ok bool + if nodeScore, ok = scoreRecord[ns+pod+node]; !ok { + nodeScore = &NodeScore{ + SparseScore: score, + } + scoreRecord[ns+pod+node] = nodeScore + } else { + nodeScore.SparseScore = score + } + nodeScore.Summary = 10*nodeScore.SparseScore + 2*nodeScore.LatencyScore + NodeScoreNormalize.With(prometheus.Labels{"node": node, "ip": ip, "pod": pod, "namespace": ns}).Set(float64(nodeScore.Summary)) +} + +func RecordReserve(node, uuid, id, ip string, gpuUtilReserve, gpuMemoryReserve, dramActive, fp32Active, smActive, smOccupancy float32) { + GPUUtilReserve.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id}).Set(float64(gpuUtilReserve)) + GPUMemReserve.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id}).Set(float64(gpuMemoryReserve)) + GPUDramActiveReserve.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id}).Set(float64(dramActive)) + GPUFP32ActiveReserve.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id}).Set(float64(fp32Active)) + GPUSMActiveReserve.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id}).Set(float64(smActive)) + GPUSMOccupancyReserve.With(prometheus.Labels{"node": node, "ip": ip, "uuid": uuid, "id": id}).Set(float64(smOccupancy)) +} + +func RecordNodeBandWidthUsage(node, ip string, usage float64) { + NodeBandWidthUsage.With(prometheus.Labels{"node": node, "ip": ip}).Set(usage) +} + +func RecordLatencyNodeScore(node, ip, pod, ns string, score int64) { + LatencyNodeScore.With(prometheus.Labels{"node": node, "ip": ip, "pod": pod, "namespace": ns}).Set(float64(score)) +} + +func RecordLatencyNodeNormalizeScore(node, ip, pod, ns string, score int64) { + LatencyNodeScoreNormalize.With(prometheus.Labels{"node": node, "ip": ip, "pod": pod, "namespace": ns}).Set(float64(score)) + mu.Lock() + defer mu.Unlock() + var nodeScore *NodeScore + var ok bool + if nodeScore, ok = scoreRecord[ns+pod+node]; !ok { + nodeScore = &NodeScore{ + LatencyScore: score, + } + scoreRecord[ns+pod+node] = nodeScore + } else { + nodeScore.LatencyScore = score + } + nodeScore.Summary = 10*nodeScore.SparseScore + 2*nodeScore.LatencyScore + NodeScoreNormalize.With(prometheus.Labels{"node": node, "ip": ip, "pod": pod, "namespace": ns}).Set(float64(nodeScore.Summary)) +} + +func RecordPodResult(pod, ns, node, ip, uuids, ids string) { + PodResult.With(prometheus.Labels{"pod": pod, "namespace": ns, "node": node, "ip": ip, "uuid": uuids, "id": ids}).Set(1) +} + +func RecordPodDataSetScore(pod, ns, dataset string, score int64) { + PodDataSetScore.With(prometheus.Labels{"pod": pod, "namespace": ns, "dataset": dataset}).Set(float64(score)) +} + +func RefreshReserve() { + ticker := time.NewTicker(time.Second * 30) + for { + select { + case <-ticker.C: + reserve := gpu.GetAllReserveGPUResource() + usage := gpu.GetAllInstanceRealTimeUsage() + receive, transmit := latency.GetAllNodesRealTimeNetworkUsage() + nodes := config.GetNodes() + for _, node := range nodes { + for _, uuid := range node.UUIDs { + res := reserve[uuid] + use := usage[uuid] + ret := maxUsage(res, use) + if ret == nil { + continue + } + RecordReserve(node.Name, uuid, config.GetIDByUUID(uuid), node.Ip, ret.GpuUtilAvg, ret.MemUsage, ret.DramActiveAvg, ret.Fp32ActiveAvg, ret.SmActiveAvg, ret.SmOccupiedAvg) + } + usage := float64(0) + if r, ok := receive[node.Name]; ok { + usage += r + } + if t, ok := transmit[node.Name]; ok { + usage += t + } + RecordNodeBandWidthUsage(node.Name, node.Ip, usage/float64(node.NetworkBandwidthBytes)) + } + } + } +} + +func maxUsage(a, b *models.GPUResourceUsageDetail) *models.GPUResourceUsageDetail { + if a == nil && b == nil { + return nil + } + if a == nil { + return b + } + if b == nil { + return a + } + return &models.GPUResourceUsageDetail{ + GPUResourceUsage: models.GPUResourceUsage{ + GpuUtilAvg: utils.MaxFloat32(a.GpuUtilAvg, b.GpuUtilAvg), + MemUsage: utils.MaxFloat32(a.MemUsage, b.MemUsage), + }, + SmActiveAvg: utils.MaxFloat32(a.SmActiveAvg, b.SmActiveAvg), + SmOccupiedAvg: utils.MaxFloat32(a.SmOccupiedAvg, b.SmOccupiedAvg), + DramActiveAvg: utils.MaxFloat32(a.DramActiveAvg, b.DramActiveAvg), + Fp32ActiveAvg: utils.MaxFloat32(a.Fp32ActiveAvg, b.Fp32ActiveAvg), + } +} diff --git a/scheduler/pkg/models/consts.go b/scheduler/pkg/models/consts.go new file mode 100644 index 0000000000000000000000000000000000000000..37e82632dbd906ef5e26af15a246be93b9f1e908 --- /dev/null +++ b/scheduler/pkg/models/consts.go @@ -0,0 +1,8 @@ +package models + +const ( + NVIDIA_GPU_KEY = "nvidia.com/gpu" + + KUBE_GPU_SPARSE_LABEL_KEY = "kube-gpu-sparse/task_info" // json + KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY = "kube-gpu-sparse/resource_analyze" +) diff --git a/scheduler/pkg/models/models.go b/scheduler/pkg/models/models.go new file mode 100644 index 0000000000000000000000000000000000000000..dd039f2fbd6a5a1265999e95a13763af08bd9002 --- /dev/null +++ b/scheduler/pkg/models/models.go @@ -0,0 +1,228 @@ +package models + +import ( + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +// k8s input label +type TaskInfo struct { + TaskID uint64 `json:"task_id"` + IsEnd2End bool `json:"is_end2end"` + Macs float32 `json:"macs"` // M + Params float32 `json:"params"` // K + BatchSize int `json:"batch_size"` + EmbeddingSizeTotal float32 `json:"embedding_size_total"` // W + EmbeddingDimTotal int `json:"embedding_dim_total"` + EmbeddingTableCount int `json:"embedding_table_count"` + RelatedPods []TaskRelationship `json:"related_pods"` + DataSets []DataSetInfo `json:"datasets"` + InputSize int `json:"input_size"` +} + +func (t *TaskInfo) Clone() framework.StateData { + copyPods := make([]TaskRelationship, len(t.RelatedPods)) + copy(copyPods, t.RelatedPods) + copyDataSet := make([]DataSetInfo, len(t.DataSets)) + copy(copyDataSet, t.DataSets) + return &TaskInfo{ + TaskID: t.TaskID, + IsEnd2End: t.IsEnd2End, + Macs: t.Macs, + Params: t.Params, + BatchSize: t.BatchSize, + EmbeddingSizeTotal: t.EmbeddingSizeTotal, + EmbeddingDimTotal: t.EmbeddingDimTotal, + EmbeddingTableCount: t.EmbeddingTableCount, + RelatedPods: copyPods, + DataSets: copyDataSet, + InputSize: t.InputSize, + } +} + +type TaskRelationship struct { + Namespace string `json:"namespace"` + PodsList []string `josn:"pods_list"` + Type string `json:"type"` +} + +type DataSetInfo struct { + Name string `json:"name"` + Size int `json:"size"` +} + +// k8s output label +type TaskResourceAnalyzeResult struct { + End2End *End2EndResourceAnalyzeResult `json:"end2end"` + NotEnd2End *NotEnd2EndResourceAnalyzeResult `json:"not_end2end"` +} + +func (t *TaskResourceAnalyzeResult) Clone() framework.StateData { + ret := &TaskResourceAnalyzeResult{ + End2End: &End2EndResourceAnalyzeResult{}, + NotEnd2End: &NotEnd2EndResourceAnalyzeResult{}, + } + if t.End2End != nil { + t.End2End = &End2EndResourceAnalyzeResult{ + P100: t.End2End.P100, + V100: t.End2End.V100, + Ti2080: t.End2End.Ti2080, + TITAN: t.End2End.TITAN, + } + } + if t.NotEnd2End != nil { + ret.NotEnd2End = &NotEnd2EndResourceAnalyzeResult{ + LowUsageTimePercent: t.NotEnd2End.LowUsageTimePercent, + FirstSubmit: t.NotEnd2End.FirstSubmit, + Similarity: t.NotEnd2End.Similarity, + } + } + return ret +} + +// Pod GPU Request +type GPURequest struct { + GPURequest int +} + +func (g *GPURequest) Clone() framework.StateData { + return &GPURequest{ + GPURequest: g.GPURequest, + } +} + +// Gpu Instance +type InstanceScore struct { + Instance string + Score int64 +} + +func (i *InstanceScore) Clone() framework.StateData { + return &InstanceScore{ + Instance: i.Instance, + Score: i.Score, + } +} + +// Gpu Instance List +type InstanceScoreList []*InstanceScore + +func (is InstanceScoreList) Clone() framework.StateData { + ret := make(InstanceScoreList, len(is)) + for _, instance := range is { + ret = append(ret, instance.Clone().(*InstanceScore)) + } + return ret +} + +// end2end resource analyze +type GPUResourceUsage struct { + GpuUtilAvg float32 `json:"gpu_util_avg"` + GpuUtilStd float32 `json:"gpu_util_std"` + MemUsage float32 `json:"mem_usage"` // GB + Speed float32 `json:"speed"` +} + +type GPUResourceUsageDetail struct { + GPUResourceUsage + SmActiveAvg float32 `json:"sm_active_avg"` + SmActiveStd float32 `json:"sm_active_std"` + SmOccupiedAvg float32 `json:"sm_occupied_avg"` + SmOccupiedStd float32 `json:"sm_occupied_std"` + DramActiveAvg float32 `json:"dram_active_avg"` + DramActiveStd float32 `json:"dram_active_std"` + Fp32ActiveAvg float32 `json:"fp32_active_avg"` + Fp32ActiveStd float32 `json:"fp32_active_std"` +} + +type End2EndResourceAnalyzeResult struct { + P100 GPUResourceUsage `json:"P100"` + Ti2080 GPUResourceUsage `json:"2080"` + TITAN GPUResourceUsage `json:"TITAN"` + V100 GPUResourceUsageDetail `json:"V100"` +} + +type End2EndResourceAnalyzeResp struct { + Code int `json:"code"` + Msg string `json:"msg"` + Data *End2EndResourceAnalyzeResult `json:"data"` +} + +// NotEnd2End resource analyze +type NotEnd2EndResourceAnalyzeResult struct { + LowUsageTimePercent int `json:"low_usage_time"` + FirstSubmit bool `json:"first_submit"` + Similarity int `json:"similarity"` +} + +type PrometheusQueryBaseResponse struct { + Status string `json:"status"` + Data PrometheusQueryBaseResponseData `json:"data"` +} + +type PrometheusQueryBaseResponseData struct { + ResultType string `json:"resultType"` + Result []PrometheusQueryBaseResponseDataResult `json:"result"` +} + +type PrometheusQueryBaseResponseDataResult struct { + Metric map[string]string `json:"metric"` + Value []interface{} `json:"value"` +} + +func (g *GPUResourceUsageDetail) Add(o *GPUResourceUsageDetail) *GPUResourceUsageDetail { + if g == nil { + return o + } + if o == nil { + return g + } + g.GpuUtilAvg += o.GpuUtilAvg + g.SmActiveAvg += o.SmActiveAvg + g.SmOccupiedAvg += o.SmOccupiedAvg + g.DramActiveAvg += o.DramActiveAvg + g.Fp32ActiveAvg += o.Fp32ActiveAvg + g.MemUsage += o.MemUsage + return g +} + +func (g *GPUResourceUsageDetail) Sub(o *GPUResourceUsageDetail) *GPUResourceUsageDetail { + var f *GPUResourceUsageDetail + if g == nil { + f = &GPUResourceUsageDetail{} + return f.Sub(o) + } + if o == nil { + return g + } + g.GpuUtilAvg = Max(0, g.GpuUtilAvg-o.GpuUtilAvg) + g.SmActiveAvg = Max(0, g.SmActiveAvg-o.SmActiveAvg) + g.SmOccupiedAvg = Max(0, g.SmOccupiedAvg-o.SmOccupiedAvg) + g.DramActiveAvg = Max(0, g.DramActiveAvg-o.DramActiveAvg) + g.Fp32ActiveAvg = Max(0, g.Fp32ActiveAvg-o.Fp32ActiveAvg) + g.MemUsage = Max(0, g.MemUsage-o.MemUsage) + return g +} + +func (g *GPUResourceUsageDetail) DeepCopy() *GPUResourceUsageDetail { + if g == nil { + return nil + } + return &GPUResourceUsageDetail{ + GPUResourceUsage: g.GPUResourceUsage, + SmActiveAvg: g.SmActiveAvg, + SmActiveStd: g.SmActiveStd, + SmOccupiedAvg: g.SmOccupiedAvg, + SmOccupiedStd: g.SmOccupiedStd, + DramActiveAvg: g.DramActiveAvg, + DramActiveStd: g.DramActiveStd, + Fp32ActiveAvg: g.Fp32ActiveAvg, + Fp32ActiveStd: g.Fp32ActiveStd, + } +} + +func Max(a, b float32) float32 { + if a > b { + return a + } + return b +} diff --git a/scheduler/pkg/plugin/bind.go b/scheduler/pkg/plugin/bind.go new file mode 100644 index 0000000000000000000000000000000000000000..9c5c764b890bb38b31fb7f0ad1aa93b0885db70e --- /dev/null +++ b/scheduler/pkg/plugin/bind.go @@ -0,0 +1,139 @@ +package plugin + +import ( + "context" + "encoding/json" + "fmt" + "kube-gpu/scheduler/v2/pkg/client" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/metrics" + "kube-gpu/scheduler/v2/pkg/utils" + "strings" + + v1 "k8s.io/api/core/v1" + "k8s.io/apimachinery/pkg/api/errors" + metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +type DaemonsetBaseResp struct { + Code int `json:"code"` + Message string `json:"message"` +} + +// PreBind plugin bind chosen gpu instances into pod. +// via setting pod env config map. +func (s *KubeGpu) PreBind(ctx context.Context, state *framework.CycleState, pod *v1.Pod, nodeName string) *framework.Status { + // 1. read instances list from cycle state + instances, err := GetNodeInstanceScoreList(state, nodeName) + if err != nil { + utils.LogErr("PreBind: get instances score list from cycle state failed, pod:%s, node:%s, err:%v", pod.Name, nodeName, err) + return framework.NewStatus(framework.Error, "get instances score list failed") + } + taskInfo, err := GetTaskInfo(state) + if err != nil { + utils.LogErr("PreBind: get task info from cyclestate failed, err:%v", err) + return framework.NewStatus(framework.Error, "get task info failed") + } + // analyzeResult, err := GetTaskAnalyzeResult(state) + // if err != nil { + // utils.LogErr("KubeGpu Score: get task analyze from cyclestate failed, err:%v", err) + // return framework.NewStatus(framework.Error, "get task analyze failed") + // } + + // 2. extract to string list, reserve gpu resource + instancesStringList := []string{} + configNode := config.GetNode(nodeName) + for _, instance := range instances { + instancesStringList = append(instancesStringList, instance.Instance) + } + + utils.LogInfo("bind instances: %+v", instancesStringList) + if len(instancesStringList) == 0 { + utils.LogErr("bind instances empty, do not bind") + framework.NewStatus(framework.Error, "empty instances list") + } + + // 3. set binding instance list to env config map + if err := s.upsertConfigMap(ctx, GetNvidiaConfigMapName(pod.Name), pod.Namespace, map[string]string{ + "NVIDIA_VISIBLE_DEVICES": strings.Join(instancesStringList, ","), + "HOST": configNode.Ip, + }); err != nil { + utils.LogErr("upsert config map failed, pod:%s, ns:%s, err:%v", pod.Name, pod.Namespace, err) + return framework.NewStatus(framework.Error, fmt.Sprintf("prebind: upsert config map failed, err:%v", err)) + } + utils.LogInfo("bind: bind gpu instance success, pod:%s, ns:%s, instanceList:%v", pod.Name, pod.Namespace, instancesStringList) + + // 4. notify node dataset cache daemonset + if len(taskInfo.DataSets) == 0 { + utils.LogInfo("bind: empty dataset, skip bind data dir, pod:%s, ns:%s", pod.Name, pod.Namespace) + } else if data, err := utils.Get(ctx, fmt.Sprintf("http://%s:7654", configNode.Ip), "/bind", nil, map[string]string{ + "pod": pod.Name, + "namespace": pod.Namespace, + }); err != nil { + utils.LogErr("request node cache daemonset failed, pod:%s, ns:%s, node:%s err:%v", pod.Name, pod.Namespace, nodeName, err) + return framework.NewStatus(framework.Error, fmt.Sprintf("prebind: request node cache daemonset failed, err:%v", err)) + } else { + resp := &DaemonsetBaseResp{} + if err = json.Unmarshal(data, resp); err != nil { + utils.LogErr("unmarshal node cache daemonset response failed, pod:%s, ns:%s, node:%s err:%v", pod.Name, pod.Namespace, nodeName, err) + return framework.NewStatus(framework.Error, fmt.Sprintf("prebind: unmarshal node cache daemonset resp failed, err:%v", err)) + } + if resp.Code != 0 { + utils.LogErr("node cache daemonset response code not zero, pod:%s, ns:%s, node:%s msg:%v", pod.Name, pod.Namespace, nodeName, resp.Message) + return framework.NewStatus(framework.Error, fmt.Sprintf("prebind: node cache daemonset resp code not zero, err:%v", resp.Message)) + } + utils.LogInfo("bind: bind dataset success, pod:%s, ns:%s", pod.Name, pod.Namespace) + } + + ids := []string{} + for _, instance := range instancesStringList { + ids = append(ids, config.GetIDByUUID(instance)) + } + metrics.RecordPodResult(pod.Name, pod.Namespace, nodeName, configNode.Ip, strings.Join(instancesStringList, ","), strings.Join(ids, ",")) + // for _, dataset := range taskInfo.DataSets { + // metrics.RecordPodDataSetScore(pod.Name, pod.Namespace, dataset.Name, int64(analyzeResult.End2End.V100.Speed*float32(taskInfo.InputSize)/float32(dataset.Size))) + // } + + return framework.NewStatus(framework.Success, "") +} + +func (s *KubeGpu) upsertConfigMap(ctx context.Context, name, namespace string, data map[string]string) error { + configMap, err := client.Clientset.CoreV1().ConfigMaps(namespace).Get(ctx, name, metav1.GetOptions{}) + if err != nil && errors.IsNotFound(err) { + utils.LogInfo("config map not found, name:%s, namespace:%s, err:%v", name, namespace, err) + configMap = &v1.ConfigMap{ + ObjectMeta: metav1.ObjectMeta{ + Name: name, + Namespace: namespace, + }, + Data: data, + } + _, err := client.Clientset.CoreV1().ConfigMaps(namespace).Create(ctx, configMap, metav1.CreateOptions{}) + if err != nil { + utils.LogErr("create config map failed, name:%s, namespace:%s, err:%v", name, namespace, err) + return err + } + } else if err != nil { + utils.LogErr("get config map failed, name:%s, namespace:%s, err:%v", name, namespace, err) + return err + } + if len(configMap.Data) == 0 { + configMap.Data = data + } else { + for k, v := range data { + configMap.Data[k] = v + } + } + if _, err := client.Clientset.CoreV1().ConfigMaps(namespace).Update(ctx, configMap, metav1.UpdateOptions{}); err != nil { + utils.LogErr("update config map failed, name:%s, namespace:%s, err:%v", name, namespace, err) + return err + } + return nil +} + +// PreBind plugin bind chosen gpu instances into pod. +// via setting pod env config map. +func (h *Horus) PreBind(ctx context.Context, state *framework.CycleState, pod *v1.Pod, nodeName string) *framework.Status { + return h.kubegpu.PreBind(ctx, state, pod, nodeName) +} diff --git a/scheduler/pkg/plugin/consts.go b/scheduler/pkg/plugin/consts.go new file mode 100644 index 0000000000000000000000000000000000000000..867763702faeb5624c664f21ae67489f2ea7b11f --- /dev/null +++ b/scheduler/pkg/plugin/consts.go @@ -0,0 +1,12 @@ +package plugin + +const ( + GPURequestKey = "GPU_REQUEST_KEY" + TaskInfoCycleStateKey = "TASK_INFO" + TaskAnalyzeCycleStateKey = "TASK_ANALYZE" + InstancesScoreKeyPrefix = "INSTANCES_SCORE_" + + ConfigMapServerHost = "http://scheduler-config-map-manager-svc.kube-gpu-sparse" + ConfigMapServerUpsertPath = "/api/config-map/upsert" + ConfigMapNameSuffix = "-nvidia-gpu-env" +) diff --git a/scheduler/pkg/plugin/filter.go b/scheduler/pkg/plugin/filter.go new file mode 100644 index 0000000000000000000000000000000000000000..050f95d520b5e3ca72556b1db0ddf6b5442626b5 --- /dev/null +++ b/scheduler/pkg/plugin/filter.go @@ -0,0 +1,188 @@ +package plugin + +import ( + "context" + "encoding/json" + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/gpu" + "kube-gpu/scheduler/v2/pkg/metrics" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + + v1 "k8s.io/api/core/v1" + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +// PreFilter read and prepare data from pod labels/pod spec into cycleState. +// read pod label json data: taskInfo and taskAnalyzeResult. +// read pod gpu request data. +// store them into cycleState so that other plugin can read them fram cycleState. +func (s *KubeGpu) PreFilter(ctx context.Context, state *framework.CycleState, p *v1.Pod) *framework.Status { + // 1. read task info + taskInfoRaw := p.Annotations[models.KUBE_GPU_SPARSE_LABEL_KEY] + taskInfo := &models.TaskInfo{} + if err := json.Unmarshal([]byte(taskInfoRaw), taskInfo); err != nil { + utils.LogErr("unmarshal taskInfo failed, pod:%s, taskInfoRaw: %s, err:%v", p.Name, taskInfoRaw, err) + return framework.NewStatus(framework.Error, "unmashal taskInfo failed") + } + + // 2. read task analyze result + analyzeResultRaw := p.Annotations[models.KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY] + analyzeResult := &models.TaskResourceAnalyzeResult{} + if err := json.Unmarshal([]byte(analyzeResultRaw), analyzeResult); err != nil { + utils.LogErr("unmarshal analyzeResult failed, pod:%s, analyzeResultRaw: %s, err:%v", p.Name, analyzeResultRaw, err) + return framework.NewStatus(framework.Error, "unmarshal analyzeResult failed") + } + + // 3. read pod gpu request + gpuRequest := 0 + for _, container := range p.Spec.Containers { + quantity, ok := container.Resources.Limits[models.NVIDIA_GPU_KEY] + if !ok { + continue + } + request := (&quantity).Value() + utils.LogInfo("gpu request:%d, pod:%s", request, p.Name) + if int(request) > gpuRequest { + gpuRequest = int(request) + } + } + + utils.LogInfo("pod:%s, taskInfo:%+v, analyzeResult:%+v, gpuRequest:%v", p.Name, *taskInfo, *analyzeResult, gpuRequest) + + // 4. store them into cycleState + state.Write(framework.StateKey(GPURequestKey), &models.GPURequest{GPURequest: gpuRequest}) + state.Write(framework.StateKey(TaskInfoCycleStateKey), taskInfo) + state.Write(framework.StateKey(TaskAnalyzeCycleStateKey), analyzeResult) + return framework.NewStatus(framework.Success, "") +} + +func (s *KubeGpu) PreFilterExtensions() framework.PreFilterExtensions { + return s +} + +func (s *KubeGpu) AddPod(ctx context.Context, state *framework.CycleState, podToSchedule *v1.Pod, podInfoToAdd *framework.PodInfo, nodeInfo *framework.NodeInfo) *framework.Status { + return framework.NewStatus(framework.Success, "") +} + +func (s *KubeGpu) RemovePod(ctx context.Context, state *framework.CycleState, podToSchedule *v1.Pod, podInfoToRemove *framework.PodInfo, nodeInfo *framework.NodeInfo) *framework.Status { + return framework.NewStatus(framework.Success, "") +} + +// Filter filter nodes that gpu count not match. +// filter plugin also check if pod gpu memory request exceed node gpu memory capacity. +func (s *KubeGpu) Filter(ctx context.Context, state *framework.CycleState, pod *v1.Pod, node *framework.NodeInfo) *framework.Status { + utils.LogInfo("check filter pod: %v, nodename:%s", pod.Name, node.Node().Name) + // 1. init data + // 1.1 init node config + var configNode *config.Node + if configNode = config.GetNode(node.Node().Name); configNode == nil { + utils.LogErr("node not registered, node:%s", node.Node().Name) + return framework.NewStatus(framework.Unschedulable, "node not registered") + } + + // 1.2 read gpu request from cycle state + gpuRequest, err := GetGPURequest(state) + if err != nil { + utils.LogErr("filter: get gpu request from cyclestate failed, pod:%s, node:%s, err:%v", pod.Name, node.Node().Name, err) + return framework.NewStatus(framework.Error, "get gpu request failed") + } + + // 1.3 read task analyze result from cycle state + analyzeResult, err := GetTaskAnalyzeResult(state) + if err != nil { + utils.LogErr("filter: get taskAnalyze from cyclestate failed, pod:%s, node:%s, err:%v", pod.Name, node.Node().Name, err) + return framework.NewStatus(framework.Error, "get task analyze failed") + } + + // 2. check if gpu count match + // 2.1 check if pod gpu request match node gpu count + if gpuRequest.GPURequest > configNode.Gpu { + utils.LogInfo("node gpu not match, request:%d, cap:%d, node:%s, pod:%s", gpuRequest, configNode.Gpu, node.Node().Name, pod.Name) + if configNode.Gpu > 0 { + metrics.RecordGPUFilterReason(configNode.Name, "*", "*", pod.Name, pod.Namespace, "node gpu count not match") + } + return framework.NewStatus(framework.Unschedulable, "node gpu count not match") + } + + // 2.2 check if pod gpu memory reqeust exceed node gpu memory capacity; considering each gpu instance in this node + // 2.2.1 get pod gpu memory request for this node + gpuMemRequest := float32(0) + switch configNode.Model { + case config.P100: + gpuMemRequest = analyzeResult.End2End.P100.MemUsage + case config.V100: + gpuMemRequest = analyzeResult.End2End.V100.MemUsage + case config.TITAN: + gpuMemRequest = analyzeResult.End2End.TITAN.MemUsage + case config.C2080Ti: + gpuMemRequest = analyzeResult.End2End.Ti2080.MemUsage + default: + return framework.NewStatus(framework.Error, fmt.Sprintf("unknown node model:%s", configNode.Model)) + } + + // 2.2.2 filter gpu instance that gpu memory capacity not match pod gpu memory request + avaliableInstanceCount := configNode.Gpu + avaliableInstanceList := make(models.InstanceScoreList, 0, len(configNode.UUIDs)) + for _, instance := range configNode.UUIDs { + usage := gpu.GetGPUResourceUsageAndReserve(configNode, instance) + + if usage.MemUsage+gpuMemRequest >= float32(configNode.GpuMem) { + utils.LogInfo("node: %s, instance: %s gpu mem exceed, usage:%v, request:%v, pod:%s, ns:%s", configNode.Name, instance, usage.MemUsage, gpuMemRequest, pod.Name, pod.Namespace) + avaliableInstanceCount-- + metrics.RecordGPUFilterReason(configNode.Name, instance, config.GetIDByUUID(instance), pod.Name, pod.Namespace, "gpu mem exceed") + continue + } + + if !gpu.CheckInstanceValid(ctx, instance) { + utils.LogInfo("node: %s, instance: %s already running 2 jobs, pod:%s, ns:%s ") + avaliableInstanceCount-- + metrics.RecordGPUFilterReason(configNode.Name, instance, config.GetIDByUUID(instance), pod.Name, pod.Namespace, "gpu util exceed") + continue + } + + // if configNode.Model == config.V100 && usage.GpuUtilAvg >= 90 { + // utils.LogInfo("node: %s, instance: %s gpu util exceed, usage:%v, pod:%s, ns:%s", configNode.Name, instance, usage.GpuUtilAvg, pod.Name, pod.Namespace) + // avaliableInstanceCount-- + // continue + // } + + // if configNode.Model != config.V100 && usage.GpuUtilAvg >= 70 { + // utils.LogInfo("node: %s, instance: %s gpu util exceed, usage:%v, pod:%s, ns:%s", configNode.Name, instance, usage.GpuUtilAvg, pod.Name, pod.Namespace) + // avaliableInstanceCount-- + // continue + // } + + avaliableInstanceList = append(avaliableInstanceList, &models.InstanceScore{Instance: instance, Score: 0}) + } + + // 2.2.3 set avaliable instance list into cycle state; filter node if avaliable gpu count not match pod gpu count request + state.Write(framework.StateKey(GetInstanceScoreListKey(node.Node().Name)), avaliableInstanceList) + if gpuRequest.GPURequest > avaliableInstanceCount { + utils.LogInfo("node gpu memory or gpu util not enough, mem request:%f, cap:%d, node:%s, pod:%s", gpuMemRequest, configNode.GpuMem, node.Node().Name, pod.Name) + return framework.NewStatus(framework.Unschedulable, "node gpu memory not enough") + } + + return framework.NewStatus(framework.Success, "") +} + +func (h *Horus) PreFilter(ctx context.Context, state *framework.CycleState, p *v1.Pod) *framework.Status { + return h.kubegpu.PreFilter(ctx, state, p) +} + +func (h *Horus) PreFilterExtensions() framework.PreFilterExtensions { + return h +} + +func (h *Horus) AddPod(ctx context.Context, state *framework.CycleState, podToSchedule *v1.Pod, podInfoToAdd *framework.PodInfo, nodeInfo *framework.NodeInfo) *framework.Status { + return framework.NewStatus(framework.Success, "") +} + +func (h *Horus) RemovePod(ctx context.Context, state *framework.CycleState, podToSchedule *v1.Pod, podInfoToRemove *framework.PodInfo, nodeInfo *framework.NodeInfo) *framework.Status { + return framework.NewStatus(framework.Success, "") +} + +func (h *Horus) Filter(ctx context.Context, state *framework.CycleState, pod *v1.Pod, node *framework.NodeInfo) *framework.Status { + return h.kubegpu.Filter(ctx, state, pod, node) +} diff --git a/scheduler/pkg/plugin/plugin.go b/scheduler/pkg/plugin/plugin.go new file mode 100644 index 0000000000000000000000000000000000000000..c2667726e2660405990018a14d1d6b3c9cef89e0 --- /dev/null +++ b/scheduler/pkg/plugin/plugin.go @@ -0,0 +1,91 @@ +package plugin + +import ( + "context" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/score_model" + + "k8s.io/apimachinery/pkg/runtime" + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +const ( + // SparseName is plugin name + SparseName = "KubeGpuSparse" +) + +var _ framework.PreFilterPlugin = &KubeGpu{} +var _ framework.FilterPlugin = &KubeGpu{} +var _ framework.ScorePlugin = &KubeGpu{} +var _ framework.PreBindPlugin = &KubeGpu{} +var _ framework.ReservePlugin = &KubeGpu{} +var _ framework.QueueSortPlugin = &KubeGpu{} + +type KubeGpu struct { + handle framework.Handle + scoreFunc func(ctx context.Context, taskInfo *models.TaskInfo, analyzeResult *models.TaskResourceAnalyzeResult, gpuInstance string, node *config.Node) (int64, error) +} + +func SparseNew(_ runtime.Object, handle framework.Handle) (framework.Plugin, error) { + return &KubeGpu{ + handle: handle, + scoreFunc: score_model.CalculateGPUInstanceScore, + }, nil +} + +func (s *KubeGpu) Name() string { + return SparseName +} + +const ( + // Name is plugin name + LatencyName = "KubeGpuSparseLatency" +) + +var _ framework.ScorePlugin = &KubeGpuLatency{} + +type KubeGpuLatency struct { + handle framework.Handle +} + +func LatencyNew(_ runtime.Object, handle framework.Handle) (framework.Plugin, error) { + return &KubeGpuLatency{ + handle: handle, + }, nil +} + +func (s *KubeGpuLatency) Name() string { + return LatencyName +} + +const ( + // SparseName is plugin name + HorusName = "Horus" +) + +type Horus struct { + handle framework.Handle + kubegpu *KubeGpu +} + +var _ framework.PreFilterPlugin = &Horus{} +var _ framework.FilterPlugin = &Horus{} +var _ framework.ScorePlugin = &Horus{} +var _ framework.PreBindPlugin = &Horus{} +var _ framework.ReservePlugin = &Horus{} +var _ framework.QueueSortPlugin = &Horus{} + +func HorusNew(_ runtime.Object, handle framework.Handle) (framework.Plugin, error) { + return &Horus{ + handle: handle, + kubegpu: &KubeGpu{ + handle: handle, + scoreFunc: score_model.HorusScore, + }, + }, nil +} + +func (s *Horus) Name() string { + return HorusName +} diff --git a/scheduler/pkg/plugin/queuesort.go b/scheduler/pkg/plugin/queuesort.go new file mode 100644 index 0000000000000000000000000000000000000000..2b1956cf9ef6d26acc2e396cd36245a2b998fd28 --- /dev/null +++ b/scheduler/pkg/plugin/queuesort.go @@ -0,0 +1,59 @@ +package plugin + +import ( + "context" + "encoding/json" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +func (k *KubeGpu) Less(podA, podB *framework.QueuedPodInfo) bool { + // now := time.Now().Unix() + // podAScore := float64(utils.MaxInt64(1, now-podA.InitialAttemptTimestamp.Unix())) / float64(k.calcPodScore(podA)) + // podBScore := float64(utils.MaxInt64(1, now-podB.InitialAttemptTimestamp.Unix())) / float64(k.calcPodScore(podB)) + podAScore := k.calcPodScore(podA) + podBScore := k.calcPodScore(podB) + // utils.LogInfo("QueueSort: queue priority, podA: %.3f, podB: %.3f", podAScore, podBScore) + return podAScore < podBScore +} + +func (k *KubeGpu) calcPodScore(pod *framework.QueuedPodInfo) int64 { + // 计算最小pod分数：直接计算pod和节点的干扰度，按干扰分数倒序排序 + minScore := int64(-1) + taskInfoRaw := pod.Pod.Annotations[models.KUBE_GPU_SPARSE_LABEL_KEY] + taskInfo := &models.TaskInfo{} + if err := json.Unmarshal([]byte(taskInfoRaw), taskInfo); err != nil { + utils.LogErr("QueueSort: unmarshal taskInfo failed, pod:%s, taskInfoRaw: %s, err:%v", pod.Pod.Name, taskInfoRaw, err) + return 1 + } + + analyzeResultRaw := pod.Pod.Annotations[models.KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY] + analyzeResult := &models.TaskResourceAnalyzeResult{} + if err := json.Unmarshal([]byte(analyzeResultRaw), analyzeResult); err != nil { + utils.LogErr("QueueSort: unmarshal analyzeResult failed, pod:%s, analyzeResultRaw: %s, err:%v", pod.Pod.Name, analyzeResultRaw, err) + return 1 + } + ctx := context.Background() + nodes := config.GetNodes() + for _, node := range nodes { + for _, instance := range node.UUIDs { + score, err := k.scoreFunc(ctx, taskInfo, analyzeResult, instance, node) + if err != nil { + utils.LogWarn("QueueSort: instance not found %s", instance) + continue + } + if minScore == -1 || score < minScore { + minScore = score + } + } + } + utils.LogInfo("QueueSort: pod queue score %d, ns:%s, pod:%s", minScore, pod.Pod.Namespace, pod.Pod.Name) + return utils.MaxInt64(minScore, 1) +} + +func (h *Horus) Less(podA, podB *framework.QueuedPodInfo) bool { + return h.kubegpu.Less(podA, podB) +} diff --git a/scheduler/pkg/plugin/reserve.go b/scheduler/pkg/plugin/reserve.go new file mode 100644 index 0000000000000000000000000000000000000000..0887eafb99e6e4ce2bdb165f56527a8d1e839f7f --- /dev/null +++ b/scheduler/pkg/plugin/reserve.go @@ -0,0 +1,100 @@ +package plugin + +import ( + "context" + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/gpu" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + + v1 "k8s.io/api/core/v1" + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +// Reserve is called by the scheduling framework when the scheduler cache is +// updated. If this method returns a failed Status, the scheduler will call +// the Unreserve method for all enabled ReservePlugins. +func (k *KubeGpu) Reserve(ctx context.Context, state *framework.CycleState, pod *v1.Pod, nodeName string) *framework.Status { + analyzeResult, err := GetTaskAnalyzeResult(state) + if err != nil { + utils.LogErr("Reserve: get task analyze from cycle state failed, pod:%s, node:%s, err:%v", pod.Name, nodeName, err) + return framework.NewStatus(framework.Error, "reserve get task analyze failed") + } + gpuRequest, err := GetGPURequest(state) + if err != nil { + utils.LogErr("KubeGpu Score: get gpu request from cyclestate failed, err:%v", err) + return framework.NewStatus(framework.Error, "get gpu request failed") + } + instances, err := GetNodeInstanceScoreList(state, nodeName) + if err != nil || len(instances) > gpuRequest.GPURequest { + utils.LogWarn("Reserve: instances score list not exist, calc again, pod:%s, node:%s, err:%v", pod.Name, nodeName, err) + _, calcStatus := k.Score(ctx, state, pod, nodeName) + instances, err = GetNodeInstanceScoreList(state, nodeName) + if err != nil || len(instances) > gpuRequest.GPURequest { + utils.LogErr("Reserve: calc score failed get instances score list from cycle state failed, pod:%s, node:%s, err:%v, scoreRetrun:%v", pod.Name, nodeName, err, calcStatus) + return framework.NewStatus(framework.Error, "reserve get instances list failed") + } + } + instancesStringList := []string{} + configNode := config.GetNode(nodeName) + for _, instance := range instances { + instancesStringList = append(instancesStringList, instance.Instance) + } + resourceRequest := models.GPUResourceUsageDetail{} + switch configNode.Model { + case config.P100: + resourceRequest = models.GPUResourceUsageDetail{ + GPUResourceUsage: analyzeResult.End2End.P100, + } + case config.V100: + resourceRequest = analyzeResult.End2End.V100 + case config.TITAN: + resourceRequest = models.GPUResourceUsageDetail{ + GPUResourceUsage: analyzeResult.End2End.TITAN, + } + case config.C2080Ti: + resourceRequest = models.GPUResourceUsageDetail{ + GPUResourceUsage: analyzeResult.End2End.Ti2080, + } + default: + return framework.NewStatus(framework.Error, fmt.Sprintf("unknown node model:%s", configNode.Model)) + } + reserve := &gpu.Reserve{ + Alive: 24, + PodName: pod.Name, + Namespace: pod.Namespace, + GPUResourceUsageDetail: resourceRequest, + } + if err := gpu.ReserveGPUResource(ctx, instancesStringList, reserve); err != nil { + utils.LogErr("Reserve: reserve failed, ns:%s, pod:%s, err:%v", pod.Namespace, pod.Name, err) + return framework.NewStatus(framework.Error, fmt.Sprintf("reserve failed, gpu already run 2 jobs, err:%v", err)) + } + utils.LogInfo("Reserve: reserve success, ns:%s, pod:%s", pod.Namespace, pod.Name) + return framework.NewStatus(framework.Success) +} + +// Unreserve is called by the scheduling framework when a reserved pod was +// rejected, an error occurred during reservation of subsequent plugins, or +// in a later phase. The Unreserve method implementation must be idempotent +// and may be called by the scheduler even if the corresponding Reserve +// method for the same plugin was not called. +func (k *KubeGpu) Unreserve(ctx context.Context, state *framework.CycleState, p *v1.Pod, nodeName string) { + gpu.UnReserveGPUResource(ctx, p.Name, p.Namespace) +} + +// Reserve is called by the scheduling framework when the scheduler cache is +// updated. If this method returns a failed Status, the scheduler will call +// the Unreserve method for all enabled ReservePlugins. +func (h *Horus) Reserve(ctx context.Context, state *framework.CycleState, pod *v1.Pod, nodeName string) *framework.Status { + return h.kubegpu.Reserve(ctx, state, pod, nodeName) +} + +// Unreserve is called by the scheduling framework when a reserved pod was +// rejected, an error occurred during reservation of subsequent plugins, or +// in a later phase. The Unreserve method implementation must be idempotent +// and may be called by the scheduler even if the corresponding Reserve +// method for the same plugin was not called. +func (h *Horus) Unreserve(ctx context.Context, state *framework.CycleState, p *v1.Pod, nodeName string) { + h.kubegpu.Unreserve(ctx, state, p, nodeName) +} diff --git a/scheduler/pkg/plugin/score.go b/scheduler/pkg/plugin/score.go new file mode 100644 index 0000000000000000000000000000000000000000..7f9652fb6603924300a02fe3634034930b3d7241 --- /dev/null +++ b/scheduler/pkg/plugin/score.go @@ -0,0 +1,209 @@ +package plugin + +import ( + "context" + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/latency" + "kube-gpu/scheduler/v2/pkg/metrics" + "kube-gpu/scheduler/v2/pkg/models" + "kube-gpu/scheduler/v2/pkg/utils" + "math" + "sort" + + v1 "k8s.io/api/core/v1" + "k8s.io/apimachinery/pkg/api/errors" + metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +func (s *KubeGpu) CalculateNodeScore(ctx context.Context, pod, ns string, state *framework.CycleState, taskInfo *models.TaskInfo, analyzeResult *models.TaskResourceAnalyzeResult, gpuRequest int, node *config.Node) (int64, []*models.InstanceScore, error) { + // 0. read avaliable gpu instance in cycle state + scoreList := make([]*models.InstanceScore, 0, len(node.UUIDs)) + avaliableInstanceList, err := GetNodeInstanceScoreList(state, node.Name) + if err != nil { + return 0, nil, err + } + + // 1. calculate each instance score + for _, instanceScore := range avaliableInstanceList { + score, err := s.scoreFunc(ctx, taskInfo, analyzeResult, instanceScore.Instance, node) + if err != nil { + return 0, nil, fmt.Errorf("get node gpu instances score failed, ignore this node, err:%v", err) + } + utils.LogInfo("KubeGpu: taskID:%d, node:%s, instance:%s, score:%v", taskInfo.TaskID, node.Name, instanceScore.Instance, score) + instanceScore.Score = score + scoreList = append(scoreList, instanceScore) + metrics.RecordGPUSparseScore(node.Name, node.Ip, instanceScore.Instance, config.GetIDByUUID(instanceScore.Instance), pod, ns, score) + } + + // 2. get the min score sum and gpu instances list + sort.Slice(scoreList, func(i, j int) bool { + return scoreList[i].Score < scoreList[j].Score + }) + result := int64(0) + for i := 0; i < gpuRequest; i++ { + result += scoreList[i].Score + } + return result, scoreList[0:gpuRequest], nil +} + +// Score plugin calculate the gpu usage score for pod. +// calculate each instance score in this node. +// get the min instance score sum as the node score. +func (s *KubeGpu) Score(ctx context.Context, state *framework.CycleState, p *v1.Pod, nodeName string) (int64, *framework.Status) { + // 1. read task info/task analyze/gpu request from cycle state + taskInfo, err := GetTaskInfo(state) + if err != nil { + utils.LogErr("KubeGpu Score: get task info from cyclestate failed, err:%v", err) + return 0, framework.NewStatus(framework.Error, "get task info failed") + } + analyzeResult, err := GetTaskAnalyzeResult(state) + if err != nil { + utils.LogErr("KubeGpu Score: get task analyze from cyclestate failed, err:%v", err) + return 0, framework.NewStatus(framework.Error, "get task analyze failed") + } + gpuRequest, err := GetGPURequest(state) + if err != nil { + utils.LogErr("KubeGpu Score: get gpu request from cyclestate failed, err:%v", err) + return 0, framework.NewStatus(framework.Error, "get gpu request failed") + } + utils.LogInfo("KubeGpu Score: pod:%s, node:%s, taskInfo:%+v, analyzeResult:%+v, gpuRequest:%d", p.Name, nodeName, *taskInfo, *analyzeResult, gpuRequest.GPURequest) + + // 2. calculate node score and update instance score list into cycle state + score, instances, err := s.CalculateNodeScore(ctx, p.Name, p.Namespace, state, taskInfo, analyzeResult, gpuRequest.GPURequest, config.GetNode(nodeName)) + if err != nil { + utils.LogErr("KubeGpu calculate node score failed, node:%s, err:%v", nodeName, err) + return 0, framework.NewStatus(framework.Unschedulable, "calculate node score failed") + } + metrics.RecordNodeSparseScore(nodeName, config.GetNode(nodeName).Ip, p.Name, p.Namespace, score) + utils.LogInfo("KubeGpu pod:%s, node:%v score:%v", p.Name, nodeName, score) + state.Write(framework.StateKey(GetInstanceScoreListKey(nodeName)), models.InstanceScoreList(instances)) + + return score, framework.NewStatus(framework.Success, "") +} + +func (s *KubeGpu) ScoreExtensions() framework.ScoreExtensions { + return s +} + +// NormalizeScore normalize the node score. +// node score range [0, 100]. +// normalize by min max percentage +func (s *KubeGpu) NormalizeScore(ctx context.Context, state *framework.CycleState, p *v1.Pod, scores framework.NodeScoreList) *framework.Status { + normalize(ctx, state, p, scores) + for _, nodeScore := range scores { + metrics.RecordSparseNodeNormalizeScore(nodeScore.Name, config.GetNode(nodeScore.Name).Ip, p.Name, p.Namespace, nodeScore.Score) + } + return framework.NewStatus(framework.Success, "") +} + +// Score plugin calculate the latency and network bandwith usage score for pod +// calculate the avg latency for communicating with task related pods +// calculate the node bandwith usage percentage by incomming and outcomming bandwith usage +// score = latency_avg * e^network_bandwith_usage_percentage +func (s *KubeGpuLatency) Score(ctx context.Context, state *framework.CycleState, p *v1.Pod, nodeName string) (score int64, status *framework.Status) { + defer func() { + utils.LogInfo("KubeGPULatency score:%d, node:%s, pod:%s", score, nodeName, p.Name) + }() + // 1. read task info from cycle state + taskInfo, err := GetTaskInfo(state) + if err != nil { + utils.LogErr("KubeGpuLatency Score: get task info from cyclestate failed, err:%v", err) + return 0, framework.NewStatus(framework.Error, "get task info failed") + } + utils.LogInfo("KubeGpuLatency Score: taskInfo:%+v", taskInfo) + node := config.GetNode(nodeName) + defer func() { + metrics.RecordLatencyNodeScore(nodeName, node.Ip, p.Name, p.Namespace, score) + }() + // 2.1 calculate bandwidth occupacy avg + incomming, outcomming := latency.GetRealTimeNetworkUsage(node) + if p.Spec.RestartPolicy == v1.RestartPolicyAlways { + return int64(100 * (incomming + outcomming) / float64(node.NetworkBandwidthBytes)), framework.NewStatus(framework.Success, "") + } + // 2.2 calculate latency avg + sum := 0 + count := 0 + for _, pods := range taskInfo.RelatedPods { + for _, pod := range pods.PodsList { + podInstance, err := s.handle.ClientSet().CoreV1().Pods(pods.Namespace).Get(ctx, pod, metav1.GetOptions{}) + if err != nil && !errors.IsNotFound(err) { + return 0, framework.NewStatus(framework.Error, err.Error()) + } else if err != nil || len(podInstance.Status.HostIP) == 0 { + utils.LogInfo("KubeGpuLatency Score: pod not exist or host ip empty") + continue + } + relatedNode := config.GetNodeByIP(podInstance.Status.HostIP) + sum += config.GetLatency(relatedNode.Name, nodeName) + count++ + } + } + + // 3. calculate latency score + if count == 0 { + return 0, framework.NewStatus(framework.Success, "") + } + latencyScore := float64(sum / count) + result := int(latencyScore * math.Pow(math.E, (incomming+outcomming)/float64(node.NetworkBandwidthBytes))) + return int64(result), framework.NewStatus(framework.Success, "") +} + +func (s *KubeGpuLatency) ScoreExtensions() framework.ScoreExtensions { + return s +} + +// NormalizeScore normalize the node score. +// node score range [0, 100]. +// normalize by min max percentage +func (s *KubeGpuLatency) NormalizeScore(ctx context.Context, state *framework.CycleState, p *v1.Pod, scores framework.NodeScoreList) *framework.Status { + normalize(ctx, state, p, scores) + for _, nodeScore := range scores { + metrics.RecordLatencyNodeNormalizeScore(nodeScore.Name, config.GetNode(nodeScore.Name).Ip, p.Name, p.Namespace, nodeScore.Score) + } + return framework.NewStatus(framework.Success, "") +} + +// Score plugin calculate the gpu usage score for pod. +// calculate each instance score in this node. +// get the min instance score sum as the node score. +func (h *Horus) Score(ctx context.Context, state *framework.CycleState, p *v1.Pod, nodeName string) (int64, *framework.Status) { + return h.kubegpu.Score(ctx, state, p, nodeName) +} + +func (h *Horus) ScoreExtensions() framework.ScoreExtensions { + return h +} + +// NormalizeScore normalize the node score. +// node score range [0, 100]. +// normalize by min max percentage +func (h *Horus) NormalizeScore(ctx context.Context, state *framework.CycleState, p *v1.Pod, scores framework.NodeScoreList) *framework.Status { + return h.kubegpu.NormalizeScore(ctx, state, p, scores) +} + +func normalize(ctx context.Context, state *framework.CycleState, p *v1.Pod, scores framework.NodeScoreList) { + // 1. find the min score and max score + var minNodeScore int64 = math.MaxInt64 + var maxNodeScore int64 = 0 + for _, nodeScore := range scores { + if nodeScore.Score < minNodeScore { + minNodeScore = nodeScore.Score + } + if nodeScore.Score > maxNodeScore { + maxNodeScore = nodeScore.Score + } + } + + // 2. normalize + length := maxNodeScore - minNodeScore + for i, nodeScore := range scores { + if length == 0 { + scores[i].Score = 100 + } else { + scores[i].Score = 100 * (maxNodeScore - nodeScore.Score) / length + } + } + + utils.LogInfo("NormalizeScore: pod:%s, scoreList:%+v", p.Name, scores) +} diff --git a/scheduler/pkg/plugin/utils.go b/scheduler/pkg/plugin/utils.go new file mode 100644 index 0000000000000000000000000000000000000000..b8c1458e5ea9d2fbb62bdbbaaee55603ff2086ce --- /dev/null +++ b/scheduler/pkg/plugin/utils.go @@ -0,0 +1,52 @@ +package plugin + +import ( + "fmt" + "kube-gpu/scheduler/v2/pkg/models" + + "k8s.io/kubernetes/pkg/scheduler/framework" +) + +func GetGPURequest(state *framework.CycleState) (*models.GPURequest, error) { + gpuRequestData, err := state.Read(GPURequestKey) + if err != nil { + return nil, err + } + gpuRequest, _ := gpuRequestData.(*models.GPURequest) + return gpuRequest, nil +} + +func GetTaskAnalyzeResult(state *framework.CycleState) (*models.TaskResourceAnalyzeResult, error) { + taskAnalyzeData, err := state.Read(TaskAnalyzeCycleStateKey) + if err != nil { + return nil, err + } + taskAnalyze, _ := taskAnalyzeData.(*models.TaskResourceAnalyzeResult) + return taskAnalyze, nil +} + +func GetTaskInfo(state *framework.CycleState) (*models.TaskInfo, error) { + taskInfoData, err := state.Read(TaskInfoCycleStateKey) + if err != nil { + return nil, err + } + taskInfo, _ := taskInfoData.(*models.TaskInfo) + return taskInfo, nil +} + +func GetInstanceScoreListKey(nodeName string) string { + return fmt.Sprintf("%s%s", InstancesScoreKeyPrefix, nodeName) +} + +func GetNvidiaConfigMapName(podName string) string { + return fmt.Sprintf("%s%s", podName, ConfigMapNameSuffix) +} + +func GetNodeInstanceScoreList(state *framework.CycleState, nodeName string) (models.InstanceScoreList, error) { + instanceScoreListData, err := state.Read(framework.StateKey(GetInstanceScoreListKey(nodeName))) + if err != nil { + return nil, err + } + instanceScoreList, _ := instanceScoreListData.(models.InstanceScoreList) + return instanceScoreList, nil +} diff --git a/scheduler/pkg/score_model/score_model.go b/scheduler/pkg/score_model/score_model.go new file mode 100644 index 0000000000000000000000000000000000000000..3fcb4d7c01d7b2ebc2eb925a574830bc66583c6f --- /dev/null +++ b/scheduler/pkg/score_model/score_model.go @@ -0,0 +1,147 @@ +package score_model + +import ( + "context" + "fmt" + "kube-gpu/scheduler/v2/pkg/config" + "kube-gpu/scheduler/v2/pkg/gpu" + "kube-gpu/scheduler/v2/pkg/models" + "math" +) + +const ( + multi = 1000 + e = 2.71828 +) + +var ( + v100_gpu_util_avg_a float32 = 1.0 + v100_gpu_util_std_a float32 = 1.0 + v100_sm_active_avg_a float32 = 1.0 + v100_sm_active_std_a float32 = 1.0 + v100_sm_occupied_avg_a float32 = 1.0 + v100_sm_occupied_std_a float32 = 1.0 + v100_fp32_active_avg_a float32 = 1.0 + v100_fp32_active_std_a float32 = 1.0 + v100_dram_copy_avg_a float32 = 1.0 + v100_dram_copy_std_a float32 = 1.0 + + v100_gpu_core_w float32 = 0.5 + v100_gpu_mem_w float32 = 1.0 +) // V100 + +var ( + p100_gpu_util_avg_a float32 = 1.0 + p100_gpu_util_std_a float32 = 1.0 + + p100_gpu_core_w float32 = 1.0 + p100_gpu_mem_w float32 = 1.0 +) // P100 + +var ( + titan_gpu_util_avg_a float32 = 1.0 + titan_gpu_util_std_a float32 = 1.0 + + titan_gpu_core_w float32 = 1.0 + titan_gpu_mem_w float32 = 1.0 +) // TITAN + +var ( + c2080ti_gpu_util_avg_a float32 = 1.0 + c2080ti_gpu_util_std_a float32 = 1.0 + + c2080ti_gpu_core_w float32 = 1.0 + c2080ti_gpu_mem_w float32 = 1.0 +) // 2080Ti + +func CalculateGPUInstanceScore(ctx context.Context, taskInfo *models.TaskInfo, analyzeResult *models.TaskResourceAnalyzeResult, gpuInstance string, node *config.Node) (int64, error) { + instanceUsage := gpu.GetGPUResourceUsageAndReserve(node, gpuInstance) + if instanceUsage == nil { + return 0, fmt.Errorf("instance %s not found", gpuInstance) + } + gpuCoreScore := float32(0) + gpuMemScore := float32(0) + var gpu_core_w, gpu_mem_w float32 + switch node.Model { + case config.V100: + // gpuCoreScore += v100_gpu_util_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.V100.GpuUtilAvg, instanceUsage.GpuUtilAvg) + // // gpuCoreScore += v100_gpu_util_std_a * gpuCoreStdFunc(analyzeResult.End2End.V100.GpuUtilStd, instanceUsage.GpuUtilStd) + // gpuCoreScore += v100_sm_active_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.V100.SmActiveAvg, instanceUsage.SmActiveAvg) + // // gpuCoreScore += v100_sm_active_std_a * gpuCoreStdFunc(analyzeResult.End2End.V100.SmActiveStd, instanceUsage.SmActiveStd) + // gpuCoreScore += v100_sm_occupied_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.V100.SmOccupiedAvg, instanceUsage.SmOccupiedAvg) + // gpuCoreScore += v100_sm_occupied_std_a * gpuCoreStdFunc(analyzeResult.End2End.V100.SmOccupiedStd, instanceUsage.SmOccupiedStd) + gpuCoreScore += v100_dram_copy_avg_a * gpuCoreAvgDramFunc(analyzeResult.End2End.V100.DramActiveAvg, instanceUsage.DramActiveAvg) + // gpuCoreScore += v100_dram_copy_std_a * gpuCoreStdFunc(analyzeResult.End2End.V100.DramActiveStd, instanceUsage.DramActiveStd) + gpuCoreScore += v100_fp32_active_avg_a * gpuCoreAvgFp32Func(analyzeResult.End2End.V100.Fp32ActiveAvg, instanceUsage.Fp32ActiveAvg) + // gpuCoreScore += v100_fp32_active_std_a * gpuCoreStdFunc(analyzeResult.End2End.V100.Fp32ActiveStd, instanceUsage.Fp32ActiveStd) + + gpuMemScore += (analyzeResult.End2End.V100.MemUsage + instanceUsage.MemUsage) / float32(node.GpuMem) + + gpu_core_w = v100_gpu_core_w + gpu_mem_w = v100_gpu_mem_w + case config.P100: + gpuCoreScore += p100_gpu_util_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.P100.GpuUtilAvg, instanceUsage.GpuUtilAvg) + // gpuCoreScore += p100_gpu_util_std_a * gpuCoreStdFunc(analyzeResult.End2End.P100.GpuUtilStd, instanceUsage.GpuUtilStd) + + gpuMemScore += (analyzeResult.End2End.P100.MemUsage + instanceUsage.MemUsage) / float32(node.GpuMem) + + gpu_core_w = p100_gpu_core_w + gpu_mem_w = p100_gpu_mem_w + case config.TITAN: + gpuCoreScore += titan_gpu_util_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.TITAN.GpuUtilAvg, instanceUsage.GpuUtilAvg) + // gpuCoreScore += titan_gpu_util_std_a * gpuCoreStdFunc(analyzeResult.End2End.TITAN.GpuUtilStd, instanceUsage.GpuUtilStd) + + gpuMemScore += (analyzeResult.End2End.TITAN.MemUsage + instanceUsage.MemUsage) / float32(node.GpuMem) + + gpu_core_w = titan_gpu_core_w + gpu_mem_w = titan_gpu_mem_w + case config.C2080Ti: + gpuCoreScore += c2080ti_gpu_util_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.Ti2080.GpuUtilAvg, instanceUsage.GpuUtilAvg) + // gpuCoreScore += c2080ti_gpu_util_std_a * gpuCoreStdFunc(analyzeResult.End2End.Ti2080.GpuUtilStd, instanceUsage.GpuUtilStd) + + gpuMemScore += (analyzeResult.End2End.Ti2080.MemUsage + instanceUsage.MemUsage) / float32(node.GpuMem) + + gpu_core_w = c2080ti_gpu_core_w + gpu_mem_w = c2080ti_gpu_mem_w + } + gpuMemScore *= gpu_mem_w + return int64(multi * gpu_core_w * gpuCoreScore), nil +} + +func HorusScore(ctx context.Context, taskInfo *models.TaskInfo, analyzeResult *models.TaskResourceAnalyzeResult, gpuInstance string, node *config.Node) (int64, error) { + instanceUsage := gpu.GetGPUResourceUsageAndReserve(node, gpuInstance) + if instanceUsage == nil { + return 0, fmt.Errorf("instance %s not found", gpuInstance) + } + gpuCoreScore := float32(0) + gpuMemScore := float32(0) + var gpu_core_w float32 + + gpuCoreScore += v100_gpu_util_avg_a * gpuCoreAvgFunc(analyzeResult.End2End.V100.GpuUtilAvg, instanceUsage.GpuUtilAvg) + + gpuMemScore += (analyzeResult.End2End.V100.MemUsage + instanceUsage.MemUsage) / float32(node.GpuMem) + + gpu_core_w = p100_gpu_core_w + + return int64(multi * (gpu_core_w * gpuCoreScore)), nil +} + +func gpuCoreAvgFunc(request, used float32) float32 { + // TODO + return float32(math.Pow(e, float64(request+used-100)/10)) +} + +func gpuCoreAvgFp32Func(request, used float32) float32 { + // TODO + return float32(math.Pow(e, float64(request+used-30)/3)) +} + +func gpuCoreAvgDramFunc(request, used float32) float32 { + // TODO + return float32(math.Pow(e, float64(request+used-60)/6)) +} + +func gpuCoreStdFunc(request, used float32) float32 { + // TODO + return (request - used) * (request - used) +} diff --git a/scheduler/pkg/utils/http.go b/scheduler/pkg/utils/http.go new file mode 100644 index 0000000000000000000000000000000000000000..3b187861ecdd7f264ed99e3be301617ca31203c2 --- /dev/null +++ b/scheduler/pkg/utils/http.go @@ -0,0 +1,107 @@ +package utils + +import ( + "bytes" + "context" + "encoding/json" + "fmt" + "io/ioutil" + "net/http" +) + +func Get(ctx context.Context, host, path string, header, params map[string]string) ([]byte, error) { + url := fmt.Sprintf("%s%s?", host, path) + for k, v := range params { + url = fmt.Sprintf("%s%s=%s&", url, k, v) + } + + httpReq, err := http.NewRequest(http.MethodGet, url, nil) + if err != nil { + LogErr("get failed, new request failed, err:%v", err) + return nil, err + } + + for k, v := range header { + httpReq.Header.Add(k, v) + } + + httpResp, err := http.DefaultClient.Do(httpReq) + if err != nil { + LogErr("get failed, do request failed, err:%v", err) + return nil, err + } + + respBody, err := ioutil.ReadAll(httpResp.Body) + if err != nil { + LogErr("get read body failed, err:%v", err) + return nil, err + } + + if httpResp.StatusCode != http.StatusOK { + LogErr("get failed, status code not ok, code:%v, url:%s body: %s", httpResp.StatusCode, httpReq.URL.String(), string(respBody)) + return nil, fmt.Errorf("status code not ok, code:%v, url:%s, body: %s", httpResp.StatusCode, httpReq.URL.String(), string(respBody)) + } + + //LogInfo("get success, url:%s", url) + + return respBody, nil +} + +func GetJson(ctx context.Context, host, path string, header, params map[string]string, resp interface{}) (err error) { + respBody, err := Get(ctx, host, path, header, params) + if err != nil { + return err + } + + if err = json.Unmarshal(respBody, resp); err != nil { + LogErr("get unmarshal resp failed, err:%v", err) + return err + } + + return nil +} + +func PostJson(ctx context.Context, host, path string, body interface{}, header map[string]string, resp interface{}) (err error) { + url := fmt.Sprintf("%s%s", host, path) + + bodyBytes, err := json.Marshal(body) + if err != nil { + LogErr("post failed, marshal body failed, err:%v", err) + return err + } + + httpReq, err := http.NewRequest(http.MethodPost, url, bytes.NewReader(bodyBytes)) + if err != nil { + LogErr("post failed, new request failed, err:%v", err) + return err + } + + httpReq.Header.Add("Content-Type", "application/json") + for k, v := range header { + httpReq.Header.Add(k, v) + } + + httpResp, err := http.DefaultClient.Do(httpReq) + if err != nil { + LogErr("post failed, do request failed, err:%v", err) + return err + } + + respBody, err := ioutil.ReadAll(httpResp.Body) + if err != nil { + LogErr("post read body failed, err:%v", err) + return err + } + + if httpResp.StatusCode != http.StatusOK { + LogErr("post failed, status code not ok, code:%v, body: %s", httpResp.StatusCode, string(respBody)) + return fmt.Errorf("status code not ok") + } + + if err = json.Unmarshal(respBody, resp); err != nil { + LogErr("post unmarshal resp failed, err:%v", err) + return err + } + + return nil +} diff --git a/scheduler/pkg/utils/http_test.go b/scheduler/pkg/utils/http_test.go new file mode 100644 index 0000000000000000000000000000000000000000..1cfce6939ea0210d31a7f33c50f4f79778682e43 --- /dev/null +++ b/scheduler/pkg/utils/http_test.go @@ -0,0 +1,30 @@ +package utils + +import ( + "context" + "kube-gpu/scheduler/v2/pkg/models" + "testing" + + "github.com/stretchr/testify/assert" +) + +func TestGetJson(t *testing.T) { + host := "http://192.168.5.60:31110" + path := "/api/v1/query" + params := map[string]string{ + "query": "DCGM_FI_DEV_GPU_UTIL", + } + resp := &models.PrometheusQueryBaseResponse{} + ctx := context.Background() + assert.Nil(t, GetJson(ctx, host, path, nil, params, resp)) + assert.Equal(t, "success", resp.Status) + assert.Equal(t, "vector", resp.Data.ResultType) + assert.Greater(t, len(resp.Data.Result), 0) + for _, result := range resp.Data.Result { + assert.Len(t, result.Value, 2) + _, ok := result.Value[0].(float64) + assert.True(t, ok) + _, ok = result.Value[1].(string) + assert.True(t, ok) + } +} diff --git a/scheduler/pkg/utils/utils.go b/scheduler/pkg/utils/utils.go new file mode 100644 index 0000000000000000000000000000000000000000..01c155e600a19a9a516678cee60d360b4f20315f --- /dev/null +++ b/scheduler/pkg/utils/utils.go @@ -0,0 +1,33 @@ +package utils + +import ( + "fmt" + + "k8s.io/klog/v2" +) + +func LogErr(format string, v ...interface{}) { + klog.Error(fmt.Sprintf("[KubeGpuSparse Error]"+format, v...)) +} + +func LogInfo(format string, v ...interface{}) { + klog.V(4).Info(fmt.Sprintf("[KubeGpuSparse Info]"+format, v...)) +} + +func LogWarn(format string, v ...interface{}) { + klog.Warning(fmt.Sprintf("[KubeGpuSparse Warn]"+format, v...)) +} + +func MaxInt64(a, b int64) int64 { + if a > b { + return a + } + return b +} + +func MaxFloat32(a, b float32) float32 { + if a > b { + return a + } + return b +} diff --git a/scheduler/scheduler b/scheduler/scheduler new file mode 100755 index 0000000000000000000000000000000000000000..82cc791e3623af5c27a432bb52beaf8a80f99ef0 Binary files /dev/null and b/scheduler/scheduler differ diff --git a/scheduler/scheduling-framework-extensions.png b/scheduler/scheduling-framework-extensions.png new file mode 100644 index 0000000000000000000000000000000000000000..43fe0f233e133beb68737eb4b8a70a26c7b16554 Binary files /dev/null and b/scheduler/scheduling-framework-extensions.png differ diff --git a/scheduler/yaml/kube-gpu-sparse-scheduler.yaml b/scheduler/yaml/kube-gpu-sparse-scheduler.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3d028c485b50aecd3d0b0ae7cdf24550aad5276c --- /dev/null +++ b/scheduler/yaml/kube-gpu-sparse-scheduler.yaml @@ -0,0 +1,274 @@ +apiVersion: v1 +kind: ServiceAccount +metadata: + name: kube-gpu-sparse-scheduler + namespace: kube-gpu-sparse +--- +kind: ClusterRole +apiVersion: rbac.authorization.k8s.io/v1 +metadata: + name: kube-gpu-sparse-scheduler-clusterrole +rules: + - apiGroups: + - "*" + resources: + - "*" + verbs: + - "*" + - apiGroups: + - apps + - extensions + resources: + - "*" + verbs: + - "*" + - apiGroups: + - policy + resources: + - poddisruptionbudgets + verbs: + - get + - list + - watch + - apiGroups: + - "storage.k8s.io" + resources: + - "*" + verbs: + - "*" + - apiGroups: + - "coordination.k8s.io" + resources: + - leases + verbs: + - create + - get + - list + - update + - apiGroups: + - "events.k8s.io" + resources: + - "*" + verbs: + - "*" +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: kube-gpu-sparse-scheduler-role +subjects: + - kind: ServiceAccount + name: kube-gpu-sparse-scheduler + namespace: kube-gpu-sparse +roleRef: + kind: ClusterRole + name: system:kube-scheduler + apiGroup: rbac.authorization.k8s.io +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: kube-gpu-sparse-scheduler-clusterrole +subjects: + - kind: ServiceAccount + name: kube-gpu-sparse-scheduler + namespace: kube-gpu-sparse +roleRef: + kind: ClusterRole + name: kube-gpu-sparse-scheduler-clusterrole + apiGroup: rbac.authorization.k8s.io +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: kube-gpu-sparse-scheduler-config + namespace: kube-gpu-sparse +data: + kube-gpu-sparse-scheduler-config.yaml: | + apiVersion: kubescheduler.config.k8s.io/v1beta1 + kind: KubeSchedulerConfiguration + leaderElection: + leaderElect: false + profiles: + - schedulerName: kube-gpu-sparse-scheduler + plugins: + queueSort: + disabled: + - name: PrioritySort + - name: Horus + enabled: + - name: KubeGpuSparse + preFilter: + disabled: + - name: Horus + enabled: + - name: KubeGpuSparse + filter: + disabled: + - name: Horus + enabled: + - name: KubeGpuSparse + score: + disabled: + - name: NodeResourcesBalancedAllocation + - name: NodeAffinity + - name: InterPodAffinity + - name: NodeResourcesFit + - name: ImageLocality + - name: Horus + enabled: + - name: KubeGpuSparse + weight: 100 + - name: KubeGpuSparseLatency + weight: 20 + reserve: + disabled: + - name: Horus + enabled: + - name: KubeGpuSparse + preBind: + disabled: + - name: Horus + enabled: + - name: KubeGpuSparse +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: kube-gpu-sparse-scheduler-kubeconfig + namespace: kube-gpu-sparse +data: + kubeconfig.yaml: | + apiVersion: v1 + kind: Config + clusters: + - name: kube-gpu-sparse-scheduler + cluster: + certificate-authority-data: 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 + server: https://192.168.5.60:6443 + contexts: + - name: kube-gpu-sparse-scheduler + context: + cluster: kube-gpu-sparse-scheduler + user: kube-gpu-sparse-scheduler + current-context: kube-gpu-sparse-scheduler + users: + - name: kube-gpu-sparse-scheduler + user: + token: eyJhbGciOiJSUzI1NiIsImtpZCI6InZVLWJWM1ZsM1ZiUHljMVpFbC1sUGZPMVk3SkNBV3E3bUFXYjZtb2p1c3cifQ.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.Nj1LylSdP82iyW-lE6VpMpO9FjPV7pENtem6RsBAPb6WQnem-B5oRFjY2iVd5G8YPpgbpxITre33kqSUynsbP9aHqQeOZmDzfVWNGwW1RjiNNisAnmokA_MvXadHSL5uPhXJj9pSRW5we8roDwuyLTcjyboFjxKqDrLoEZchIKHYxFlrThi9EsPho7sbmvM39diY-oNoTeh2HIsfAB5CZA9K6-Jb0NeLL5F7-s7IK6ic25hPS8dQET0sv2eFqrLP75Z9M31B43_EguJSozrCsjHvPTakVwMMehV3SOi4aRSvx_9vT30ev58v0T1_sA_EqBrZzTMNNh-x2OxeeKyGdQ +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: kube-gpu-sparse-scheduler-volume-role +subjects: + - kind: ServiceAccount + name: kube-gpu-sparse-scheduler + namespace: kube-gpu-sparse +roleRef: + kind: ClusterRole + name: system:volume-scheduler + apiGroup: rbac.authorization.k8s.io +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + component: scheduler + tier: control-plane + name: kube-gpu-sparse-scheduler + namespace: kube-gpu-sparse +spec: + selector: + matchLabels: + component: scheduler + tier: control-plane + replicas: 1 + template: + metadata: + labels: + component: scheduler + tier: control-plane + version: second + kube-gpu-sparse: scheduler + spec: + affinity: + nodeAffinity: + preferredDuringSchedulingIgnoredDuringExecution: + - weight: 1 + preference: + matchExpressions: + - key: service-deploy + operator: In + values: + - "true" + serviceAccount: kube-gpu-sparse-scheduler + containers: + - command: + - /usr/local/bin/kube-scheduler + - --config=/etc/kubernetes/config/kube-gpu-sparse-scheduler-config.yaml + - --v=4 + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/scheduler:v0.48.0 + name: kube-gpu-sparse-scheduler + resources: + requests: + cpu: "0.1" + securityContext: + privileged: false + volumeMounts: + - name: config-volume + mountPath: /etc/kubernetes/config + - name: kubeconfig + mountPath: /etc/kubernetes/kubeconfig + - name: node-conf + mountPath: /etc/kubernetes/node-conf + hostNetwork: false + hostPID: false + volumes: + - name: config-volume + configMap: + name: kube-gpu-sparse-scheduler-config + - name: kubeconfig + configMap: + name: kube-gpu-sparse-scheduler-kubeconfig + - name: node-conf + configMap: + name: kube-gpu-sparse-scheduler-node-conf +--- +apiVersion: v1 +kind: Service +metadata: + name: scheduler-debug-server-svc + namespace: kube-gpu-sparse + labels: + kube.gpu.sparse: scheduler +spec: + selector: + kube-gpu-sparse: scheduler + type: NodePort + ports: + - name: monitor + protocol: TCP + port: 80 + targetPort: 6666 + nodePort: 30666 +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: + kube-gpu-sparse: scheduler + name: kube-sparse-scheduler-monitor + namespace: monitoring +spec: + endpoints: + - interval: 5s + path: /metrics + port: monitor + scheme: http + namespaceSelector: + matchNames: + - kube-gpu-sparse + selector: + matchLabels: + kube.gpu.sparse: scheduler diff --git a/scheduler/yaml/node-conf.yaml b/scheduler/yaml/node-conf.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5eceabf73ab9d686b95c11fe1daae3f791f5a2db --- /dev/null +++ b/scheduler/yaml/node-conf.yaml @@ -0,0 +1,37 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + name: kube-gpu-sparse-scheduler-node-conf + namespace: kube-gpu-sparse +data: + config.yaml: | + prometheus: + host: 192.168.5.78:31110 + nodes: + - name: dell-64 + ip: 192.168.5.64 + gpu: 2 + gpu-mem: 12 # 12G + model: P100 + uuids: ["GPU-dd41b996-e5a4-0795-b048-18843bec604b", "GPU-f8525b10-e569-e1c9-1f68-ee2d4b9392ac"] + network: eno1 + network_bandwidth_bytes: 1024000 + region: A + - name: dell-65 + ip: 192.168.5.65 + gpu: 4 + gpu-mem: 32 # 32G + model: V100 + uuids: ["GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1", "GPU-01707108-c8af-0c59-683e-245462fe241b", "GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d", "GPU-60f7bcda-4431-1320-0928-f3271e24c8e7"] + network: bond0 + network_bandwidth_bytes: 20480000 + region: B + - name: dell-66 + ip: 192.168.5.66 + gpu: 4 + gpu-mem: 32 # 32G + model: V100 + uuids: ["GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a", "GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc", "GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b", "GPU-1855988a-54ca-41c3-c62b-9d1996471e21"] + network: bond0 + network_bandwidth_bytes: 20480000 + region: B diff --git a/scheduler/yaml/queryUUID.go b/scheduler/yaml/queryUUID.go new file mode 100644 index 0000000000000000000000000000000000000000..fa58b31ea8063f14e0ff01deb3cbb818f872ed32 --- /dev/null +++ b/scheduler/yaml/queryUUID.go @@ -0,0 +1,169 @@ +package main + +import ( + "encoding/json" + "fmt" + "io" + "log" + "net/http" + "os" + "time" + + "gopkg.in/yaml.v2" +) + +type NodeConfig struct { + Prometheus struct { + Host string `yaml:"host"` + } `yaml:"prometheus"` + Nodes []struct { + Name string `yaml:"name"` + IP string `yaml:"ip"` + GPU int `yaml:"gpu"` + GPUMem int `yaml:"gpu-mem"` + Model string `yaml:"model"` + UUIDs []string `yaml:"uuids"` + Network string `yaml:"network"` + NetworkBandwidthBytes int `yaml:"network_bandwidth_bytes"` + Region string `yaml:"region"` + } `yaml:"nodes"` +} + +type PrometheusResponse struct { + Status string `json:"status"` + Data struct { + ResultType string `json:"resultType"` + Result []struct { + Metric struct { + UUID string `json:"uuid"` + Instance string `json:"instance"` + Name string `json:"name"` + } `json:"metric"` + Value []interface{} `json:"value"` + } `json:"result"` + } `json:"data"` +} + +func main() { + // Load config file + configPath := "/home/wanggz/kube-gpu-scheduler/scheduler/yaml/node-conf-testcluster.yaml" + yamlFile, err := os.ReadFile(configPath) + if err != nil { + log.Fatalf("Error reading config file: %v", err) + } + + // Parse the ConfigMap + var cm struct { + Data struct { + Config string `yaml:"config.yaml"` + } `yaml:"data"` + } + + err = yaml.Unmarshal(yamlFile, &cm) + if err != nil { + log.Fatalf("Error parsing ConfigMap: %v", err) + } + + // Parse the actual config + var config NodeConfig + err = yaml.Unmarshal([]byte(cm.Data.Config), &config) + if err != nil { + log.Fatalf("Error parsing config: %v", err) + } + + prometheusHost := config.Prometheus.Host + if prometheusHost == "" { + log.Fatalf("Prometheus host not found in config") + } + + // Query Prometheus for DCGM GPU metrics which include UUID information + query := "DCGM_FI_DEV_GPU_UTIL" + gpuUUIDs := make(map[string][]string) + + promURL := fmt.Sprintf("https://%s/api/v1/query", prometheusHost) + req, err := http.NewRequest("GET", promURL, nil) + if err != nil { + log.Fatalf("Error creating request: %v", err) + } + + q := req.URL.Query() + q.Add("query", query) + req.URL.RawQuery = q.Encode() + + client := &http.Client{Timeout: 10 * time.Second} + resp, err := client.Do(req) + if err != nil { + log.Fatalf("Error querying Prometheus: %v", err) + } + defer resp.Body.Close() + + body, err := io.ReadAll(resp.Body) + if err != nil { + log.Fatalf("Error reading response: %v", err) + } + + var promResponse PrometheusResponse + err = json.Unmarshal(body, &promResponse) + if err != nil { + log.Fatalf("Error parsing response: %v", err) + } + + // Process results + fmt.Println("GPU UUIDs by Node:") + fmt.Println("==================") + + for _, result := range promResponse.Data.Result { + instance := result.Metric.Instance + uuid := result.Metric.UUID + + if uuid != "" { + if _, exists := gpuUUIDs[instance]; !exists { + gpuUUIDs[instance] = []string{} + } + + // Check if UUID is already in the list + found := false + for _, existingUUID := range gpuUUIDs[instance] { + if existingUUID == uuid { + found = true + break + } + } + + if !found { + gpuUUIDs[instance] = append(gpuUUIDs[instance], uuid) + } + } + } + + // Print results + for instance, uuids := range gpuUUIDs { + fmt.Printf("Node: %s\n", instance) + for i, uuid := range uuids { + fmt.Printf(" GPU %d: %s\n", i, uuid) + } + fmt.Println() + } + + // Compare with config + fmt.Println("Comparison with configuration:") + fmt.Println("==============================") + + for _, node := range config.Nodes { + fmt.Printf("Node: %s (IP: %s)\n", node.Name, node.IP) + fmt.Printf(" Config UUIDs: %v\n", node.UUIDs) + + // Find matching instance in Prometheus data + if gpuUUIDs[node.IP] == nil && gpuUUIDs[node.Name] == nil { + fmt.Println(" No matching instance found in Prometheus data") + continue + } + if gpuUUIDs[node.IP] != nil { + node.UUIDs = gpuUUIDs[node.IP] + fmt.Printf(" Prometheus UUIDs: %v\n", gpuUUIDs[node.IP]) + } else { + node.UUIDs = gpuUUIDs[node.IP] + fmt.Printf(" Prometheus UUIDs: %v\n", gpuUUIDs[node.Name]) + } + } +} diff --git a/test/README.md b/test/README.md new file mode 100644 index 0000000000000000000000000000000000000000..4e82d875140a011fca382a635ec4ce57ddece434 --- /dev/null +++ b/test/README.md @@ -0,0 +1,48 @@ +# 实验脚本 + +每次实验前，需要先将上一个实验涉及的recommenddljob清除，避免冲突 + +## final_exp1 + +对应论文实验章节对研究点二的集中提交场景对比实验，分为高负载实验与低负载实验，分别对应high与low文件夹 + +高负载： +- bert +- deepfm +低负载： +- resnet +- deepfm + +每个目录： +- best：对应论文算法，使用`bash start.sh`运行 +- horus：对应hrus算法，使用`bash start.sh`运行 +- default：对应k8s默认共享，使用`bash start.sh`运行 +- single：对应k8s默认独占算法 + +## final_exp2（不要管） + +实验脚本已废弃 + +对应非端到端实验 + +## final_exp3 + +对应论文实验章节对研究点三的对比实验 + +每个目录 +- cache：对应论文开启亲和性调度策略、缓存优化后的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- latency：对应论文开启亲和性调度策略的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- sparse：对应论文不开启亲和性调度策略的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- horus：对应horus算法的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- shared：对应k8s默认共享算法的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` + +## final_exp4 + +对应论文实验章节对研究点二的持续提交场景实验 + +每个目录 +- sparse：对应论文算法，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- horus：对应horus算法的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- shared：对应k8s默认共享算法的实验，先`kubectl apply -f embedding.yaml`后再`bash start.sh` +- single：对应k8s默认独占算法，先`kubectl apply -f embedding.yaml`后再`bash start.sh` + diff --git a/test/benchmark/Dockerfile b/test/benchmark/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..dddb03021dd90112387b00394dcbd36e2b4266ad --- /dev/null +++ b/test/benchmark/Dockerfile @@ -0,0 +1,9 @@ +FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel + +RUN apt update && apt install -y openssh-server + +RUN echo "PermitRootLogin yes" >> /etc/ssh/sshd_config + +RUN echo "root:lipeixi123" | chpasswd + +CMD ["sh","-c","service ssh start; sleep infinity"] \ No newline at end of file diff --git a/test/benchmark/bert/Dockerfile b/test/benchmark/bert/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..3e4d8c9ecb37455e9df9ca01ad2dbe596d5a2190 --- /dev/null +++ b/test/benchmark/bert/Dockerfile @@ -0,0 +1,5 @@ +FROM pytorch/pytorch:latest + +RUN pip install scikit-learn datasets transformers evaluate thop -i https://pypi.tuna.tsinghua.edu.cn/simple some-package + +RUN pip install accelerate -U -i https://pypi.tuna.tsinghua.edu.cn/simple some-package \ No newline at end of file diff --git a/test/benchmark/bert/deployment-bert.yaml b/test/benchmark/bert/deployment-bert.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8bdcafec25a3e16a28adba738b793ac92d66ecd1 --- /dev/null +++ b/test/benchmark/bert/deployment-bert.yaml @@ -0,0 +1,151 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-bert + namespace: user-lpx + labels: + app: deployment-bert +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-bert + template: + metadata: + labels: + app: deployment-bert + spec: + containers: + - name: bert + image: pytorch/pytorch:latest + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-bert-1 + namespace: user-lpx + labels: + app: deployment-bert-1 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-bert-1 + template: + metadata: + labels: + app: deployment-bert-1 + spec: + containers: + - name: bert + image: pytorch/pytorch:latest + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-bert-2 + namespace: user-lpx + labels: + app: deployment-bert-2 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-bert-2 + template: + metadata: + labels: + app: deployment-bert-2 + spec: + containers: + - name: bert + image: pytorch/pytorch:latest + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-bert-3 + namespace: user-lpx + labels: + app: deployment-bert-3 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-bert-3 + template: + metadata: + labels: + app: deployment-bert-3 + spec: + containers: + - name: bert + image: pytorch/pytorch:latest + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/benchmark/deepctr/Dockerfile b/test/benchmark/deepctr/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..f5ed84e2df55d23b2de23ca64b123420009df7a5 --- /dev/null +++ b/test/benchmark/deepctr/Dockerfile @@ -0,0 +1,3 @@ +FROM pytorch/pytorch:latest + +RUN pip install scikit-learn pandas tensorflow thop numpy -i https://pypi.tuna.tsinghua.edu.cn/simple some-package \ No newline at end of file diff --git a/test/benchmark/deepctr/deployment.yaml b/test/benchmark/deepctr/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..282e90efe228dc5b473ad65fea421fdace88a52a --- /dev/null +++ b/test/benchmark/deepctr/deployment.yaml @@ -0,0 +1,151 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-deepctr-0 + namespace: user-lpx + labels: + app: deployment-deepctr-0 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-deepctr-0 + template: + metadata: + labels: + app: deployment-deepctr-0 + spec: + containers: + - name: yolov5 + image: pxllpx/deepctr:v2 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-deepctr-1 + namespace: user-lpx + labels: + app: deployment-deepctr-1 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-deepctr-1 + template: + metadata: + labels: + app: deployment-deepctr-1 + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v2 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-deepctr-2 + namespace: user-lpx + labels: + app: deployment-deepctr-2 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-deepctr-2 + template: + metadata: + labels: + app: deployment-deepctr-2 + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v2 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-deepctr-3 + namespace: user-lpx + labels: + app: deployment-deepctr-3 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-deepctr-3 + template: + metadata: + labels: + app: deployment-deepctr-3 + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v2 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/benchmark/deployment.yaml b/test/benchmark/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9f350fd4258d2e7434146d6b8f83fb2241eb7f15 --- /dev/null +++ b/test/benchmark/deployment.yaml @@ -0,0 +1,37 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-benchmark + namespace: user-lpx + labels: + app: dl-train +spec: + replicas: 1 + selector: + matchLabels: + app: dl-train + template: + metadata: + labels: + app: dl-train + spec: + restartPolicy: Always + containers: + - name: ubuntu + image: pxllpx/pytorch-benchmark:v2 + imagePullPolicy: IfNotPresent + volumeMounts: + - mountPath: /data + name: dl-train + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + ports: + - containerPort: 22 + command: ["sh", "-c", "sleep infinity"] + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/benchmark/pod.yaml b/test/benchmark/pod.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dba82b1c03f50f325b56427642fbfbc6466ab1e8 --- /dev/null +++ b/test/benchmark/pod.yaml @@ -0,0 +1,17 @@ +apiVersion: v1 +kind: Pod +metadata: + name: pod-for-dl-train + namespace: user-lpx + labels: + app: dl-train +spec: + restartPolicy: Always + containers: + - name: ubuntu + image: ubuntu:22.04 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 8080 + hostPort: 30033 + command: ["sh", "-c", "sleep infinity"] diff --git a/test/benchmark/pvc-test.yaml b/test/benchmark/pvc-test.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a68ee848580f668765c07fac3cc6ccf666d0f15f --- /dev/null +++ b/test/benchmark/pvc-test.yaml @@ -0,0 +1,14 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: lpx-train-data-stole + namespace: user-lpx +spec: + accessModes: + - ReadWriteMany + resources: + requests: + storage: 400Gi + dataSource: + name: lpx-train-data + kind: PersistentVolumeClaim \ No newline at end of file diff --git a/test/benchmark/pvc.yaml b/test/benchmark/pvc.yaml new file mode 100644 index 0000000000000000000000000000000000000000..143513a5e8730d39a448266ce0efe13b4078944b --- /dev/null +++ b/test/benchmark/pvc.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: lpx-train-data + namespace: user-lpx +spec: + accessModes: + - ReadWriteMany + storageClassName: "rook-cephfs" + resources: + requests: + storage: 400Gi \ No newline at end of file diff --git a/test/benchmark/service.yaml b/test/benchmark/service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f73c5f39faef0b1857414ad86b25b5dfa710c967 --- /dev/null +++ b/test/benchmark/service.yaml @@ -0,0 +1,15 @@ +apiVersion: v1 +kind: Service +metadata: + name: bench-svc + namespace: user-lpx +spec: + selector: + app: dl-train + type: NodePort + ports: + - protocol: TCP + port: 22 + targetPort: 22 + nodePort: 30021 + \ No newline at end of file diff --git a/test/benchmark/yolo/Arial.ttf b/test/benchmark/yolo/Arial.ttf new file mode 100644 index 0000000000000000000000000000000000000000..ab68fb197d4479b3b6dec6e85bd5cbaf433a87c5 Binary files /dev/null and b/test/benchmark/yolo/Arial.ttf differ diff --git a/test/benchmark/yolo/Dockerfile b/test/benchmark/yolo/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..efd8a086b2cd023242e92d8f96ed692b92fcf438 --- /dev/null +++ b/test/benchmark/yolo/Dockerfile @@ -0,0 +1,13 @@ +FROM pytorch/pytorch:latest + +WORKDIR / + +COPY requirements.txt . + +RUN pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple some-package + +RUN apt update && apt install -y git + +RUN pip install ultralytics==8.0.100 opencv-python-headless -i https://pypi.tuna.tsinghua.edu.cn/simple some-package + +COPY Arial.ttf /root/.config/Ultralytics/Arial.ttf diff --git a/test/benchmark/yolo/deployment-yolo.yaml b/test/benchmark/yolo/deployment-yolo.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1bd0a7fa79fcb5fc981609f7012294a47eedf736 --- /dev/null +++ b/test/benchmark/yolo/deployment-yolo.yaml @@ -0,0 +1,219 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-yolo-0 + namespace: user-lpx + labels: + app: deployment-yolo-0 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-yolo-0 + template: + metadata: + labels: + app: deployment-yolo-0 + spec: + containers: + - name: yolov5 + image: pxllpx/yolov5:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-yolo-1 + namespace: user-lpx + labels: + app: deployment-yolo-1 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-yolo-1 + template: + metadata: + labels: + app: deployment-yolo-1 + spec: + containers: + - name: yolov5 + image: pxllpx/yolov5:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-yolo-2 + namespace: user-lpx + labels: + app: deployment-yolo-2 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-yolo-2 + template: + metadata: + labels: + app: deployment-yolo-2 + spec: + containers: + - name: yolov5 + image: pxllpx/yolov5:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-yolo-3 + namespace: user-lpx + labels: + app: deployment-yolo-3 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-yolo-3 + template: + metadata: + labels: + app: deployment-yolo-3 + spec: + containers: + - name: yolov5 + image: pxllpx/yolov5:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-yolo-4 + namespace: user-lpx + labels: + app: deployment-yolo-4 +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-yolo-4 + template: + metadata: + labels: + app: deployment-yolo-4 + spec: + containers: + - name: yolov5 + image: pxllpx/yolov5:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/benchmark/yolo/requirements.txt b/test/benchmark/yolo/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f6b1f4138a52acff63311205eb291b933f6b32b --- /dev/null +++ b/test/benchmark/yolo/requirements.txt @@ -0,0 +1,49 @@ +# YOLOv5 requirements +# Usage: pip install -r requirements.txt + +# Base ------------------------------------------------------------------------ +gitpython>=3.1.30 +matplotlib>=3.3 +numpy>=1.18.5 +opencv-python>=4.1.1 +Pillow>=7.1.2 +psutil # system resources +PyYAML>=5.3.1 +requests>=2.23.0 +scipy>=1.4.1 +thop>=0.1.1 # FLOPs computation +torch>=1.7.0 # see https://pytorch.org/get-started/locally (recommended) +torchvision>=0.8.1 +tqdm>=4.64.0 +ultralytics>=8.0.111 +# protobuf<=3.20.1 # https://github.com/ultralytics/yolov5/issues/8012 + +# Logging --------------------------------------------------------------------- +# tensorboard>=2.4.1 +# clearml>=1.2.0 +# comet + +# Plotting -------------------------------------------------------------------- +pandas>=1.1.4 +seaborn>=0.11.0 + +# Export ---------------------------------------------------------------------- +# coremltools>=6.0 # CoreML export +# onnx>=1.10.0 # ONNX export +# onnx-simplifier>=0.4.1 # ONNX simplifier +# nvidia-pyindex # TensorRT export +# nvidia-tensorrt # TensorRT export +# scikit-learn<=1.1.2 # CoreML quantization +# tensorflow>=2.4.0 # TF exports (-cpu, -aarch64, -macos) +# tensorflowjs>=3.9.0 # TF.js export +# openvino-dev # OpenVINO export + +# Deploy ---------------------------------------------------------------------- +setuptools>=65.5.1 # Snyk vulnerability fix +# tritonclient[all]~=2.24.0 + +# Extras ---------------------------------------------------------------------- +# ipython # interactive notebook +# mss # screenshots +# albumentations>=1.0.3 +# pycocotools>=2.0.6 # COCO mAP \ No newline at end of file diff --git a/test/deploy/deployment-bert.yaml b/test/deploy/deployment-bert.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0e1b229c36c014171058fd7d1f63a72e843b5869 --- /dev/null +++ b/test/deploy/deployment-bert.yaml @@ -0,0 +1,30 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-bert + namespace: user-lpx + labels: + app: deployment-bert +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-bert + template: + metadata: + labels: + app: deployment-bert + spec: + containers: + - name: bert + image: pxllpx/bert:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + nodeSelector: + kubernetes.io/hostname: scse-dell-05 \ No newline at end of file diff --git a/test/deploy/deployment-for-test.yaml b/test/deploy/deployment-for-test.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8e91b011fdac30a02f84bb3e7384b4a6f7734fe8 --- /dev/null +++ b/test/deploy/deployment-for-test.yaml @@ -0,0 +1,21 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-for-test + namespace: user-lpx + labels: + app: deployment-for-test +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-for-test + template: + metadata: + labels: + app: deployment-for-test + spec: + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent \ No newline at end of file diff --git a/test/deploy/deployment-yolo.yaml b/test/deploy/deployment-yolo.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5d265d25da35129bd119338863a1421ce89b98e5 --- /dev/null +++ b/test/deploy/deployment-yolo.yaml @@ -0,0 +1,39 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: deployment-yolo + namespace: user-lpx + labels: + app: deployment-yolo +spec: + replicas: 1 + selector: + matchLabels: + app: deployment-yolo + template: + metadata: + labels: + app: deployment-yolo + spec: + containers: + - name: bert + image: pxllpx/yolov5:v1 + imagePullPolicy: IfNotPresent + command: ["sh", "-c", "sleep infinity"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /dev/shm + name: cache-volume + volumes: + - emptyDir: + medium: Memory + sizeLimit: 15Gi + name: cache-volume + nodeSelector: + kubernetes.io/hostname: scse-dell-05 + diff --git a/test/deploy/dljob.yaml b/test/deploy/dljob.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1c270438f75c0870b12568911bd878b06756c729 --- /dev/null +++ b/test/deploy/dljob.yaml @@ -0,0 +1,32 @@ +apiVersion: apps/v1 +kind: SparseDLJob +metadata: + name: dl-job +spec: + jobs: + - name: pre-train + replica: 1 + containers: + - name: pre-train + image: pretrain + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + - name: embedding-train + type: train + replica: 3 + stateful: true + containers: + - name: train + image: embedding + model: /workspace/models.py + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + data-flow: + - name: embedding-data + upstream: pre-train + downstream: embedding-train + - name: distributed + inside-job: embedding-train + diff --git a/test/deploy/main b/test/deploy/main new file mode 100755 index 0000000000000000000000000000000000000000..0b200937f2ab550215f47ca52e8333cc127bb4c7 Binary files /dev/null and b/test/deploy/main differ diff --git a/test/deploy/main.go b/test/deploy/main.go new file mode 100644 index 0000000000000000000000000000000000000000..490b2e97eeddf534ebff25effb7b622ccfa010b0 --- /dev/null +++ b/test/deploy/main.go @@ -0,0 +1,13 @@ +package main + +import ( + "net/http" + "os" +) + +func main() { + http.HandleFunc("/exit", func(w http.ResponseWriter, r *http.Request) { + os.Exit(-1) + }) + http.ListenAndServe(":8888", nil) +} diff --git a/test/deploy/pod-for-crn.yaml b/test/deploy/pod-for-crn.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5224d856355e44f3892702461ee9e28c6d776c85 --- /dev/null +++ b/test/deploy/pod-for-crn.yaml @@ -0,0 +1,182 @@ +# apiVersion: v1 +# kind: PersistentVolumeClaim +# metadata: +# name: lpx-pod +# namespace: user-lpx +# spec: +# accessModes: +# - ReadWriteOnce +# resources: +# requests: +# storage: 1Gi +# --- +# apiVersion: v1 +# kind: ConfigMap +# metadata: +# name: pod-for-test-0-nvidia-config +# namespace: user-lpx +# data: +# NVIDIA_VISIBLE_DEVICES: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: crn-pod + namespace: user-lpx +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 100Gi +--- +apiVersion: v1 +kind: Pod +metadata: + name: pod-for-crn + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +spec: + restartPolicy: Always + containers: + - name: pod + image: pxllpx/benchmark:v6 + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 2 # requesting 1 GPU + volumeMounts: + - mountPath: /workspace + name: data + ports: + - name: ssh + containerPort: 22 + hostPort: 30022 + volumes: + - name: data + persistentVolumeClaim: + claimName: crn-pod # 这里是pvc的名字 + nodeSelector: + kubernetes.io/hostname: dell-61 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +# spec: +# restartPolicy: Never +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-1-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-2 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-2-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-3 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-3-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES + +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +# spec: +# restartPolicy: Always +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-1-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-2 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +# spec: +# restartPolicy: Always +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-2-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES diff --git a/test/deploy/pod-for-gpu-shared.yaml b/test/deploy/pod-for-gpu-shared.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f1cc1483bc1654b304592a863bdb2d3c74574c5f --- /dev/null +++ b/test/deploy/pod-for-gpu-shared.yaml @@ -0,0 +1,80 @@ +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-13 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-14 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-15 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-16 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-05 \ No newline at end of file diff --git a/test/deploy/pod-for-test.yaml b/test/deploy/pod-for-test.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a421c5e11da853fca974b351c3db06767f050d73 --- /dev/null +++ b/test/deploy/pod-for-test.yaml @@ -0,0 +1,164 @@ +# apiVersion: v1 +# kind: PersistentVolumeClaim +# metadata: +# name: lpx-pod +# namespace: user-lpx +# spec: +# accessModes: +# - ReadWriteOnce +# resources: +# requests: +# storage: 1Gi +# --- +# apiVersion: v1 +# kind: ConfigMap +# metadata: +# name: pod-for-test-0-nvidia-config +# namespace: user-lpx +# data: +# NVIDIA_VISIBLE_DEVICES: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d +# --- +apiVersion: v1 +kind: Pod +metadata: + name: pod-for-test-0 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +spec: + restartPolicy: Never + schedulerName: kube-gpu-sparse-scheduler + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + valueFrom: + configMapKeyRef: + name: pod-for-test-0-nvidia-gpu-env + key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +# spec: +# restartPolicy: Never +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-1-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-2 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-2-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-3 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-3-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES + +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +# spec: +# restartPolicy: Always +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-1-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: pod-for-test-2 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +# spec: +# restartPolicy: Always +# schedulerName: kube-gpu-sparse-scheduler +# containers: +# - name: nginx +# image: nginx:latest +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 3 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# valueFrom: +# configMapKeyRef: +# name: pod-for-test-2-nvidia-gpu-env +# key: NVIDIA_VISIBLE_DEVICES diff --git a/test/deploy/pod-hostpath.yaml b/test/deploy/pod-hostpath.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b0a1d65b9126cbbf8d65a7ada8099f313c0e60a7 --- /dev/null +++ b/test/deploy/pod-hostpath.yaml @@ -0,0 +1,26 @@ +apiVersion: v1 +kind: Pod +metadata: + name: pod-for-data-set-test-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":23,"is_end2end":true,"macs":34.683,"params":218.411,"batch_size":160,"embedding_size_total":375,"embedding_dim_total":400,"embedding_table_count":8}' +spec: + restartPolicy: Always + containers: + - name: nginx + image: nginx:latest + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /.data + name: dataset-path + volumes: + - name: dataset-path + hostPath: + path: /.pod/user-lpx-recommanddljob-with-data-set-33de500f-7e97-47aa-b723-e8b7b81b264a-0/bert-dataset + nodeSelector: + kubernetes.io/hostname: dell-66 + \ No newline at end of file diff --git a/test/deploy/pod-kubeshare-ywy.yaml b/test/deploy/pod-kubeshare-ywy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..694f4e91672e0d76bbc35e481d8cfe07fa5a88f2 --- /dev/null +++ b/test/deploy/pod-kubeshare-ywy.yaml @@ -0,0 +1,41 @@ +apiVersion: v1 +kind: Pod +metadata: + name: pytorch-ywy + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: pytorch + image: pytorch/pytorch:latest + command: ["sh", "-c", "sleep infinity"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-07 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-resnet-2 +# labels: +# "sharedgpu/gpu_request": "0.49" +# "sharedgpu/gpu_limit": "0.49" +# "sharedgpu/gpu_mem" : "4294967296" +# spec: +# schedulerName: kubeshare-scheduler +# restartPolicy: Always +# containers: +# - name: resnet-2 +# image: pxllpx/pytorch_resnet:v1.0 +# command: ["sh", "-c", "sleep infinity"] +# imagePullPolicy: IfNotPresent +# nodeSelector: +# kubernetes.io/hostname: dell-61 \ No newline at end of file diff --git a/test/deploy/pod-kubeshare.yaml b/test/deploy/pod-kubeshare.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6f72d8ccdc582b741e819efaf9a5ac5630d85920 --- /dev/null +++ b/test/deploy/pod-kubeshare.yaml @@ -0,0 +1,386 @@ +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-1 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-06 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-2 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-06 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-3 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-06 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-4 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-06 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-5 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-07 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-6 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-07 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-7 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-07 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-8 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-07 +--- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-net-gen-9 +# namespace: user-lpx +# # labels: +# # "sharedgpu/gpu_request": "0.49" +# # "sharedgpu/gpu_limit": "0.49" +# # "sharedgpu/gpu_mem" : "4294967296" +# spec: +# # schedulerName: kubeshare-scheduler +# restartPolicy: Always +# containers: +# - name: resnet-1 +# image: pxllpx/net-gen:embedding +# command: ["/main"] +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# nodeSelector: +# kubernetes.io/hostname: scse-dell-08 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-net-gen-10 +# namespace: user-lpx +# # labels: +# # "sharedgpu/gpu_request": "0.49" +# # "sharedgpu/gpu_limit": "0.49" +# # "sharedgpu/gpu_mem" : "4294967296" +# spec: +# # schedulerName: kubeshare-scheduler +# restartPolicy: Always +# containers: +# - name: resnet-1 +# image: pxllpx/net-gen:embedding +# command: ["/main"] +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# nodeSelector: +# kubernetes.io/hostname: scse-dell-08 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-net-gen-11 +# namespace: user-lpx +# # labels: +# # "sharedgpu/gpu_request": "0.49" +# # "sharedgpu/gpu_limit": "0.49" +# # "sharedgpu/gpu_mem" : "4294967296" +# spec: +# # schedulerName: kubeshare-scheduler +# restartPolicy: Always +# containers: +# - name: resnet-1 +# image: pxllpx/net-gen:embedding +# command: ["/main"] +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# nodeSelector: +# kubernetes.io/hostname: scse-dell-08 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-net-gen-12 +# namespace: user-lpx +# # labels: +# # "sharedgpu/gpu_request": "0.49" +# # "sharedgpu/gpu_limit": "0.49" +# # "sharedgpu/gpu_mem" : "4294967296" +# spec: +# # schedulerName: kubeshare-scheduler +# restartPolicy: Always +# containers: +# - name: resnet-1 +# image: pxllpx/net-gen:embedding +# command: ["/main"] +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# nodeSelector: +# kubernetes.io/hostname: scse-dell-08 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-13 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-14 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-15 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-16 + namespace: user-lpx + # labels: + # "sharedgpu/gpu_request": "0.49" + # "sharedgpu/gpu_limit": "0.49" + # "sharedgpu/gpu_mem" : "4294967296" +spec: + # schedulerName: kubeshare-scheduler + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: scse-dell-05 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-resnet-2 +# labels: +# "sharedgpu/gpu_request": "0.49" +# "sharedgpu/gpu_limit": "0.49" +# "sharedgpu/gpu_mem" : "4294967296" +# spec: +# schedulerName: kubeshare-scheduler +# restartPolicy: Always +# containers: +# - name: resnet-2 +# image: pxllpx/pytorch_resnet:v1.0 +# command: ["sh", "-c", "sleep infinity"] +# imagePullPolicy: IfNotPresent +# nodeSelector: +# kubernetes.io/hostname: dell-61 \ No newline at end of file diff --git a/test/deploy/pod-net-gen.yaml b/test/deploy/pod-net-gen.yaml new file mode 100644 index 0000000000000000000000000000000000000000..995aa19a0a90d678403a63379e96fa15a728bbda --- /dev/null +++ b/test/deploy/pod-net-gen.yaml @@ -0,0 +1,198 @@ +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-61-1 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-61 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-61-2 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-61 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-net-gen-dell-62-1 +# namespace: user-lpx +# spec: +# restartPolicy: Always +# containers: +# - name: resnet-1 +# image: pxllpx/net-gen:embedding +# command: ["/main"] +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# nodeSelector: +# kubernetes.io/hostname: dell-62 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-63-1 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-63 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-63-2 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-63 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-64-1 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-64 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-64-2 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-64 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-69-1 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-69 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: lpx-net-gen-dell-69-2 +# namespace: user-lpx +# spec: +# restartPolicy: Always +# containers: +# - name: resnet-1 +# image: pxllpx/net-gen:embedding +# command: ["/main"] +# imagePullPolicy: IfNotPresent +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# nodeSelector: +# kubernetes.io/hostname: dell-69 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-70-1 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-70 +--- +apiVersion: v1 +kind: Pod +metadata: + name: lpx-net-gen-dell-70-2 + namespace: user-lpx +spec: + restartPolicy: Always + containers: + - name: resnet-1 + image: pxllpx/net-gen:embedding + command: ["/main"] + imagePullPolicy: IfNotPresent + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + nodeSelector: + kubernetes.io/hostname: dell-70 +--- \ No newline at end of file diff --git a/test/deploy/pvc.yaml b/test/deploy/pvc.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d835cf73b5ace8f1e894a9f75ca88639f06c9f8a --- /dev/null +++ b/test/deploy/pvc.yaml @@ -0,0 +1,12 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: deepctr-dataset + namespace: user-lpx +spec: + storageClassName: rook-cephfs + accessModes: + - ReadWriteMany + resources: + requests: + storage: 15Gi \ No newline at end of file diff --git a/test/exp/README.md b/test/exp/README.md new file mode 100644 index 0000000000000000000000000000000000000000..324e8c94e2d6032e94aea104c58bd571b8f20fda --- /dev/null +++ b/test/exp/README.md @@ -0,0 +1,37 @@ +# 实验步骤 + +0. 已有的benchmark镜像： +- vit +- gpt2 +- bert +- yolov5 +- mlp +- deepctr +1. 单独跑每个benchmark，记录数据 +- 调不同的超参，每个模型调10-20个超参出来 + - batch_size + - 支持配置的其他参数 +- 调一个epoch，让任务大概跑10分钟左右即可 + - 比如epoch=1-10，或者减小一下数据集，不用跑太久 +- 每个模型绑一张卡，跑的时候不要冲突 +- 用dcgmi记录运行过程中的GPU利用率 +- 用几行python代码记录模型的MACCs和Params等信息 +2. 每个模型跑10-20个超参，记录到excel表中，有以下几列： +- 模型名称 +- batch_size +- 其他超参配置 +- epoch +- GPUUtilAvg: GPUTL +- GPUUtilStd: GPUTL +- GPUMemMax: FBUSD +- SMActiveAvg: SMACT +- SMActiveStd: SMACT +- SMOccupiedAvg: SMOCC +- SMOccupiedStd: SMOCC +- DramCopyAvg: DRAMA +- DramCopyStd: DRAMA +- FP32ActiveAvg: FP32A +- FP32ActiveStd: FP32A +- MACCs +- params +- Job Complete Time \ No newline at end of file diff --git a/test/final_exp1/extract_time.py b/test/final_exp1/extract_time.py new file mode 100644 index 0000000000000000000000000000000000000000..ff0dc85b0d7d717a0b5c980d7f8d805dc64a8f86 --- /dev/null +++ b/test/final_exp1/extract_time.py @@ -0,0 +1,36 @@ +from dateutil import parser +import pandas as pd +import os + +file_path = "./base.csv" + +pods_output = os.popen("kubectl -n user-lpx get pods -o jsonpath='{.items[*].metadata.name}'").read() +pods = pods_output.strip().replace("'", "").split() + +# Create a DataFrame +cd = pd.DataFrame(pods, columns=['pod']) +cd['start_time'] = '' +cd['end_time'] = '' +cd['jct'] = 0 + +data = pd.read_csv(file_path) +cd = data.copy(deep=True) + +for index, row in data.iterrows(): + p = os.popen("kubectl -n user-lpx -o jsonpath='{.status.containerStatuses[0].state.terminated.startedAt}' get pod "+row['pod']) + start_time = p.read() + p.close() + if start_time == '': + continue + start = parser.parse(start_time) + p = os.popen("kubectl -n user-lpx -o jsonpath='{.status.containerStatuses[0].state.terminated.finishedAt}' get pod "+row['pod']) + end_time = p.read() + p.close() + end = parser.parse(end_time) + cd['start_time'][index] = start_time + cd['end_time'][index] = end_time + cd['jct'][index] = int((end - start).seconds) + +print(cd) + +cd.to_csv(file_path, index=False) diff --git a/test/final_exp1/high/best/best.csv b/test/final_exp1/high/best/best.csv new file mode 100644 index 0000000000000000000000000000000000000000..dd4bf62a1900fd7c5c8e6cd38b736acf75cafd60 --- /dev/null +++ b/test/final_exp1/high/best/best.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct,increase +dell-65,1,bert,best-bert-pod-65-1-1,2023-10-30T09:16:36Z,2023-10-30T10:37:26Z,4850,1.96 +dell-65,1,deepfm,best-deepctr-pod-65-1-1,2023-10-30T09:16:37Z,2023-10-30T10:05:39Z,2942,1.98 +dell-65,2,bert,best-bert-pod-65-2-2,2023-10-30T09:16:36Z,2023-10-30T10:37:24Z,4848,1.95 +dell-65,2,deepfm,best-deepctr-pod-65-2-2,2023-10-30T09:16:37Z,2023-10-30T10:05:37Z,2940,1.98 +dell-65,3,bert,best-bert-pod-65-3-3,2023-10-30T09:16:43Z,2023-10-30T10:37:26Z,4843,1.95 +dell-65,3,deepfm,best-deepctr-pod-65-3-3,2023-10-30T09:16:45Z,2023-10-30T10:05:49Z,2944,1.98 +dell-65,4,bert,best-bert-pod-65-4-4,2023-10-30T09:16:41Z,2023-10-30T10:37:26Z,4845,1.95 +dell-65,4,deepfm,best-deepctr-pod-65-4-4,2023-10-30T09:16:39Z,2023-10-30T10:05:36Z,2937,1.98 +dell-66,1,bert,best-bert-pod-66-1-1,2023-10-30T09:16:30Z,2023-10-30T10:28:52Z,4342,1.75 +dell-66,1,deepfm,best-deepctr-pod-66-1-1,2023-10-30T09:16:34Z,2023-10-30T10:06:10Z,2976,2.02 +dell-66,2,bert,best-bert-pod-66-2-2,2023-10-30T09:16:32Z,2023-10-30T10:24:41Z,4089,1.65 +dell-66,2,deepfm,best-deepctr-pod-66-2-2,2023-10-30T09:16:40Z,2023-10-30T10:06:49Z,3009,2.04 +dell-66,3,bert,best-bert-pod-66-3-3,2023-10-30T09:16:47Z,2023-10-30T10:28:11Z,4284,1.73 +dell-66,3,deepfm,best-deepctr-pod-66-3-3,2023-10-30T09:16:43Z,2023-10-30T10:06:34Z,2991,2.03 +dell-66,4,bert,best-bert-pod-66-4-4,2023-10-30T09:16:41Z,2023-10-30T10:28:53Z,4332,1.75 +dell-66,4,deepfm,best-deepctr-pod-66-4-4,2023-10-30T09:16:45Z,2023-10-30T10:06:19Z,2974,2.01 +dell-67,1,bert,best-bert-pod-67-1-1,2023-10-30T09:16:40Z,2023-10-30T10:38:49Z,4929,1.99 +dell-67,1,deepfm,best-deepctr-pod-67-1-1,2023-10-30T09:16:41Z,2023-10-30T10:01:27Z,2686,1.82 +dell-67,2,bert,best-bert-pod-67-2-2,2023-10-30T09:16:40Z,2023-10-30T10:38:18Z,4898,1.97 +dell-67,2,deepfm,best-deepctr-pod-67-2-2,2023-10-30T09:16:41Z,2023-10-30T10:01:19Z,2678,1.81 +dell-67,3,bert,best-bert-pod-67-3-3,2023-10-30T09:16:43Z,2023-10-30T10:38:49Z,4926,1.99 +dell-67,3,deepfm,best-deepctr-pod-67-3-3,2023-10-30T09:16:45Z,2023-10-30T10:01:30Z,2685,1.82 +dell-67,4,bert,best-bert-pod-67-4-4,2023-10-30T09:16:49Z,2023-10-30T10:38:49Z,4920,1.98 +dell-67,4,deepfm,best-deepctr-pod-67-4-4,2023-10-30T09:16:47Z,2023-10-30T10:01:37Z,2690,1.82 +dell-68,2,bert,best-bert-pod-68-2-2,2023-10-30T09:16:40Z,2023-10-30T10:32:04Z,4524,1.82 +dell-68,2,deepfm,best-deepctr-pod-68-2-2,2023-10-30T09:16:41Z,2023-10-30T10:02:04Z,2723,1.84 +dell-68,3,bert,best-bert-pod-68-3-3,2023-10-30T09:16:46Z,2023-10-30T10:32:03Z,4517,1.82 +dell-68,3,deepfm,best-deepctr-pod-68-3-3,2023-10-30T09:16:43Z,2023-10-30T10:02:59Z,2776,1.88 +dell-68,4,bert,best-bert-pod-68-4-4,2023-10-30T09:16:40Z,2023-10-30T10:32:06Z,4526,1.82 +dell-68,4,deepfm,best-deepctr-pod-68-4-4,2023-10-30T09:16:45Z,2023-10-30T10:02:16Z,2731,1.85 diff --git a/test/final_exp1/high/best/best65.yaml b/test/final_exp1/high/best/best65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ca252c77f67d761e19eb07a10013e0dae4115d3c --- /dev/null +++ b/test/final_exp1/high/best/best65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/best66.yaml b/test/final_exp1/high/best/best66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..855e6b6f5864a06df4c62aca693584ec40484a91 --- /dev/null +++ b/test/final_exp1/high/best/best66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/best67.yaml b/test/final_exp1/high/best/best67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..74d99d50e60a10a233a27918e0ae8195bbc72a68 --- /dev/null +++ b/test/final_exp1/high/best/best67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/best68.yaml b/test/final_exp1/high/best/best68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9413b23177fe3d2fac146e9e50d4d9fd5fa68cf1 --- /dev/null +++ b/test/final_exp1/high/best/best68.yaml @@ -0,0 +1,247 @@ +# apiVersion: v1 +# kind: Pod +# metadata: +# name: best-resnet-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: best-deepctr-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +# spec: +# restartPolicy: Never +# containers: +# - name: bert +# image: pxllpx/deepctr:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/best_low.csv b/test/final_exp1/high/best/best_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..baca8a7c634c262b5b5f20af01888d3653957cfe --- /dev/null +++ b/test/final_exp1/high/best/best_low.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct,increase +dell-65,1,resnet,best-resnet-pod-65-1-1,2023-11-01T03:34:13Z,2023-11-01T04:13:18Z,2345.0, +dell-65,1,deepfm,best-deepctr-pod-65-1-1,2023-11-01T03:34:07Z,2023-11-01T04:28:37Z,3270.0, +dell-65,2,resnet,best-resnet-pod-65-2-2,2023-11-01T03:34:04Z,2023-11-01T04:13:07Z,2343.0, +dell-65,2,deepfm,best-deepctr-pod-65-2-2,2023-11-01T03:34:10Z,2023-11-01T04:28:30Z,3260.0, +dell-65,3,resnet,best-resnet-pod-65-3-3,2023-11-01T03:34:05Z,2023-11-01T04:13:18Z,2353.0, +dell-65,3,deepfm,best-deepctr-pod-65-3-3,2023-11-01T03:34:08Z,2023-11-01T04:28:47Z,3279.0, +dell-65,4,resnet,best-resnet-pod-65-4-4,2023-11-01T03:34:12Z,2023-11-01T04:13:06Z,2334.0, +dell-65,4,deepfm,best-deepctr-pod-65-4-4,2023-11-01T03:34:05Z,2023-11-01T04:28:32Z,3267.0, +dell-66,1,resnet,best-resnet-pod-66-1-1,2023-11-01T03:33:59Z,2023-11-01T04:22:27Z,2908.0, +dell-66,1,deepfm,best-deepctr-pod-66-1-1,2023-11-01T03:34:03Z,2023-11-01T04:34:31Z,3628.0, +dell-66,2,resnet,best-resnet-pod-66-2-2,2023-11-01T03:34:01Z,2023-11-01T04:24:44Z,3043.0, +dell-66,2,deepfm,best-deepctr-pod-66-2-2,2023-11-01T03:34:05Z,2023-11-01T04:34:44Z,3639.0, +dell-66,3,resnet,best-resnet-pod-66-3-3,2023-11-01T03:34:09Z,2023-11-01T04:24:00Z,2991.0, +dell-66,3,deepfm,best-deepctr-pod-66-3-3,2023-11-01T03:34:13Z,2023-11-01T04:34:55Z,3642.0, +dell-66,4,resnet,best-resnet-pod-66-4-4,2023-11-01T03:34:07Z,2023-11-01T04:24:36Z,3029.0, +dell-66,4,deepfm,best-deepctr-pod-66-4-4,2023-11-01T03:34:11Z,2023-11-01T04:34:22Z,3611.0, +dell-67,1,resnet,best-resnet-pod-67-1-1,2023-11-01T03:34:09Z,2023-11-01T04:22:49Z,2920.0, +dell-67,1,deepfm,best-deepctr-pod-67-1-1,2023-11-01T03:34:11Z,2023-11-01T04:34:43Z,3632.0, +dell-67,2,resnet,best-resnet-pod-67-2-2,2023-11-01T03:34:10Z,2023-11-01T04:23:01Z,2931.0, +dell-67,2,deepfm,best-deepctr-pod-67-2-2,2023-11-01T03:34:13Z,2023-11-01T04:34:45Z,3632.0, +dell-67,3,resnet,best-resnet-pod-67-3-3,2023-11-01T03:34:14Z,2023-11-01T04:22:56Z,2922.0, +dell-67,3,deepfm,best-deepctr-pod-67-3-3,2023-11-01T03:34:09Z,2023-11-01T04:34:43Z,3634.0, +dell-67,4,resnet,best-resnet-pod-67-4-4,2023-11-01T03:34:09Z,2023-11-01T04:23:02Z,2933.0, +dell-67,4,deepfm,best-deepctr-pod-67-4-4,2023-11-01T03:34:16Z,2023-11-01T04:34:39Z,3623.0, +dell-68,2,resnet,best-resnet-pod-68-2-2,2023-11-01T03:34:09Z,2023-11-01T04:24:01Z,2992.0, +dell-68,2,deepfm,best-deepctr-pod-68-2-2,2023-11-01T03:34:14Z,2023-11-01T04:34:40Z,3626.0, +dell-68,3,resnet,best-resnet-pod-68-3-3,2023-11-01T03:34:09Z,2023-11-01T04:24:44Z,3035.0, +dell-68,3,deepfm,best-deepctr-pod-68-3-3,2023-11-01T03:34:10Z,2023-11-01T04:34:26Z,3616.0, +dell-68,4,resnet,best-resnet-pod-68-4-4,2023-11-01T03:34:15Z,2023-11-01T04:24:35Z,3020.0, +dell-68,4,deepfm,best-deepctr-pod-68-4-4,2023-11-01T03:34:12Z,2023-11-01T04:34:38Z,3626.0, diff --git a/test/final_exp1/high/best/first.yaml b/test/final_exp1/high/best/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..49d55f655ac31a61e29d7125c2200cefb24b9491 --- /dev/null +++ b/test/final_exp1/high/best/first.yaml @@ -0,0 +1,71 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-bert-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=4 --epochs=0.2 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-deepfm-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/forth.yaml b/test/final_exp1/high/best/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e1a11e5c2408a917051dbfcdbef9d060bd4a69c4 --- /dev/null +++ b/test/final_exp1/high/best/forth.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-deepfm-yaml-with-data-set-3 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/second.yaml b/test/final_exp1/high/best/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4db489266f74e0c5d33d115910d694824c3cbb00 --- /dev/null +++ b/test/final_exp1/high/best/second.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-deepfm-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/best/start.sh b/test/final_exp1/high/best/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..5680c83996cbfa6d20ac043e4a4ba07f293763cf --- /dev/null +++ b/test/final_exp1/high/best/start.sh @@ -0,0 +1,7 @@ +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml +sleep 5 +kubectl apply -f third.yaml +sleep 5 +kubectl apply -f forth.yaml \ No newline at end of file diff --git a/test/final_exp1/high/best/third.yaml b/test/final_exp1/high/best/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f0aa8a83cb9f4d89a6c7f989f2813681d405be2c --- /dev/null +++ b/test/final_exp1/high/best/third.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-bert-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=4 --epochs=0.2 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/default.csv b/test/final_exp1/high/default/default.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b3f173b0436a9b1c4332c94fc2f1b3cfad8a014 --- /dev/null +++ b/test/final_exp1/high/default/default.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,bert,default-bert-pod-65-1-1,2023-10-30T15:34:16Z,2023-10-30T17:04:47Z,5431 +dell-65,1,bert,default-bert-pod-65-3-1,2023-10-30T15:34:25Z,2023-10-30T17:04:47Z,5422 +dell-65,2,bert,default-bert-pod-65-2-2,2023-10-30T15:34:17Z,2023-10-30T17:03:50Z,5373 +dell-65,2,bert,default-bert-pod-65-4-2,2023-10-30T15:34:23Z,2023-10-30T17:03:50Z,5367 +dell-65,3,deepctr,default-deepctr-pod-65-1-3,2023-10-30T15:34:19Z,2023-10-30T16:28:57Z,3278 +dell-65,3,deepctr,default-deepctr-pod-65-3-3,2023-10-30T15:34:18Z,2023-10-30T16:28:56Z,3278 +dell-65,4,deepctr,default-deepctr-pod-66-2-4,2023-10-30T15:34:24Z,2023-10-30T16:28:55Z,3271 +dell-65,4,deepctr,default-deepctr-pod-68-4-4,2023-10-30T15:34:22Z,2023-10-30T16:29:15Z,3293 +dell-66,1,bert,default-bert-pod-66-1-1,2023-10-30T15:34:10Z,2023-10-30T16:54:54Z,4844 +dell-66,1,bert,default-bert-pod-66-3-1,2023-10-30T15:34:22Z,2023-10-30T16:55:27Z,4865 +dell-66,2,bert,default-bert-pod-66-2-2,2023-10-30T15:34:12Z,2023-10-30T17:03:10Z,5338 +dell-66,2,bert,default-bert-pod-66-4-2,2023-10-30T15:34:18Z,2023-10-30T17:03:10Z,5332 +dell-66,3,deepctr,default-deepctr-pod-66-1-3,2023-10-30T15:34:14Z,2023-10-30T16:29:23Z,3309 +dell-66,3,deepctr,default-deepctr-pod-66-3-3,2023-10-30T15:34:20Z,2023-10-30T16:29:30Z,3310 +dell-66,4,deepctr,default-deepctr-pod-66-2-4,2023-10-30T15:34:24Z,2023-10-30T16:28:55Z,3271 +dell-66,4,deepctr,default-deepctr-pod-66-4-4,2023-10-30T15:34:24Z,2023-10-30T16:28:55Z,3271 +dell-67,1,bert,default-bert-pod-67-1-1,2023-10-30T15:34:22Z,2023-10-30T17:08:50Z,5668 +dell-67,1,bert,default-bert-pod-67-3-1,2023-10-30T15:34:23Z,2023-10-30T17:08:50Z,5667 +dell-67,2,bert,default-bert-pod-67-2-2,2023-10-30T15:34:21Z,2023-10-30T17:08:10Z,5629 +dell-67,2,bert,default-bert-pod-67-4-2,2023-10-30T15:34:20Z,2023-10-30T17:08:10Z,5630 +dell-67,3,deepctr,default-deepctr-pod-67-1-3,2023-10-30T15:34:28Z,2023-10-30T16:29:12Z,3284 +dell-67,3,deepctr,default-deepctr-pod-67-3-3,2023-10-30T15:34:26Z,2023-10-30T16:29:09Z,3283 +dell-67,4,deepctr,default-deepctr-pod-67-2-4,2023-10-30T15:34:21Z,2023-10-30T16:29:18Z,3297 +dell-67,4,deepctr,default-deepctr-pod-67-4-4,2023-10-30T15:34:25Z,2023-10-30T16:29:17Z,3292 +dell-68,2,bert,default-bert-pod-68-2-2,2023-10-30T15:34:21Z,2023-10-30T17:07:07Z,5566 +dell-68,2,bert,default-bert-pod-68-4-2,2023-10-30T15:34:25Z,2023-10-30T17:07:07Z,5562 +dell-68,3,deepctr,default-deepctr-pod-68-1-3,2023-10-30T15:34:21Z,2023-10-30T16:29:12Z,3291 +dell-68,3,deepctr,default-deepctr-pod-68-3-3,2023-10-30T15:34:27Z,2023-10-30T16:29:16Z,3289 +dell-68,4,deepctr,default-deepctr-pod-68-2-4,2023-10-30T15:34:24Z,2023-10-30T16:29:16Z,3292 +dell-68,4,deepctr,default-deepctr-pod-68-4-4,2023-10-30T15:34:22Z,2023-10-30T16:29:15Z,3263 \ No newline at end of file diff --git a/test/final_exp1/high/default/default65.yaml b/test/final_exp1/high/default/default65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1dd25bbccef75d424313273bb7690758f1065fdd --- /dev/null +++ b/test/final_exp1/high/default/default65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/default66.yaml b/test/final_exp1/high/default/default66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4dc1005f0aaf1fcb684b354fd3e59248270d889f --- /dev/null +++ b/test/final_exp1/high/default/default66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/default67.yaml b/test/final_exp1/high/default/default67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c2f0f9a3bb1774d717873a2d87a6196b98722dda --- /dev/null +++ b/test/final_exp1/high/default/default67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/default68.yaml b/test/final_exp1/high/default/default68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..44d465da5332b5388b06634da38d4e4007c6cf93 --- /dev/null +++ b/test/final_exp1/high/default/default68.yaml @@ -0,0 +1,247 @@ +# apiVersion: v1 +# kind: Pod +# metadata: +# name: default-resnet-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: default-resnet-pod-68-3-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-68-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/default_low.csv b/test/final_exp1/high/default/default_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..c20d75e4292f992b49bec3380f3a2a0265c2eb65 --- /dev/null +++ b/test/final_exp1/high/default/default_low.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,resnet,default-resnet-pod-65-1-1,2023-11-01T11:34:30Z,2023-11-01T12:17:49Z,2599.0 +dell-65,1,resnet,default-resnet-pod-65-3-1,2023-11-01T11:34:29Z,2023-11-01T12:17:50Z,2601.0 +dell-65,2,resnet,default-resnet-pod-65-2-2,2023-11-01T11:34:34Z,2023-11-01T12:17:54Z,2600.0 +dell-65,2,resnet,default-resnet-pod-65-4-2,2023-11-01T11:34:37Z,2023-11-01T12:17:58Z,2601.0 +dell-65,3,deepctr,default-deepctr-pod-65-1-3,2023-11-01T11:34:35Z,2023-11-01T12:40:33Z,3958.0 +dell-65,3,deepctr,default-deepctr-pod-65-3-3,2023-11-01T11:34:28Z,2023-11-01T12:40:27Z,3959.0 +dell-65,4,deepctr,default-deepctr-pod-65-2-4,2023-11-01T11:34:31Z,2023-11-01T12:40:19Z,3948.0 +dell-65,4,deepctr,default-deepctr-pod-65-4-4,2023-11-01T11:34:29Z,2023-11-01T12:40:09Z,3940.0 +dell-66,1,resnet,default-resnet-pod-66-1-1,2023-11-01T11:34:21Z,2023-11-01T12:24:23Z,3002.0 +dell-66,1,resnet,default-resnet-pod-66-3-1,2023-11-01T11:34:28Z,2023-11-01T12:24:05Z,2977.0 +dell-66,2,resnet,default-resnet-pod-66-2-2,2023-11-01T11:34:23Z,2023-11-01T12:23:30Z,2947.0 +dell-66,2,resnet,default-resnet-pod-66-4-2,2023-11-01T11:34:35Z,2023-11-01T12:23:57Z,2962.0 +dell-66,3,deepctr,default-deepctr-pod-66-1-3,2023-11-01T11:34:26Z,2023-11-01T12:43:49Z,4163.0 +dell-66,3,deepctr,default-deepctr-pod-66-3-3,2023-11-01T11:34:32Z,2023-11-01T12:44:07Z,4175.0 +dell-66,4,deepctr,default-deepctr-pod-66-2-4,2023-11-01T11:34:33Z,2023-11-01T12:43:35Z,4142.0 +dell-66,4,deepctr,default-deepctr-pod-66-4-4,2023-11-01T11:34:30Z,2023-11-01T12:43:32Z,4142.0 +dell-67,1,resnet,default-resnet-pod-67-1-1,2023-11-01T11:34:32Z,2023-11-01T12:23:39Z,2947.0 +dell-67,1,resnet,default-resnet-pod-67-3-1,2023-11-01T11:34:37Z,2023-11-01T12:23:43Z,2946.0 +dell-67,2,resnet,default-resnet-pod-67-2-2,2023-11-01T11:34:29Z,2023-11-01T12:23:41Z,2952.0 +dell-67,2,resnet,default-resnet-pod-67-4-2,2023-11-01T11:34:34Z,2023-11-01T12:23:17Z,2923.0 +dell-67,3,deepctr,default-deepctr-pod-67-1-3,2023-11-01T11:34:31Z,2023-11-01T12:43:12Z,4121.0 +dell-67,3,deepctr,default-deepctr-pod-67-3-3,2023-11-01T11:34:39Z,2023-11-01T12:43:20Z,4121.0 +dell-67,4,deepctr,default-deepctr-pod-67-2-4,2023-11-01T11:34:36Z,2023-11-01T12:43:49Z,4153.0 +dell-67,4,deepctr,default-deepctr-pod-67-4-4,2023-11-01T11:34:41Z,2023-11-01T12:43:54Z,4153.0 +dell-68,2,resnet,default-resnet-pod-68-2-2,2023-11-01T11:34:41Z,2023-11-01T12:24:10Z,2969.0 +dell-68,2,resnet,default-resnet-pod-68-4-2,2023-11-01T11:34:42Z,2023-11-01T12:24:10Z,2968.0 +dell-68,3,deepctr,default-deepctr-pod-68-1-3,2023-11-01T11:34:42Z,2023-11-01T12:44:31Z,4189.0 +dell-68,3,deepctr,default-deepctr-pod-68-3-3,2023-11-01T11:34:43Z,2023-11-01T12:44:32Z,4189.0 +dell-68,4,deepctr,default-deepctr-pod-68-2-4,2023-11-01T11:34:42Z,2023-11-01T12:43:56Z,4154.0 +dell-68,4,deepctr,default-deepctr-pod-68-4-4,2023-11-01T11:34:44Z,2023-11-01T12:44:00Z,4156.0 diff --git a/test/final_exp1/high/default/first.yaml b/test/final_exp1/high/default/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..97183b06424c15982268b03209cd9964e4dd7939 --- /dev/null +++ b/test/final_exp1/high/default/first.yaml @@ -0,0 +1,71 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: default-bert-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=4 --epochs=0.2 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: default-deepfm-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/second.yaml b/test/final_exp1/high/default/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d7fac25232454513e23fc5b1e61d7ace2c6b579d --- /dev/null +++ b/test/final_exp1/high/default/second.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: default-bert-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=4 --epochs=0.2 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/default/start.sh b/test/final_exp1/high/default/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..e90428dc77966e6e8716980c9a771832df9907a7 --- /dev/null +++ b/test/final_exp1/high/default/start.sh @@ -0,0 +1,5 @@ +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml +sleep 5 +kubectl apply -f third.yaml diff --git a/test/final_exp1/high/default/third.yaml b/test/final_exp1/high/default/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bffb5bab889768791ff60e62ad70e7b2e3fd0318 --- /dev/null +++ b/test/final_exp1/high/default/third.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: default-deepfm-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/first.yaml b/test/final_exp1/high/horus/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3d4b279f8dad7d816b8b60fa71e9a2ccc4289f52 --- /dev/null +++ b/test/final_exp1/high/horus/first.yaml @@ -0,0 +1,73 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + scheduler_name: horus-scheduler + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=4 --epochs=0.2 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + scheduler_name: horus-scheduler + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/forth.yaml b/test/final_exp1/high/horus/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b88b5bdb155b252d0dd394f781b66278fb1b17b3 --- /dev/null +++ b/test/final_exp1/high/horus/forth.yaml @@ -0,0 +1,36 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-yaml-with-data-set-3 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + scheduler_name: horus-scheduler + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/horus.csv b/test/final_exp1/high/horus/horus.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef8536b115ab3593f01403484d19e6e8c58b46e8 --- /dev/null +++ b/test/final_exp1/high/horus/horus.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,bert,horus-bert-pod-65-1-1,2023-10-30T13:39:55Z,2023-10-30T15:16:38Z,5858 +dell-65,1,bert,horus-bert-pod-65-3-1,2023-10-30T13:39:55Z,2023-10-30T15:16:38Z,5858 +dell-65,2,bert,horus-bert-pod-65-2-2,2023-10-30T13:39:58Z,2023-10-30T14:56:41Z,4603 +dell-65,2,deepctr,horus-deepctr-pod-65-3-2,2023-10-30T13:39:54Z,2023-10-30T14:27:30Z,2856 +dell-65,3,bert,horus-bert-pod-65-4-3,2023-10-30T13:39:55Z,2023-10-30T14:56:41Z,4606 +dell-65,3,deepctr,horus-deepctr-pod-66-1-3,2023-10-30T13:39:52Z,2023-10-30T14:28:57Z,2945 +dell-65,4,deepctr,horus-deepctr-pod-65-2-4,2023-10-30T13:39:54Z,2023-10-30T14:34:01Z,3247 +dell-65,4,deepctr,horus-deepctr-pod-68-4-4,2023-10-30T13:40:01Z,2023-10-30T14:34:42Z,3281 +dell-66,1,bert,horus-bert-pod-66-1-1,2023-10-30T13:39:48Z,2023-10-30T15:21:27Z,6099 +dell-66,1,bert,horus-bert-pod-66-3-1,2023-10-30T13:39:56Z,2023-10-30T15:21:27Z,6091 +dell-66,2,bert,horus-bert-pod-66-2-2,2023-10-30T13:39:50Z,2023-10-30T14:47:20Z,4050 +dell-66,2,deepctr,horus-deepctr-pod-66-3-2,2023-10-30T13:39:58Z,2023-10-30T14:30:17Z,3019 +dell-66,3,bert,horus-bert-pod-66-4-3,2023-10-30T13:39:54Z,2023-10-30T14:50:57Z,4263 +dell-66,3,deepctr,horus-deepctr-pod-66-1-3,2023-10-30T13:39:52Z,2023-10-30T14:28:57Z,2945 +dell-66,4,deepctr,horus-deepctr-pod-66-2-4,2023-10-30T13:40:00Z,2023-10-30T14:34:54Z,3294 +dell-66,4,deepctr,horus-deepctr-pod-66-4-4,2023-10-30T13:40:02Z,2023-10-30T14:34:56Z,3294 +dell-67,1,bert,horus-bert-pod-67-1-1,2023-10-30T13:40:06Z,2023-10-30T15:23:53Z,6227 +dell-67,1,bert,horus-bert-pod-67-3-1,2023-10-30T13:39:59Z,2023-10-30T15:23:53Z,6234 +dell-67,2,bert,horus-bert-pod-67-2-2,2023-10-30T13:39:57Z,2023-10-30T15:08:31Z,5314 +dell-67,2,deepctr,horus-deepctr-pod-67-3-2,2023-10-30T13:39:58Z,2023-10-30T14:24:04Z,2646 +dell-67,3,bert,horus-bert-pod-67-4-3,2023-10-30T13:40:03Z,2023-10-30T15:08:32Z,5309 +dell-67,3,deepctr,horus-deepctr-pod-67-1-3,2023-10-30T13:40:07Z,2023-10-30T14:24:25Z,2658 +dell-67,4,deepctr,horus-deepctr-pod-67-2-4,2023-10-30T13:40:01Z,2023-10-30T14:34:57Z,3296 +dell-67,4,deepctr,horus-deepctr-pod-67-4-4,2023-10-30T13:40:04Z,2023-10-30T14:35:00Z,3296 +dell-68,2,bert,horus-bert-pod-68-2-2,2023-10-30T13:40:01Z,2023-10-30T15:05:07Z,5106 +dell-68,2,deepctr,horus-deepctr-pod-68-3-2,2023-10-30T13:40:02Z,2023-10-30T14:25:03Z,2701 +dell-68,3,bert,horus-bert-pod-68-4-3,2023-10-30T13:40:03Z,2023-10-30T15:05:07Z,5104 +dell-68,3,deepctr,horus-deepctr-pod-68-1-3,2023-10-30T13:40:02Z,2023-10-30T14:26:56Z,2814 +dell-68,4,deepctr,horus-deepctr-pod-68-2-4,2023-10-30T13:40:02Z,2023-10-30T14:34:41Z,3279 +dell-68,4,deepctr,horus-deepctr-pod-68-4-4,2023-10-30T13:40:01Z,2023-10-30T14:34:42Z,3281 \ No newline at end of file diff --git a/test/final_exp1/high/horus/horus65.yaml b/test/final_exp1/high/horus/horus65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..926dd39b6ca51522294cf71de38c78d9ff3a3fab --- /dev/null +++ b/test/final_exp1/high/horus/horus65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/horus66.yaml b/test/final_exp1/high/horus/horus66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b8ffef2d7cac1dd29b08eb5b83d61c919da761b6 --- /dev/null +++ b/test/final_exp1/high/horus/horus66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/horus67.yaml b/test/final_exp1/high/horus/horus67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..21792db1714681c768e14f4c2542d1bb2ae381eb --- /dev/null +++ b/test/final_exp1/high/horus/horus67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/horus68.yaml b/test/final_exp1/high/horus/horus68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1a7e28939e5df50607fcf992ad67059947d547a5 --- /dev/null +++ b/test/final_exp1/high/horus/horus68.yaml @@ -0,0 +1,247 @@ +# apiVersion: v1 +# kind: Pod +# metadata: +# name: horus-resnet-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: horus-resnet-pod-68-3-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-68-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/horus_low.csv b/test/final_exp1/high/horus/horus_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..1aa8c6c1eb3fef9342546316fc907e1bdc696455 --- /dev/null +++ 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+dell-67,2,deepctr,horus-deepctr-pod-67-3-2,2023-11-01T08:27:27Z,2023-11-01T09:27:48Z,3621.0 +dell-67,3,resnet,horus-resnet-pod-67-4-3,2023-11-01T08:27:23Z,2023-11-01T09:15:50Z,2907.0 +dell-67,3,deepctr,horus-deepctr-pod-67-1-3,2023-11-01T08:27:21Z,2023-11-01T09:27:50Z,3629.0 +dell-67,4,deepctr,horus-deepctr-pod-67-2-4,2023-11-01T08:27:22Z,2023-11-01T09:36:40Z,4158.0 +dell-67,4,deepctr,horus-deepctr-pod-67-4-4,2023-11-01T08:27:25Z,2023-11-01T09:36:43Z,4158.0 +dell-68,2,resnet,horus-resnet-pod-68-2-2,2023-11-01T08:27:21Z,2023-11-01T09:17:08Z,2987.0 +dell-68,2,deepctr,horus-deepctr-pod-68-3-2,2023-11-01T08:27:20Z,2023-11-01T09:27:48Z,3628.0 +dell-68,3,resnet,horus-resnet-pod-68-4-3,2023-11-01T08:27:25Z,2023-11-01T09:16:41Z,2956.0 +dell-68,3,deepctr,horus-deepctr-pod-68-1-3,2023-11-01T08:27:21Z,2023-11-01T09:27:35Z,3614.0 +dell-68,4,deepctr,horus-deepctr-pod-68-2-4,2023-11-01T08:27:23Z,2023-11-01T09:36:40Z,4157.0 +dell-68,4,deepctr,horus-deepctr-pod-68-4-4,2023-11-01T08:27:27Z,2023-11-01T09:36:42Z,4155.0 diff --git a/test/final_exp1/high/horus/second.yaml b/test/final_exp1/high/horus/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ed05d7f712534ed4f354086edb40929e0d888024 --- /dev/null +++ b/test/final_exp1/high/horus/second.yaml @@ -0,0 +1,36 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + scheduler_name: horus-scheduler + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/horus/start.sh b/test/final_exp1/high/horus/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..5680c83996cbfa6d20ac043e4a4ba07f293763cf --- /dev/null +++ b/test/final_exp1/high/horus/start.sh @@ -0,0 +1,7 @@ +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml +sleep 5 +kubectl apply -f third.yaml +sleep 5 +kubectl apply -f forth.yaml \ No newline at end of file diff --git a/test/final_exp1/high/horus/third.yaml b/test/final_exp1/high/horus/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5d6cc165d0f9d5bacc73e37c06ee771e50bdf6a7 --- /dev/null +++ b/test/final_exp1/high/horus/third.yaml @@ -0,0 +1,36 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + scheduler_name: horus-scheduler + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python bert.py --batch_size=4 --epochs=0.2 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/single/single.csv b/test/final_exp1/high/single/single.csv new file mode 100644 index 0000000000000000000000000000000000000000..a568aac68ebac971a1c8f9a125a69418a29aa2fc --- /dev/null +++ b/test/final_exp1/high/single/single.csv @@ -0,0 +1,19 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,bert,single-bert-pod-65-1-1,2023-11-02T14:16:57Z,2023-11-02T15:07:10Z,3013.0 +dell-65,2,bert,single-bert-pod-65-2-2,2023-11-02T14:16:59Z,2023-11-02T15:07:10Z,3011.0 +dell-65,3,deepfm,single-deepctr-pod-65-1-3,2023-11-02T14:16:57Z,2023-11-02T14:46:28Z,1771.0 +dell-65,4,deepfm,single-deepctr-pod-65-2-4,2023-11-02T14:16:58Z,2023-11-02T14:46:28Z,1770.0 +dell-66,1,bert,single-bert-pod-66-1-1,2023-11-02T14:16:55Z,2023-11-02T15:09:36Z,3161.0 +dell-66,2,bert,single-bert-pod-66-2-2,2023-11-02T14:16:56Z,2023-11-02T15:09:36Z,3160.0 +dell-66,3,deepfm,single-deepctr-pod-66-1-3,2023-11-02T14:17:01Z,2023-11-02T14:47:25Z,1824.0 +dell-66,4,deepfm,single-deepctr-pod-66-2-4,2023-11-02T14:17:00Z,2023-11-02T14:47:26Z,1826.0 +dell-67,1,bert,single-bert-pod-67-1-1,2023-11-02T14:17:12Z,2023-11-02T15:10:10Z,3178.0 +dell-67,2,bert,single-bert-pod-67-2-2,2023-11-02T14:17:12Z,2023-11-02T15:10:09Z,3177.0 +dell-67,3,deepfm,single-deepctr-pod-67-1-3,2023-11-02T14:17:12Z,2023-11-02T14:47:41Z,1829.0 +dell-67,4,deepfm,single-deepctr-pod-67-2-4,2023-11-02T14:17:12Z,2023-11-02T14:47:39Z,1827.0 +dell-68,2,bert,single-bert-pod-68-2-2,2023-11-02T14:17:06Z,2023-11-02T15:08:52Z,3106.0 +dell-68,3,deepfm,single-deepctr-pod-68-1-3,2023-11-02T14:17:06Z,2023-11-02T14:47:50Z,1844.0 +dell-68,4,deepfm,single-deepctr-pod-68-2-4,2023-11-02T14:17:06Z,2023-11-02T14:47:10Z,1804 + +bert,3115 +deepfm,1811 \ No newline at end of file diff --git a/test/final_exp1/high/single/single65.yaml b/test/final_exp1/high/single/single65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7c41c1965c8ef73926e1e4c7445b1c1a0751e2e0 --- /dev/null +++ b/test/final_exp1/high/single/single65.yaml @@ -0,0 +1,123 @@ +apiVersion: v1 +kind: Pod +metadata: + name: single-bert-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-bert-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-deepctr-pod-65-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-deepctr-pod-65-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/single/single66.yaml b/test/final_exp1/high/single/single66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0f5107e02f73aa024aaf80d4e134405ce2278a16 --- /dev/null +++ b/test/final_exp1/high/single/single66.yaml @@ -0,0 +1,125 @@ +apiVersion: v1 +kind: Pod +metadata: + name: single-bert-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-bert-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-deepctr-pod-66-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-deepctr-pod-66-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/high/single/single67.yaml b/test/final_exp1/high/single/single67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fe37caec8de3f2f17fcfdb2613185de76377c157 --- /dev/null +++ b/test/final_exp1/high/single/single67.yaml @@ -0,0 +1,123 @@ +apiVersion: v1 +kind: Pod +metadata: + name: single-bert-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-bert-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-deepctr-pod-67-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: single-deepctr-pod-67-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/high/single/single_low.csv b/test/final_exp1/high/single/single_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e3f39b9c449b7d61f1f4d25a99559158fd47bf1 --- /dev/null +++ b/test/final_exp1/high/single/single_low.csv @@ -0,0 +1,19 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,resnet,single-resnet-pod-65-1-1,2023-11-01T15:12:18Z,2023-11-01T15:36:18Z,1440.0 +dell-65,2,resnet,single-resnet-pod-65-2-2,2023-11-01T15:12:18Z,2023-11-01T15:36:20Z,1442.0 +dell-65,3,deepfm,single-deepctr-pod-65-1-3,2023-11-01T15:12:19Z,2023-11-01T15:46:10Z,2031.0 +dell-65,4,deepfm,single-deepctr-pod-65-2-4,2023-11-01T15:12:18Z,2023-11-01T15:46:19Z,2041.0 +dell-66,1,resnet,single-resnet-pod-66-1-1,2023-11-01T15:12:11Z,2023-11-01T16:01:08Z,2937.0 +dell-66,2,resnet,single-resnet-pod-66-2-2,2023-11-01T15:12:13Z,2023-11-01T16:00:34Z,2901.0 +dell-66,3,deepfm,single-deepctr-pod-66-1-3,2023-11-01T15:12:17Z,2023-11-01T16:01:34Z,2957.0 +dell-66,4,deepfm,single-deepctr-pod-66-2-4,2023-11-01T15:12:16Z,2023-11-01T16:02:01Z,2985.0 +dell-67,1,resnet,single-resnet-pod-67-1-1,2023-11-01T15:12:20Z,2023-11-01T16:01:39Z,2959.0 +dell-67,2,resnet,single-resnet-pod-67-2-2,2023-11-01T15:12:20Z,2023-11-01T16:00:58Z,2918.0 +dell-67,3,deepfm,single-deepctr-pod-67-1-3,2023-11-01T15:12:20Z,2023-11-01T16:01:35Z,2955.0 +dell-67,4,deepfm,single-deepctr-pod-67-2-4,2023-11-01T15:12:20Z,2023-11-01T16:01:47Z,2967.0 +dell-68,2,resnet,single-resnet-pod-68-2-2,2023-11-01T15:12:21Z,2023-11-01T16:01:50Z,2969.0 +dell-68,3,deepfm,single-deepctr-pod-68-1-3,2023-11-01T15:12:21Z,2023-11-01T16:01:32Z,2951.0 +dell-68,4,deepfm,single-deepctr-pod-68-2-4,2023-11-01T15:12:22Z,2023-11-01T16:02:01Z,2979.0 + +resnet,2509 +deepfm,2733 \ No newline at end of file diff --git a/test/final_exp1/horus_result b/test/final_exp1/horus_result new file mode 100644 index 0000000000000000000000000000000000000000..f6d76757079ada753fb430d017fd7f0161f65014 --- /dev/null +++ b/test/final_exp1/horus_result @@ -0,0 +1,15 @@ +GPU1 +- bert: 5173 +- bert: 5163 + +GPU2 +- bert: 4052 +- deepfm: 3042 + +GPU3 +- bert: 4091 +- deepfm: 3026 + +GPU4 +- deepfm: 3282 +- deepfm: 3280 \ No newline at end of file diff --git a/test/final_exp1/low/best/best.csv b/test/final_exp1/low/best/best.csv new file mode 100644 index 0000000000000000000000000000000000000000..dd4bf62a1900fd7c5c8e6cd38b736acf75cafd60 --- /dev/null +++ b/test/final_exp1/low/best/best.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct,increase +dell-65,1,bert,best-bert-pod-65-1-1,2023-10-30T09:16:36Z,2023-10-30T10:37:26Z,4850,1.96 +dell-65,1,deepfm,best-deepctr-pod-65-1-1,2023-10-30T09:16:37Z,2023-10-30T10:05:39Z,2942,1.98 +dell-65,2,bert,best-bert-pod-65-2-2,2023-10-30T09:16:36Z,2023-10-30T10:37:24Z,4848,1.95 +dell-65,2,deepfm,best-deepctr-pod-65-2-2,2023-10-30T09:16:37Z,2023-10-30T10:05:37Z,2940,1.98 +dell-65,3,bert,best-bert-pod-65-3-3,2023-10-30T09:16:43Z,2023-10-30T10:37:26Z,4843,1.95 +dell-65,3,deepfm,best-deepctr-pod-65-3-3,2023-10-30T09:16:45Z,2023-10-30T10:05:49Z,2944,1.98 +dell-65,4,bert,best-bert-pod-65-4-4,2023-10-30T09:16:41Z,2023-10-30T10:37:26Z,4845,1.95 +dell-65,4,deepfm,best-deepctr-pod-65-4-4,2023-10-30T09:16:39Z,2023-10-30T10:05:36Z,2937,1.98 +dell-66,1,bert,best-bert-pod-66-1-1,2023-10-30T09:16:30Z,2023-10-30T10:28:52Z,4342,1.75 +dell-66,1,deepfm,best-deepctr-pod-66-1-1,2023-10-30T09:16:34Z,2023-10-30T10:06:10Z,2976,2.02 +dell-66,2,bert,best-bert-pod-66-2-2,2023-10-30T09:16:32Z,2023-10-30T10:24:41Z,4089,1.65 +dell-66,2,deepfm,best-deepctr-pod-66-2-2,2023-10-30T09:16:40Z,2023-10-30T10:06:49Z,3009,2.04 +dell-66,3,bert,best-bert-pod-66-3-3,2023-10-30T09:16:47Z,2023-10-30T10:28:11Z,4284,1.73 +dell-66,3,deepfm,best-deepctr-pod-66-3-3,2023-10-30T09:16:43Z,2023-10-30T10:06:34Z,2991,2.03 +dell-66,4,bert,best-bert-pod-66-4-4,2023-10-30T09:16:41Z,2023-10-30T10:28:53Z,4332,1.75 +dell-66,4,deepfm,best-deepctr-pod-66-4-4,2023-10-30T09:16:45Z,2023-10-30T10:06:19Z,2974,2.01 +dell-67,1,bert,best-bert-pod-67-1-1,2023-10-30T09:16:40Z,2023-10-30T10:38:49Z,4929,1.99 +dell-67,1,deepfm,best-deepctr-pod-67-1-1,2023-10-30T09:16:41Z,2023-10-30T10:01:27Z,2686,1.82 +dell-67,2,bert,best-bert-pod-67-2-2,2023-10-30T09:16:40Z,2023-10-30T10:38:18Z,4898,1.97 +dell-67,2,deepfm,best-deepctr-pod-67-2-2,2023-10-30T09:16:41Z,2023-10-30T10:01:19Z,2678,1.81 +dell-67,3,bert,best-bert-pod-67-3-3,2023-10-30T09:16:43Z,2023-10-30T10:38:49Z,4926,1.99 +dell-67,3,deepfm,best-deepctr-pod-67-3-3,2023-10-30T09:16:45Z,2023-10-30T10:01:30Z,2685,1.82 +dell-67,4,bert,best-bert-pod-67-4-4,2023-10-30T09:16:49Z,2023-10-30T10:38:49Z,4920,1.98 +dell-67,4,deepfm,best-deepctr-pod-67-4-4,2023-10-30T09:16:47Z,2023-10-30T10:01:37Z,2690,1.82 +dell-68,2,bert,best-bert-pod-68-2-2,2023-10-30T09:16:40Z,2023-10-30T10:32:04Z,4524,1.82 +dell-68,2,deepfm,best-deepctr-pod-68-2-2,2023-10-30T09:16:41Z,2023-10-30T10:02:04Z,2723,1.84 +dell-68,3,bert,best-bert-pod-68-3-3,2023-10-30T09:16:46Z,2023-10-30T10:32:03Z,4517,1.82 +dell-68,3,deepfm,best-deepctr-pod-68-3-3,2023-10-30T09:16:43Z,2023-10-30T10:02:59Z,2776,1.88 +dell-68,4,bert,best-bert-pod-68-4-4,2023-10-30T09:16:40Z,2023-10-30T10:32:06Z,4526,1.82 +dell-68,4,deepfm,best-deepctr-pod-68-4-4,2023-10-30T09:16:45Z,2023-10-30T10:02:16Z,2731,1.85 diff --git a/test/final_exp1/low/best/best65.yaml b/test/final_exp1/low/best/best65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ca252c77f67d761e19eb07a10013e0dae4115d3c --- /dev/null +++ b/test/final_exp1/low/best/best65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/best/best66.yaml b/test/final_exp1/low/best/best66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..855e6b6f5864a06df4c62aca693584ec40484a91 --- /dev/null +++ b/test/final_exp1/low/best/best66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/best/best67.yaml b/test/final_exp1/low/best/best67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..74d99d50e60a10a233a27918e0ae8195bbc72a68 --- /dev/null +++ b/test/final_exp1/low/best/best67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/best/best68.yaml b/test/final_exp1/low/best/best68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9413b23177fe3d2fac146e9e50d4d9fd5fa68cf1 --- /dev/null +++ b/test/final_exp1/low/best/best68.yaml @@ -0,0 +1,247 @@ +# apiVersion: v1 +# kind: Pod +# metadata: +# name: best-resnet-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: best-deepctr-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +# spec: +# restartPolicy: Never +# containers: +# - name: bert +# image: pxllpx/deepctr:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-resnet-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-deepctr-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/best/best_low.csv b/test/final_exp1/low/best/best_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..baca8a7c634c262b5b5f20af01888d3653957cfe --- /dev/null +++ b/test/final_exp1/low/best/best_low.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct,increase +dell-65,1,resnet,best-resnet-pod-65-1-1,2023-11-01T03:34:13Z,2023-11-01T04:13:18Z,2345.0, +dell-65,1,deepfm,best-deepctr-pod-65-1-1,2023-11-01T03:34:07Z,2023-11-01T04:28:37Z,3270.0, +dell-65,2,resnet,best-resnet-pod-65-2-2,2023-11-01T03:34:04Z,2023-11-01T04:13:07Z,2343.0, +dell-65,2,deepfm,best-deepctr-pod-65-2-2,2023-11-01T03:34:10Z,2023-11-01T04:28:30Z,3260.0, 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one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1, 512] + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-deepfm-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 2 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: + [15000000, 3000000, 10000000, 6000000, 8000000, 300000, 200000] + embedding_dim: [16, 16, 16, 16, 16, 16, 16] + input_tensor: [1, 39] + template: + spec: + containers: + - name: deepfm + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + [ + "-c", + "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/", + ] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/best/forth.yaml b/test/final_exp1/low/best/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..114b0be03e54f9bb434204969b4cab7731467c0f --- /dev/null +++ b/test/final_exp1/low/best/forth.yaml @@ -0,0 +1,38 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-deepfm-yaml-with-data-set-3 + namespace: user-lpx +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: + [15000000, 3000000, 10000000, 6000000, 8000000, 300000, 200000] + embedding_dim: [16, 16, 16, 16, 16, 16, 16] + input_tensor: [1, 39] + template: + spec: + containers: + - name: deepfm + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + [ + "-c", + "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/", + ] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/best/second.yaml b/test/final_exp1/low/best/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f96501d6c57c93b52d09064e8e02f64ed24895b9 --- /dev/null +++ b/test/final_exp1/low/best/second.yaml @@ -0,0 +1,38 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-deepfm-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: + [15000000, 3000000, 10000000, 6000000, 8000000, 300000, 200000] + embedding_dim: [16, 16, 16, 16, 16, 16, 16] + input_tensor: [1, 39] + template: + spec: + containers: + - name: deepfm + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + [ + "-c", + "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/", + ] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/best/start.sh b/test/final_exp1/low/best/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..5680c83996cbfa6d20ac043e4a4ba07f293763cf --- /dev/null +++ b/test/final_exp1/low/best/start.sh @@ -0,0 +1,7 @@ +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml +sleep 5 +kubectl apply -f third.yaml +sleep 5 +kubectl apply -f forth.yaml \ No newline at end of file diff --git a/test/final_exp1/low/best/third.yaml b/test/final_exp1/low/best/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e6f174c01d9c9fddf4bc0955be56fba5b0782570 --- /dev/null +++ b/test/final_exp1/low/best/third.yaml @@ -0,0 +1,33 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: best-bert-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 2 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1, 512] + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/default/config b/test/final_exp1/low/default/config new file mode 100644 index 0000000000000000000000000000000000000000..ca99311f06c6dcb7f5c265326d87f9c208faa8c7 --- /dev/null +++ b/test/final_exp1/low/default/config @@ -0,0 +1,17 @@ +version: v1 +flags: + migStrategy: "none" + failOnInitError: true + nvidiaDriverRoot: "/" + plugin: + passDeviceSpecs: false + deviceListStrategy: envvar + deviceIDStrategy: uuid +sharing: + timeSlicing: + resources: + - name: nvidia.com/gpu + replicas: 2 + +kubectl lable node xxx nvidia.com/device-plugin.config=v100-config + diff --git a/test/final_exp1/low/default/default.csv b/test/final_exp1/low/default/default.csv new file mode 100644 index 0000000000000000000000000000000000000000..2b3f173b0436a9b1c4332c94fc2f1b3cfad8a014 --- /dev/null +++ b/test/final_exp1/low/default/default.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,bert,default-bert-pod-65-1-1,2023-10-30T15:34:16Z,2023-10-30T17:04:47Z,5431 +dell-65,1,bert,default-bert-pod-65-3-1,2023-10-30T15:34:25Z,2023-10-30T17:04:47Z,5422 +dell-65,2,bert,default-bert-pod-65-2-2,2023-10-30T15:34:17Z,2023-10-30T17:03:50Z,5373 +dell-65,2,bert,default-bert-pod-65-4-2,2023-10-30T15:34:23Z,2023-10-30T17:03:50Z,5367 +dell-65,3,deepctr,default-deepctr-pod-65-1-3,2023-10-30T15:34:19Z,2023-10-30T16:28:57Z,3278 +dell-65,3,deepctr,default-deepctr-pod-65-3-3,2023-10-30T15:34:18Z,2023-10-30T16:28:56Z,3278 +dell-65,4,deepctr,default-deepctr-pod-66-2-4,2023-10-30T15:34:24Z,2023-10-30T16:28:55Z,3271 +dell-65,4,deepctr,default-deepctr-pod-68-4-4,2023-10-30T15:34:22Z,2023-10-30T16:29:15Z,3293 +dell-66,1,bert,default-bert-pod-66-1-1,2023-10-30T15:34:10Z,2023-10-30T16:54:54Z,4844 +dell-66,1,bert,default-bert-pod-66-3-1,2023-10-30T15:34:22Z,2023-10-30T16:55:27Z,4865 +dell-66,2,bert,default-bert-pod-66-2-2,2023-10-30T15:34:12Z,2023-10-30T17:03:10Z,5338 +dell-66,2,bert,default-bert-pod-66-4-2,2023-10-30T15:34:18Z,2023-10-30T17:03:10Z,5332 +dell-66,3,deepctr,default-deepctr-pod-66-1-3,2023-10-30T15:34:14Z,2023-10-30T16:29:23Z,3309 +dell-66,3,deepctr,default-deepctr-pod-66-3-3,2023-10-30T15:34:20Z,2023-10-30T16:29:30Z,3310 +dell-66,4,deepctr,default-deepctr-pod-66-2-4,2023-10-30T15:34:24Z,2023-10-30T16:28:55Z,3271 +dell-66,4,deepctr,default-deepctr-pod-66-4-4,2023-10-30T15:34:24Z,2023-10-30T16:28:55Z,3271 +dell-67,1,bert,default-bert-pod-67-1-1,2023-10-30T15:34:22Z,2023-10-30T17:08:50Z,5668 +dell-67,1,bert,default-bert-pod-67-3-1,2023-10-30T15:34:23Z,2023-10-30T17:08:50Z,5667 +dell-67,2,bert,default-bert-pod-67-2-2,2023-10-30T15:34:21Z,2023-10-30T17:08:10Z,5629 +dell-67,2,bert,default-bert-pod-67-4-2,2023-10-30T15:34:20Z,2023-10-30T17:08:10Z,5630 +dell-67,3,deepctr,default-deepctr-pod-67-1-3,2023-10-30T15:34:28Z,2023-10-30T16:29:12Z,3284 +dell-67,3,deepctr,default-deepctr-pod-67-3-3,2023-10-30T15:34:26Z,2023-10-30T16:29:09Z,3283 +dell-67,4,deepctr,default-deepctr-pod-67-2-4,2023-10-30T15:34:21Z,2023-10-30T16:29:18Z,3297 +dell-67,4,deepctr,default-deepctr-pod-67-4-4,2023-10-30T15:34:25Z,2023-10-30T16:29:17Z,3292 +dell-68,2,bert,default-bert-pod-68-2-2,2023-10-30T15:34:21Z,2023-10-30T17:07:07Z,5566 +dell-68,2,bert,default-bert-pod-68-4-2,2023-10-30T15:34:25Z,2023-10-30T17:07:07Z,5562 +dell-68,3,deepctr,default-deepctr-pod-68-1-3,2023-10-30T15:34:21Z,2023-10-30T16:29:12Z,3291 +dell-68,3,deepctr,default-deepctr-pod-68-3-3,2023-10-30T15:34:27Z,2023-10-30T16:29:16Z,3289 +dell-68,4,deepctr,default-deepctr-pod-68-2-4,2023-10-30T15:34:24Z,2023-10-30T16:29:16Z,3292 +dell-68,4,deepctr,default-deepctr-pod-68-4-4,2023-10-30T15:34:22Z,2023-10-30T16:29:15Z,3263 \ No newline at end of file diff --git a/test/final_exp1/low/default/default65.yaml b/test/final_exp1/low/default/default65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1dd25bbccef75d424313273bb7690758f1065fdd --- /dev/null +++ b/test/final_exp1/low/default/default65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-65-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/default/default66.yaml b/test/final_exp1/low/default/default66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4dc1005f0aaf1fcb684b354fd3e59248270d889f --- /dev/null +++ b/test/final_exp1/low/default/default66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-66-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/default/default67.yaml b/test/final_exp1/low/default/default67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c2f0f9a3bb1774d717873a2d87a6196b98722dda --- /dev/null +++ b/test/final_exp1/low/default/default67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-67-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/default/default68.yaml b/test/final_exp1/low/default/default68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..44d465da5332b5388b06634da38d4e4007c6cf93 --- /dev/null +++ b/test/final_exp1/low/default/default68.yaml @@ -0,0 +1,247 @@ +# apiVersion: v1 +# kind: Pod +# metadata: +# name: default-resnet-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: default-resnet-pod-68-3-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-resnet-pod-68-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-deepctr-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/default/default_low.csv b/test/final_exp1/low/default/default_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..c20d75e4292f992b49bec3380f3a2a0265c2eb65 --- /dev/null +++ b/test/final_exp1/low/default/default_low.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,resnet,default-resnet-pod-65-1-1,2023-11-01T11:34:30Z,2023-11-01T12:17:49Z,2599.0 +dell-65,1,resnet,default-resnet-pod-65-3-1,2023-11-01T11:34:29Z,2023-11-01T12:17:50Z,2601.0 +dell-65,2,resnet,default-resnet-pod-65-2-2,2023-11-01T11:34:34Z,2023-11-01T12:17:54Z,2600.0 +dell-65,2,resnet,default-resnet-pod-65-4-2,2023-11-01T11:34:37Z,2023-11-01T12:17:58Z,2601.0 +dell-65,3,deepctr,default-deepctr-pod-65-1-3,2023-11-01T11:34:35Z,2023-11-01T12:40:33Z,3958.0 +dell-65,3,deepctr,default-deepctr-pod-65-3-3,2023-11-01T11:34:28Z,2023-11-01T12:40:27Z,3959.0 +dell-65,4,deepctr,default-deepctr-pod-65-2-4,2023-11-01T11:34:31Z,2023-11-01T12:40:19Z,3948.0 +dell-65,4,deepctr,default-deepctr-pod-65-4-4,2023-11-01T11:34:29Z,2023-11-01T12:40:09Z,3940.0 +dell-66,1,resnet,default-resnet-pod-66-1-1,2023-11-01T11:34:21Z,2023-11-01T12:24:23Z,3002.0 +dell-66,1,resnet,default-resnet-pod-66-3-1,2023-11-01T11:34:28Z,2023-11-01T12:24:05Z,2977.0 +dell-66,2,resnet,default-resnet-pod-66-2-2,2023-11-01T11:34:23Z,2023-11-01T12:23:30Z,2947.0 +dell-66,2,resnet,default-resnet-pod-66-4-2,2023-11-01T11:34:35Z,2023-11-01T12:23:57Z,2962.0 +dell-66,3,deepctr,default-deepctr-pod-66-1-3,2023-11-01T11:34:26Z,2023-11-01T12:43:49Z,4163.0 +dell-66,3,deepctr,default-deepctr-pod-66-3-3,2023-11-01T11:34:32Z,2023-11-01T12:44:07Z,4175.0 +dell-66,4,deepctr,default-deepctr-pod-66-2-4,2023-11-01T11:34:33Z,2023-11-01T12:43:35Z,4142.0 +dell-66,4,deepctr,default-deepctr-pod-66-4-4,2023-11-01T11:34:30Z,2023-11-01T12:43:32Z,4142.0 +dell-67,1,resnet,default-resnet-pod-67-1-1,2023-11-01T11:34:32Z,2023-11-01T12:23:39Z,2947.0 +dell-67,1,resnet,default-resnet-pod-67-3-1,2023-11-01T11:34:37Z,2023-11-01T12:23:43Z,2946.0 +dell-67,2,resnet,default-resnet-pod-67-2-2,2023-11-01T11:34:29Z,2023-11-01T12:23:41Z,2952.0 +dell-67,2,resnet,default-resnet-pod-67-4-2,2023-11-01T11:34:34Z,2023-11-01T12:23:17Z,2923.0 +dell-67,3,deepctr,default-deepctr-pod-67-1-3,2023-11-01T11:34:31Z,2023-11-01T12:43:12Z,4121.0 +dell-67,3,deepctr,default-deepctr-pod-67-3-3,2023-11-01T11:34:39Z,2023-11-01T12:43:20Z,4121.0 +dell-67,4,deepctr,default-deepctr-pod-67-2-4,2023-11-01T11:34:36Z,2023-11-01T12:43:49Z,4153.0 +dell-67,4,deepctr,default-deepctr-pod-67-4-4,2023-11-01T11:34:41Z,2023-11-01T12:43:54Z,4153.0 +dell-68,2,resnet,default-resnet-pod-68-2-2,2023-11-01T11:34:41Z,2023-11-01T12:24:10Z,2969.0 +dell-68,2,resnet,default-resnet-pod-68-4-2,2023-11-01T11:34:42Z,2023-11-01T12:24:10Z,2968.0 +dell-68,3,deepctr,default-deepctr-pod-68-1-3,2023-11-01T11:34:42Z,2023-11-01T12:44:31Z,4189.0 +dell-68,3,deepctr,default-deepctr-pod-68-3-3,2023-11-01T11:34:43Z,2023-11-01T12:44:32Z,4189.0 +dell-68,4,deepctr,default-deepctr-pod-68-2-4,2023-11-01T11:34:42Z,2023-11-01T12:43:56Z,4154.0 +dell-68,4,deepctr,default-deepctr-pod-68-4-4,2023-11-01T11:34:44Z,2023-11-01T12:44:00Z,4156.0 diff --git a/test/final_exp1/low/default/first.yaml b/test/final_exp1/low/default/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bdcae6a167ab562fe54c38d0ad90ef81030da3d4 --- /dev/null +++ b/test/final_exp1/low/default/first.yaml @@ -0,0 +1,55 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: Pod +metadata: + name: default-bert-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 2 + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: Pod +metadata: + name: default-deepfm-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 2 + template: + spec: + containers: + - name: deepfm + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + [ + "-c", + "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/", + ] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/default/second.yaml b/test/final_exp1/low/default/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d26ec522f96ff23947d9a9d45cd42f95ad034f0c --- /dev/null +++ b/test/final_exp1/low/default/second.yaml @@ -0,0 +1,25 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: Pod +metadata: + name: default-bert-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 2 + template: + spec: + containers: + - name: bert + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/default/start.sh b/test/final_exp1/low/default/start.sh new file mode 100755 index 0000000000000000000000000000000000000000..e90428dc77966e6e8716980c9a771832df9907a7 --- /dev/null +++ b/test/final_exp1/low/default/start.sh @@ -0,0 +1,5 @@ +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml +sleep 5 +kubectl apply -f third.yaml diff --git a/test/final_exp1/low/default/third.yaml b/test/final_exp1/low/default/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d7513f79c8c8b7ca53730dbf18e1014e46a2865e --- /dev/null +++ b/test/final_exp1/low/default/third.yaml @@ -0,0 +1,29 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: Pod +metadata: + name: default-deepfm-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 2 + template: + spec: + containers: + - name: deepfm + image: harbor.act.buaa.edu.cn/k8s-manager/pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: + [ + "-c", + "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/", + ] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp1/low/horus/first.yaml b/test/final_exp1/low/horus/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..135a111db3fe04d67fe721e1fc10cb9b961dab4c --- /dev/null +++ b/test/final_exp1/low/horus/first.yaml @@ -0,0 +1,71 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-yaml-with-data-set + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/forth.yaml b/test/final_exp1/low/horus/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ab96fa0a2a2a001f50b37a95beabff3b53073953 --- /dev/null +++ b/test/final_exp1/low/horus/forth.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-yaml-with-data-set-3 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/horus.csv b/test/final_exp1/low/horus/horus.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef8536b115ab3593f01403484d19e6e8c58b46e8 --- /dev/null +++ b/test/final_exp1/low/horus/horus.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,bert,horus-bert-pod-65-1-1,2023-10-30T13:39:55Z,2023-10-30T15:16:38Z,5858 +dell-65,1,bert,horus-bert-pod-65-3-1,2023-10-30T13:39:55Z,2023-10-30T15:16:38Z,5858 +dell-65,2,bert,horus-bert-pod-65-2-2,2023-10-30T13:39:58Z,2023-10-30T14:56:41Z,4603 +dell-65,2,deepctr,horus-deepctr-pod-65-3-2,2023-10-30T13:39:54Z,2023-10-30T14:27:30Z,2856 +dell-65,3,bert,horus-bert-pod-65-4-3,2023-10-30T13:39:55Z,2023-10-30T14:56:41Z,4606 +dell-65,3,deepctr,horus-deepctr-pod-66-1-3,2023-10-30T13:39:52Z,2023-10-30T14:28:57Z,2945 +dell-65,4,deepctr,horus-deepctr-pod-65-2-4,2023-10-30T13:39:54Z,2023-10-30T14:34:01Z,3247 +dell-65,4,deepctr,horus-deepctr-pod-68-4-4,2023-10-30T13:40:01Z,2023-10-30T14:34:42Z,3281 +dell-66,1,bert,horus-bert-pod-66-1-1,2023-10-30T13:39:48Z,2023-10-30T15:21:27Z,6099 +dell-66,1,bert,horus-bert-pod-66-3-1,2023-10-30T13:39:56Z,2023-10-30T15:21:27Z,6091 +dell-66,2,bert,horus-bert-pod-66-2-2,2023-10-30T13:39:50Z,2023-10-30T14:47:20Z,4050 +dell-66,2,deepctr,horus-deepctr-pod-66-3-2,2023-10-30T13:39:58Z,2023-10-30T14:30:17Z,3019 +dell-66,3,bert,horus-bert-pod-66-4-3,2023-10-30T13:39:54Z,2023-10-30T14:50:57Z,4263 +dell-66,3,deepctr,horus-deepctr-pod-66-1-3,2023-10-30T13:39:52Z,2023-10-30T14:28:57Z,2945 +dell-66,4,deepctr,horus-deepctr-pod-66-2-4,2023-10-30T13:40:00Z,2023-10-30T14:34:54Z,3294 +dell-66,4,deepctr,horus-deepctr-pod-66-4-4,2023-10-30T13:40:02Z,2023-10-30T14:34:56Z,3294 +dell-67,1,bert,horus-bert-pod-67-1-1,2023-10-30T13:40:06Z,2023-10-30T15:23:53Z,6227 +dell-67,1,bert,horus-bert-pod-67-3-1,2023-10-30T13:39:59Z,2023-10-30T15:23:53Z,6234 +dell-67,2,bert,horus-bert-pod-67-2-2,2023-10-30T13:39:57Z,2023-10-30T15:08:31Z,5314 +dell-67,2,deepctr,horus-deepctr-pod-67-3-2,2023-10-30T13:39:58Z,2023-10-30T14:24:04Z,2646 +dell-67,3,bert,horus-bert-pod-67-4-3,2023-10-30T13:40:03Z,2023-10-30T15:08:32Z,5309 +dell-67,3,deepctr,horus-deepctr-pod-67-1-3,2023-10-30T13:40:07Z,2023-10-30T14:24:25Z,2658 +dell-67,4,deepctr,horus-deepctr-pod-67-2-4,2023-10-30T13:40:01Z,2023-10-30T14:34:57Z,3296 +dell-67,4,deepctr,horus-deepctr-pod-67-4-4,2023-10-30T13:40:04Z,2023-10-30T14:35:00Z,3296 +dell-68,2,bert,horus-bert-pod-68-2-2,2023-10-30T13:40:01Z,2023-10-30T15:05:07Z,5106 +dell-68,2,deepctr,horus-deepctr-pod-68-3-2,2023-10-30T13:40:02Z,2023-10-30T14:25:03Z,2701 +dell-68,3,bert,horus-bert-pod-68-4-3,2023-10-30T13:40:03Z,2023-10-30T15:05:07Z,5104 +dell-68,3,deepctr,horus-deepctr-pod-68-1-3,2023-10-30T13:40:02Z,2023-10-30T14:26:56Z,2814 +dell-68,4,deepctr,horus-deepctr-pod-68-2-4,2023-10-30T13:40:02Z,2023-10-30T14:34:41Z,3279 +dell-68,4,deepctr,horus-deepctr-pod-68-4-4,2023-10-30T13:40:01Z,2023-10-30T14:34:42Z,3281 \ No newline at end of file diff --git a/test/final_exp1/low/horus/horus65.yaml b/test/final_exp1/low/horus/horus65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..926dd39b6ca51522294cf71de38c78d9ff3a3fab --- /dev/null +++ b/test/final_exp1/low/horus/horus65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-65-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/horus66.yaml b/test/final_exp1/low/horus/horus66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b8ffef2d7cac1dd29b08eb5b83d61c919da761b6 --- /dev/null +++ b/test/final_exp1/low/horus/horus66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-66-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/horus67.yaml b/test/final_exp1/low/horus/horus67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..21792db1714681c768e14f4c2542d1bb2ae381eb --- /dev/null +++ b/test/final_exp1/low/horus/horus67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-67-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/horus68.yaml b/test/final_exp1/low/horus/horus68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1a7e28939e5df50607fcf992ad67059947d547a5 --- /dev/null +++ b/test/final_exp1/low/horus/horus68.yaml @@ -0,0 +1,247 @@ +# apiVersion: v1 +# kind: Pod +# metadata: +# name: horus-resnet-pod-68-1-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-1-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-2-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +# --- +# apiVersion: v1 +# kind: Pod +# metadata: +# name: horus-resnet-pod-68-3-1 +# namespace: user-lpx +# annotations: +# kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +# spec: +# restartPolicy: Never +# containers: +# - name: resnet +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python resnet50.py"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# env: +# - name: NVIDIA_VISIBLE_DEVICES +# value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 +# volumeMounts: +# - mountPath: /data +# name: dl-train +# nodeSelector: +# kubernetes.io/hostname: dell-68 +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-resnet-pod-68-4-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: resnet + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-3-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: horus-deepctr-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/horus_low.csv b/test/final_exp1/low/horus/horus_low.csv new file mode 100644 index 0000000000000000000000000000000000000000..1aa8c6c1eb3fef9342546316fc907e1bdc696455 --- /dev/null +++ b/test/final_exp1/low/horus/horus_low.csv @@ -0,0 +1,31 @@ +node,gpu,model,pod,start_time,end_time,jct +dell-65,1,resnet,horus-resnet-pod-65-1-1,2023-11-01T08:27:33Z,2023-11-01T09:10:59Z,2606.0 +dell-65,1,resnet,horus-resnet-pod-65-3-1,2023-11-01T08:27:29Z,2023-11-01T09:10:56Z,2607.0 +dell-65,2,resnet,horus-resnet-pod-65-2-2,2023-11-01T08:27:26Z,2023-11-01T09:06:24Z,2338.0 +dell-65,2,deepctr,horus-deepctr-pod-65-3-2,2023-11-01T08:27:27Z,2023-11-01T09:21:57Z,3270.0 +dell-65,3,resnet,horus-resnet-pod-65-4-3,2023-11-01T08:27:27Z,2023-11-01T09:06:49Z,2362.0 +dell-65,3,deepctr,horus-deepctr-pod-65-1-3,2023-11-01T08:27:26Z,2023-11-01T09:22:18Z,3292.0 +dell-65,4,deepctr,horus-deepctr-pod-65-2-4,2023-11-01T08:27:26Z,2023-11-01T09:33:02Z,3936.0 +dell-65,4,deepctr,horus-deepctr-pod-65-4-4,2023-11-01T08:27:31Z,2023-11-01T09:33:06Z,3935.0 +dell-66,1,resnet,horus-resnet-pod-66-1-1,2023-11-01T08:27:12Z,2023-11-01T09:17:42Z,3030.0 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+dell-67,2,deepctr,horus-deepctr-pod-67-3-2,2023-11-01T08:27:27Z,2023-11-01T09:27:48Z,3621.0 +dell-67,3,resnet,horus-resnet-pod-67-4-3,2023-11-01T08:27:23Z,2023-11-01T09:15:50Z,2907.0 +dell-67,3,deepctr,horus-deepctr-pod-67-1-3,2023-11-01T08:27:21Z,2023-11-01T09:27:50Z,3629.0 +dell-67,4,deepctr,horus-deepctr-pod-67-2-4,2023-11-01T08:27:22Z,2023-11-01T09:36:40Z,4158.0 +dell-67,4,deepctr,horus-deepctr-pod-67-4-4,2023-11-01T08:27:25Z,2023-11-01T09:36:43Z,4158.0 +dell-68,2,resnet,horus-resnet-pod-68-2-2,2023-11-01T08:27:21Z,2023-11-01T09:17:08Z,2987.0 +dell-68,2,deepctr,horus-deepctr-pod-68-3-2,2023-11-01T08:27:20Z,2023-11-01T09:27:48Z,3628.0 +dell-68,3,resnet,horus-resnet-pod-68-4-3,2023-11-01T08:27:25Z,2023-11-01T09:16:41Z,2956.0 +dell-68,3,deepctr,horus-deepctr-pod-68-1-3,2023-11-01T08:27:21Z,2023-11-01T09:27:35Z,3614.0 +dell-68,4,deepctr,horus-deepctr-pod-68-2-4,2023-11-01T08:27:23Z,2023-11-01T09:36:40Z,4157.0 +dell-68,4,deepctr,horus-deepctr-pod-68-4-4,2023-11-01T08:27:27Z,2023-11-01T09:36:42Z,4155.0 diff --git a/test/final_exp1/low/horus/second.yaml b/test/final_exp1/low/horus/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f112ba79011a77eaffa52a4e053ad30dc39da68b --- /dev/null +++ b/test/final_exp1/low/horus/second.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [15000000,3000000,10000000,6000000,8000000,300000,200000] + embedding_dim: [16,16,16,16,16,16,16] + input_tensor: [1,39] + datasets: + - name: deepctr-dataset + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr/; python run_deepfm_low.py --batch_size=32 --embedding_dim=16 --data_dir=/data/data/deepctr/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/low/horus/start.sh b/test/final_exp1/low/horus/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..5680c83996cbfa6d20ac043e4a4ba07f293763cf --- /dev/null +++ b/test/final_exp1/low/horus/start.sh @@ -0,0 +1,7 @@ +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml +sleep 5 +kubectl apply -f third.yaml +sleep 5 +kubectl apply -f forth.yaml \ No newline at end of file diff --git a/test/final_exp1/low/horus/third.yaml b/test/final_exp1/low/horus/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4be95d32730a3fad9bfb4a2ff4a6b9c901582e24 --- /dev/null +++ b/test/final_exp1/low/horus/third.yaml @@ -0,0 +1,35 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-yaml-with-data-set-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + input_tensor: [1,512] + datasets: + - name: bert-dataset + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert/; python resnet50.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp1/query_util.py b/test/final_exp1/query_util.py new file mode 100644 index 0000000000000000000000000000000000000000..a12d29738987e96c32bbfff26401e858dd99e514 --- /dev/null +++ b/test/final_exp1/query_util.py @@ -0,0 +1,77 @@ +import requests +import argparse + +# 配置部分 +WINDOW_MINUTES = 2 + +# 查询query +PROMETHEUS_URL = "http://192.168.5.60:31110/" # Prometheus 服务器地址 +QUERYCPU = f''' +label_replace( + sum by (node) ( + irate(container_cpu_usage_seconds_total{{container!="",node=~".*"}}[{WINDOW_MINUTES}m]) + ) + / + sum by (node) ( + kube_node_status_allocatable{{resource="cpu", unit="core", node=~".*"}} + ), + "Hostname", "$1", "node", "(.*)" +) +''' + # PromQL 查询语句 +QUERYGPU = f''' + avg by (instance,Hostname) ( + max_over_time(DCGM_FI_DEV_GPU_UTIL[{WINDOW_MINUTES}m]) + - + min_over_time(DCGM_FI_DEV_GPU_UTIL[{WINDOW_MINUTES}m]) + ) +''' + +def query_prometheus(url, query): + """发送 query 请求到 Prometheus 并返回结果""" + full_url = f"{url.rstrip('/')}/api/v1/query" + params = {"query": query} + try: + response = requests.get(full_url, params=params) + response.raise_for_status() + result = response.json() + + if result["status"] != "success": + print("查询失败:", result) + return None + + return result["data"]["result"] + except Exception as e: + print(f"请求失败: {e}") + return None + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Prometheus Query Script") + parser.add_argument("--time", type=int, required=False, default=120, help="window time seconds") + args = parser.parse_args() + WINDOW_MINUTES = args.time // 60 + + CResults = query_prometheus(PROMETHEUS_URL, QUERYCPU) + + GResults = query_prometheus(PROMETHEUS_URL, QUERYGPU) + res = {} + if CResults and GResults: + print("查询结果:") + for item in CResults: + if item["metric"]["Hostname"] not in res.keys(): + res[item["metric"]["Hostname"]] = {} + res[item["metric"]["Hostname"]]["CPU_UTIL"] = '0' + res[item["metric"]["Hostname"]]["GPU_UTIL"] = '0' + res[item["metric"]["Hostname"]]["CPU_UTIL"] = str(float(item["value"][1]) * 100)[:4] + for item in GResults: + if item["metric"]["Hostname"] not in res.keys(): + res[item["metric"]["Hostname"]] = {} + res[item["metric"]["Hostname"]]["CPU_UTIL"] = '0' + res[item["metric"]["Hostname"]]["GPU_UTIL"] = '0' + res[item["metric"]["Hostname"]]["GPU_UTIL"] = item["value"][1] + print("node" + " " + "CPU_UTIL" + " " + "GPU_UTIL") + for item in res.keys(): + print(item + " " + res[item]["CPU_UTIL"] + " " + res[item]["GPU_UTIL"]) + else: + print("无查询结果或查询失败。") + diff --git a/test/final_exp1/ras.yaml b/test/final_exp1/ras.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f17e7ed8c320305bbed4560e0afacbeff6a8ea40 --- /dev/null +++ b/test/final_exp1/ras.yaml @@ -0,0 +1,30 @@ +apiVersion: v1 +kind: Pod +metadata: + name: deepctr-pod-65 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: bert + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/best/best65.yaml b/test/final_exp2/best/best65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..443aaba882036a444d3d03ddc510e83008fe1af6 --- /dev/null +++ b/test/final_exp2/best/best65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-1-1.txt' --latency_file='/data/code/deepctr/latency-best-65-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-2-2.txt' --latency_file='/data/code/deepctr/latency-best-65-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-3-3.txt' --latency_file='/data/code/deepctr/latency-best-65-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-4-4.txt' --latency_file='/data/code/deepctr/latency-best-65-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-5-1.txt' --latency_file='/data/code/deepctr/latency-best-65-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-6-2.txt' --latency_file='/data/code/deepctr/latency-best-65-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-7-3.txt' --latency_file='/data/code/deepctr/latency-best-65-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-65-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-65-8-4.txt' --latency_file='/data/code/deepctr/latency-best-65-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/best/best66.yaml b/test/final_exp2/best/best66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e466fc3628fb863c71ff191a0812e91ad4ef7571 --- /dev/null +++ b/test/final_exp2/best/best66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-1-1.txt' --latency_file='/data/code/deepctr/latency-best-66-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-2-2.txt' --latency_file='/data/code/deepctr/latency-best-66-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-3-3.txt' --latency_file='/data/code/deepctr/latency-best-66-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-4-4.txt' --latency_file='/data/code/deepctr/latency-best-66-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-5-1.txt' --latency_file='/data/code/deepctr/latency-best-66-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-6-2.txt' --latency_file='/data/code/deepctr/latency-best-66-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-7-3.txt' --latency_file='/data/code/deepctr/latency-best-66-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-66-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-66-8-4.txt' --latency_file='/data/code/deepctr/latency-best-66-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/best/best67.yaml b/test/final_exp2/best/best67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a42efb05d366730b1ad78d64bd6c8bf77abaeedf --- /dev/null +++ b/test/final_exp2/best/best67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-1-1.txt' --latency_file='/data/code/deepctr/latency-best-67-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-2-2.txt' --latency_file='/data/code/deepctr/latency-best-67-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-3-3.txt' --latency_file='/data/code/deepctr/latency-best-67-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-4-4.txt' --latency_file='/data/code/deepctr/latency-best-67-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-5-1.txt' --latency_file='/data/code/deepctr/latency-best-67-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-6-2.txt' --latency_file='/data/code/deepctr/latency-best-67-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-7-3.txt' --latency_file='/data/code/deepctr/latency-best-67-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-67-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-67-8-4.txt' --latency_file='/data/code/deepctr/latency-best-67-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/best/best68.yaml b/test/final_exp2/best/best68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d3716f5e27db7ce9da420ef3473d7fc275f90ee2 --- /dev/null +++ b/test/final_exp2/best/best68.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-1-1.txt' --latency_file='/data/code/deepctr/latency-best-68-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-2-2.txt' --latency_file='/data/code/deepctr/latency-best-68-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-3-3.txt' --latency_file='/data/code/deepctr/latency-best-68-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-4-4.txt' --latency_file='/data/code/deepctr/latency-best-68-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-5-1.txt' --latency_file='/data/code/deepctr/latency-best-68-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-6-2.txt' --latency_file='/data/code/deepctr/latency-best-68-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-7-3.txt' --latency_file='/data/code/deepctr/latency-best-68-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: best-not-end2end-pod-68-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-best-68-8-4.txt' --latency_file='/data/code/deepctr/latency-best-68-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/best/embedding.yaml b/test/final_exp2/best/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f37e747e2061a0c2de3a50f1e1100e0197624f2b --- /dev/null +++ b/test/final_exp2/best/embedding.yaml @@ -0,0 +1,33 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-68 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-68 +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp2/default/default65.yaml b/test/final_exp2/default/default65.yaml new file mode 100644 index 0000000000000000000000000000000000000000..25b0d8e8e773cd10547574275b1dd1df19b0bc41 --- /dev/null +++ b/test/final_exp2/default/default65.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-1-1.txt' --latency_file='/data/code/deepctr/latency-default-65-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-2-2.txt' --latency_file='/data/code/deepctr/latency-default-65-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-3-3.txt' --latency_file='/data/code/deepctr/latency-default-65-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-4-4.txt' --latency_file='/data/code/deepctr/latency-default-65-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-5-1.txt' --latency_file='/data/code/deepctr/latency-default-65-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5ae611af-8174-c5e5-7db2-d7fe2ec69ec1 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-6-2.txt' --latency_file='/data/code/deepctr/latency-default-65-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-01707108-c8af-0c59-683e-245462fe241b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-7-3.txt' --latency_file='/data/code/deepctr/latency-default-65-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5bc4ac6f-8eb5-e999-bc7e-5bd9b20c1a1d + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-65-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-65-8-4.txt' --latency_file='/data/code/deepctr/latency-default-65-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-60f7bcda-4431-1320-0928-f3271e24c8e7 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-65 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/default/default66.yaml b/test/final_exp2/default/default66.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6885ff29b7ff80c951ae6616ac49485e8249b1f5 --- /dev/null +++ b/test/final_exp2/default/default66.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-1-1.txt' --latency_file='/data/code/deepctr/latency-default-66-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-2-2.txt' --latency_file='/data/code/deepctr/latency-default-66-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-3-3.txt' --latency_file='/data/code/deepctr/latency-default-66-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-4-4.txt' --latency_file='/data/code/deepctr/latency-default-66-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-5-1.txt' --latency_file='/data/code/deepctr/latency-default-66-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-cbfc32bf-f5be-46b3-f30f-21b77a14b20a + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-6-2.txt' --latency_file='/data/code/deepctr/latency-default-66-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d6bd0100-936b-d60f-0ade-5fa1d4eba9fc + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-7-3.txt' --latency_file='/data/code/deepctr/latency-default-66-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-2d2ca9d3-1eb2-a56c-ca34-e708df75631b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-66-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-66-8-4.txt' --latency_file='/data/code/deepctr/latency-default-66-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1855988a-54ca-41c3-c62b-9d1996471e21 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-66 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/default/default67.yaml b/test/final_exp2/default/default67.yaml new file mode 100644 index 0000000000000000000000000000000000000000..73ef274118e04ee6c43b39686cacd2a34d23e8ec --- /dev/null +++ b/test/final_exp2/default/default67.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-1-1.txt' --latency_file='/data/code/deepctr/latency-default-67-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-2-2.txt' --latency_file='/data/code/deepctr/latency-default-67-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-3-3.txt' --latency_file='/data/code/deepctr/latency-default-67-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-4-4.txt' --latency_file='/data/code/deepctr/latency-default-67-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-5-1.txt' --latency_file='/data/code/deepctr/latency-default-67-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4b03b0b3-765b-05b9-f04f-a841df3ac578 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-6-2.txt' --latency_file='/data/code/deepctr/latency-default-67-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-b30d16be-cd77-ef6a-bd27-ba2f0cd97267 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-7-3.txt' --latency_file='/data/code/deepctr/latency-default-67-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-1655bfab-a60b-3b97-7f2b-59dad2e0d088 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-67-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-67-8-4.txt' --latency_file='/data/code/deepctr/latency-default-67-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-5a51526f-bffa-b9d5-1dd5-346fe90b5abf + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-67 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/default/default68.yaml b/test/final_exp2/default/default68.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3d233fa1710ae52c79941d4b84f0095ab6c93ec8 --- /dev/null +++ b/test/final_exp2/default/default68.yaml @@ -0,0 +1,247 @@ +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-1-1.txt' --latency_file='/data/code/deepctr/latency-default-68-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-2-2.txt' --latency_file='/data/code/deepctr/latency-default-68-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-3-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-3-3.txt' --latency_file='/data/code/deepctr/latency-default-68-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-4-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-4-4.txt' --latency_file='/data/code/deepctr/latency-default-68-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-5-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-5-1.txt' --latency_file='/data/code/deepctr/latency-default-68-5-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-22bd0d7b-83e4-b6ab-6a75-5ac5164cf1d8 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-6-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-6-2.txt' --latency_file='/data/code/deepctr/latency-default-68-6-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-21244380-1823-0bb9-e43e-13a9a86eac63 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-7-3 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-7-3.txt' --latency_file='/data/code/deepctr/latency-default-68-7-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-9abdb713-e3e5-4116-0291-afdf28d9ab6e + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: default-not-end2end-pod-68-8-4 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-default-68-8-4.txt' --latency_file='/data/code/deepctr/latency-default-68-8-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-4dacd256-cad0-573b-f421-0a3e8ac2e153 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-68 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp2/default/embedding.yaml b/test/final_exp2/default/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fa01b812fd618d8b7ca4075e9f79face774bf090 --- /dev/null +++ b/test/final_exp2/default/embedding.yaml @@ -0,0 +1,33 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-63 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-63 +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp2/worst/embedding.yaml b/test/final_exp2/worst/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f37e747e2061a0c2de3a50f1e1100e0197624f2b --- /dev/null +++ b/test/final_exp2/worst/embedding.yaml @@ -0,0 +1,33 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-68 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-68 +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp2/worst/worst61.yaml b/test/final_exp2/worst/worst61.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a206e2d24d6ee9ecd184f6ab9155e394b2c3976a --- /dev/null +++ b/test/final_exp2/worst/worst61.yaml @@ -0,0 +1,123 @@ +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-61-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-61-1-1.txt' --latency_file='/data/code/deepctr/latency-worst-61-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d56a5477-a272-1015-2874-ccc9340aaeab + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-61 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-61-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-61-2-2.txt' --latency_file='/data/code/deepctr/latency-worst-61-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-7365833d-66ef-ef57-74f9-8c5d844d54f2 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-61 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-61-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-61-3-3.txt' --latency_file='/data/code/deepctr/latency-worst-61-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-d56a5477-a272-1015-2874-ccc9340aaeab + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-61 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-61-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-61-4-4.txt' --latency_file='/data/code/deepctr/latency-worst-61-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-7365833d-66ef-ef57-74f9-8c5d844d54f2 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-61 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp2/worst/worst62.yaml b/test/final_exp2/worst/worst62.yaml new file mode 100644 index 0000000000000000000000000000000000000000..67251001e8130d73c560f7d560d8dcf66c43cd66 --- /dev/null +++ b/test/final_exp2/worst/worst62.yaml @@ -0,0 +1,123 @@ +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-62-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-62-1-1.txt' --latency_file='/data/code/deepctr/latency-worst-62-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-f57fcefb-a830-f210-576f-c3960a655794 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-62 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-62-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-62-2-2.txt' --latency_file='/data/code/deepctr/latency-worst-62-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-ea4d5e00-d259-d422-bef0-9e65cc2f31fa + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-62 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-62-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-62-3-3.txt' --latency_file='/data/code/deepctr/latency-worst-62-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-f57fcefb-a830-f210-576f-c3960a655794 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-62 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-62-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-62-4-4.txt' --latency_file='/data/code/deepctr/latency-worst-62-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-ea4d5e00-d259-d422-bef0-9e65cc2f31fa + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-62 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp2/worst/worst64.yaml b/test/final_exp2/worst/worst64.yaml new file mode 100644 index 0000000000000000000000000000000000000000..39b6b404326ef4d0acb27d355d8c91ecffb4219e --- /dev/null +++ b/test/final_exp2/worst/worst64.yaml @@ -0,0 +1,123 @@ +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-64-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-64-1-1.txt' --latency_file='/data/code/deepctr/latency-worst-64-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-dd41b996-e5a4-0795-b048-18843bec604b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-64 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-64-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-64-2-2.txt' --latency_file='/data/code/deepctr/latency-worst-64-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-f8525b10-e569-e1c9-1f68-ee2d4b9392ac + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-64 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-64-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-64-3-3.txt' --latency_file='/data/code/deepctr/latency-worst-64-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-dd41b996-e5a4-0795-b048-18843bec604b + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-64 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-64-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-64-4-4.txt' --latency_file='/data/code/deepctr/latency-worst-64-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-f8525b10-e569-e1c9-1f68-ee2d4b9392ac + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-64 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp2/worst/worst69.yaml b/test/final_exp2/worst/worst69.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4785d03f72982a50e1f86912ba2d7b077f1c6160 --- /dev/null +++ b/test/final_exp2/worst/worst69.yaml @@ -0,0 +1,123 @@ +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-69-1-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-69-1-1.txt' --latency_file='/data/code/deepctr/latency-worst-69-1-1.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-07158423-2a57-7d89-348a-50b7e00617a9 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-69 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-69-2-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-69-2-2.txt' --latency_file='/data/code/deepctr/latency-worst-69-2-2.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-85733955-1f67-63fb-084b-c852770da8b2 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-69 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-69-3-1 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-69-3-3.txt' --latency_file='/data/code/deepctr/latency-worst-69-3-3.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-07158423-2a57-7d89-348a-50b7e00617a9 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-69 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: v1 +kind: Pod +metadata: + name: worst-not-end2end-pod-69-4-2 + namespace: user-lpx + annotations: + kube-gpu-sparse/task_info: '{"taks_id":101,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":3376,"embedding_dim_total":208,"embedding_table_count":26}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file='/data/code/deepctr/process-worst-69-4-4.txt' --latency_file='/data/code/deepctr/latency-worst-69-4-4.txt'"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + env: + - name: NVIDIA_VISIBLE_DEVICES + value: GPU-85733955-1f67-63fb-084b-c852770da8b2 + volumeMounts: + - mountPath: /data + name: dl-train + nodeSelector: + kubernetes.io/hostname: dell-69 + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp3/cache/embedding.yaml b/test/final_exp3/cache/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..067a1b4dce7ea681b36e8d45c0d900768b5e606f --- /dev/null +++ b/test/final_exp3/cache/embedding.yaml @@ -0,0 +1,37 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-68 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-68 + tolerations: + - key: "profile" + operator: "Exists" + effect: "NoSchedule" +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp3/cache/first/deploy.yaml b/test/final_exp3/cache/first/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d100bd9812df8f398272a14a0038aa32926ba10c --- /dev/null +++ b/test/final_exp3/cache/first/deploy.yaml @@ -0,0 +1,37 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: cache-not-end2end + namespace: user-lpx +spec: + replicas: 24 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-cache-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-cache-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/cache/second/deploy.yaml b/test/final_exp3/cache/second/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a0ca41c2f5301484dfbcff71c1e2aca11744a8ce --- /dev/null +++ b/test/final_exp3/cache/second/deploy.yaml @@ -0,0 +1,48 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: cache-yolov5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + datasets: + - name: yolo-dataset + dataset: + pvc: yolo-dataset + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/cache/start.sh b/test/final_exp3/cache/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..12bc83077a1cb22df0e9e2daf2731a9b943b3bf8 --- /dev/null +++ b/test/final_exp3/cache/start.sh @@ -0,0 +1,5 @@ +#!/bin/bash + +kubectl apply -f first/ +sleep 10 +kubectl apply -f second/ \ No newline at end of file diff --git a/test/final_exp3/horus/embedding.yaml b/test/final_exp3/horus/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..56fe1e91a1634f2c64a3ba3fc553042626d33b78 --- /dev/null +++ b/test/final_exp3/horus/embedding.yaml @@ -0,0 +1,37 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-63 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-63 + tolerations: + - key: "profile" + operator: "Exists" + effect: "NoSchedule" +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp3/horus/first.yaml b/test/final_exp3/horus/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7015b3cc2aeed884946e09402cfec2319b557646 --- /dev/null +++ b/test/final_exp3/horus/first.yaml @@ -0,0 +1,37 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-not-end2end-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-horus-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-horus-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/horus/forth.yaml b/test/final_exp3/horus/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..204f766c61a0f290089cec011727ef0f5dc10e41 --- /dev/null +++ b/test/final_exp3/horus/forth.yaml @@ -0,0 +1,44 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-yolov5-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/horus/second.yaml b/test/final_exp3/horus/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8623db67a5dc34d723e353bc57642324ae1a74c7 --- /dev/null +++ b/test/final_exp3/horus/second.yaml @@ -0,0 +1,44 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-yolov5-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/horus/start.sh b/test/final_exp3/horus/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..42e0d32ffd72d378d07bdf0d02e8cb50e66edd76 --- /dev/null +++ b/test/final_exp3/horus/start.sh @@ -0,0 +1,9 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 10 +kubectl apply -f second.yaml +sleep 10 +kubectl apply -f third.yaml +sleep 15 +kubectl apply -f forth.yaml diff --git a/test/final_exp3/horus/third.yaml b/test/final_exp3/horus/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..67797d2eacbd4facce36e2a6d9a3ae50ef4fdb2f --- /dev/null +++ b/test/final_exp3/horus/third.yaml @@ -0,0 +1,37 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-not-end2end-2 + namespace: user-lpx +spec: + replicas: 18 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-horus-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-horus-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/latency/first/deploy.yaml b/test/final_exp3/latency/first/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b8b0fa99dba6fe78bed6d9ef03f228b8d97d8db5 --- /dev/null +++ b/test/final_exp3/latency/first/deploy.yaml @@ -0,0 +1,37 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: latency-not-end2end + namespace: user-lpx +spec: + replicas: 24 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-latency-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-latency-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/latency/second/deploy.yaml b/test/final_exp3/latency/second/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c35e221b9b0b1b1ad654b66862ab6e8491ed0a20 --- /dev/null +++ b/test/final_exp3/latency/second/deploy.yaml @@ -0,0 +1,44 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: latency-yolov5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/latency/start.sh b/test/final_exp3/latency/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..12bc83077a1cb22df0e9e2daf2731a9b943b3bf8 --- /dev/null +++ b/test/final_exp3/latency/start.sh @@ -0,0 +1,5 @@ +#!/bin/bash + +kubectl apply -f first/ +sleep 10 +kubectl apply -f second/ \ No newline at end of file diff --git a/test/final_exp3/shared/embedding.yaml b/test/final_exp3/shared/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..56fe1e91a1634f2c64a3ba3fc553042626d33b78 --- /dev/null +++ b/test/final_exp3/shared/embedding.yaml @@ -0,0 +1,37 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-63 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-63 + tolerations: + - key: "profile" + operator: "Exists" + effect: "NoSchedule" +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp3/shared/fifth.yaml b/test/final_exp3/shared/fifth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..44199fd35de41860fb232f1bb8b388c36f955b90 --- /dev/null +++ b/test/final_exp3/shared/fifth.yaml @@ -0,0 +1,38 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-not-end2end-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-shared-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-shared-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/shared/first.yaml b/test/final_exp3/shared/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..09c5ab862f078a39e2bef6a32f54ea2d9a0cc954 --- /dev/null +++ b/test/final_exp3/shared/first.yaml @@ -0,0 +1,38 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-not-end2end-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-shared-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-shared-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/shared/forth.yaml b/test/final_exp3/shared/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9a08f1e5247064bf0e8abd4fac8160bd98963e7e --- /dev/null +++ b/test/final_exp3/shared/forth.yaml @@ -0,0 +1,45 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-yolov5-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/shared/second.yaml b/test/final_exp3/shared/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4eb1715c901edd372600a9054ac62249d313186d --- /dev/null +++ b/test/final_exp3/shared/second.yaml @@ -0,0 +1,45 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-yolov5-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/shared/start.sh b/test/final_exp3/shared/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..11ed4586e79aaa3b685a4dc83226a1c4746ef88f --- /dev/null +++ b/test/final_exp3/shared/start.sh @@ -0,0 +1,11 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 10 +kubectl apply -f second.yaml +sleep 10 +kubectl apply -f third.yaml +sleep 15 +kubectl apply -f forth.yaml +sleep 10 +kubectl apply -f fifth.yaml \ No newline at end of file diff --git a/test/final_exp3/shared/third.yaml b/test/final_exp3/shared/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..937c241299aba5b58baa5aa32a2375f27cef2541 --- /dev/null +++ b/test/final_exp3/shared/third.yaml @@ -0,0 +1,38 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-not-end2end-2 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-shared-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-shared-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/sparse/embedding.yaml b/test/final_exp3/sparse/embedding.yaml new file mode 100644 index 0000000000000000000000000000000000000000..56fe1e91a1634f2c64a3ba3fc553042626d33b78 --- /dev/null +++ b/test/final_exp3/sparse/embedding.yaml @@ -0,0 +1,37 @@ +apiVersion: v1 +kind: Pod +metadata: + name: embedding-server-63 + namespace: user-lpx + labels: + app: embedding-server + annotations: + kube-gpu-sparse/task_info: '{"taks_id":100,"is_end2end":true,"macs":43526,"params":85650,"batch_size":4,"embedding_size_total":0,"embedding_dim_total":0,"embedding_table_count":0}' +spec: + restartPolicy: Never + containers: + - name: not-end2end + image: pxllpx/embedding_server:v1 + imagePullPolicy: IfNotPresent + command: ["/not_end2end"] + ports: + - containerPort: 6002 + nodeSelector: + kubernetes.io/hostname: dell-63 + tolerations: + - key: "profile" + operator: "Exists" + effect: "NoSchedule" +--- +kind: Service +apiVersion: v1 +metadata: + name: embedding-server-svc + namespace: user-lpx +spec: + selector: + app: embedding-server + ports: + - protocol: TCP + port: 80 + targetPort: 6002 \ No newline at end of file diff --git a/test/final_exp3/sparse/first/deploy.yaml b/test/final_exp3/sparse/first/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a3131f0dab45e68eb3dab420a6f4c33c2f1bccd5 --- /dev/null +++ b/test/final_exp3/sparse/first/deploy.yaml @@ -0,0 +1,37 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-not-end2end + namespace: user-lpx +spec: + replicas: 24 + running_type: one-shot + username: user-lpx + macs: 11932000 + params: 11943000 + batch_size: 32 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: deepctr + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_not_end2end.py --process_file=/data/code/deepctr/process-sparse-$MY_POD_IP.txt --latency_file=/data/code/deepctr/latency-sparse-$MY_POD_IP.txt"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp3/sparse/second/deploy.yaml b/test/final_exp3/sparse/second/deploy.yaml new file mode 100644 index 0000000000000000000000000000000000000000..824020eee458844cf9c833a118e7fd31227070f6 --- /dev/null +++ b/test/final_exp3/sparse/second/deploy.yaml @@ -0,0 +1,44 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-yolov5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 2281984000 + params: 1867405 + batch_size: 88 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: yolov5n + image: harbor.act.buaa.edu.cn/kube-gpu-sparse/yolov5:v4 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + # args: ["-c", "sleep infinity"] + args: ["-c", "cd /data/code/yolov5;python train.py --data coco.yaml --epochs 1 --weights '' --cfg yolov5n.yaml --batch-size 88"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + - mountPath: /dev/shm + name: cache-volume + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 + - emptyDir: + medium: Memory + sizeLimit: 16Gi + name: cache-volume \ No newline at end of file diff --git a/test/final_exp3/sparse/start.sh b/test/final_exp3/sparse/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..12bc83077a1cb22df0e9e2daf2731a9b943b3bf8 --- /dev/null +++ b/test/final_exp3/sparse/start.sh @@ -0,0 +1,5 @@ +#!/bin/bash + +kubectl apply -f first/ +sleep 10 +kubectl apply -f second/ \ No newline at end of file diff --git a/test/final_exp4/best/fifth.yaml b/test/final_exp4/best/fifth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..da258828a18ce4dbaef7d1d907f77cc78b3fe221 --- /dev/null +++ b/test/final_exp4/best/fifth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/best/first.yaml b/test/final_exp4/best/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8dac196d9b7579aab03ab6d31f0a01ca6a162a49 --- /dev/null +++ b/test/final_exp4/best/first.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/best/forth.yaml b/test/final_exp4/best/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a78db45b0d9e1b69d1bfa050a7290f015d6b7ada --- /dev/null +++ b/test/final_exp4/best/forth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-4 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/best/second.yaml b/test/final_exp4/best/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9e7c76fed1d2e7d5ba8944f19545580692d7a370 --- /dev/null +++ b/test/final_exp4/best/second.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/best/start.sh b/test/final_exp4/best/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..096c10f2f1e1395d055bc2b9a7fc77c17e55bab1 --- /dev/null +++ b/test/final_exp4/best/start.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml + +sleep 4000 +kubectl apply -f third.yaml + +sleep 4000 +kubectl apply -f forth.yaml + +sleep 4000 +kubectl apply -f fifth.yaml \ No newline at end of file diff --git a/test/final_exp4/best/third.yaml b/test/final_exp4/best/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..cdc1ceeb9498faa3a678217ba9c206b0fd122da6 --- /dev/null +++ b/test/final_exp4/best/third.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-3 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/exp.zip b/test/final_exp4/exp.zip new file mode 100644 index 0000000000000000000000000000000000000000..a560b6c3e9dd15e57cde42fb53d6948b88a03ac9 Binary files /dev/null and b/test/final_exp4/exp.zip differ diff --git a/test/final_exp4/extract_time.py b/test/final_exp4/extract_time.py new file mode 100644 index 0000000000000000000000000000000000000000..d459f67a1238ae8cecc2812fbab4e7ea0ffad435 --- /dev/null +++ b/test/final_exp4/extract_time.py @@ -0,0 +1,34 @@ +from dateutil import parser +import pandas as pd +import os + +file_path = "./horus.csv" + +data = pd.read_csv(file_path) +cd = data.copy(deep=True) + +for index, row in data.iterrows(): + p = os.popen("kubectl -n user-lpx -o jsonpath='{.metadata.creationTimestamp}' get pod "+row['pod']) + submit_time = p.read() + p.close() + submit = parser.parse(submit_time) + + p = os.popen("kubectl -n user-lpx -o jsonpath='{.status.containerStatuses[0].state.terminated.startedAt}' get pod "+row['pod']) + start_time = p.read() + p.close() + start = parser.parse(start_time) + + p = os.popen("kubectl -n user-lpx -o jsonpath='{.status.containerStatuses[0].state.terminated.finishedAt}' get pod "+row['pod']) + end_time = p.read() + p.close() + end = parser.parse(end_time) + + cd['submit_time'][index] = submit_time + cd['start_time'][index] = start_time + cd['end_time'][index] = end_time + cd['jrt'][index] = int((end - start).seconds) + cd['jct'][index] = int((end - submit).seconds) + +print(cd) + +cd.to_csv(file_path, index=False) diff --git a/test/final_exp4/fifth.yaml b/test/final_exp4/fifth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b30ad254e41cb000cbf5667f3f75daf6c16c188a --- /dev/null +++ b/test/final_exp4/fifth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/first.yaml b/test/final_exp4/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..faaae66620306ab4b3d12725cb05ac5b816a464b --- /dev/null +++ b/test/final_exp4/first.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/forth.yaml b/test/final_exp4/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a929a1ea8c1fdf425e9509bbb699a815fc17ad7e --- /dev/null +++ b/test/final_exp4/forth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-4 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/horus.csv b/test/final_exp4/horus.csv new file mode 100644 index 0000000000000000000000000000000000000000..ad26f6a3bc264306c068387d5a05922253bfaed2 --- /dev/null +++ b/test/final_exp4/horus.csv @@ -0,0 +1,73 @@ +pod,submit_time,start_time,end_time,jct,jrt,increase +horus-bert-high-1-85c21d7c-3ef5-4c9f-9bf5-463cb6d60b6d-0,2023-11-24T02:56:25Z,2023-11-24T02:56:42Z,2023-11-24T04:28:45Z,5540.0,5523.0, +horus-bert-high-1-85c21d7c-3ef5-4c9f-9bf5-463cb6d60b6d-1,2023-11-24T02:56:25Z,2023-11-24T02:56:30Z,2023-11-24T04:30:40Z,5655.0,5650.0, 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b/test/final_exp4/horus/fifth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..25cb2e7caef0b1683d1a17e55a3ba3a0917a49b8 --- /dev/null +++ b/test/final_exp4/horus/fifth.yaml @@ -0,0 +1,116 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-low-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-high-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/horus/first.yaml b/test/final_exp4/horus/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1f44f986c9fee85018a681ea38996c893cc297c4 --- /dev/null +++ b/test/final_exp4/horus/first.yaml @@ -0,0 +1,116 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-low-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-high-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/horus/forth.yaml b/test/final_exp4/horus/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dd8dc3a05fab74f2f845ff35b18bbc11385b4fd9 --- /dev/null +++ b/test/final_exp4/horus/forth.yaml @@ -0,0 +1,116 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-4 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-low-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-high-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/horus/second.yaml b/test/final_exp4/horus/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c5220c42e71f60a694433c908ad8c57609d9cfad --- /dev/null +++ b/test/final_exp4/horus/second.yaml @@ -0,0 +1,116 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-low-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-high-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/horus/start.sh b/test/final_exp4/horus/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..eefd374b6d17b54eb1760f05228a046b42bb5231 --- /dev/null +++ b/test/final_exp4/horus/start.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 10 +kubectl apply -f second.yaml + +sleep 4000 +kubectl apply -f third.yaml + +sleep 4000 +kubectl apply -f forth.yaml + +sleep 4000 +kubectl apply -f fifth.yaml \ No newline at end of file diff --git a/test/final_exp4/horus/third.yaml b/test/final_exp4/horus/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1375dbbcf93e04f80e603edd7582f686027ec7a3 --- /dev/null +++ b/test/final_exp4/horus/third.yaml @@ -0,0 +1,116 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-deepfm-3 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-low-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: horus-bert-high-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + scheduler_name: horus-scheduler + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/second.yaml b/test/final_exp4/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..de53cb977281a006fcd50cbf33bdae80cd1682bf --- /dev/null +++ b/test/final_exp4/second.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/shared/fifth.yaml b/test/final_exp4/shared/fifth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a437ce60a4099df484bb147cf5b4ce134af41ac9 --- /dev/null +++ b/test/final_exp4/shared/fifth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-deepfm-5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-low-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-high-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/shared/first.yaml b/test/final_exp4/shared/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8e73c4c007c077aa9ae2390e64478f58c7586e5b --- /dev/null +++ b/test/final_exp4/shared/first.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-low-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-high-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +# --- +# apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +# kind: RecommendDLJob +# metadata: +# name: shared-deepfm-1 +# namespace: user-lpx +# spec: +# replicas: 12 +# running_type: one-shot +# username: user-lpx +# macs: 89500 +# params: 89856 +# batch_size: 32 +# vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] +# embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] +# template: +# spec: +# containers: +# - name: deepfm +# image: pxllpx/deepctr:v3 +# imagePullPolicy: IfNotPresent +# env: +# - name: MY_POD_IP +# valueFrom: +# fieldRef: +# fieldPath: status.podIP +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# volumeMounts: +# - mountPath: /data +# name: dl-train +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/shared/forth.yaml b/test/final_exp4/shared/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a955a25fcf9a8095dc9b05115de430a9863a99d8 --- /dev/null +++ b/test/final_exp4/shared/forth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-deepfm-4 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-low-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-high-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/shared/second.yaml b/test/final_exp4/shared/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..df562cbed86e42e4c728e4d514627cdef3dd6d76 --- /dev/null +++ b/test/final_exp4/shared/second.yaml @@ -0,0 +1,113 @@ +# apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +# kind: RecommendDLJob +# metadata: +# name: shared-bert-low-2 +# namespace: user-lpx +# spec: +# replicas: 3 +# running_type: one-shot +# username: user-lpx +# macs: 39526000000 +# params: 79650000 +# batch_size: 4 +# vocabulary_size: [] +# embedding_dim: [] +# template: +# spec: +# containers: +# - name: bert +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# env: +# - name: MY_POD_IP +# valueFrom: +# fieldRef: +# fieldPath: status.podIP +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# volumeMounts: +# - mountPath: /data +# name: dl-train +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +# apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +# kind: RecommendDLJob +# metadata: +# name: shared-bert-high-2 +# namespace: user-lpx +# spec: +# replicas: 3 +# running_type: one-shot +# username: user-lpx +# macs: 43526000000 +# params: 85650000 +# batch_size: 4 +# vocabulary_size: [] +# embedding_dim: [] +# template: +# spec: +# containers: +# - name: bert +# image: pxllpx/bert:v3 +# imagePullPolicy: IfNotPresent +# env: +# - name: MY_POD_IP +# valueFrom: +# fieldRef: +# fieldPath: status.podIP +# command: ["/bin/sh"] +# args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] +# resources: +# limits: +# nvidia.com/gpu: 1 # requesting 1 GPU +# volumeMounts: +# - mountPath: /data +# name: dl-train +# volumes: +# - name: dl-train +# persistentVolumeClaim: +# claimName: lpx-train-data # 这里是pvc的名字 +# --- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-deepfm-2 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/shared/start.sh b/test/final_exp4/shared/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..eefd374b6d17b54eb1760f05228a046b42bb5231 --- /dev/null +++ b/test/final_exp4/shared/start.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 10 +kubectl apply -f second.yaml + +sleep 4000 +kubectl apply -f third.yaml + +sleep 4000 +kubectl apply -f forth.yaml + +sleep 4000 +kubectl apply -f fifth.yaml \ No newline at end of file diff --git a/test/final_exp4/shared/third.yaml b/test/final_exp4/shared/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..89ced5a305d4b76e5c42506adeb107875ed09d6d --- /dev/null +++ b/test/final_exp4/shared/third.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-deepfm-3 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-low-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: shared-bert-high-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/single.yaml b/test/final_exp4/single.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8e36cb4079658aebc8be539b5e7dd9ed81a3e60f --- /dev/null +++ b/test/final_exp4/single.yaml @@ -0,0 +1,75 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-low-1 + namespace: user-lpx +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-deepfm-1 + namespace: user-lpx +spec: + replicas: 1 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/single/fifth.yaml b/test/final_exp4/single/fifth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..38f17bbcfc28308f05fce5e89af004ab988d1a6f --- /dev/null +++ b/test/final_exp4/single/fifth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-deepfm-5 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-low-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-high-5 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/single/first.yaml b/test/final_exp4/single/first.yaml new file mode 100644 index 0000000000000000000000000000000000000000..798caac782e319ca078acf0ecb2d23d3b80107d8 --- /dev/null +++ b/test/final_exp4/single/first.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-low-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-high-1 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-deepfm-1 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/single/forth.yaml b/test/final_exp4/single/forth.yaml new file mode 100644 index 0000000000000000000000000000000000000000..eddd51299d0992cbfdc24814fb707108cc8a0d60 --- /dev/null +++ b/test/final_exp4/single/forth.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-deepfm-4 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-low-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-high-4 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/single/second.yaml b/test/final_exp4/single/second.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ec78cd84692f889f3e300c9612dbffbe5909e0b2 --- /dev/null +++ b/test/final_exp4/single/second.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-low-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-high-2 + namespace: user-lpx +spec: + replicas: 3 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-deepfm-2 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 \ No newline at end of file diff --git a/test/final_exp4/single/start.sh b/test/final_exp4/single/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..69914575a65e6a4acf6b4295004c4f32b6de540b --- /dev/null +++ b/test/final_exp4/single/start.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 10 +kubectl apply -f second.yaml + +sleep 4000 +kubectl apply -f third.yaml + +sleep 4000 +kubectl apply -f forth.yaml + +# sleep 4000 +# kubectl apply -f fifth.yaml \ No newline at end of file diff --git a/test/final_exp4/single/third.yaml b/test/final_exp4/single/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bcb7d5c15bcc2f20821f2850634f35cd0058c3ac --- /dev/null +++ b/test/final_exp4/single/third.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-deepfm-3 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [6241460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm_real.py --data_dir=/data/data/deepctr/ --batch_size=32 --embedding_dim=16"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-low-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: single-bert-high-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1 --data_dir=/data/data/bert/"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/final_exp4/sparse.csv b/test/final_exp4/sparse.csv new file mode 100644 index 0000000000000000000000000000000000000000..063ddc5c89687cff03c82ddc4050da40e70bd1f8 --- /dev/null +++ b/test/final_exp4/sparse.csv @@ -0,0 +1,73 @@ +pod,submit_time,start_time,end_time,jct,jrt,increase +sparse-bert-high-1-f38bc43c-da99-4f77-8ea0-85c8d5530116-0,2023-11-23T15:54:30Z,2023-11-23T15:54:35Z,2023-11-23T17:30:30Z,5760.0,5755.0, 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+sparse-deepfm-4-ca758de3-2e27-43b1-868f-ea26908b13d3-9,2023-11-23T18:07:59Z,2023-11-23T18:08:06Z,2023-11-23T19:08:22Z,3623.0,3616.0, diff --git a/test/final_exp4/start.sh b/test/final_exp4/start.sh new file mode 100644 index 0000000000000000000000000000000000000000..1aef9ff7604eaa0af376bd1441fa5a740b896bb5 --- /dev/null +++ b/test/final_exp4/start.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +kubectl apply -f first.yaml +sleep 5 +kubectl apply -f second.yaml + +sleep 2700 +kubectl apply -f third.yaml + +sleep 2700 +kubectl apply -f forth.yaml + +sleep 2700 +kubectl apply -f fifth.yaml \ No newline at end of file diff --git a/test/final_exp4/third.yaml b/test/final_exp4/third.yaml new file mode 100644 index 0000000000000000000000000000000000000000..bfc891931ef868699482e7793cf4c98b2dd2b07c --- /dev/null +++ b/test/final_exp4/third.yaml @@ -0,0 +1,113 @@ +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-deepfm-3 + namespace: user-lpx +spec: + replicas: 12 + running_type: one-shot + username: user-lpx + macs: 89500 + params: 89856 + batch_size: 32 + vocabulary_size: [1460,583,10131227,2202608,305,24,12517,633,3,93145,5683,8351593,3194,27,14992,5461306,10,5652,2173,4,7046547,18,15,286181,105,142572] + embedding_dim: [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16] + template: + spec: + containers: + - name: deepfm + image: pxllpx/deepctr:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/deepctr;python run_deepfm.py"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-low-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 39526000000 + params: 79650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 +--- +apiVersion: kube-gpu-sparse.kube-gpu-sparse.io/v1 +kind: RecommendDLJob +metadata: + name: sparse-bert-high-3 + namespace: user-lpx +spec: + replicas: 6 + running_type: one-shot + username: user-lpx + macs: 43526000000 + params: 85650000 + batch_size: 4 + vocabulary_size: [] + embedding_dim: [] + template: + spec: + containers: + - name: bert + image: pxllpx/bert:v3 + imagePullPolicy: IfNotPresent + env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + command: ["/bin/sh"] + args: ["-c", "cd /data/code/bert;python bert.py --batch_size=4 --epochs=0.1"] + resources: + limits: + nvidia.com/gpu: 1 # requesting 1 GPU + volumeMounts: + - mountPath: /data + name: dl-train + volumes: + - name: dl-train + persistentVolumeClaim: + claimName: lpx-train-data # 这里是pvc的名字 diff --git a/test/not_end_to_end/Dockerfile b/test/not_end_to_end/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..dbe5770d0d8cfc23d075dc5148efd655516b9834 --- /dev/null +++ b/test/not_end_to_end/Dockerfile @@ -0,0 +1,6 @@ +FROM ubuntu:22.04 + +COPY ./not_end2end /not_end2end +RUN chmod +x /not_end2end + +ENTRYPOINT [ "sh", "-c", "sleep infinity" ] \ No newline at end of file diff --git a/test/not_end_to_end/go.mod b/test/not_end_to_end/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..624d7a9c4ce6038ddecba1faa80092e3e1cb67e0 --- /dev/null +++ b/test/not_end_to_end/go.mod @@ -0,0 +1,31 @@ +module not_end2end + +go 1.20 + +require ( + github.com/bytedance/sonic v1.9.1 // indirect + github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect + github.com/gabriel-vasile/mimetype v1.4.2 // indirect + github.com/gin-contrib/sse v0.1.0 // indirect + github.com/gin-gonic/gin v1.9.1 // indirect + github.com/go-playground/locales v0.14.1 // indirect + github.com/go-playground/universal-translator v0.18.1 // indirect + github.com/go-playground/validator/v10 v10.14.0 // indirect + github.com/goccy/go-json v0.10.2 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/klauspost/cpuid/v2 v2.2.4 // indirect + github.com/leodido/go-urn v1.2.4 // indirect + github.com/mattn/go-isatty v0.0.19 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + github.com/pelletier/go-toml/v2 v2.0.8 // indirect + github.com/twitchyliquid64/golang-asm v0.15.1 // indirect + github.com/ugorji/go/codec v1.2.11 // indirect + golang.org/x/arch v0.3.0 // indirect + golang.org/x/crypto v0.9.0 // indirect + golang.org/x/net v0.10.0 // indirect + golang.org/x/sys v0.8.0 // indirect + golang.org/x/text v0.9.0 // indirect + google.golang.org/protobuf v1.30.0 // indirect + gopkg.in/yaml.v3 v3.0.1 // indirect +) diff --git a/test/not_end_to_end/go.sum b/test/not_end_to_end/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..e968ca484aa99ac2646712cf374088df491b7734 --- /dev/null +++ b/test/not_end_to_end/go.sum @@ -0,0 +1,78 @@ +github.com/bytedance/sonic v1.5.0/go.mod h1:ED5hyg4y6t3/9Ku1R6dU/4KyJ48DZ4jPhfY1O2AihPM= +github.com/bytedance/sonic v1.9.1 h1:6iJ6NqdoxCDr6mbY8h18oSO+cShGSMRGCEo7F2h0x8s= +github.com/bytedance/sonic v1.9.1/go.mod h1:i736AoUSYt75HyZLoJW9ERYxcy6eaN6h4BZXU064P/U= +github.com/chenzhuoyu/base64x v0.0.0-20211019084208-fb5309c8db06/go.mod h1:DH46F32mSOjUmXrMHnKwZdA8wcEefY7UVqBKYGjpdQY= +github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 h1:qSGYFH7+jGhDF8vLC+iwCD4WpbV1EBDSzWkJODFLams= +github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311/go.mod h1:b583jCggY9gE99b6G5LEC39OIiVsWj+R97kbl5odCEk= +github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/gabriel-vasile/mimetype v1.4.2 h1:w5qFW6JKBz9Y393Y4q372O9A7cUSequkh1Q7OhCmWKU= +github.com/gabriel-vasile/mimetype v1.4.2/go.mod h1:zApsH/mKG4w07erKIaJPFiX0Tsq9BFQgN3qGY5GnNgA= +github.com/gin-contrib/sse v0.1.0 h1:Y/yl/+YNO8GZSjAhjMsSuLt29uWRFHdHYUb5lYOV9qE= +github.com/gin-contrib/sse v0.1.0/go.mod h1:RHrZQHXnP2xjPF+u1gW/2HnVO7nvIa9PG3Gm+fLHvGI= +github.com/gin-gonic/gin v1.9.1 h1:4idEAncQnU5cB7BeOkPtxjfCSye0AAm1R0RVIqJ+Jmg= +github.com/gin-gonic/gin v1.9.1/go.mod h1:hPrL7YrpYKXt5YId3A/Tnip5kqbEAP+KLuI3SUcPTeU= +github.com/go-playground/locales v0.14.1 h1:EWaQ/wswjilfKLTECiXz7Rh+3BjFhfDFKv/oXslEjJA= +github.com/go-playground/locales v0.14.1/go.mod h1:hxrqLVvrK65+Rwrd5Fc6F2O76J/NuW9t0sjnWqG1slY= +github.com/go-playground/universal-translator v0.18.1 h1:Bcnm0ZwsGyWbCzImXv+pAJnYK9S473LQFuzCbDbfSFY= +github.com/go-playground/universal-translator v0.18.1/go.mod h1:xekY+UJKNuX9WP91TpwSH2VMlDf28Uj24BCp08ZFTUY= +github.com/go-playground/validator/v10 v10.14.0 h1:vgvQWe3XCz3gIeFDm/HnTIbj6UGmg/+t63MyGU2n5js= +github.com/go-playground/validator/v10 v10.14.0/go.mod h1:9iXMNT7sEkjXb0I+enO7QXmzG6QCsPWY4zveKFVRSyU= +github.com/goccy/go-json v0.10.2 h1:CrxCmQqYDkv1z7lO7Wbh2HN93uovUHgrECaO5ZrCXAU= +github.com/goccy/go-json v0.10.2/go.mod h1:6MelG93GURQebXPDq3khkgXZkazVtN9CRI+MGFi0w8I= +github.com/golang/protobuf v1.5.0/go.mod h1:FsONVRAS9T7sI+LIUmWTfcYkHO4aIWwzhcaSAoJOfIk= +github.com/google/go-cmp v0.5.5/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/gNBxE= +github.com/google/gofuzz v1.0.0/go.mod h1:dBl0BpW6vV/+mYPU4Po3pmUjxk6FQPldtuIdl/M65Eg= +github.com/json-iterator/go v1.1.12 h1:PV8peI4a0ysnczrg+LtxykD8LfKY9ML6u2jnxaEnrnM= +github.com/json-iterator/go v1.1.12/go.mod h1:e30LSqwooZae/UwlEbR2852Gd8hjQvJoHmT4TnhNGBo= +github.com/klauspost/cpuid/v2 v2.0.9/go.mod h1:FInQzS24/EEf25PyTYn52gqo7WaD8xa0213Md/qVLRg= +github.com/klauspost/cpuid/v2 v2.2.4 h1:acbojRNwl3o09bUq+yDCtZFc1aiwaAAxtcn8YkZXnvk= +github.com/klauspost/cpuid/v2 v2.2.4/go.mod h1:RVVoqg1df56z8g3pUjL/3lE5UfnlrJX8tyFgg4nqhuY= +github.com/leodido/go-urn v1.2.4 h1:XlAE/cm/ms7TE/VMVoduSpNBoyc2dOxHs5MZSwAN63Q= +github.com/leodido/go-urn v1.2.4/go.mod h1:7ZrI8mTSeBSHl/UaRyKQW1qZeMgak41ANeCNaVckg+4= +github.com/mattn/go-isatty v0.0.19 h1:JITubQf0MOLdlGRuRq+jtsDlekdYPia9ZFsB8h/APPA= +github.com/mattn/go-isatty v0.0.19/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y= +github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q= +github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd h1:TRLaZ9cD/w8PVh93nsPXa1VrQ6jlwL5oN8l14QlcNfg= +github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q= +github.com/modern-go/reflect2 v1.0.2 h1:xBagoLtFs94CBntxluKeaWgTMpvLxC4ur3nMaC9Gz0M= +github.com/modern-go/reflect2 v1.0.2/go.mod h1:yWuevngMOJpCy52FWWMvUC8ws7m/LJsjYzDa0/r8luk= +github.com/pelletier/go-toml/v2 v2.0.8 h1:0ctb6s9mE31h0/lhu+J6OPmVeDxJn+kYnJc2jZR9tGQ= +github.com/pelletier/go-toml/v2 v2.0.8/go.mod h1:vuYfssBdrU2XDZ9bYydBu6t+6a6PYNcZljzZR9VXg+4= +github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= +github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME= +github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw= +github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo= +github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI= +github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg= +github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg= +github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU= +github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4= +github.com/stretchr/testify v1.8.2/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4= +github.com/stretchr/testify v1.8.3/go.mod h1:sz/lmYIOXD/1dqDmKjjqLyZ2RngseejIcXlSw2iwfAo= +github.com/twitchyliquid64/golang-asm v0.15.1 h1:SU5vSMR7hnwNxj24w34ZyCi/FmDZTkS4MhqMhdFk5YI= +github.com/twitchyliquid64/golang-asm v0.15.1/go.mod h1:a1lVb/DtPvCB8fslRZhAngC2+aY1QWCk3Cedj/Gdt08= +github.com/ugorji/go/codec v1.2.11 h1:BMaWp1Bb6fHwEtbplGBGJ498wD+LKlNSl25MjdZY4dU= +github.com/ugorji/go/codec v1.2.11/go.mod h1:UNopzCgEMSXjBc6AOMqYvWC1ktqTAfzJZUZgYf6w6lg= +golang.org/x/arch v0.0.0-20210923205945-b76863e36670/go.mod h1:5om86z9Hs0C8fWVUuoMHwpExlXzs5Tkyp9hOrfG7pp8= +golang.org/x/arch v0.3.0 h1:02VY4/ZcO/gBOH6PUaoiptASxtXU10jazRCP865E97k= +golang.org/x/arch v0.3.0/go.mod h1:5om86z9Hs0C8fWVUuoMHwpExlXzs5Tkyp9hOrfG7pp8= +golang.org/x/crypto v0.9.0 h1:LF6fAI+IutBocDJ2OT0Q1g8plpYljMZ4+lty+dsqw3g= +golang.org/x/crypto v0.9.0/go.mod h1:yrmDGqONDYtNj3tH8X9dzUun2m2lzPa9ngI6/RUPGR0= +golang.org/x/net v0.10.0 h1:X2//UzNDwYmtCLn7To6G58Wr6f5ahEAQgKNzv9Y951M= +golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg= +golang.org/x/sys v0.0.0-20220704084225-05e143d24a9e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= +golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= +golang.org/x/sys v0.8.0 h1:EBmGv8NaZBZTWvrbjNoL6HVt+IVy3QDQpJs7VRIw3tU= +golang.org/x/sys v0.8.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= +golang.org/x/text v0.9.0 h1:2sjJmO8cDvYveuX97RDLsxlyUxLl+GHoLxBiRdHllBE= +golang.org/x/text v0.9.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8= +golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0= +google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp09yW+WbY/TyQbw= +google.golang.org/protobuf v1.30.0 h1:kPPoIgf3TsEvrm0PFe15JQ+570QVxYzEvvHqChK+cng= +google.golang.org/protobuf v1.30.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I= +gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= +gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= +gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= +gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= +rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4= diff --git a/test/not_end_to_end/main.go b/test/not_end_to_end/main.go new file mode 100644 index 0000000000000000000000000000000000000000..aeaf546d1c88c7c5bd36163d93b0b164c8902e47 --- /dev/null +++ b/test/not_end_to_end/main.go @@ -0,0 +1,78 @@ +package main + +import ( + "fmt" + "math/rand" + "net/http" + "strconv" + "time" + + "github.com/gin-gonic/gin" +) + +func LogErr(format string, v ...interface{}) { + fmt.Printf("[KubeGpuSparse Error]"+format+"\n", v...) +} + +func LogInfo(format string, v ...interface{}) { + fmt.Printf("[KubeGpuSparse Info]"+format+"\n", v...) +} + +func LogWarn(format string, v ...interface{}) { + fmt.Printf("[KubeGpuSparse Warn]"+format+"\n", v...) +} + +func main() { + server := gin.Default() + + server.GET("/data", data) + if err := server.Run(fmt.Sprintf(":%d", 6002)); err != nil { + LogErr("debug server exit:%v", err) + } +} + +func data(c *gin.Context) { + count, err := strconv.Atoi(c.Query("count")) + if err != nil { + LogErr(err.Error()) + c.JSON(http.StatusInternalServerError, map[string]string{ + "err": err.Error(), + }) + return + } + dim, err := strconv.Atoi(c.Query("dim")) + if err != nil { + LogErr(err.Error()) + c.JSON(http.StatusInternalServerError, map[string]string{ + "err": err.Error(), + }) + return + } + batchSize, err := strconv.Atoi(c.Query("batchSize")) + if err != nil { + LogErr(err.Error()) + c.JSON(http.StatusInternalServerError, map[string]string{ + "err": err.Error(), + }) + return + } + + content := make([][][]float32, 0, count) + r := rand.New(rand.NewSource(time.Now().UnixNano())) + for i := 0; i < count; i++ { + batch := make([][]float32, 0, batchSize) + for k := 0; k < batchSize; k++ { + vector := make([]float32, 0, dim) + for j := 0; j < dim; j++ { + vector = append(vector, r.Float32()*10) + } + batch = append(batch, vector) + } + + content = append(content, batch) + } + c.JSON(http.StatusOK, map[string]interface{}{ + "data": content, + }) + return +} diff --git a/test/not_end_to_end/not_end2end b/test/not_end_to_end/not_end2end new file mode 100755 index 0000000000000000000000000000000000000000..70d850b5cf144afcb3dd3c1ce9bbd4424894dc79 Binary files /dev/null and b/test/not_end_to_end/not_end2end differ diff --git a/test/not_end_to_end/readembedding.py b/test/not_end_to_end/readembedding.py new file mode 100644 index 0000000000000000000000000000000000000000..41fd915c3dd96486c314a7f564c0c099f4eda659 --- /dev/null +++ b/test/not_end_to_end/readembedding.py @@ -0,0 +1,108 @@ +import torch +import requests +import torch.nn as nn +import time +import pandas as pd +from tqdm import trange +import numpy as np + +records = [] +device = 'cpu' +use_cuda = True +learning_rate = 0.01 # 学习率0.01 +if use_cuda and torch.cuda.is_available(): + print('cuda ready...') + device = 'cuda:0' + +def readEmbedding(host:str, var:torch.Tensor, dim:int): + global records + s = var.shape + batchSize = s[0] + count = s[1] + # print(batchSize) + # print(count) + begin = time.time() + fail_max_count = 5 + for i in range(fail_max_count): + try: + data = requests.request('get', host+'/data?count='+str(count)+'&dim='+str(dim)+'&batchSize='+str(batchSize)) + except: + print('failed') + time.sleep(i+1) + continue + print('success') + break + end = time.time() + records.append((begin, end - begin)) + resp = data.json() + tensors = [] + for vect in resp['data']: + tensors.append(torch.Tensor(vect)) + return tensors + +def generate_network(input_size, hidden_layers, output_size): + # 初始化神经网络 + network = nn.Sequential() + + # 添加输入层 + network.add_module("input", nn.Linear(input_size, hidden_layers[0])) + network.add_module("relu_0", nn.ReLU()) + + # 添加多个隐层 + for i in range(1, len(hidden_layers)): + network.add_module(f"hidden_{i}", nn.Linear(hidden_layers[i-1], hidden_layers[i])) + network.add_module(f"relu_{i}", nn.ReLU()) + + # 添加输出层 + network.add_module("output", nn.Linear(hidden_layers[-1], output_size)) + + return network + +# 具体的使用方法 +class Net(nn.Module): + def __init__(self, host, sparse_count, dense_count, embedding_dim, hidden_layers, output_size): + super(Net, self).__init__() + input_size = sparse_count*embedding_dim+dense_count + self.mlp_module = generate_network(input_size, hidden_layers, output_size) + self.host = host + self.embedding_dim = embedding_dim + self.sparse_count = sparse_count + self.dense_count = dense_count + + def forward(self, input): + dense = input[:,0:self.dense_count] + sparse = input[:,self.dense_count:self.dense_count+self.sparse_count] + out = readEmbedding(self.host,sparse, self.embedding_dim) + out = torch.cat(out,axis=1).to(device) + out = torch.cat([dense,out], axis=1) + out = self.mlp_module(out) + return out + +reader = pd.read_csv('../../data/deepctr/real_train.txt', sep='\t', iterator=True) +batchSize = 256 +embeddingDim = 32 +Length = int(10000*400/batchSize) +sparse_features = ['C' + str(i) for i in range(1, 27)] +dense_features = ['I' + str(i) for i in range(1, 14)] +target = 'lable' + + +model = Net('http://embedding-server-svc.user-lpx', len(sparse_features), len(dense_features), embeddingDim, [5012,2056,1024,256], 2) +model.to(device) + +criterion = nn.CrossEntropyLoss() +optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) +epoch_begin = time.time() + +for i in trange(Length): + + data = reader.get_chunk(batchSize) + input = torch.Tensor(data[dense_features+sparse_features].values).to(device) + label = torch.Tensor(data[target].values).long().to(device) + + out = model(input) + loss = criterion(out, label) + optimizer.zero_grad() + loss.backward() + optimizer.step() +print('finish, cost %ds' % (int(time.time() - epoch_begin))) diff --git a/test/not_end_to_end/records.zip b/test/not_end_to_end/records.zip new file mode 100644 index 0000000000000000000000000000000000000000..625e4fd2d5002cfd579967b5bf44045698a9f914 Binary files /dev/null and b/test/not_end_to_end/records.zip differ diff --git a/test/resnet/README.md b/test/resnet/README.md new file mode 100644 index 0000000000000000000000000000000000000000..b9b079369e9ed2033469b5278cf354c938f96f94 --- /dev/null +++ b/test/resnet/README.md @@ -0,0 +1,4 @@ +# ResNet Benchmark + +- 使用tensorflow镜像封装，代码见src +- 将deploy中yaml文件部署到集群中运行 \ No newline at end of file diff --git a/test/resnet/src/pytorch/resnet50.py b/test/resnet/src/pytorch/resnet50.py new file mode 100644 index 0000000000000000000000000000000000000000..401068e299c531be0da36f5c7dba13e61ff35b42 --- /dev/null +++ b/test/resnet/src/pytorch/resnet50.py @@ -0,0 +1,194 @@ +import math +import torch +import torch.nn as nn +import torchvision +import torchvision.transforms as transforms + +# 判断是否有GPU +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + +num_epochs = 5 # 50轮 +batch_size = 50 # 50步长 +learning_rate = 0.01 # 学习率0.01 + +#Cifar 数据集是32*32的图片，如若导入自己数据集记得修改图片宽高数值 +img_height = 32 +img_width = 32 + +# 图像预处理 +transform = transforms.Compose([ + transforms.Pad(4), + transforms.RandomHorizontalFlip(), + transforms.RandomCrop(32), + transforms.ToTensor()]) + +# CIFAR-10 数据集下载 +train_dataset = torchvision.datasets.CIFAR10(root='data/', + train=True, + transform=transform, + download=True) + +test_dataset = torchvision.datasets.CIFAR10(root='data/', + train=False, + transform=transforms.ToTensor()) + +# 数据载入 +train_loader = torch.utils.data.DataLoader(dataset=train_dataset, + batch_size=batch_size, + shuffle=True) + +test_loader = torch.utils.data.DataLoader(dataset=test_dataset, + batch_size=batch_size, + shuffle=False) + + +# 3x3 卷积定义 +def conv3x3(in_channels, out_channels, kernel_size = 3,stride=1, padding=1): + return nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, + stride=stride, padding=padding, bias=False) + + +# Resnet_50 中的残差块 +class ResidualBlock(nn.Module): + def __init__(self, in_channels, out_channels, stride=1, downsample=None): + super(ResidualBlock, self).__init__() + self.mid_channels = out_channels//4 + self.conv1 = conv3x3(in_channels, self.mid_channels, kernel_size=1, stride=stride, padding=0)#Resnet50 中，从第二个残差块开始每个layer的第一个残差块都需要一次downsample + self.bn1 = nn.BatchNorm2d(self.mid_channels) + self.relu = nn.ReLU(inplace=True) + self.conv2 = conv3x3(self.mid_channels, self.mid_channels) + self.bn2 = nn.BatchNorm2d(self.mid_channels) + self.conv3 = conv3x3(self.mid_channels, out_channels,kernel_size=1,padding=0) + self.bn3 = nn.BatchNorm2d(out_channels) + self.downsample_0 = conv3x3(in_channels,out_channels,kernel_size=1,stride=1,padding=0) + self.downsample = downsample + + def forward(self, x): + residual = x + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + out = self.conv2(out) + out = self.bn2(out) + out = self.conv3(out) + out = self.bn3(out) + if self.downsample: + residual = self.downsample(x) + else: + residual = self.downsample_0(x) + + out += residual + out = self.bn3(out) + out = self.relu(out) + return out + + +# ResNet定义 +class ResNet(nn.Module): + def __init__(self, block, layers, num_classes=10): + super(ResNet, self).__init__() + self.conv = conv3x3(3, 64,kernel_size=7,stride=2) + self.bn = nn.BatchNorm2d(64) + self.max_pool = nn.MaxPool2d(3,2,padding=1) + self.layer1 = self.make_layer(block, 64, 256, layers[0]) + self.layer2 = self.make_layer(block, 256, 512, layers[1], 2) + self.layer3 = self.make_layer(block, 512, 1024, layers[2], 2) + self.layer4 = self.make_layer(block, 1024, 2048, layers[3], 2) + self.avg_pool = nn.AvgPool2d(3,stride=1,padding=1) + self.fc = nn.Linear(math.ceil(img_height/32)*math.ceil(img_width/32)*2048, num_classes) + + def make_layer(self, block, in_channels, out_channels, blocks, stride=1): + downsample = None + if (stride != 1): + downsample = nn.Sequential( + conv3x3(in_channels, out_channels, kernel_size=3,stride=stride), + nn.BatchNorm2d(out_channels)) + layers = [] + layers.append(block(in_channels, out_channels, stride, downsample)) + + for i in range(1, blocks): + layers.append(block(out_channels, out_channels)) + return nn.Sequential(*layers) + + def forward(self, x): + out = self.conv(x) + out = self.bn(out) + out = self.max_pool(out) + out = self.layer1(out) + out = self.layer2(out) + out = self.layer3(out) + out = self.layer4(out) + out = self.avg_pool(out) + out = out.view( -1,math.ceil(img_height/32)*math.ceil(img_width/32)*2048) + return out + +#Resnet-50 3-4-6-3 总计(3+4+6+3)*3=48 个conv层 加上开头的两个Conv 一共50层 +model = ResNet(ResidualBlock, [3, 4, 6, 3]).to(device) + +from thop import profile +input_tensor = None +for epoch in range(num_epochs): + for i, (images, labels) in enumerate(train_loader): + input_tensor = images + break + break +macs, params = profile(model, inputs=(input_tensor, )) +from thop import clever_format +macs, params = clever_format([macs, params], "%.3f") +print("shape: ", input_tensor.shape) +print("macs: {}, params: {}", macs, params) + +# 损失函数 +criterion = nn.CrossEntropyLoss() +optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) + + +# 更新学习率 +def update_lr(optimizer, lr): + for param_group in optimizer.param_groups: + param_group['lr'] = lr + + +# 训练数据集 +total_step = len(train_loader) +curr_lr = learning_rate +for epoch in range(num_epochs): + for i, (images, labels) in enumerate(train_loader): + images = images.to(device) + labels = labels.to(device) + + # Forward pass + outputs = model(images) + loss = criterion(outputs, labels) + + # Backward and optimize + optimizer.zero_grad() + loss.backward() + optimizer.step() + + if (i + 1) % 100 == 0: + print("Epoch [{}/{}], Step [{}/{}] Loss: {:.4f}" + .format(epoch + 1, num_epochs, i + 1, total_step, loss.item())) + + # 延迟学习率 + if (epoch + 1) % 20 == 0: + curr_lr /= 3 + update_lr(optimizer, curr_lr) + +# 测试网络模型 +model.eval() +with torch.no_grad(): + correct = 0 + total = 0 + for images, labels in test_loader: + images = images.to(device) + labels = labels.to(device) + outputs = model(images) + _, predicted = torch.max(outputs.data, 1) + total += labels.size(0) + correct += (predicted == labels).sum().item() + + print('Accuracy of the model on the test images: {} %'.format(100 * correct / total)) + +# S将模型保存 +torch.save(model.state_dict(), 'resnet.ckpt') \ No newline at end of file diff --git a/test/resnet/src/pytorch/try.py b/test/resnet/src/pytorch/try.py new file mode 100644 index 0000000000000000000000000000000000000000..cf0efe75934d5af831deb547aa244b9069df2708 --- /dev/null +++ b/test/resnet/src/pytorch/try.py @@ -0,0 +1,51 @@ +import math +import torch +import torch.nn as nn + +batchSize = 50 +inputSize = 64 +outputSize = 10 +epoch = 100000 + + +# 第一种方法 +conv_module = nn.Sequential( + nn.Conv2d(1,20,5), + nn.ReLU(), + nn.Conv2d(20,64,5), + nn.ReLU() + ) + +# 判断是否有GPU +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + +# 具体的使用方法 +class Net(nn.Module): + def __init__(self, input_size, output_size): + super(Net, self).__init__() + self.conv_module = nn.Sequential( + nn.Linear(input_size, 128), + nn.ReLU(), + nn.Linear(128, 256), + nn.ReLU(), + nn.Linear(256, 512), + nn.ReLU(), + nn.Linear(512, 256), + nn.ReLU(), + nn.Linear(256, 128), + nn.ReLU(), + nn.Linear(128, output_size) + ) + + def forward(self, input): + out = self.conv_module(input) + +model = Net(inputSize, outputSize).to(device) + +inputs = torch.ones([batchSize,inputSize]) + +for i in range(epoch): + inputss = inputs.to(device) + outputs = model(inputss) + if i % 100 == 0: + print(i) diff --git a/test/tools/v1/README.md b/test/tools/v1/README.md new file mode 100644 index 0000000000000000000000000000000000000000..f0fa9b95f7fcb07721b2b4a0503322c8ccae24be --- /dev/null +++ b/test/tools/v1/README.md @@ -0,0 +1,51 @@ +# 训练任务GPU利用率记录 + +## 背景 + +- 用于lipeixi毕设数据收集，麻烦各位炼丹大佬帮帮忙orz，收集下训练任务的GPU利用率数据，以及对应的模型参数，后续做一些分析适用 +- 可能用于： + - 收集模型的相关参数（包括训练模型的FLOPs、参数量、batchSize、卷积核个数、激活函数个数） + - 根据模型参数与训练过程的GPU利用率数据，分析其中的内在关系 + +## 适用范围 + +- 仅针对单进程且独占一整个GPU卡的任务 +- 如果占用多张卡，请确认是数据并行而不是模型并行（即每张卡上加载的模型一模一样） + +## 功能 + +- 记录训练过程中的GPU利用率数据 + +## Required + +- 模型是用pytorch写的，只用单张卡 + +## Usage + +- 在训练模型的时候，同时运行record脚本，记录下数据 +- 数据记录完成后发给我 + +### 方式一（如果可以的话，不行的话可以看方式二） + +- 使用`thop.py`获取下模型的MFLOPs和参数量MParams + - 根据`thop.py`中注释提到的部分，修改代码 + - 将YourModel替换为你的pytorch model对象 + - 将input的size替换为你的输入张量大小，第一个分量为1而不是batch_size +- 在启动训练模型后，获取训练模型的python进程号，使用record脚本启动记录程序 +- NumRelu填写激活函数的个数 + +``` +./record -Pid ${YourPid} -MFLOPs ${YourMFLOPs} -MParams ${YourMParams} -BatchSize ${YourBatchSize} -NumRelu ${YourReluCount} -Output ./record.csv +``` + +- 将record.csv发给我 + +### 方式二 + +- 在启动训练模型后，获取训练模型的python进程号，使用record脚本启动记录程序 + +``` +./record -Pid ${YourPid} -BatchSize ${YourBatchSize} -Output ./record.csv +``` + +- 将record.csv和你的模型文件一并发给我 diff --git a/test/tools/v1/go.mod b/test/tools/v1/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..488e8f5847d71023345910720a91ddbe5acaf474 --- /dev/null +++ b/test/tools/v1/go.mod @@ -0,0 +1,5 @@ +module kube-gpu/tools + +go 1.19 + +require github.com/NVIDIA/go-nvml v0.12.0-1 // indirect diff --git a/test/tools/v1/go.sum b/test/tools/v1/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..4fce5831783f80e282670ade09b1410bc46b884f --- /dev/null +++ b/test/tools/v1/go.sum @@ -0,0 +1,2 @@ +github.com/NVIDIA/go-nvml v0.12.0-1 h1:6mdjtlFo+17dWL7VFPfuRMtf0061TF4DKls9pkSw6uM= +github.com/NVIDIA/go-nvml v0.12.0-1/go.mod h1:hy7HYeQy335x6nEss0Ne3PYqleRa6Ct+VKD9RQ4nyFs= diff --git a/test/tools/v1/record b/test/tools/v1/record new file mode 100755 index 0000000000000000000000000000000000000000..a2e7038a11d51919ce626d3174d1a5bba77aef5e Binary files /dev/null and b/test/tools/v1/record differ diff --git a/test/tools/v1/record.csv b/test/tools/v1/record.csv new file mode 100644 index 0000000000000000000000000000000000000000..d96578f9104d2148e11fafae07c98399acf49e01 --- /dev/null +++ b/test/tools/v1/record.csv @@ -0,0 +1,9 @@ +MFLOPs,MParams,BatchSize,NumConnv,NumRelu +0.000,0.000,0,0,0 +pid,gpuId,gpuUtil,globalMemRWUtil,smUtil,memUtil,encUtil,decUtil,frameMemUtil +MFLOPs,MParams,BatchSize,NumConnv,NumRelu +534.530,46.430,128,20,20 +pid,gpuId,gpuUtil,globalMemRWUtil,smUtil,memUtil,encUtil,decUtil,frameMemUtil +MFLOPs,MParams,BatchSize,NumConnv,NumRelu +534.530,46.430,128,20,20 +pid,gpuId,gpuUtil,globalMemRWUtil,smUtil,memUtil,encUtil,decUtil,frameMemUtil diff --git a/test/tools/v1/record.go b/test/tools/v1/record.go new file mode 100644 index 0000000000000000000000000000000000000000..f376a36c60b232707d0143c5bcee4e4b3230709a --- /dev/null +++ b/test/tools/v1/record.go @@ -0,0 +1,289 @@ +package main + +import ( + "encoding/json" + "flag" + "fmt" + "os" + "time" + + "github.com/NVIDIA/go-nvml/pkg/nvml" +) + +type ProcessStat struct { + Pid int32 `json:"pid"` + Smutil float64 `json:"smutil"` // SM利用率 + Memutil float64 `json:"memutil"` // 显存利用率 + FrameMemUtil float64 `json:"framememutil"` // 帧缓冲区内存利用率 + Decutil float64 `json:"decutil"` + Encutil float64 `json:"encutil"` +} + +type Stat struct { + Id string `json:"id"` + Util float64 `json:"util"` // GPU利用率 + Mem float64 `json:"mem"` // 全局存储读写利用率 + Procs []*ProcessStat `json:"procs"` +} + +type GpuStatResp struct { + Data []*Stat `json:"data"` +} + +func init() { + ret := nvml.Init() + if ret != nvml.SUCCESS { + LogError("Unable to initialize NVML: %v", nvml.ErrorString(ret)) + os.Exit(-1) + } + initFlag() +} + +func BeforeExit() { + ret := nvml.Shutdown() + if ret != nvml.SUCCESS { + LogError("Unable to shutdown NVML: %v", nvml.ErrorString(ret)) + } +} + +func GetGpuStat() (*GpuStatResp, error) { + resp := new(GpuStatResp) + resp.Data = []*Stat{} + + count, ret := nvml.DeviceGetCount() + if ret != nvml.SUCCESS { + err := fmt.Errorf("unable to get device count: %v", nvml.ErrorString(ret)) + LogError(err.Error()) + return nil, err + } + + for i := 0; i < count; i++ { + stat := &Stat{} + device, ret := nvml.DeviceGetHandleByIndex(i) + if ret != nvml.SUCCESS { + err := fmt.Errorf("unable to get device at index %d: %v", i, nvml.ErrorString(ret)) + LogError(err.Error()) + return nil, err + } + + uuid, ret := device.GetUUID() + if ret != nvml.SUCCESS { + err := fmt.Errorf("unable to get uuid of device at index %d: %v", i, nvml.ErrorString(ret)) + LogError(err.Error()) + return nil, err + } + stat.Id = uuid + + usage, ret := device.GetUtilizationRates() + if ret != nvml.SUCCESS { + err := fmt.Errorf("unable to get device utilizationRates, devie: %s, err: %v", uuid, nvml.ErrorString(ret)) + LogError(err.Error()) + return nil, err + } + + // fmt.Printf("util used: %v\n", usage.Gpu) + stat.Util = float64(usage.Gpu) + + // fmt.Printf("mem used: %v\n", usage.Memory) + stat.Mem = float64(usage.Memory) + + samples, ret := device.GetProcessUtilization(uint64(time.Now().UnixMilli())) + if ret != nvml.SUCCESS { + err := fmt.Errorf("unable to get device Process Utilization, device: %s, err :%v", uuid, nvml.ErrorString(ret)) + LogError(err.Error()) + return nil, err + } + stat.Procs = []*ProcessStat{} + retMap := make(map[int32]*ProcessStat) + for _, s := range samples { + // fmt.Printf("pid: %v, smuitl: %v, decutil: %v, memutil: %v, encutil:%v\n", s.Pid, s.SmUtil, s.DecUtil, s.MemUtil, s.EncUtil) + retMap[int32(s.Pid)] = &ProcessStat{ + Pid: int32(s.Pid), + Smutil: float64(s.SmUtil), + FrameMemUtil: float64(s.MemUtil), + Encutil: float64(s.EncUtil), + Decutil: float64(s.DecUtil), + } + } + + runningSamples, ret := device.GetComputeRunningProcesses() + if ret != nvml.SUCCESS { + err := fmt.Errorf("unable to get running Process Utilization, device: %s, err :%v", uuid, nvml.ErrorString(ret)) + LogError(err.Error()) + return nil, err + } + for _, s := range runningSamples { + has, ok := retMap[int32(s.Pid)] + if ok { + has.Memutil = float64(s.UsedGpuMemory) + } + } + + for _, s := range retMap { + stat.Procs = append(stat.Procs, s) + } + + // fmt.Printf("%v\n", uuid) + resp.Data = append(resp.Data, stat) + } + data, err := json.Marshal(resp) + LogInfo("Got GPU Usage Data successfully: %s, %v", data, err) + return resp, nil +} + +// input: batch_size GFLOPs MParams NumConnv NumRelu +var ( + // input + MFLOPs float64 + MParams float64 + BatchSize int + NumConnv int + NumRelu int + + // action + Interval int // second + Pid int // pid + Output string +) + +const ( + timeLayout = "2006-01-02 15:04:05" + maxFailedCount = 5 + headline = "pid,gpuId,gpuUtil,globalMemRWUtil,smUtil,memUtil,encUtil,decUtil,frameMemUtil\n" + writeFormat = "%d,%d,%.2f,%.2f,%.2f,%.2f,%.2f,%.2f,%.2f\n" + modelHeadline = "MFLOPs,MParams,BatchSize,NumConnv,NumRelu\n" + modelWriteFormat = "%.3f,%.3f,%d,%d,%d\n" +) + +func LogInfo(format string, v ...interface{}) { + fmt.Printf("[Info] %s: %s\n", time.Now().Local().Format(timeLayout), fmt.Sprintf(format, v...)) +} +func LogError(format string, v ...interface{}) { + fmt.Printf("[Error] %s: %s\n", time.Now().Local().Format(timeLayout), fmt.Sprintf(format, v...)) +} + +func initFlag() { + flag.IntVar(&Pid, "Pid", 0, "(required) pid of your program") + flag.IntVar(&Interval, "Interval", 5, "monitor interval/second") + flag.StringVar(&Output, "Output CSV File Path", "./record.csv", "monitor data record file path") + flag.Float64Var(&MFLOPs, "MFLOPs", 0, "MFLOPs of your model") + flag.Float64Var(&MParams, "MParams", 0, "MParams of your model") + flag.IntVar(&BatchSize, "BatchSize", 0, "BatchSize when you train your model") + flag.IntVar(&NumConnv, "NumConnv", 0, "Number of your Connv") + flag.IntVar(&NumRelu, "NumRelu", 0, "Number of your relu func") +} + +type RecordStat struct { + Pid int + GPUID int + GPUUtil float64 + GlobalMemRWUtil float64 + SmUtil float64 + MemUtil float64 + EncUtil float64 + DecUtil float64 + FrameMemUtil float64 +} + +func main() { + flag.Parse() + if Interval <= 5 { + Interval = 5 + } else if Interval >= 15 { + Interval = 15 + } + + if Pid <= 0 { + LogError("Pid illegal, expected >0, got %d", Pid) + os.Exit(-1) + } + + wf, err := os.OpenFile(Output, os.O_WRONLY|os.O_CREATE|os.O_APPEND, 0666) + if err != nil { + LogError("Open Output File Failed, err:%v", err) + os.Exit(-1) + } + defer wf.Close() + _, err = wf.Write([]byte(modelHeadline)) + if err != nil { + LogError("Write Model HeadLine Failed, err:%v", err) + os.Exit(-1) + } + _, err = wf.Write([]byte(fmt.Sprintf(modelWriteFormat, MFLOPs, MParams, BatchSize, NumConnv, NumRelu))) + if err != nil { + LogError("Write Model Info Failed, err:%v", err) + os.Exit(-1) + } + _, err = wf.Write([]byte(headline)) + if err != nil { + LogError("Write HeadLine Failed, err:%v", err) + os.Exit(-1) + } + + gpuIDMap := map[string]int{} + gpuCount := 0 + + failGotDataCount := 0 + for { + resp, err := GetGpuStat() + if err != nil { + failGotDataCount++ + } else { + foundPid := false + for _, stat := range resp.Data { + util := stat.Util + globalMemRw := stat.Mem + gpuInstanceID := stat.Id + gid := 0 + ok := false + if gid, ok = gpuIDMap[gpuInstanceID]; !ok { + gid = gpuCount + gpuIDMap[gpuInstanceID] = gid + gpuCount++ + } + for _, proc := range stat.Procs { + if proc.Pid != int32(Pid) { + continue + } + foundPid = true + record := &RecordStat{ + Pid: Pid, + GPUID: gid, + GPUUtil: util, + GlobalMemRWUtil: globalMemRw, + SmUtil: proc.Smutil, + MemUtil: proc.Memutil, + EncUtil: proc.Encutil, + DecUtil: proc.Decutil, + FrameMemUtil: proc.FrameMemUtil, + } + _, err = wf.Write([]byte(fmt.Sprintf(writeFormat, + record.Pid, + record.GPUID, + record.GPUUtil, + record.GlobalMemRWUtil, + record.SmUtil, + record.MemUtil, + record.EncUtil, + record.DecUtil, + record.FrameMemUtil, + ))) + if err != nil { + LogError("Write File Error, err:%v", err) + } + } + } + if !foundPid { + failGotDataCount++ + LogInfo("pid %d not exist", Pid) + } else { + failGotDataCount = 0 + } + } + if failGotDataCount >= 5 { + break + } + time.Sleep(time.Second * time.Duration(Interval)) + } + LogInfo("MaxFailCount Exceed or pid not exist, return") +} diff --git a/test/tools/v1/thop.py b/test/tools/v1/thop.py new file mode 100644 index 0000000000000000000000000000000000000000..16c38759e4cc4529b67658063e5f03c4983afdac --- /dev/null +++ b/test/tools/v1/thop.py @@ -0,0 +1,9 @@ +from thop import profile +from thop import clever_format + +model = YourModel() # your model here +input = torch.randn(1, 3, 224, 224) # your input tensor, 注意这里第一个分量是1，不是batch_size +macs, params = profile(model, inputs=(input, )) +flops = macs * 2 + +print("-MFLOPs ", "%.3f"%(flops / 10**6) , " -MParams: ", "%.3f"%(params / 10**6)) \ No newline at end of file diff --git a/test/tools/v2/50 b/test/tools/v2/50 new file mode 100644 index 0000000000000000000000000000000000000000..6e8f7ebbf6eea8d206e2b163545198ef7e8c586e --- /dev/null +++ b/test/tools/v2/50 @@ -0,0 +1,418 @@ +Sequential( + (input): Linear(in_features=64, out_features=684, bias=True) + (relu_0): ReLU() + (hidden_1): Linear(in_features=684, out_features=858, bias=True) + (relu_1): ReLU() + (hidden_2): Linear(in_features=858, out_features=500, bias=True) + (relu_2): ReLU() + (hidden_3): Linear(in_features=500, out_features=744, bias=True) + (relu_3): ReLU() + (hidden_4): Linear(in_features=744, out_features=500, bias=True) + (relu_4): ReLU() + (hidden_5): Linear(in_features=500, out_features=313, bias=True) + (relu_5): ReLU() + (hidden_6): Linear(in_features=313, out_features=85, bias=True) + (relu_6): ReLU() + (hidden_7): Linear(in_features=85, out_features=849, bias=True) + (relu_7): ReLU() + (hidden_8): Linear(in_features=849, out_features=521, bias=True) + (relu_8): ReLU() + (hidden_9): Linear(in_features=521, out_features=343, bias=True) + (relu_9): ReLU() + (hidden_10): Linear(in_features=343, out_features=550, bias=True) + (relu_10): ReLU() + (hidden_11): Linear(in_features=550, out_features=1003, bias=True) + (relu_11): ReLU() + (hidden_12): Linear(in_features=1003, out_features=513, bias=True) + (relu_12): ReLU() + (hidden_13): Linear(in_features=513, out_features=554, bias=True) + (relu_13): ReLU() + (hidden_14): Linear(in_features=554, out_features=146, bias=True) + (relu_14): ReLU() + (hidden_15): Linear(in_features=146, out_features=370, bias=True) + (relu_15): ReLU() + (hidden_16): Linear(in_features=370, out_features=774, bias=True) + (relu_16): ReLU() + (hidden_17): Linear(in_features=774, out_features=547, bias=True) + (relu_17): ReLU() + (hidden_18): Linear(in_features=547, out_features=605, bias=True) + (relu_18): ReLU() + (hidden_19): Linear(in_features=605, out_features=857, bias=True) + (relu_19): ReLU() + (hidden_20): Linear(in_features=857, out_features=475, bias=True) + (relu_20): ReLU() + (hidden_21): Linear(in_features=475, out_features=182, bias=True) + (relu_21): ReLU() + (hidden_22): Linear(in_features=182, out_features=899, bias=True) + (relu_22): ReLU() + (hidden_23): Linear(in_features=899, out_features=997, bias=True) + (relu_23): ReLU() + (hidden_24): Linear(in_features=997, out_features=120, bias=True) + (relu_24): ReLU() + (hidden_25): Linear(in_features=120, out_features=118, bias=True) + (relu_25): ReLU() + (hidden_26): Linear(in_features=118, out_features=501, bias=True) + (relu_26): ReLU() + (hidden_27): Linear(in_features=501, out_features=673, bias=True) + (relu_27): ReLU() + (hidden_28): Linear(in_features=673, out_features=417, bias=True) + (relu_28): ReLU() + (hidden_29): Linear(in_features=417, out_features=967, bias=True) + (relu_29): ReLU() + (hidden_30): Linear(in_features=967, out_features=265, bias=True) + (relu_30): ReLU() + (hidden_31): Linear(in_features=265, out_features=99, bias=True) + (relu_31): ReLU() + (hidden_32): Linear(in_features=99, out_features=215, bias=True) + (relu_32): ReLU() + (hidden_33): Linear(in_features=215, out_features=325, bias=True) + (relu_33): ReLU() + (hidden_34): Linear(in_features=325, out_features=490, bias=True) + (relu_34): ReLU() + (hidden_35): Linear(in_features=490, out_features=261, bias=True) + (relu_35): ReLU() + (hidden_36): Linear(in_features=261, out_features=242, bias=True) + (relu_36): ReLU() + (hidden_37): Linear(in_features=242, out_features=639, bias=True) + (relu_37): ReLU() + (hidden_38): Linear(in_features=639, out_features=840, bias=True) + (relu_38): ReLU() + (hidden_39): Linear(in_features=840, out_features=128, bias=True) + (relu_39): ReLU() + (hidden_40): Linear(in_features=128, out_features=457, bias=True) + (relu_40): ReLU() + (hidden_41): Linear(in_features=457, out_features=228, bias=True) + (relu_41): ReLU() + (hidden_42): Linear(in_features=228, out_features=263, bias=True) + (relu_42): ReLU() + (hidden_43): Linear(in_features=263, out_features=418, bias=True) + (relu_43): ReLU() + (hidden_44): Linear(in_features=418, out_features=149, bias=True) + (relu_44): ReLU() + (hidden_45): Linear(in_features=149, out_features=662, bias=True) + (relu_45): ReLU() + (hidden_46): Linear(in_features=662, out_features=887, bias=True) + (relu_46): ReLU() + (hidden_47): Linear(in_features=887, out_features=85, bias=True) + (relu_47): ReLU() + (hidden_48): Linear(in_features=85, out_features=291, bias=True) + (relu_48): ReLU() + (hidden_49): Linear(in_features=291, out_features=897, bias=True) + (relu_49): ReLU() + (hidden_50): Linear(in_features=897, out_features=291, bias=True) + (relu_50): ReLU() + (hidden_51): Linear(in_features=291, out_features=614, bias=True) + (relu_51): ReLU() + (hidden_52): Linear(in_features=614, out_features=490, bias=True) + (relu_52): ReLU() + (hidden_53): Linear(in_features=490, out_features=774, bias=True) + (relu_53): ReLU() + (hidden_54): Linear(in_features=774, out_features=746, bias=True) + (relu_54): ReLU() + (hidden_55): Linear(in_features=746, out_features=352, bias=True) + (relu_55): ReLU() + (hidden_56): Linear(in_features=352, out_features=322, bias=True) + (relu_56): ReLU() + (hidden_57): Linear(in_features=322, out_features=690, bias=True) + (relu_57): ReLU() + (hidden_58): Linear(in_features=690, out_features=343, bias=True) + (relu_58): ReLU() + (hidden_59): Linear(in_features=343, out_features=736, bias=True) + (relu_59): ReLU() + (hidden_60): Linear(in_features=736, out_features=754, bias=True) + (relu_60): ReLU() + (hidden_61): Linear(in_features=754, out_features=446, bias=True) + (relu_61): ReLU() + (hidden_62): Linear(in_features=446, out_features=500, bias=True) + (relu_62): ReLU() + (hidden_63): Linear(in_features=500, out_features=87, bias=True) + (relu_63): ReLU() + (hidden_64): Linear(in_features=87, out_features=994, bias=True) + (relu_64): ReLU() + (hidden_65): Linear(in_features=994, out_features=580, bias=True) + (relu_65): ReLU() + (hidden_66): Linear(in_features=580, out_features=185, bias=True) + (relu_66): ReLU() + (hidden_67): Linear(in_features=185, out_features=684, bias=True) + (relu_67): ReLU() + (hidden_68): Linear(in_features=684, out_features=124, bias=True) + (relu_68): ReLU() + (hidden_69): Linear(in_features=124, out_features=488, bias=True) + (relu_69): ReLU() + (hidden_70): Linear(in_features=488, out_features=530, bias=True) + (relu_70): ReLU() + (hidden_71): Linear(in_features=530, out_features=205, bias=True) + (relu_71): ReLU() + (hidden_72): Linear(in_features=205, out_features=678, bias=True) + (relu_72): ReLU() + (hidden_73): Linear(in_features=678, out_features=326, bias=True) + (relu_73): ReLU() + (hidden_74): Linear(in_features=326, out_features=128, bias=True) + (relu_74): ReLU() + (hidden_75): Linear(in_features=128, out_features=256, bias=True) + (relu_75): ReLU() + (hidden_76): Linear(in_features=256, out_features=764, bias=True) + (relu_76): ReLU() + (hidden_77): Linear(in_features=764, out_features=992, bias=True) + (relu_77): ReLU() + (hidden_78): Linear(in_features=992, out_features=604, bias=True) + (relu_78): ReLU() + (hidden_79): Linear(in_features=604, out_features=456, bias=True) + (relu_79): ReLU() + (hidden_80): Linear(in_features=456, out_features=962, bias=True) + (relu_80): ReLU() + (hidden_81): Linear(in_features=962, out_features=123, bias=True) + (relu_81): ReLU() + (hidden_82): Linear(in_features=123, out_features=686, bias=True) + (relu_82): ReLU() + (hidden_83): Linear(in_features=686, out_features=545, bias=True) + (relu_83): ReLU() + (hidden_84): Linear(in_features=545, out_features=248, bias=True) + (relu_84): ReLU() + (hidden_85): Linear(in_features=248, out_features=964, bias=True) + (relu_85): ReLU() + (hidden_86): Linear(in_features=964, out_features=201, bias=True) + (relu_86): ReLU() + (hidden_87): Linear(in_features=201, out_features=559, bias=True) + (relu_87): ReLU() + (hidden_88): Linear(in_features=559, out_features=919, bias=True) + (relu_88): ReLU() + (hidden_89): Linear(in_features=919, out_features=887, bias=True) + (relu_89): ReLU() + (hidden_90): Linear(in_features=887, out_features=588, bias=True) + (relu_90): ReLU() + (hidden_91): Linear(in_features=588, out_features=87, bias=True) + (relu_91): ReLU() + (hidden_92): Linear(in_features=87, out_features=134, bias=True) + (relu_92): ReLU() + (hidden_93): Linear(in_features=134, out_features=830, bias=True) + (relu_93): ReLU() + (hidden_94): Linear(in_features=830, out_features=657, bias=True) + (relu_94): ReLU() + (hidden_95): Linear(in_features=657, out_features=825, bias=True) + (relu_95): ReLU() + (hidden_96): Linear(in_features=825, out_features=468, bias=True) + (relu_96): ReLU() + (hidden_97): Linear(in_features=468, out_features=777, bias=True) + (relu_97): ReLU() + (hidden_98): Linear(in_features=777, out_features=243, bias=True) + (relu_98): ReLU() + (hidden_99): Linear(in_features=243, out_features=673, bias=True) + (relu_99): ReLU() + (hidden_100): Linear(in_features=673, out_features=420, bias=True) + (relu_100): ReLU() + (hidden_101): Linear(in_features=420, out_features=188, bias=True) + (relu_101): ReLU() + (hidden_102): Linear(in_features=188, out_features=873, bias=True) + (relu_102): ReLU() + (hidden_103): Linear(in_features=873, out_features=785, bias=True) + (relu_103): ReLU() + (hidden_104): Linear(in_features=785, out_features=849, bias=True) + (relu_104): ReLU() + (hidden_105): Linear(in_features=849, out_features=365, bias=True) + (relu_105): ReLU() + (hidden_106): Linear(in_features=365, out_features=868, bias=True) + (relu_106): ReLU() + (hidden_107): Linear(in_features=868, out_features=750, bias=True) + (relu_107): ReLU() + (hidden_108): Linear(in_features=750, out_features=720, bias=True) + (relu_108): ReLU() + (hidden_109): Linear(in_features=720, out_features=653, bias=True) + (relu_109): ReLU() + (hidden_110): Linear(in_features=653, out_features=654, bias=True) + (relu_110): ReLU() + (hidden_111): Linear(in_features=654, out_features=616, bias=True) + (relu_111): ReLU() + (hidden_112): Linear(in_features=616, out_features=160, bias=True) + (relu_112): ReLU() + (hidden_113): Linear(in_features=160, out_features=764, bias=True) + (relu_113): ReLU() + (hidden_114): Linear(in_features=764, out_features=942, bias=True) + (relu_114): ReLU() + (hidden_115): Linear(in_features=942, out_features=599, bias=True) + (relu_115): ReLU() + (hidden_116): Linear(in_features=599, out_features=256, bias=True) + (relu_116): ReLU() + (hidden_117): Linear(in_features=256, out_features=422, bias=True) + (relu_117): ReLU() + (hidden_118): Linear(in_features=422, out_features=188, bias=True) + (relu_118): ReLU() + (hidden_119): Linear(in_features=188, out_features=898, bias=True) + (relu_119): ReLU() + (hidden_120): Linear(in_features=898, out_features=552, bias=True) + (relu_120): ReLU() + (hidden_121): Linear(in_features=552, out_features=583, bias=True) + (relu_121): ReLU() + (hidden_122): Linear(in_features=583, out_features=299, bias=True) + (relu_122): ReLU() + (hidden_123): Linear(in_features=299, out_features=251, bias=True) + (relu_123): ReLU() + (hidden_124): Linear(in_features=251, out_features=148, bias=True) + (relu_124): ReLU() + (hidden_125): Linear(in_features=148, out_features=557, bias=True) + (relu_125): ReLU() + (hidden_126): Linear(in_features=557, out_features=144, bias=True) + (relu_126): ReLU() + (hidden_127): Linear(in_features=144, out_features=617, bias=True) + (relu_127): ReLU() + (hidden_128): Linear(in_features=617, out_features=760, bias=True) + (relu_128): ReLU() + (hidden_129): Linear(in_features=760, out_features=942, bias=True) + (relu_129): ReLU() + (hidden_130): Linear(in_features=942, out_features=615, bias=True) + (relu_130): ReLU() + (hidden_131): Linear(in_features=615, out_features=967, bias=True) + (relu_131): ReLU() + (hidden_132): Linear(in_features=967, out_features=371, bias=True) + (relu_132): ReLU() + (hidden_133): Linear(in_features=371, out_features=725, bias=True) + (relu_133): ReLU() + (hidden_134): Linear(in_features=725, out_features=72, bias=True) + (relu_134): ReLU() + (hidden_135): Linear(in_features=72, out_features=638, bias=True) + (relu_135): ReLU() + (hidden_136): Linear(in_features=638, out_features=705, bias=True) + (relu_136): ReLU() + (hidden_137): Linear(in_features=705, out_features=574, bias=True) + (relu_137): ReLU() + (hidden_138): Linear(in_features=574, out_features=397, bias=True) + (relu_138): ReLU() + (hidden_139): Linear(in_features=397, out_features=94, bias=True) + (relu_139): ReLU() + (hidden_140): Linear(in_features=94, out_features=914, bias=True) + (relu_140): ReLU() + (hidden_141): Linear(in_features=914, out_features=520, bias=True) + (relu_141): ReLU() + (hidden_142): Linear(in_features=520, out_features=468, bias=True) + (relu_142): ReLU() + (hidden_143): Linear(in_features=468, out_features=534, bias=True) + (relu_143): ReLU() + (hidden_144): Linear(in_features=534, out_features=137, bias=True) + (relu_144): ReLU() + (hidden_145): Linear(in_features=137, out_features=230, bias=True) + (relu_145): ReLU() + (hidden_146): Linear(in_features=230, out_features=98, bias=True) + (relu_146): ReLU() + (hidden_147): Linear(in_features=98, out_features=107, bias=True) + (relu_147): ReLU() + (hidden_148): Linear(in_features=107, out_features=632, bias=True) + (relu_148): ReLU() + (hidden_149): Linear(in_features=632, out_features=528, bias=True) + (relu_149): ReLU() + (hidden_150): Linear(in_features=528, out_features=403, bias=True) + (relu_150): ReLU() + (hidden_151): Linear(in_features=403, out_features=951, bias=True) + (relu_151): ReLU() + (hidden_152): Linear(in_features=951, out_features=1012, bias=True) + (relu_152): ReLU() + (hidden_153): Linear(in_features=1012, out_features=1020, bias=True) + (relu_153): ReLU() + (hidden_154): Linear(in_features=1020, out_features=121, bias=True) + (relu_154): ReLU() + (hidden_155): Linear(in_features=121, out_features=293, bias=True) + (relu_155): ReLU() + (hidden_156): Linear(in_features=293, out_features=955, bias=True) + (relu_156): ReLU() + (hidden_157): Linear(in_features=955, out_features=211, bias=True) + (relu_157): ReLU() + (hidden_158): Linear(in_features=211, out_features=994, bias=True) + (relu_158): ReLU() + (hidden_159): Linear(in_features=994, out_features=603, bias=True) + (relu_159): ReLU() + (hidden_160): Linear(in_features=603, out_features=465, bias=True) + (relu_160): ReLU() + (hidden_161): Linear(in_features=465, out_features=753, bias=True) + (relu_161): ReLU() + (hidden_162): Linear(in_features=753, out_features=78, bias=True) + (relu_162): ReLU() + (hidden_163): Linear(in_features=78, out_features=355, bias=True) + (relu_163): ReLU() + (hidden_164): Linear(in_features=355, out_features=215, bias=True) + (relu_164): ReLU() + (hidden_165): Linear(in_features=215, out_features=928, bias=True) + (relu_165): ReLU() + (hidden_166): Linear(in_features=928, out_features=659, bias=True) + (relu_166): ReLU() + (hidden_167): Linear(in_features=659, out_features=298, bias=True) + (relu_167): ReLU() + (hidden_168): Linear(in_features=298, out_features=208, bias=True) + (relu_168): ReLU() + (hidden_169): Linear(in_features=208, out_features=950, bias=True) + (relu_169): ReLU() + (hidden_170): Linear(in_features=950, out_features=166, bias=True) + (relu_170): ReLU() + (hidden_171): Linear(in_features=166, out_features=206, bias=True) + (relu_171): ReLU() + (hidden_172): Linear(in_features=206, out_features=589, bias=True) + (relu_172): ReLU() + (hidden_173): Linear(in_features=589, out_features=550, bias=True) + (relu_173): ReLU() + (hidden_174): Linear(in_features=550, out_features=929, bias=True) + (relu_174): ReLU() + (hidden_175): Linear(in_features=929, out_features=284, bias=True) + (relu_175): ReLU() + (hidden_176): Linear(in_features=284, out_features=263, bias=True) + (relu_176): ReLU() + (hidden_177): Linear(in_features=263, out_features=87, bias=True) + (relu_177): ReLU() + (hidden_178): Linear(in_features=87, out_features=241, bias=True) + (relu_178): ReLU() + (hidden_179): Linear(in_features=241, out_features=109, bias=True) + (relu_179): ReLU() + (hidden_180): Linear(in_features=109, out_features=837, bias=True) + (relu_180): ReLU() + (hidden_181): Linear(in_features=837, out_features=146, bias=True) + (relu_181): ReLU() + (hidden_182): Linear(in_features=146, out_features=919, bias=True) + (relu_182): ReLU() + (hidden_183): Linear(in_features=919, out_features=855, bias=True) + (relu_183): ReLU() + (hidden_184): Linear(in_features=855, out_features=892, bias=True) + (relu_184): ReLU() + (hidden_185): Linear(in_features=892, out_features=280, bias=True) + (relu_185): ReLU() + (hidden_186): Linear(in_features=280, out_features=155, bias=True) + (relu_186): ReLU() + (hidden_187): Linear(in_features=155, out_features=864, bias=True) + (relu_187): ReLU() + (hidden_188): Linear(in_features=864, out_features=65, bias=True) + (relu_188): ReLU() + (hidden_189): Linear(in_features=65, out_features=551, bias=True) + (relu_189): ReLU() + (hidden_190): Linear(in_features=551, out_features=464, bias=True) + (relu_190): ReLU() + (hidden_191): Linear(in_features=464, out_features=636, bias=True) + (relu_191): ReLU() + (hidden_192): Linear(in_features=636, out_features=266, bias=True) + (relu_192): ReLU() + (hidden_193): Linear(in_features=266, out_features=384, bias=True) + (relu_193): ReLU() + (hidden_194): Linear(in_features=384, out_features=528, bias=True) + (relu_194): ReLU() + (hidden_195): Linear(in_features=528, out_features=357, bias=True) + (relu_195): ReLU() + (hidden_196): Linear(in_features=357, out_features=967, bias=True) + (relu_196): ReLU() + (hidden_197): Linear(in_features=967, out_features=554, bias=True) + (relu_197): ReLU() + (hidden_198): Linear(in_features=554, out_features=600, bias=True) + (relu_198): ReLU() + (hidden_199): Linear(in_features=600, out_features=311, bias=True) + (relu_199): ReLU() + (output): Linear(in_features=311, out_features=10, bias=True) + + shape:torch.Size([251, 64]),macs:13.057G,params:52.123M,batchSize:251,relu_count:200,embedding_layer_count:0,embedding_size_sum:0,embedding_dim_sum:0,embedding_size_max:0,embedding_dim_max:0 + +45normal: 466 +- 80emb: 496,490 +- 80normal: 518,543 +- 80normal-new: 503 + +80emb: 474 +- 45normal:499,488 + +80normal: 466 +- 45normal:671, + +80normal-new:474 +- 45normal:636 diff --git a/test/tools/v2/README.md b/test/tools/v2/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d001dc5c3f0f650153e4ab238e9eec61481ce19e --- /dev/null +++ b/test/tools/v2/README.md @@ -0,0 +1,13 @@ +# 深度学习负载自动生成与资源利用监控脚本 + +## 原理 + +- python脚本生成MLP网络模型，可带embedding +- go脚本运行，并通过dcgm记录细粒度的GPU使用情况 +- 每个benchmark运行十分钟，记录到文件中 + +## 记录 + +- 小：`linear = 20; min = 64; max = 256` +- 大linear: `linear = 50-100; min = 64; max = 256` +- 大层：`linear = 20; min = 512; max = 2048` \ No newline at end of file diff --git a/test/tools/v2/analyze.py b/test/tools/v2/analyze.py new file mode 100644 index 0000000000000000000000000000000000000000..4089c7d55fa64d8b1f14c2df309c64b05c5f0ad6 --- /dev/null +++ b/test/tools/v2/analyze.py @@ -0,0 +1,114 @@ +import os +import numpy as np + +filePath = './' +fileList = os.listdir(filePath) + +inputField = ['gpu_util','mem_copy_util','frame_buffer_used_mib','sm_active','sm_occupied','tensor_util','dram_active','fb64_active','fb32_active','fb16_active'] +outputTrainField = ['macs', + 'params', + 'batchSize', + 'relu_count', + 'embedding_layer_count', + 'embedding_size_sum', + 'embedding_dim_sum', + 'embedding_size_max', + 'embedding_dim_max' + ] +outputLabelsField = [ 'gpu_util_avg', + 'gpu_util_std', + 'fb_usage_mib_max', + 'sm_active_avg', + 'sm_active_std', + 'sm_occupied_avg', + 'sm_occupied_std', + 'dram_active_avg', + 'dram_active_std', + 'fb32_active_avg', + 'fb32_active_std' + ] +outputs = [] + +def is_number(s): + try: + float(s) + return True + except ValueError: + pass + return False + +writeData = [] +for f in fileList: + canAppend = True + output = [] + with open(f, 'r', encoding='utf-8') as rf: + lines = rf.readlines() + train_line = lines[0].split(',') + for i in range(1, len(train_line)): + name, num = train_line.split(':') + if name == 'macs' or name == 'params': + if num[-1] == 'K': + num = float(num[0:-1]) * 10 ** 3 + elif num[-1] == 'M': + num = float(num[0:-1]) * 10 ** 6 + elif num[-1] == 'G': + num = float(num[0:-1]) * 10 ** 9 + else: + num = float(num) + else: + num = float(num) + if name == outputTrainField[i-1]: + output.append(num) + else: + print('warning: file {} index {} not match, expected {}, got {}'.format(f, i, outputTrainField[i-1], name)) + canAppend = False + break + if not canAppend: + continue + canAppend = False + numbers = [] + memMax = 0 + for i in range(1, len(lines)): + nums = lines[i].split(' ') + realNums = [] + if len(nums) < 1 and nums[0] != 'GPU': + continue + canAppend = True + for item in nums: + if is_number(item): + realNums.append(float(item)) + if len(realNums) != len(inputField) + 1: + print('warning: file {} line {} not match inputField, got len {}'.format(f, i, len(realNums))) + canAppend = False + break + numbers.append(realNums[1:]) + if realNums[3] > memMax: + memMax = realNums[3] + if not canAppend: + continue + numbers = np.array(numbers) + avg = np.average(numbers,0) + std = np.std(numbers,0) + # gpu_util + output.append(avg[0]) + output.append(std[0]) + # fb_usage_max + output.append(memMax) + # sm_active + output.append(avg[3]) + output.append(std[3]) + # sm_occupied + output.append(avg[4]) + output.append(std[4]) + # dram_active + output.append(avg[6]) + output.append(std[6]) + # fb32_active + output.append(avg[8]) + output.append(std[8]) + writeData.append(output) +with open('./analyze.csv','w') as wf: + head = outputTrainField.copy() + wf.write(','.join(head.extend(outputLabelsField)) + '\n') + for line in writeData: + wf.write(','.join(line) + '\n') \ No newline at end of file diff --git a/test/tools/v2/auto-run b/test/tools/v2/auto-run new file mode 100755 index 0000000000000000000000000000000000000000..8a639257577eea20b75394b6af6be48558134dd5 Binary files /dev/null and b/test/tools/v2/auto-run differ diff --git a/test/tools/v2/auto_run.go.b b/test/tools/v2/auto_run.go.b new file mode 100644 index 0000000000000000000000000000000000000000..bb04e0091238eafc9c23712f52115834561a785f --- /dev/null +++ b/test/tools/v2/auto_run.go.b @@ -0,0 +1,301 @@ +package main + +import ( + "flag" + "fmt" + "io/ioutil" + "math/rand" + "os" + "os/exec" + "strings" + "time" +) + +const ( + MIN_MODE int = iota + MAX_LINEAR_MODE + MAX_LAYER_MODE + NORMAL + EMBEDDING + EMBEDDING_BIG_MLP +) + +const ( + NORMAL_GPU int = iota + PROFILE_GPU +) + +var ( + linear = 50 + minLayer = 64 + maxLayer = 254 + + mode = MIN_MODE + podName = "lpx-resnet-1" + + gpuMode = PROFILE_GPU + + featureCount = 0 + featureDimRange = 16 + embeddingSizeRange = 100 + embeddingDimRange = 64 + + timeLayout = "2006-01-02 15:04:05" +) + +func logErr(format string, v ...interface{}) { + fmt.Printf("[Error] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func logInfo(format string, v ...interface{}) { + fmt.Printf("[Info] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func logWarn(format string, v ...interface{}) { + fmt.Printf("[Warn] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func main() { + flag.IntVar(&mode, "mode", MIN_MODE, "running mode: min_mode/max_linear_mode/max_layer_mode, default min_mode") + flag.StringVar(&podName, "pod_name", "lpx-resnet-1", "pod name") + flag.IntVar(&gpuMode, "gpu_mode", PROFILE_GPU, "gpu mode: profile or normal") + + flag.Parse() + + failCount := 0 + + for failCount <= 5 { + // get docker container + containerCmd := exec.Command("docker", "ps", "-a") + out, err := containerCmd.CombinedOutput() + if err != nil { + logErr("get containers err:%v, output:%s", err, string(out)) + os.Exit(-1) + } + + var containerID string + for _, line := range strings.Split(string(out), "\n") { + if strings.Contains(line, podName) && !strings.Contains(line, "pause") { + logInfo("find container: %s", line) + containerID = strings.Split(line, " ")[0] + logInfo("containerID: %s", containerID) + break + } + } + if len(containerID) == 0 { + logErr("find container failed: not exist!, output:%s", string(out)) + os.Exit(-1) + } + + for { + // get GPU-ID + containerCmd = exec.Command("docker", "exec", containerID, "nvidia-smi", "-L") + out, err = containerCmd.CombinedOutput() + if err != nil { + logErr("get GPU Instance ID failed, err:%v, output:%s", err, string(out)) + break + } + var gpuInstance string + uuids := strings.Split(string(out), "UUID:") + if len(uuids) != 2 { + logErr("find gpu instance failed, output:%s", string(out)) + break + } + gpuInstance = strings.Split(uuids[1], ")")[0] + gpuInstance = strings.Trim(gpuInstance, " \t") + if len(gpuInstance) == 0 { + logErr("find gpuInstance failed, output:%s", string(out)) + break + } + logInfo("gpuInstance: %s", gpuInstance) + + // clean tmp files + containerCmd = exec.Command("docker", "exec", containerID, "mkdir", "-p", "/status") + out, err = containerCmd.CombinedOutput() + if err != nil || len(out) != 0 { + logErr("mkdir /status failed, err:%v, output:%s", err, string(out)) + break + } + containerCmd = exec.Command("docker", "exec", containerID, "rm", "/status/begin", "/status/end", "/status/info") + out, err = containerCmd.CombinedOutput() + if err != nil || len(out) != 0 { + logWarn("rm /status/* failed, err:%v, output:%s", err, string(out)) + } + + // random params + logInfo("running mode: %d", mode) + if mode == MIN_MODE { + logInfo("Min mode") + linear = 50 + minLayer = 64 + maxLayer = 256 + featureCount = 0 + } else if mode == MAX_LINEAR_MODE { + logInfo("Max Linear mode") + linear = rand.Intn(250) + 50 + minLayer = 64 + maxLayer = 256 + featureCount = 0 + } else if mode == MAX_LAYER_MODE { + logInfo("Max Layer mode") + linear = 20 + minLayer = 512 + maxLayer = 4096 + featureCount = 0 + } else if mode == NORMAL { + logInfo("NORMAL mode") + linear = rand.Intn(280) + 20 + minLayer = 64 + maxLayer = 2048 + featureCount = 0 + } else if mode == EMBEDDING { + logInfo("Embedding mode") + linear = rand.Intn(10) + 10 + minLayer = 32 + maxLayer = 256 + featureCount = rand.Intn(10) + 1 + featureDimRange = 16 + embeddingSizeRange = 100 + embeddingDimRange = 64 + } else if mode == EMBEDDING_BIG_MLP { + logInfo("Embedding big mlp mode") + linear = rand.Intn(280) + 20 + minLayer = 64 + maxLayer = 2048 + featureCount = 2 + featureDimRange = 16 + embeddingSizeRange = 50 + embeddingDimRange = 16 + } + + // docker exec python script + containerCmd = exec.Command("docker", "exec", containerID, "python", "/gen.py", + "--linear", fmt.Sprintf("%d", linear), + "--min", fmt.Sprintf("%d", minLayer), + "--max", fmt.Sprintf("%d", maxLayer), + "--feature_count", fmt.Sprintf("%d", featureCount), + "--feature_dim_range", fmt.Sprintf("%d", featureDimRange), + "--embedding_size_range", fmt.Sprintf("%d", embeddingSizeRange), + "--embedding_dim_range", fmt.Sprintf("%d", embeddingDimRange), + ) + stopChan := make(chan struct{}) + var stdout []byte + var procErr error + go func() { + stdout, procErr = containerCmd.CombinedOutput() + close(stopChan) + }() + + // wait begin + waitBegin := make(chan struct{}) + go func() { + for { + subCmd := exec.Command("docker", "exec", containerID, "cat", "/status/begin") + out, err = subCmd.CombinedOutput() + if string(out) == "begin" { + close(waitBegin) + return + } + logInfo("wait python script begin") + select { + case <-stopChan: + return + case <-time.After(time.Second): + continue + } + } + }() + + needBreak := false + select { + case <-waitBegin: + logInfo("python script begin") + case <-stopChan: + logErr("python script exit before training begin") + logErr("python script err:%v", procErr) + logErr("python script output:%s", string(stdout)) + needBreak = true + } + if needBreak { + break + } + + // start dcgmi status dmon + dcgmiExit := make(chan struct{}) + var dcgmOutput string + var dcgmErr error + go func() { + defer close(dcgmiExit) + defer func() { + dcgmOutput = string(out) + }() + subCmd := exec.Command("dcgmi", "dmon", "-i", gpuInstance, "-e", "203,204,252,1002,1003,1004,1005,1006,1007,1008", "-c", "600") + if gpuMode == NORMAL_GPU { + logInfo("GPU not enable profile, fallback to normal dcgmi") + subCmd = exec.Command("dcgmi", "dmon", "-i", gpuInstance, "-e", "203,204,252", "-c", "600") + } + out, dcgmErr = subCmd.CombinedOutput() + if err != nil { + logErr("dcgmi err:%v, output:%s", err, out) + return + } + }() + + // wait end or exit + counter := 0 + for { + counter++ + exitFlag := false + select { + case <-dcgmiExit: + exitFlag = true + case <-stopChan: + logWarn("python proc exit") + exitFlag = true + case <-time.After(time.Minute): + logInfo("python running for %d minutes", counter) + } + if exitFlag { + break + } + } + + if dcgmErr != nil { + os.Exit(-1) + } + <-stopChan + + if procErr != nil { + logErr("python script err:%v, output:%s", procErr, string(stdout)) + break + } + + // get model info + containerCmd = exec.Command("docker", "exec", containerID, "cat", "/status/info") + out, err = containerCmd.CombinedOutput() + if err != nil { + logErr("get model info failed, err:%v, output:%s", err, string(out)) + break + } + modelInfo := string(out) + "\n" + + // record dcgm/model info to record file, file-name: time-GPUid.csv + now := time.Now().Local().Format(timeLayout) + now = strings.ReplaceAll(now, " ", "-") + now = strings.ReplaceAll(now, ":", "-") + fileName := fmt.Sprintf("%s-%s.txt", now, gpuInstance) + output := modelInfo + dcgmOutput + ioutil.WriteFile(fileName, []byte(output), 0666) + logInfo("success record to file: %s", fileName) + failCount = 0 + } + + failCount++ + containerCmd = exec.Command("docker", "exec", containerID, "curl", "http://127.0.0.1:8888/exit") + _, _ = containerCmd.CombinedOutput() + time.Sleep(5 * time.Second) + } + + logErr("fail count exceed, exit") + +} diff --git a/test/tools/v2/auto_run_fp32_exp b/test/tools/v2/auto_run_fp32_exp new file mode 100755 index 0000000000000000000000000000000000000000..bd3fa9005a95465dcbca38a502ed67ac6df13641 Binary files /dev/null and b/test/tools/v2/auto_run_fp32_exp differ diff --git a/test/tools/v2/auto_run_fp32_exp.go b/test/tools/v2/auto_run_fp32_exp.go new file mode 100644 index 0000000000000000000000000000000000000000..b7039b08c051c89eef4938a3a764b2bf1e1bd427 --- /dev/null +++ b/test/tools/v2/auto_run_fp32_exp.go @@ -0,0 +1,417 @@ +package main + +import ( + "flag" + "fmt" + "io/ioutil" + "math/rand" + "os" + "os/exec" + "strconv" + "strings" + "time" +) + +const ( + MIN_MODE int = iota + MAX_LINEAR_MODE + MAX_LAYER_MODE + NORMAL + EMBEDDING + EMBEDDING_BIG_MLP +) + +const ( + NORMAL_GPU int = iota + PROFILE_GPU +) + +var ( + linear = 50 + minLayer = 64 + maxLayer = 254 + + mode = MIN_MODE + podNameTrainLow = "lpx-resnet-1" + podNameEmbeddingHigh = "lpx-resnet-2" + podNameNormalHigh = "lpx-resnet-3" + + gpuMode = PROFILE_GPU + + featureCount = 0 + featureDimRange = 16 + embeddingSizeRange = 100 + embeddingDimRange = 64 + + timeLayout = "2006-01-02 15:04:05" +) + +func logErr(format string, v ...interface{}) { + fmt.Printf("[Error] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func logInfo(format string, v ...interface{}) { + fmt.Printf("[Info] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func logWarn(format string, v ...interface{}) { + fmt.Printf("[Warn] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func runTrain(modelID int, isAlone bool, mixWithEmbedding bool, containerID string, isTrainingBaseline bool, isEmbedding bool, featureCount, embeddingSizeRangeMin, embeddingSizeRangeMax int, minLayer, maxLayer int) error { + // get GPU-ID + containerCmd := exec.Command("docker", "exec", containerID, "nvidia-smi", "-L") + out, err := containerCmd.CombinedOutput() + if err != nil { + logErr("get GPU Instance ID failed, err:%v, output:%s", err, string(out)) + return err + } + var gpuInstance string + uuids := strings.Split(string(out), "UUID:") + if len(uuids) != 2 { + logErr("find gpu instance failed, output:%s", string(out)) + return fmt.Errorf("find gpu instance failed, output:%s", string(out)) + } + gpuInstance = strings.Split(uuids[1], ")")[0] + gpuInstance = strings.Trim(gpuInstance, " \t") + if len(gpuInstance) == 0 { + logErr("find gpuInstance failed, output:%s", string(out)) + return fmt.Errorf("find gpuInstance failed, output:%s", string(out)) + } + logInfo("gpuInstance: %s", gpuInstance) + + // clean tmp files + containerCmd = exec.Command("docker", "exec", containerID, "mkdir", "-p", "/status") + out, err = containerCmd.CombinedOutput() + if err != nil || len(out) != 0 { + logErr("mkdir /status failed, err:%v, output:%s", err, string(out)) + return fmt.Errorf("mkdir /status failed, err:%v, output:%s", err, string(out)) + } + containerCmd = exec.Command("docker", "exec", containerID, "rm", "/status/begin", "/status/end", "/status/info") + out, err = containerCmd.CombinedOutput() + if err != nil || len(out) != 0 { + logWarn("rm /status/* failed, err:%v, output:%s", err, string(out)) + } + + // random params + // logInfo("running mode: %d", mode) + train := 0 + if isTrainingBaseline { + linear = 100 + minLayer = 602 + maxLayer = 602 + featureCount = 0 + train = 1 + } else if isEmbedding { + linear = 20 + minLayer = 256 + maxLayer = 256 + // featureCount = featureCount + featureDimRange = 8 + embeddingSizeRange = embeddingSizeRangeMax + embeddingDimRange = 32 + train = 0 + } else { + linear = 100 + // minLayer = minLayer + // maxLayer = maxLayer + featureCount = 0 + train = 0 + } + + // docker exec python script + containerCmd = exec.Command("docker", "exec", containerID, "python", "/gen.py", + "--linear", fmt.Sprintf("%d", linear), + "--min", fmt.Sprintf("%d", minLayer), + "--max", fmt.Sprintf("%d", maxLayer), + "--feature_count", fmt.Sprintf("%d", featureCount), + "--feature_dim_range", fmt.Sprintf("%d", featureDimRange), + "--embedding_size_range", fmt.Sprintf("%d", embeddingSizeRange), + "--embedding_size_range_min", fmt.Sprintf("%d", embeddingSizeRangeMin), + "--embedding_dim_range", fmt.Sprintf("%d", embeddingDimRange), + "--train", fmt.Sprintf("%d", train), + ) + logInfo("args: %v", containerCmd.Args) + stopChan := make(chan struct{}) + var stdout []byte + var procErr error + go func() { + stdout, procErr = containerCmd.CombinedOutput() + close(stopChan) + }() + + // wait begin + waitBegin := make(chan struct{}) + go func() { + for { + subCmd := exec.Command("docker", "exec", containerID, "cat", "/status/begin") + out, err = subCmd.CombinedOutput() + if string(out) == "begin" { + close(waitBegin) + return + } + logInfo("wait python script begin") + select { + case <-stopChan: + return + case <-time.After(time.Second): + continue + } + } + }() + + needBreak := false + select { + case <-waitBegin: + logInfo("python script begin") + case <-stopChan: + logErr("python script exit before training begin") + logErr("python script err:%v", procErr) + logErr("python script output:%s", string(stdout)) + needBreak = true + } + if needBreak { + return fmt.Errorf("python script exit before training begin") + } + begin := time.Now() + + // start dcgmi status dmon + dcgmiExit := make(chan struct{}) + var dcgmOutput string + var dcgmErr error + go func() { + defer close(dcgmiExit) + defer func() { + dcgmOutput = string(out) + }() + subCmd := exec.Command("dcgmi", "dmon", "-i", gpuInstance, "-e", "203,204,252,1002,1003,1004,1005,1006,1007,1008", "-c", "480") + if gpuMode == NORMAL_GPU { + logInfo("GPU not enable profile, fallback to normal dcgmi") + subCmd = exec.Command("dcgmi", "dmon", "-i", gpuInstance, "-e", "203,204,252", "-c", "600") + } + out, dcgmErr = subCmd.CombinedOutput() + if err != nil { + logErr("dcgmi err:%v, output:%s", err, out) + return + } + }() + + // wait end or exit + counter := 0 + for { + counter++ + exitFlag := false + select { + case <-dcgmiExit: + exitFlag = true + case <-stopChan: + logWarn("python proc exit") + exitFlag = true + case <-time.After(time.Minute): + logInfo("python running for %d minutes", counter) + } + if exitFlag { + break + } + } + + if dcgmErr != nil { + os.Exit(-1) + } + logInfo("wait python and dcgm all exit") + <-stopChan + <-dcgmiExit + logInfo("python and dcgm all exit") + end := time.Now() + + if procErr != nil { + logErr("python script err:%v, output:%s", procErr, string(stdout)) + return procErr + } + + // get model info + containerCmd = exec.Command("docker", "exec", containerID, "cat", "/status/info") + out, err = containerCmd.CombinedOutput() + if err != nil { + logErr("get model info failed, err:%v, output:%s", err, string(out)) + return err + } + modelInfo := string(out) + "\n" + + // record dcgm/model info to record file, file-name: time-GPUid.csv + now := time.Now().Local().Format(timeLayout) + now = strings.ReplaceAll(now, " ", "-") + now = strings.ReplaceAll(now, ":", "-") + + var fileName string + if isAlone { + if isTrainingBaseline { + fileName = fmt.Sprintf("alone-model-%d-baseline-%s-%s.txt", modelID, now, gpuInstance) + } else if isEmbedding { + fileName = fmt.Sprintf("alone-model-%d-embedding-%s-%s.txt", modelID, now, gpuInstance) + } else { + fileName = fmt.Sprintf("alone-model-%d-normal-%s-%s.txt", modelID, now, gpuInstance) + } + } else if mixWithEmbedding { + if isTrainingBaseline { + fileName = fmt.Sprintf("mwithemb-model-%d-baseline-%s-%s.txt", modelID, now, gpuInstance) + } else if isEmbedding { + fileName = fmt.Sprintf("mwithemb-model-%d-embedding-%s-%s.txt", modelID, now, gpuInstance) + } else { + fileName = fmt.Sprintf("mwithemb-model-%d-normal-%s-%s.txt", modelID, now, gpuInstance) + } + } else { + if isTrainingBaseline { + fileName = fmt.Sprintf("mwithnor-model-%d-baseline-%s-%s.txt", modelID, now, gpuInstance) + } else if isEmbedding { + fileName = fmt.Sprintf("mwithnor-model-%d-embedding-%s-%s.txt", modelID, now, gpuInstance) + } else { + fileName = fmt.Sprintf("mwithnor-model-%d-normal-%s-%s.txt", modelID, now, gpuInstance) + } + } + + output := modelInfo + dcgmOutput + "\n" + strconv.Itoa(int(end.Sub(begin).Seconds())) + ioutil.WriteFile(fileName, []byte(output), 0666) + logInfo("success record to file: %s", fileName) + return nil +} + +func main() { + flag.IntVar(&mode, "mode", MIN_MODE, "running mode: min_mode/max_linear_mode/max_layer_mode, default min_mode") + flag.StringVar(&podNameTrainLow, "pod_name_low", "lpx-resnet-1", "pod name") + flag.StringVar(&podNameEmbeddingHigh, "pod_name_emb_high", "lpx-resnet-2", "pod name emb high") + flag.StringVar(&podNameNormalHigh, "pod_name_normal_high", "lpx-resnet-3", "pod name normal high") + flag.IntVar(&gpuMode, "gpu_mode", PROFILE_GPU, "gpu mode: profile or normal") + + flag.Parse() + + failCount := 0 + rand.Seed(time.Now().Unix()) + + for failCount <= 5 { + // get docker container + containerCmd := exec.Command("docker", "ps", "-a") + out, err := containerCmd.CombinedOutput() + if err != nil { + logErr("get containers err:%v, output:%s", err, string(out)) + os.Exit(-1) + } + + var containerIDTrainLow string + for _, line := range strings.Split(string(out), "\n") { + if strings.Contains(line, podNameTrainLow) && !strings.Contains(line, "pause") { + logInfo("find container: %s", line) + containerIDTrainLow = strings.Split(line, " ")[0] + logInfo("containerID: %s", containerIDTrainLow) + break + } + } + if len(containerIDTrainLow) == 0 { + logErr("find container failed: not exist!, output:%s", string(out)) + os.Exit(-1) + } + + var containerIDEmbHigh string + for _, line := range strings.Split(string(out), "\n") { + if strings.Contains(line, podNameEmbeddingHigh) && !strings.Contains(line, "pause") { + logInfo("find container: %s", line) + containerIDEmbHigh = strings.Split(line, " ")[0] + logInfo("containerID: %s", containerIDEmbHigh) + break + } + } + if len(containerIDEmbHigh) == 0 { + logErr("find container failed: not exist!, output:%s", string(out)) + os.Exit(-1) + } + + var containerIDNormalHigh string + for _, line := range strings.Split(string(out), "\n") { + if strings.Contains(line, podNameNormalHigh) && !strings.Contains(line, "pause") { + logInfo("find container: %s", line) + containerIDNormalHigh = strings.Split(line, " ")[0] + logInfo("containerID: %s", containerIDNormalHigh) + break + } + } + if len(containerIDNormalHigh) == 0 { + logErr("find container failed: not exist!, output:%s", string(out)) + os.Exit(-1) + } + + logInfo("run normal baseline") + err = runTrain(0, true, false, containerIDTrainLow, true, false, 0, 0, 0, 602, 602) + if err != nil { + logErr("failed:%v", err) + os.Exit(-1) + } + modelID := 1 + + for { + logInfo("new train") + time.Sleep(time.Second * 10) + featureCount := rand.Intn(8) + 2 + embeddingSizeRangeMin := rand.Intn(80) + 20 + embeddingSizeRangeMax := rand.Intn(100-embeddingSizeRangeMin) + embeddingSizeRangeMin + logInfo("run embeding high %d", modelID) + err := runTrain(modelID, true, false, containerIDEmbHigh, false, true, featureCount, embeddingSizeRangeMin, embeddingSizeRangeMax, 0, 0) + if err != nil { + logErr("failed:%v", err) + break + } + + time.Sleep(time.Second * 10) + minLayer := rand.Intn(840) + 600 + maxLayer := rand.Intn(1440-minLayer) + minLayer + logInfo("run normal high %d", modelID+1) + err = runTrain(modelID+1, true, false, containerIDNormalHigh, false, false, 0, 0, 0, minLayer, maxLayer) + if err != nil { + logErr("failed:%v", err) + break + } + + // mix embedding + time.Sleep(time.Second * 10) + close1 := make(chan struct{}) + close2 := make(chan struct{}) + logInfo("run mix baseline and embedding %d", modelID) + go func() { + defer close(close1) + runTrain(0, false, true, containerIDTrainLow, true, false, 0, 0, 0, 602, 602) + }() + go func() { + defer close(close2) + runTrain(modelID, false, true, containerIDEmbHigh, false, true, featureCount, embeddingSizeRangeMin, embeddingSizeRangeMax, 0, 0) + }() + <-close1 + <-close2 + + // mix normal + time.Sleep(time.Second * 10) + close1 = make(chan struct{}) + close2 = make(chan struct{}) + logInfo("run mix baseline and normal %d", modelID+1) + go func() { + defer close(close1) + runTrain(0, false, false, containerIDTrainLow, true, false, 0, 0, 0, 602, 602) + }() + go func() { + defer close(close2) + runTrain(modelID+1, false, false, containerIDNormalHigh, false, false, 0, 0, 0, minLayer, maxLayer) + }() + <-close1 + <-close2 + + modelID += 2 + failCount = 0 + } + + failCount++ + containerCmd = exec.Command("docker", "exec", containerIDTrainLow, "curl", "http://127.0.0.1:8888/exit") + _, _ = containerCmd.CombinedOutput() + time.Sleep(5 * time.Second) + } + + logErr("fail count exceed, exit") + +} diff --git a/test/tools/v2/go.mod b/test/tools/v2/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..5cb591e4992b15599e83bd35a8f65948836089e8 --- /dev/null +++ b/test/tools/v2/go.mod @@ -0,0 +1,3 @@ +module kube-gpu/auto-run/v2 + +go 1.19 diff --git a/test/tools/v2/random/README.md b/test/tools/v2/random/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d007dc56672ae3e699d3865e249ea07b533dca55 --- /dev/null +++ b/test/tools/v2/random/README.md @@ -0,0 +1,13 @@ +# 随机生成网络模型脚本 + +## python脚本 + +- 输入： + - Squencial块个数，每个块中全连接层个数 + - 前置Embedding表的维度 + - 模型输入size、输出size +- 输出： + - 训练模型 + - 训练模型的FLOPs、Params + - 训练模型的Embedding层参数信息、 + - 运行一次训练模型训练，运行时间控制在十分钟，记录训练过程的GPU利用率数据 \ No newline at end of file diff --git a/test/tools/v2/random/normal/embedding.py b/test/tools/v2/random/normal/embedding.py new file mode 100644 index 0000000000000000000000000000000000000000..90194076ffa967b6ee977fe2690925c2c8057978 --- /dev/null +++ b/test/tools/v2/random/normal/embedding.py @@ -0,0 +1,242 @@ +import math +import torch +import torch.nn as nn +import random +import argparse +import time + +batchSize = 50 +inputSize = 64 +outputSize = 10 + +learning_rate = 0.01 # 学习率0.01 + +# middle_size_range = [8, 16, 32, 64, 128, 256] +min_linear_size = 16 +max_linear_size = 256 +linear_count = 20 +# linear_size_range = (16, 256) + +feature_count = 1 +feature_dim_range_min = 8 +feature_dim_range_max = 8 +embedding_size_range_min = 1 # 单位万 +embedding_size_range_max = 1 # 单位万 +embedding_dim_range_min = 32 +embedding_dim_range_max = 32 + + +# 判断是否有GPU +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +print(device) + +# 具体的使用方法 +# class Net(nn.Module): +# def __init__(self, input_size, output_size, sequential_count, linear_count_each): +# super(Net, self).__init__() +# i_size = input_size +# count = sequential_count +# self.sequential_list = [] +# while count > 0: +# o_size = random.choice(middle_size_range) +# if count == 1: +# # last sequential +# o_size = output_size +# hiddle_layers = [i_size] +# for i in range(linear_count_each - 1): +# hiddle_layers.append(random.randint(linear_size_range[0], linear_size_range[1])) +# hiddle_layers.append(o_size) +# print(hiddle_layers) +# for i in range(1, len(hiddle_layers)): +# self.sequential_list.append(nn.Sequential( +# nn.Linear(hiddle_layers[i - 1], hiddle_layers[i]), +# nn.ReLU() +# )) +# i_size = o_size +# count-=1 + +# def forward(self, input): +# out = input +# for i in range(len(self.sequential_list)): +# out = sequential_list[i](out) +# return out + +def generate_network(input_size, hidden_layers, output_size): + # 初始化神经网络 + network = nn.Sequential() + + # 添加输入层 + network.add_module("input", nn.Linear(input_size, hidden_layers[0])) + network.add_module("relu_0", nn.ReLU()) + + # 添加多个隐层 + for i in range(1, len(hidden_layers)): + network.add_module(f"hidden_{i}", nn.Linear(hidden_layers[i-1], hidden_layers[i])) + network.add_module(f"relu_{i}", nn.ReLU()) + + # 添加输出层 + network.add_module("output", nn.Linear(hidden_layers[-1], output_size)) + + return network + +parser = argparse.ArgumentParser(description='Auto generate mlp network and run') + +# 添加参数步骤 +parser.add_argument('--linear', help= 'linear count, default 20', type=int) +parser.add_argument('--min', help= 'min linear size, default 16', type=int) +parser.add_argument('--max', help= 'max linear size, default 256', type=int) +parser.add_argument('--feature_count', help= 'embedding layer count, default 1', type=int) +parser.add_argument('--feature_dim_range', help= 'embedding feature max dim range, min 4, default 8', type=int) +parser.add_argument('--embedding_size_range', help= 'embedding size max range, min 10000, default 10000', type=int) +parser.add_argument('--embedding_size_range_min', help= 'embedding size min range, default 10000', type=int) +parser.add_argument('--embedding_dim_range', help= 'embedding output dim max range, min 8, default 16', type=int) +parser.add_argument('--train', help = 'if need train', type=int) +# 解析参数步骤 +train = False +args = parser.parse_args() +if (args.linear != None) and (args.linear > 0): + linear_count = args.linear +if (args.min != None) and (args.min > 0): + min_linear_size = args.min +if (args.max != None) and (args.max > 0): + max_linear_size = args.max +if (args.feature_count != None): + feature_count = args.feature_count +if (args.feature_dim_range != None) and (args.feature_dim_range > 0): + feature_dim_range_max = args.feature_dim_range +if (args.embedding_size_range != None) and (args.embedding_size_range > 0): + embedding_size_range_max = args.embedding_size_range +if (args.embedding_size_range_min != None) and(args.embedding_size_range_min > 0): + embedding_size_range_min = args.embedding_size_range_min +if (args.embedding_dim_range != None) and (args.embedding_dim_range > 0): + embedding_dim_range_max = args.embedding_dim_range +if (args.train != None) and (args.train > 0): + print("train True") + train = True + +print("params: linear_count: {}, min_linear_size: {}, max_linear_size: {}, feature_count: {}, feature_dim_range_max: {}, embedding_size_range_max: {}, embedding_dim_range_max: {}".format(linear_count, min_linear_size, max_linear_size, feature_count, feature_dim_range_max, embedding_size_range_max, embedding_dim_range_max)) + +class Net(nn.Module): + def __init__(self, mlp_input_size, output_size, mlp, embedding_feature_dim, embedding_size_list, embedding_dim_list): + super(Net, self).__init__() + embedding_out_dim = 0 + self.embeddings = [] + for i in range(len(embedding_feature_dim)): + embedding_size = embedding_size_list[i] + embedding_dim = embedding_dim_list[i] + self.embeddings.append(nn.Embedding(embedding_size, embedding_dim).to(device)) + embedding_out_dim += embedding_dim + self.add_module('embedding_{}'.format(i),self.embeddings[i]) + self.embedding_feature_dim = embedding_feature_dim + self.middle_linear = nn.Linear(embedding_out_dim, mlp_input_size) + self.mlp = mlp + + + def forward(self, input): + input = input.long() + # print(input.shape) + embedding_output = [] + left = 0 + right = 0 + for i in range(len(self.embeddings)): + right += self.embedding_feature_dim[i] + embedding_output.append(torch.mean(self.embeddings[i](input[:,left:right]), 1)) + left = right + + middle = torch.cat(tuple(embedding_output), 1) + middle_out = self.middle_linear(middle) + out = self.mlp(middle_out) + return out + +mlp = generate_network(inputSize, [128,256,64,128,256,512,32,64,512], outputSize).to(device) +embedding_feature_dim = [] +embedding_size_list = [] +embedding_dim_list = [] +if feature_count <= 0: + model = mlp +else: + embedding_feature_dim = [16,32,16] + embedding_size_list = [1000000,800000,1000000] + embedding_dim_list = [16,16,16] + model = Net(inputSize, outputSize, mlp, embedding_feature_dim, embedding_size_list, embedding_dim_list).to(device) +print(model) +print(train) + +batchSize = random.randint(32, 256) +begin = time.time() +end = begin + 600 + +# 损失函数 +criterion = nn.CrossEntropyLoss() +optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) + +input_set = [] +label_set = [] +if feature_count <= 0: + for i in range(100): + input_set.append(torch.randn(batchSize, inputSize) * 10) + label_set.append(torch.randint(10, (batchSize, outputSize)).float()) +else: + for i in range(100): + inputs = [] + for j in range(feature_count): + inputs.append(torch.randint(embedding_size_list[j], (batchSize, embedding_feature_dim[j])).long()) + input_set.append(torch.cat(inputs, 1)) + label_set.append(torch.randint(10, (batchSize, outputSize)).float()) + +print("generate finish, begin train") + +with open('/status/begin', 'w') as wf: + wf.write('begin') + +epoch = 1 +while True: + + for i in range(100): + input_ = input_set[i].to(device) + label_ = label_set[i].to(device) + + outputs = model(input_) + + loss = criterion(outputs, label_) + + # Backward and optimize + optimizer.zero_grad() + loss.backward() + optimizer.step() + + epoch += 1 + if epoch % 10 == 0: + print("epoch: " + str(epoch)) + if train: + if epoch >= 150: + break + else: + if time.time() >= end: + break + +with open('/status/end', 'w') as wf: + wf.write("end") + +from thop import profile +input_tensor = input_set[0].to(device) +macs, params = profile(model, inputs=(input_tensor, )) +from thop import clever_format +macs, params = clever_format([macs, params], "%.3f") +print("shape: ", input_tensor.shape) +print("macs: {}, params: {}", macs, params) +print("batchSize: {}", batchSize) + +with open('/status/info', 'w') as wf: + embedding_size_list.append(0) + embedding_dim_list.append(0) + wf.write('shape:'+str(input_tensor.shape)+ + ',macs:'+str(macs)+ + ',params:'+str(params)+ + ',batchSize:'+str(batchSize)+ + ',relu_count:'+str(linear_count)+ + ',embedding_layer_count:'+str(feature_count)+ + ',embedding_size_sum:'+str(sum(embedding_size_list))+ + ',embedding_dim_sum:'+str(sum(embedding_dim_list))+ + ',embedding_size_max:'+str(max(embedding_size_list))+ + ',embedding_dim_max:'+str(max(embedding_dim_list))) \ No newline at end of file diff --git a/test/tools/v2/random/normal/gen.py b/test/tools/v2/random/normal/gen.py new file mode 100644 index 0000000000000000000000000000000000000000..c632ab518b6af11d150d107a040d179622d0505c --- /dev/null +++ b/test/tools/v2/random/normal/gen.py @@ -0,0 +1,242 @@ +import math +import torch +import torch.nn as nn +import random +import argparse +import time + +batchSize = 50 +inputSize = 64 +outputSize = 10 + +learning_rate = 0.01 # 学习率0.01 + +# middle_size_range = [8, 16, 32, 64, 128, 256] +min_linear_size = 16 +max_linear_size = 256 +linear_count = 20 +# linear_size_range = (16, 256) + +feature_count = 1 +feature_dim_range_min = 8 +feature_dim_range_max = 8 +embedding_size_range_min = 1 # 单位万 +embedding_size_range_max = 1 # 单位万 +embedding_dim_range_min = 32 +embedding_dim_range_max = 32 + + +# 判断是否有GPU +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +print(device) + +# 具体的使用方法 +# class Net(nn.Module): +# def __init__(self, input_size, output_size, sequential_count, linear_count_each): +# super(Net, self).__init__() +# i_size = input_size +# count = sequential_count +# self.sequential_list = [] +# while count > 0: +# o_size = random.choice(middle_size_range) +# if count == 1: +# # last sequential +# o_size = output_size +# hiddle_layers = [i_size] +# for i in range(linear_count_each - 1): +# hiddle_layers.append(random.randint(linear_size_range[0], linear_size_range[1])) +# hiddle_layers.append(o_size) +# print(hiddle_layers) +# for i in range(1, len(hiddle_layers)): +# self.sequential_list.append(nn.Sequential( +# nn.Linear(hiddle_layers[i - 1], hiddle_layers[i]), +# nn.ReLU() +# )) +# i_size = o_size +# count-=1 + +# def forward(self, input): +# out = input +# for i in range(len(self.sequential_list)): +# out = sequential_list[i](out) +# return out + +def generate_network(input_size, hidden_layers, output_size): + # 初始化神经网络 + network = nn.Sequential() + + # 添加输入层 + network.add_module("input", nn.Linear(input_size, hidden_layers[0])) + network.add_module("relu_0", nn.ReLU()) + + # 添加多个隐层 + for i in range(1, len(hidden_layers)): + network.add_module(f"hidden_{i}", nn.Linear(hidden_layers[i-1], hidden_layers[i])) + network.add_module(f"relu_{i}", nn.ReLU()) + + # 添加输出层 + network.add_module("output", nn.Linear(hidden_layers[-1], output_size)) + + return network + +parser = argparse.ArgumentParser(description='Auto generate mlp network and run') + +# 添加参数步骤 +parser.add_argument('--linear', help= 'linear count, default 20', type=int) +parser.add_argument('--min', help= 'min linear size, default 16', type=int) +parser.add_argument('--max', help= 'max linear size, default 256', type=int) +parser.add_argument('--feature_count', help= 'embedding layer count, default 1', type=int) +parser.add_argument('--feature_dim_range', help= 'embedding feature max dim range, min 4, default 8', type=int) +parser.add_argument('--embedding_size_range', help= 'embedding size max range, min 10000, default 10000', type=int) +parser.add_argument('--embedding_size_range_min', help= 'embedding size min range, default 10000', type=int) +parser.add_argument('--embedding_dim_range', help= 'embedding output dim max range, min 8, default 16', type=int) +parser.add_argument('--train', help = 'if need train', type=int) +# 解析参数步骤 +train = False +args = parser.parse_args() +if (args.linear != None) and (args.linear > 0): + linear_count = args.linear +if (args.min != None) and (args.min > 0): + min_linear_size = args.min +if (args.max != None) and (args.max > 0): + max_linear_size = args.max +if (args.feature_count != None): + feature_count = args.feature_count +if (args.feature_dim_range != None) and (args.feature_dim_range > 0): + feature_dim_range_max = args.feature_dim_range +if (args.embedding_size_range != None) and (args.embedding_size_range > 0): + embedding_size_range_max = args.embedding_size_range +if (args.embedding_size_range_min != None) and(args.embedding_size_range_min > 0): + embedding_size_range_min = args.embedding_size_range_min +if (args.embedding_dim_range != None) and (args.embedding_dim_range > 0): + embedding_dim_range_max = args.embedding_dim_range +if (args.train != None) and (args.train > 0): + print("train True") + train = True + +print("params: linear_count: {}, min_linear_size: {}, max_linear_size: {}, feature_count: {}, feature_dim_range_max: {}, embedding_size_range_max: {}, embedding_dim_range_max: {}".format(linear_count, min_linear_size, max_linear_size, feature_count, feature_dim_range_max, embedding_size_range_max, embedding_dim_range_max)) + +class Net(nn.Module): + def __init__(self, mlp_input_size, output_size, mlp, embedding_feature_dim, embedding_size_list, embedding_dim_list): + super(Net, self).__init__() + embedding_out_dim = 0 + self.embeddings = [] + for i in range(len(embedding_feature_dim)): + embedding_size = embedding_size_list[i] + embedding_dim = embedding_dim_list[i] + self.embeddings.append(nn.Embedding(embedding_size, embedding_dim).to(device)) + embedding_out_dim += embedding_dim + self.add_module('embedding_{}'.format(i),self.embeddings[i]) + self.embedding_feature_dim = embedding_feature_dim + self.middle_linear = nn.Linear(embedding_out_dim, mlp_input_size) + self.mlp = mlp + + + def forward(self, input): + input = input.long() + # print(input.shape) + embedding_output = [] + left = 0 + right = 0 + for i in range(len(self.embeddings)): + right += self.embedding_feature_dim[i] + embedding_output.append(torch.mean(self.embeddings[i](input[:,left:right]), 1)) + left = right + + middle = torch.cat(tuple(embedding_output), 1) + middle_out = self.middle_linear(middle) + out = self.mlp(middle_out) + return out + +mlp = generate_network(inputSize, [random.randint(min_linear_size, max_linear_size) for i in range (linear_count)], outputSize).to(device) +embedding_feature_dim = [] +embedding_size_list = [] +embedding_dim_list = [] +if feature_count <= 0: + model = mlp +else: + embedding_feature_dim = [random.randint(feature_dim_range_min, feature_dim_range_max) for i in range(feature_count)] + embedding_size_list = [random.randint(embedding_size_range_min, embedding_size_range_max) * 10000 for i in range(feature_count)] + embedding_dim_list = [random.randint(embedding_dim_range_min, embedding_dim_range_max) for i in range(feature_count)] + model = Net(inputSize, outputSize, mlp, embedding_feature_dim, embedding_size_list, embedding_dim_list).to(device) +print(model) +print(train) + +batchSize = random.randint(32, 256) +begin = time.time() +end = begin + 600 + +# 损失函数 +criterion = nn.CrossEntropyLoss() +optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) + +input_set = [] +label_set = [] +if feature_count <= 0: + for i in range(100): + input_set.append(torch.randn(batchSize, inputSize) * 10) + label_set.append(torch.randint(10, (batchSize, outputSize)).float()) +else: + for i in range(100): + inputs = [] + for j in range(feature_count): + inputs.append(torch.randint(embedding_size_list[j], (batchSize, embedding_feature_dim[j])).long()) + input_set.append(torch.cat(inputs, 1)) + label_set.append(torch.randint(10, (batchSize, outputSize)).float()) + +print("generate finish, begin train") + +with open('/status/begin', 'w') as wf: + wf.write('begin') + +epoch = 1 +while True: + + for i in range(100): + input_ = input_set[i].to(device) + label_ = label_set[i].to(device) + + outputs = model(input_) + + loss = criterion(outputs, label_) + + # Backward and optimize + optimizer.zero_grad() + loss.backward() + optimizer.step() + + epoch += 1 + if epoch % 10 == 0: + print("epoch: " + str(epoch)) + if train: + if epoch >= 150: + break + else: + if time.time() >= end: + break + +with open('/status/end', 'w') as wf: + wf.write("end") + +from thop import profile +input_tensor = input_set[0].to(device) +macs, params = profile(model, inputs=(input_tensor, )) +from thop import clever_format +macs, params = clever_format([macs, params], "%.3f") +print("shape: ", input_tensor.shape) +print("macs: {}, params: {}", macs, params) +print("batchSize: {}", batchSize) + +with open('/status/info', 'w') as wf: + embedding_size_list.append(0) + embedding_dim_list.append(0) + wf.write('shape:'+str(input_tensor.shape)+ + ',macs:'+str(macs)+ + ',params:'+str(params)+ + ',batchSize:'+str(batchSize)+ + ',relu_count:'+str(linear_count)+ + ',embedding_layer_count:'+str(feature_count)+ + ',embedding_size_sum:'+str(sum(embedding_size_list))+ + ',embedding_dim_sum:'+str(sum(embedding_dim_list))+ + ',embedding_size_max:'+str(max(embedding_size_list))+ + ',embedding_dim_max:'+str(max(embedding_dim_list))) \ No newline at end of file diff --git a/test/wide_deep/pytorch/try.py b/test/wide_deep/pytorch/try.py new file mode 100644 index 0000000000000000000000000000000000000000..5c7e3d6ba62233e892eed702fa2daa54787638ed --- /dev/null +++ b/test/wide_deep/pytorch/try.py @@ -0,0 +1,99 @@ +import math +import torch +import torch.nn as nn + +batchSize = 50 +inputSize = 64 +outputSize = 10 +num_epoch = 100000 + +a_embedding_size = 10000000 +b_embedding_size = 100000 +c_embedding_size = 10000 + +a_embedding_dim = 128 +b_embedding_dim = 64 +c_embedding_dim = 32 + +a_feature_dim = 32 +b_feature_dim = 16 +c_feature_dim = 16 + +learning_rate = 0.01 # 学习率0.01 + + +# 判断是否有GPU +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + +# 具体的使用方法 +class Net(nn.Module): + def __init__(self, input_size, output_size): + super(Net, self).__init__() + self.a_embedding = nn.Embedding(a_embedding_size, a_embedding_dim) + self.b_embedding = nn.Embedding(b_embedding_size, b_embedding_dim) + self.c_embedding = nn.Embedding(c_embedding_size, c_embedding_dim) + self.middle_linear = nn.Linear(a_embedding_dim+b_embedding_dim+c_embedding_dim, input_size) + self.conv_module = nn.Sequential( + nn.Linear(input_size, 128), + nn.ReLU(), + nn.Linear(128, 256), + nn.ReLU(), + nn.Linear(256, 512), + nn.ReLU(), + nn.Linear(512, 256), + nn.ReLU(), + nn.Linear(256, 128), + nn.ReLU(), + nn.Linear(128, output_size) + ) + + def forward(self, input): + input = input.long() + # print(input.shape) + a = input[:,0:a_feature_dim] + b = input[:,a_feature_dim:a_feature_dim+b_feature_dim] + c = input[:,a_feature_dim+b_feature_dim:] + # print(a.shape) + # print(b.shape) + # print(c.shape) + a_out = torch.sum(self.a_embedding(a),1) + b_out = torch.sum(self.b_embedding(b),1) + c_out = torch.sum(self.c_embedding(c),1) + # print(a_out.shape) + # print(b_out.shape) + # print(c_out.shape) + middle = torch.cat((a_out,b_out,c_out), 1) + middle_out = self.middle_linear(middle) + out = self.conv_module(middle_out) + return out + +model = Net(inputSize, outputSize).to(device) + + + +# 损失函数 +criterion = nn.CrossEntropyLoss() +optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate) + +for epoch in range(num_epoch): + a_inputs = torch.randint(0,a_embedding_size,(batchSize, a_feature_dim)) + b_inputs = torch.randint(0,b_embedding_size,(batchSize, b_feature_dim)) + c_inputs = torch.randint(0,c_embedding_size,(batchSize, c_feature_dim)) + inputs = torch.cat((a_inputs,b_inputs,c_inputs), 1) + outputs = torch.randn(batchSize, outputSize) + + images = inputs.to(device) + labels = outputs.to(device) + + # Forward pass + out = model(images) + loss = criterion(out, labels) + + # Backward and optimize + optimizer.zero_grad() + loss.backward() + optimizer.step() + + if epoch % 100 == 0: + print(epoch) + diff --git a/webhook/README.md b/webhook/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7b75a15b5fdd04374ed663d9c097475c8d5d9e1b --- /dev/null +++ b/webhook/README.md @@ -0,0 +1,170 @@ +# 目标 + +用户提交Pod，需要指定一些参数： +- 训练方式：端到端、非端到端 +- Embedding相关参数：Embedding表个数、输入维度、输出维度 +- 模型训练相关参数：MACCs、Params量 +- InputTensor +- 任务标签：任务ID +根据提供的参数，估算任务的GPU资源需求： +- 平均利用率（针对不同卡）、方差 +- SM核利用率、FP32活跃度平均值 +- 显存 +- 训练速度 + + +# 模块设计 + +## 预测模块 + +以Go Webhook设计 + +如果从Pod已有标签中获取不到相关参数，跳过Webhook + +### 端到端 + +python预测模块，暴露API给Go Webhook调用，本地端口5000 + +```json +/api/v1/task/analyze/end2end +POST +{ + "macs": 34.683, // M + "params": 218.411, // K + "batch_size": 32, + "embedding_size_total": 375, // W + "embedding_dim_total": 400, + "embedding_table_count": 8, +} +RESP +{ + "code": 0, + "msg": "success", + "data": { + "P100": { + "gpu_util_avg": 30, + "gpu_util_std": 40, + "mem_usage": 10 // GB + }, + "2080": { + "gpu_util_avg": 30, + "gpu_util_std": 40, + "mem_usage": 10 // GB + }, + "TITAN": { + "gpu_util_avg": 30, + "gpu_util_std": 40, + "mem_usage": 10 // GB + }, + "V100": { + "gpu_util_avg": 30, + "gpu_util_std": 40, + "mem_usage": 10, // GB + "sm_active_avg": 30, + "sm_active_std": 20, + "sm_occupied_avg": 30, + "sm_occupied_std": 60, + "fp32_active_avg": 10, + "fp32_active_std": 20 + } + } +} +``` + +### 非端到端(Deleted) + +集成在GoWebhook中 + +根据taskID，获取历史数据： + +`task_id,gpu_util_avg,gpu_util_std,mem_usage,low_usage_time,embedding_size_total,embedding_dim_total,embedding_table_count,card,sm_active_avg,sm_active_std,sm_occupied_avg,sm_occupied_std,fp32_active_avg,fp32_active_std` + +主要获取`low_usage_time`，然后估算整体的利用率平均值、方差 + +如果是首次提交的任务，打上`first_submit`标签，并且查找是否有相似任务（根据embedding任务来判断相似），采用最相似任务的low_usage_time + +函数返回 +```json +{ + "low_usage_time": 20, // 百分比 + "first_submit": true, + "similarity": 70, // 与历史任务的embedding参数相似度程度百分比，当first_submit为true时有效 +} +``` + +### Webhook + +根据预测结果，打到Pod标签上 + +- 端到端的预测结果`end2end`：json字符串格式 + + +## 资源监控与记录模块 + +单独的Deployment，微服务 + +调度器PostBind通知该模块 + +当有非端到端任务提交时，定时从Prometheus获取任务的GPU利用率、显存占用 + +当任务结束时，将数据取平均，记录到mysql中 + +开启新任务记录的API +```json +/api/v1/task/submit +POST +{ + "task_id": 10, + "pod_name": "xxx", + "namespace": "xxx", + "MACCs": 123456, + "Params": 556666, + "Embedding_Size_Total": 100000, + "Embedding_Dim_Total": 128, + "Embedding_Table_Count": 2 +} +RESP +{ + "code": 0, + "msg": "success", +} +``` + +获取正在记录的任务列表 +```json +/api/v1/task/list +GET +RESP +{ + "code": 0, + "msg": "success", + "data": { + "tasks": [ + { + "task_id": 1, + "pod_name": "xxx", + "namespace": "xxxx", + "start_time": "2023-04-05 14:24:56" + }, + { + "task_id": 1, + "pod_name": "xxx", + "namespace": "xxxx", + "start_time": "2023-04-05 14:24:56" + } + ] + } +} +``` + +## 数据库 + + +## 部署 + +- 签发CA Key（已经签发过了，除非key过期，否则无需重新签发） + - 参考https://zhuanlan.zhihu.com/p/137070531 + - 如需重新签发，请参考以上链接，生成ca证书后，修改webhook.yaml和secret.yaml的内容 +- 部署`kubectl apply -f yaml/` + +内含dl模型，运行需要gpu driver，选择有gpu的设备调度 \ No newline at end of file diff --git a/webhook/auth/ca-config.json b/webhook/auth/ca-config.json new file mode 100644 index 0000000000000000000000000000000000000000..6b5dab6988c261e6d7ab01c34ae427f0f3cad0a5 --- /dev/null +++ b/webhook/auth/ca-config.json @@ -0,0 +1,13 @@ +{ + "signing": { + "default": { + "expiry": "17520h" + }, + "profiles": { + "server": { + "usages": ["signing", "key encipherment", "server auth", "client auth"], + "expiry": "17520h" + } + } + } + } \ No newline at end of file diff --git a/webhook/auth/ca-csr.json b/webhook/auth/ca-csr.json new file mode 100644 index 0000000000000000000000000000000000000000..0a10bf74c53650fec77ed5a29912ac6d7c0d05e6 --- /dev/null +++ b/webhook/auth/ca-csr.json @@ -0,0 +1,16 @@ +{ + "CN": "Kubernetes", + "key": { + "algo": "rsa", + "size": 2048 + }, + "names": [ + { + "C": "US", + "L": "Portland", + "O": "Kubernetes", + "OU": "CA", + "ST": "Oregon" + } + ] + } \ No newline at end of file diff --git a/webhook/auth/ca-key.pem b/webhook/auth/ca-key.pem new file mode 100644 index 0000000000000000000000000000000000000000..0391ff5ab7cef7aee8c9c1f1881bbcd8e60465d7 --- /dev/null +++ b/webhook/auth/ca-key.pem @@ -0,0 +1,27 @@ +-----BEGIN RSA PRIVATE KEY----- +MIIEowIBAAKCAQEAk2yi0eQWcHs2IdlQ6QIETtaLoPHJg0jkR0vPkKu6KhE7wzTl +QysakvJRttnv7tjpS6R0jiC3Ss8ydKbr6gbH51FNr5mepS+xuvUNTmjrPb+MGIHw +F9E75IDsFUzGtn5kbzpovpW3AEubDmawZneKBb7qR2wvnwmllLwNouAgVHgwTHEp +zGETsLAELhGLExW2D+2runUGESQqfcTg1ZT3DiDTPNuW6wYqChnmLenJ0P7d9Gjg +3/8txbLD20Idi6mIPOxmo0rIvSzbam/yY1niVjtsOw3GZVkImrzJ6BTaELlNl8rF +P3nB7W5H7rAN2Em7nokEaQJFHTN4KK1z8OC6/wIDAQABAoIBAGM/R32158VhrVes +TWQQD4ZjuSxomhjgAY5d4yap9XJMl8ca3R0S75jtuUU4Aubw8F4UIMNuEvcx9e3C +UiAC4KFBguMssDjUmvoZ7xNSXsv7H/1/vHrMSV3TzRupzD0fac3XrJxhfgmc3I4d +Y7QX1bt4g5ABrS2L+QTgdO2ppRo3qfec4JstqucsVUMyo4DekHTCtUodsYG6rmdb +lQXbS4zdVckxUOhIicQbB578bGZabwime35FjBu2v8ewqEPNkJne0KuOV1A+fCOf +jUafOmD+MrYmNGW46ZWixp9CNZQvHDDa/NhzYflend2d5a5wR7uaJpSEoxmPwTE4 +IP/z34ECgYEAwKAD4S2m024lRM5cJbicSeKRtfcr7PwPzObjwSJT5NFSbQVLxdsY +nnR5DR3999Cf9qfG9JcZ2v3NpyqDi9d3tvKaPUgKSUcgPBd7hfsZ23+2auXZUgXl +9kI1xTe07mQq1B9Xl/DWrg8RgY6Ga1uNJtG/Yi125Q/cx2gDJ9G3YjkCgYEAw+2P +Kw0HXSaaLeZeyS4V/FW5qvQ9eOTrPNos2p7f3KtTDItaYFkTXV7rSDlBxLWko8nW +rVwPjPuWyH7jVUl9gErtgr7TfWFn2z0R8M3tfPkBYuFKrKf4q03rKl6IjjIfcDu9 +IrQnW3cfmWro9ECLEBzBoxNrfNedjlm/OClApvcCgYEAtecmYsJatXVhqn151YFl +zfww//bfu1c5kJVF5UAGm6H0xdFngfvqXtC8898r05dnSGWeY6JBn2VojQF/4lJi +0hh+AXsDg7mwPi8qzhaXj4omeQJ/3I6HYKub3ZdCvJFJRLIoZOrhwNOoA4HVfJKj +VFJk+lDW42+8XW7i8/p+xDkCgYBYHiiswRBVyb2/9QMeUhbbRSbbBzv6emJ+HNXd +gWTHV1pjou0Dtiwqaz1AX1gAA33HmEhv8Z6g1qpLBB50RjgmkgxeKDrwAfX2uXGv +Lr6n3UnNUewG2QjS6plgleGuqkZPcN6wk/u7fEj+9AFPkRO6LGS+VkaagFLBKgYB +WTRVowKBgA2J6DUu1YdLoiPvG81niBwpTgVhRuoLHb0u2IB3kKHM1wriYh7SHJtr ++pFvytu9p8n7vshJgm42IgeP3/U31AJxfuSOrksXfdh53OhfeGUYngj0LeeFKaHQ +ZLsUBvJwu2Lw7JhpV//pJSwMU/IniJZmWusqnJm722Df1X1JxCUn +-----END RSA PRIVATE KEY----- diff --git a/webhook/auth/ca.csr b/webhook/auth/ca.csr new file mode 100644 index 0000000000000000000000000000000000000000..72ce2d100b5ad188e50212d6d8d80c9cb87caf6f --- /dev/null +++ b/webhook/auth/ca.csr @@ -0,0 +1,17 @@ +-----BEGIN CERTIFICATE REQUEST----- +MIICrTCCAZUCAQAwaDELMAkGA1UEBhMCVVMxDzANBgNVBAgTBk9yZWdvbjERMA8G +A1UEBxMIUG9ydGxhbmQxEzARBgNVBAoTCkt1YmVybmV0ZXMxCzAJBgNVBAsTAkNB +MRMwEQYDVQQDEwpLdWJlcm5ldGVzMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIB +CgKCAQEAk2yi0eQWcHs2IdlQ6QIETtaLoPHJg0jkR0vPkKu6KhE7wzTlQysakvJR +ttnv7tjpS6R0jiC3Ss8ydKbr6gbH51FNr5mepS+xuvUNTmjrPb+MGIHwF9E75IDs +FUzGtn5kbzpovpW3AEubDmawZneKBb7qR2wvnwmllLwNouAgVHgwTHEpzGETsLAE +LhGLExW2D+2runUGESQqfcTg1ZT3DiDTPNuW6wYqChnmLenJ0P7d9Gjg3/8txbLD +20Idi6mIPOxmo0rIvSzbam/yY1niVjtsOw3GZVkImrzJ6BTaELlNl8rFP3nB7W5H +7rAN2Em7nokEaQJFHTN4KK1z8OC6/wIDAQABoAAwDQYJKoZIhvcNAQELBQADggEB +ABb896aiIf7a7IfBvn81a5Oq+QK7WKQL03OZf0uobEOk3YWXfcqspsQGMELlFme3 +0tIFdWfZEk49icDD9zWmiyMD/GIP+ifLEIJV4LTT8MOfY1s53v4He9mZt9+ubbJT +MW99lq7Aoq4Z5iDRPKamp9QMh7Lti1GbT03tFhnk4+PQjy5O3r1HhcofP8GLlPN/ +zmAHxl9EM6BCpVVaM98gosOK/TK4KTToV0VXhlhJKZlGG/lBjVsEGA+NPZ6ra8/y +Makv0kf/SLdfLB4ppSLpxCSTaYaps9tXLYFNL+IQi3s3LNQIbME4+n49+oRW5ksx +UgO3IIdpmGSyNjMlWca/LR0= +-----END CERTIFICATE REQUEST----- diff --git a/webhook/auth/ca.pem b/webhook/auth/ca.pem new file mode 100644 index 0000000000000000000000000000000000000000..b7da2af661ca9f06108be39f1d559e6d016996f2 --- /dev/null +++ b/webhook/auth/ca.pem @@ -0,0 +1,23 @@ +-----BEGIN CERTIFICATE----- +MIIDxDCCAqygAwIBAgIUeinM8EQlEjRfhKPqe/N/U1CewEYwDQYJKoZIhvcNAQEL +BQAwaDELMAkGA1UEBhMCVVMxDzANBgNVBAgTBk9yZWdvbjERMA8GA1UEBxMIUG9y +dGxhbmQxEzARBgNVBAoTCkt1YmVybmV0ZXMxCzAJBgNVBAsTAkNBMRMwEQYDVQQD +EwpLdWJlcm5ldGVzMB4XDTIzMDUwMzExNTIwMFoXDTI4MDUwMTExNTIwMFowaDEL +MAkGA1UEBhMCVVMxDzANBgNVBAgTBk9yZWdvbjERMA8GA1UEBxMIUG9ydGxhbmQx +EzARBgNVBAoTCkt1YmVybmV0ZXMxCzAJBgNVBAsTAkNBMRMwEQYDVQQDEwpLdWJl +cm5ldGVzMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAk2yi0eQWcHs2 +IdlQ6QIETtaLoPHJg0jkR0vPkKu6KhE7wzTlQysakvJRttnv7tjpS6R0jiC3Ss8y +dKbr6gbH51FNr5mepS+xuvUNTmjrPb+MGIHwF9E75IDsFUzGtn5kbzpovpW3AEub +DmawZneKBb7qR2wvnwmllLwNouAgVHgwTHEpzGETsLAELhGLExW2D+2runUGESQq +fcTg1ZT3DiDTPNuW6wYqChnmLenJ0P7d9Gjg3/8txbLD20Idi6mIPOxmo0rIvSzb +am/yY1niVjtsOw3GZVkImrzJ6BTaELlNl8rFP3nB7W5H7rAN2Em7nokEaQJFHTN4 +KK1z8OC6/wIDAQABo2YwZDAOBgNVHQ8BAf8EBAMCAQYwEgYDVR0TAQH/BAgwBgEB +/wIBAjAdBgNVHQ4EFgQUTexcWkm+dJGcpebma6JSeKBli/YwHwYDVR0jBBgwFoAU +TexcWkm+dJGcpebma6JSeKBli/YwDQYJKoZIhvcNAQELBQADggEBACYfTijQnfA7 +KKKtxXigxnpo4s/papsaga2T3jNib0WPoGn36y6QXFX8RlgNM3OWualWvNDqS9rz +/WyOVuYJCscu916RgJaKxhoqlyhraAdZ8aTmWJ8S/CictMXffNbhKT/tzNqquqa7 +lR3iwTAR7NiOeFFQCVMrxreu82CNHTet19a3CesDUAdZyDQ7OVRnPTZ5qG4MZwPN +RsKo/J8akRPZMd7ww5DkNNzkeRcL2eZklmEnuzZJ9YLjZqk2xcyGKbwfpdCJctyN +/lUV1umrVoMhHWYq81j+J6H3P3zW7ZOdEXKo8kCYsVXXcmoYtJ99II/nUYfyqMUo +7xyznLn3kI8= +-----END CERTIFICATE----- diff --git a/webhook/auth/server-csr.json b/webhook/auth/server-csr.json new file mode 100644 index 0000000000000000000000000000000000000000..fc397639a3a9b1a94519484471303de5954382a9 --- /dev/null +++ b/webhook/auth/server-csr.json @@ -0,0 +1,16 @@ +{ + "CN": "admission", + "key": { + "algo": "rsa", + "size": 2048 + }, + "names": [ + { + "C": "US", + "L": "Portland", + "O": "Kubernetes", + "OU": "Kubernetes", + "ST": "Oregon" + } + ] + } \ No newline at end of file diff --git a/webhook/auth/server-key.pem b/webhook/auth/server-key.pem new file mode 100644 index 0000000000000000000000000000000000000000..470fe44c7e806af1c1f4c02ba5011c80ad49b53c --- /dev/null +++ b/webhook/auth/server-key.pem @@ -0,0 +1,27 @@ +-----BEGIN RSA PRIVATE KEY----- +MIIEowIBAAKCAQEAuqnWJvmO1aZI6TzJqDA+2T/QaSUjnnvidRC2lQTFKTbh0zCe +LqX16cpyy3H3QSs4o64zmFXFbWXcuCQ+qICgNHaQL0Wd025/yDYN0aLy9ZcUqMqF +cWfo50H17FaFBcKT+wO9vB4yisiEZPGUYBvGR2PPpqm5h+Gz+YNspWpIvLYblOt0 +Ni5OllEhP/lppbshKsAM4iSz9Fs6WfsJy2mVlEz0iJS/4dad3+bqOEzmcKsT+QrP +pA/PKpWpsTScY7qIKlVYe3lPAqekJ9IlY2MSvmCduh7dgNXcgQEWCpXsNSZAKfN2 +OfCbQ49SFXUqw1uZaQ5boJkTGR2kcPVB6iERAwIDAQABAoIBADu0Sv0YYWlQ0I1Z +lh6nn9KZKK4Y5PWyJlLPT7cGWZG/LigAqve8uZVX3bPY9f7wNiOUeohFFurQ4/I6 +FZiL27IsIh4cpEiWVWTSdUUSW6fV9ROwA1Ksq8AcRu6bFd0ryW1GWw+qkPv2+vHW +m2DKQXdgI3DpZKBjvs8WDFA0WKOTB0BEyjHPuVC8NiOtrNzgYPQx7FZ3kKRDe42w +/xxOukJMmzONgKPUaFyU53mw1SlgWlmHTzesCtOuyXMHXGg7AQd1YJOihhQVMSUw +t+1WGbY8doIYcVH9qhqKEQZucS69/mUrTXAIydl8wTMYDMCjhIhcldjpHtQeO+69 +uV1XwWECgYEA87kKJ3Oj9r+tUD8ka9361kkihtumOnGVCfv1mq/yQu5gltSnUQ1h +QOcOG8tNrMp1NKxaHO3pGEH79DMfzbRw4cqTlha31/jH/0C45g/SYYBl7grkamG4 +zkjCrgg2ykel1X0ru6xTLlm7uvkqdaODp7WEOcZvZs+fLwH5h/0CzhsCgYEAxBD6 +18fRNg2HbHh+OgGGoHXEf+PPv32xNcA6YMD5D/R2yhmHClQdrK8ExVtVdcHK2De8 +1Ao1C8PSJENHsRxgqtzVRk0sCRGy1VuI9FDtTLp/HD9Zeg2QcFVCPxEOwQsKrHAJ +3Ve69PVGSEra9t5U/JJuCm9EOfAVv1tGwlDCVzkCgYAqsjrmKGsL+g5JpZYi03Nz +AMLsryQSzv0WD666F6KwOQRwx/Y7y8VC0nd1RQtpftpDjQIIWWFhX4XdBOvIZJj1 +5UAvpfE1A589xz/dBd6MOCsjJYNYY6A1eyenx0aZ7y1NFi2IJis4Tn4Fxkq66xdQ +VQtB99JiR3MSkBz/xsIsCwKBgQCyNwTq8jOWQEHiNLv3mb93RtSvsrD5TBSx2OK3 +Y3CAMiNvnDiFCORYPFXH1jcd7GKmmjNHQWfqI7p1P7qAoFy1sjkhx6/JJo85JBSe +jpjD75juYh7AtGef0799d9HDYnf3OXed+8pyMigKOhBB6OGzGp5vWafYSgRahWsR +4Tpk8QKBgHl1Qz50A7P5A5CJCppV/jCoAR1eBV+Dk6lhy8mfHJkeuumhXpSjUZ1Z +QhntqHlkbyNwFaDgjPHt2oiC6FfdcMf+fJ4Ps/D5FOS2GiqISqEgv+q45r4FWKH1 +1Q4eb8Nn6J3v/BmuLo7f6H0dHbTVj9o1ZEKIxartU4PIRNZqYlX8 +-----END RSA PRIVATE KEY----- diff --git a/webhook/auth/server.csr b/webhook/auth/server.csr new file mode 100644 index 0000000000000000000000000000000000000000..c9fe42fbbd506a8cdd283ad6bc210476124c6d65 --- /dev/null +++ b/webhook/auth/server.csr @@ -0,0 +1,17 @@ +-----BEGIN CERTIFICATE REQUEST----- +MIICtDCCAZwCAQAwbzELMAkGA1UEBhMCVVMxDzANBgNVBAgTBk9yZWdvbjERMA8G +A1UEBxMIUG9ydGxhbmQxEzARBgNVBAoTCkt1YmVybmV0ZXMxEzARBgNVBAsTCkt1 +YmVybmV0ZXMxEjAQBgNVBAMTCWFkbWlzc2lvbjCCASIwDQYJKoZIhvcNAQEBBQAD +ggEPADCCAQoCggEBALqp1ib5jtWmSOk8yagwPtk/0GklI5574nUQtpUExSk24dMw +ni6l9enKcstx90ErOKOuM5hVxW1l3LgkPqiAoDR2kC9FndNuf8g2DdGi8vWXFKjK +hXFn6OdB9exWhQXCk/sDvbweMorIhGTxlGAbxkdjz6apuYfhs/mDbKVqSLy2G5Tr +dDYuTpZRIT/5aaW7ISrADOIks/RbOln7CctplZRM9IiUv+HWnd/m6jhM5nCrE/kK +z6QPzyqVqbE0nGO6iCpVWHt5TwKnpCfSJWNjEr5gnboe3YDV3IEBFgqV7DUmQCnz +djnwm0OPUhV1KsNbmWkOW6CZExkdpHD1QeohEQMCAwEAAaAAMA0GCSqGSIb3DQEB +CwUAA4IBAQA+NcaY8HZxMhnzTZE4KdO1DLtI/LE522xR12rxYnWGGIsgY2zfoXQf +aSKH9yUNsrhwddG6wg8KwL/kyJVFVHVoC+t/YYdx8AL6/q+PNRU1kqTPG/A33RMw +hbHQD0oELHafa0uIjOQ6LB1HlFFeXhWh7ymoZ3KpLuKd2z7/i9z68+R1dQPtWq48 +grAB+WGF1YnAm03Lodh3JuY2WCuY5N+wEhKHVUvdAyqEpv3zwUX0zAFBnvd909xC +N2BV4PCH/L1kzaUpfXm1CgrhNcJUIs2zi2dmWQRevGi9+tr+oAF08eSgIhKky7xh +6y+QCDOUxr3M4uHd7WfKOuqJqeZVS+Xg +-----END CERTIFICATE REQUEST----- diff --git a/webhook/auth/server.pem b/webhook/auth/server.pem new file mode 100644 index 0000000000000000000000000000000000000000..610636b83f88a540c8984dd1a7c81c4ec83c7ae7 --- /dev/null +++ b/webhook/auth/server.pem @@ -0,0 +1,25 @@ +-----BEGIN CERTIFICATE----- +MIIEIzCCAwugAwIBAgIUGTwY1+5GjB9Cc0Q2ws+GgqkecPMwDQYJKoZIhvcNAQEL +BQAwaDELMAkGA1UEBhMCVVMxDzANBgNVBAgTBk9yZWdvbjERMA8GA1UEBxMIUG9y +dGxhbmQxEzARBgNVBAoTCkt1YmVybmV0ZXMxCzAJBgNVBAsTAkNBMRMwEQYDVQQD +EwpLdWJlcm5ldGVzMB4XDTIzMDUwMzExNTMwMFoXDTI1MDUwMjExNTMwMFowbzEL +MAkGA1UEBhMCVVMxDzANBgNVBAgTBk9yZWdvbjERMA8GA1UEBxMIUG9ydGxhbmQx +EzARBgNVBAoTCkt1YmVybmV0ZXMxEzARBgNVBAsTCkt1YmVybmV0ZXMxEjAQBgNV +BAMTCWFkbWlzc2lvbjCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBALqp +1ib5jtWmSOk8yagwPtk/0GklI5574nUQtpUExSk24dMwni6l9enKcstx90ErOKOu +M5hVxW1l3LgkPqiAoDR2kC9FndNuf8g2DdGi8vWXFKjKhXFn6OdB9exWhQXCk/sD +vbweMorIhGTxlGAbxkdjz6apuYfhs/mDbKVqSLy2G5TrdDYuTpZRIT/5aaW7ISrA +DOIks/RbOln7CctplZRM9IiUv+HWnd/m6jhM5nCrE/kKz6QPzyqVqbE0nGO6iCpV +WHt5TwKnpCfSJWNjEr5gnboe3YDV3IEBFgqV7DUmQCnzdjnwm0OPUhV1KsNbmWkO +W6CZExkdpHD1QeohEQMCAwEAAaOBvTCBujAOBgNVHQ8BAf8EBAMCBaAwHQYDVR0l +BBYwFAYIKwYBBQUHAwEGCCsGAQUFBwMCMAwGA1UdEwEB/wQCMAAwHQYDVR0OBBYE +FE58cQHXHZA+6FBluK78ah7MXe32MB8GA1UdIwQYMBaAFE3sXFpJvnSRnKXm5mui +UnigZYv2MDsGA1UdEQQ0MDKCMHJlc291cmNlLWFuYWx5emUtd2ViaG9vay1zdmMu +a3ViZS1ncHUtc3BhcnNlLnN2YzANBgkqhkiG9w0BAQsFAAOCAQEAfInt2p+Fke47 +ZHeb/BJ5iTjqUL5FPX5ao7jaey/aKsVu9DDedO1ydK+Gvk40EXYGB7SX4K4uu+TK +3pSfDK5KOx0t7TvudC0lGp51V2jzwsGLFHkE9KYl+6C2tAUdoyynlKlEUf3KOWKX +wu2PdRcaiBHuaB9J1Pe4SxpN+M0U1bZ+Anaz9nB/zd0J3kPM20KJ4lnnMPWokHZS +rIk7h/kmJJDmEldgSns4a55JmY6i/dPwhOqsGO1aZk2Vanza3i19DB4rnMKdFYjO +IyjhvEbcp80hCpvHHzQBHe72vfbzMzRcd1WEsZM12DTZ9Qtm/jx8YL7eNofDpmDn +4PT2+IgEag== +-----END CERTIFICATE----- diff --git a/webhook/dockerfile b/webhook/dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..bf7ffda9876f5cad563d38a029da6a6d116c2869 --- /dev/null +++ b/webhook/dockerfile @@ -0,0 +1,12 @@ +FROM pxllpx/ubuntu-22.04:latest + +COPY resource-analyze-webhook /resource-analyze-webhook + +CMD ["mkdir", "-p", "/python/models"] + +COPY python/server.py /python/server.py + +COPY python/models/* /python/models/ + +ENTRYPOINT ["sh", "-c", "sleep infinity"] +# ENTRYPOINT ["resource-analyze-webhook"] \ No newline at end of file diff --git a/webhook/go.mod b/webhook/go.mod new file mode 100644 index 0000000000000000000000000000000000000000..b2345b6ffcf8dd4c12a682a0671e5f9e1ad8e11a --- /dev/null +++ b/webhook/go.mod @@ -0,0 +1,28 @@ +module kube-gpu/resource-analyze-webhook/v2 + +go 1.19 + +require ( + gorm.io/gorm v1.25.0 + k8s.io/api v0.27.1 + k8s.io/apimachinery v0.27.1 +) + +require ( + github.com/go-logr/logr v1.2.4 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/google/gofuzz v1.2.0 // indirect + github.com/jinzhu/inflection v1.0.0 // indirect + github.com/jinzhu/now v1.1.5 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + golang.org/x/net v0.9.0 // indirect + golang.org/x/text v0.9.0 // indirect + gopkg.in/inf.v0 v0.9.1 // indirect + gopkg.in/yaml.v2 v2.4.0 // indirect + k8s.io/klog/v2 v2.100.1 // indirect + k8s.io/utils v0.0.0-20230406110748-d93618cff8a2 // indirect + sigs.k8s.io/json v0.0.0-20221116044647-bc3834ca7abd // indirect + sigs.k8s.io/structured-merge-diff/v4 v4.2.3 // indirect +) diff --git a/webhook/go.sum b/webhook/go.sum new file mode 100644 index 0000000000000000000000000000000000000000..0d362b40efaa0336b9a2617120b04aef0c32598a --- /dev/null +++ b/webhook/go.sum @@ -0,0 +1,88 @@ +github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c= +github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/go-logr/logr v1.2.0/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A= 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h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8= +github.com/json-iterator/go v1.1.12 h1:PV8peI4a0ysnczrg+LtxykD8LfKY9ML6u2jnxaEnrnM= +github.com/json-iterator/go v1.1.12/go.mod h1:e30LSqwooZae/UwlEbR2852Gd8hjQvJoHmT4TnhNGBo= +github.com/kisielk/errcheck v1.5.0/go.mod h1:pFxgyoBC7bSaBwPgfKdkLd5X25qrDl4LWUI2bnpBCr8= +github.com/kisielk/gotool v1.0.0/go.mod h1:XhKaO+MFFWcvkIS/tQcRk01m1F5IRFswLeQ+oQHNcck= +github.com/kr/pretty v0.3.0 h1:WgNl7dwNpEZ6jJ9k1snq4pZsg7DOEN8hP9Xw0Tsjwk0= +github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY= +github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q= +github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd h1:TRLaZ9cD/w8PVh93nsPXa1VrQ6jlwL5oN8l14QlcNfg= +github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q= +github.com/modern-go/reflect2 v1.0.2 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0000000000000000000000000000000000000000..4fc098bfad6eb323790d2e3eb7069351dcefbc6e --- /dev/null +++ b/webhook/main.go @@ -0,0 +1,59 @@ +package main + +import ( + "crypto/tls" + "flag" + "fmt" + "kube-gpu/resource-analyze-webhook/v2/pkg" + "net/http" + "os" + "os/exec" +) + +var ( + certFile string + keyFile string + port int +) + +func init() { + flag.IntVar(&port, "port", 443, "Webhook server port.") + flag.StringVar(&certFile, "tlsCertFile", "/etc/webhook/certs/cert.pem", "File containing the x509 Certificate for HTTPS.") + flag.StringVar(&keyFile, "tlsKeyFile", "/etc/webhook/certs/key.pem", "File containing the x509 private key to --tlsCertFile.") + flag.Parse() +} + +func runPython() { + pythonCmd := exec.Command("python3", "./python/server.py") + err := pythonCmd.Start() + if err != nil { + pkg.LogErr("start python failed, err:%v", err) + os.Exit(-1) + } + err = pythonCmd.Wait() + pkg.LogErr("python exit, err:%v", err) + os.Exit(-1) +} + +func main() { + pair, err := tls.LoadX509KeyPair(certFile, keyFile) + if err != nil { + pkg.LogErr("Failed to load key pair: %v", err) + panic(-1) + } + + server := &http.Server{ + Addr: fmt.Sprintf(":%v", port), + TLSConfig: &tls.Config{Certificates: []tls.Certificate{pair}}, + } + + mux := http.NewServeMux() + mux.HandleFunc("/mutate", pkg.Serve) + server.Handler = mux + + go runPython() + + if err = server.ListenAndServeTLS("", ""); err != nil { + pkg.LogErr("server exit, err:%v", err) + } +} diff --git a/webhook/makefile b/webhook/makefile new file mode 100644 index 0000000000000000000000000000000000000000..ee556881e366eb6a1dd4a108c9c355ab6845ac3a --- /dev/null +++ b/webhook/makefile @@ -0,0 +1,4 @@ +GOOS=linux +GOARCH=amd64 + +all: go build -o resource-analyze-webhook main.go \ No newline at end of file diff --git a/webhook/pkg/dal.go b/webhook/pkg/dal.go new file mode 100644 index 0000000000000000000000000000000000000000..b6e4e1d6038e0863903bee9431ddb452f9bcfc61 --- /dev/null +++ b/webhook/pkg/dal.go @@ -0,0 +1,66 @@ +package pkg + +import ( + "context" + "strings" + + "gorm.io/gorm" +) + +var Dal *gorm.DB + +type TaskResourceUsageRecord struct { + TaskID uint64 + GpuUtilAvg float32 `json:"gpu_util_avg"` + GpuUtilStd float32 `json:"gpu_util_std"` + MemUsage int64 `json:"mem_usage"` // byte + EmbeddingSizeTotal int64 `json:"embedding_size_total"` + EmbeddingDimTotal int `json:"embedding_dim_total"` + EmbeddingTableCount int `json:"embedding_table_count"` + LowUsageTimePercent int +} + +// func init() { +// var err error +// dsn := "user:pass@tcp(127.0.0.1:3306)/dbname?charset=utf8mb4&parseTime=True&loc=Local" +// Dal, err = gorm.Open(mysql.Open(dsn), &gorm.Config{}) +// if err != nil { +// LogErr("init mysql failed") +// panic("init mysql failed") +// } +// } + +func GetTaskResourceUsageRecord(ctx context.Context, taskID uint64) (record *TaskResourceUsageRecord, err error) { + return &TaskResourceUsageRecord{ + TaskID: taskID, + GpuUtilAvg: 50, + GpuUtilStd: 20, + MemUsage: 1024000000, + EmbeddingSizeTotal: 100000, + EmbeddingDimTotal: 128, + EmbeddingTableCount: 2, + LowUsageTimePercent: 30, + }, nil +} + +func GetSimilaryTaskResourceUsageRecords(ctx context.Context) (records []*TaskResourceUsageRecord, err error) { + return []*TaskResourceUsageRecord{ + { + TaskID: 2, + GpuUtilAvg: 50, + GpuUtilStd: 20, + MemUsage: 1024000000, + EmbeddingSizeTotal: 100000, + EmbeddingDimTotal: 128, + EmbeddingTableCount: 2, + LowUsageTimePercent: 30, + }, + }, nil +} + +func IsRecordNotFound(err error) bool { + if err == nil { + return false + } + return strings.Contains(err.Error(), "record not found") +} diff --git a/webhook/pkg/utils.go b/webhook/pkg/utils.go new file mode 100644 index 0000000000000000000000000000000000000000..1b9be240dbe687e0a88057279fd329f40148fa95 --- /dev/null +++ b/webhook/pkg/utils.go @@ -0,0 +1,68 @@ +package pkg + +import ( + "bytes" + "context" + "encoding/json" + "fmt" + "io/ioutil" + "net/http" + "time" +) + +func LogErr(format string, v ...interface{}) { + fmt.Printf("[Error] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func LogInfo(format string, v ...interface{}) { + fmt.Printf("[Info] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func LogWarn(format string, v ...interface{}) { + fmt.Printf("[Warn] %v: %s\n", time.Now().Local().String(), fmt.Sprintf(format, v...)) +} + +func PostJson(ctx context.Context, host, path string, body interface{}, header map[string]string, resp interface{}) (err error) { + url := fmt.Sprintf("http://%s%s", host, path) + + bodyBytes, err := json.Marshal(body) + if err != nil { + LogErr("post failed, marshal body failed, err:%v", err) + return err + } + + httpReq, err := http.NewRequest(http.MethodPost, url, bytes.NewReader(bodyBytes)) + if err != nil { + LogErr("post failed, new request failed, err:%v", err) + return err + } + + httpReq.Header.Add("Content-Type", "application/json") + for k, v := range header { + httpReq.Header.Add(k, v) + } + + httpResp, err := http.DefaultClient.Do(httpReq) + if err != nil { + LogErr("post failed, do request failed, err:%v", err) + return err + } + + respBody, err := ioutil.ReadAll(httpResp.Body) + if err != nil { + LogErr("post read body failed, err:%v", err) + return err + } + + if httpResp.StatusCode != http.StatusOK { + LogErr("post failed, status code not ok, code:%v, body: %s", httpResp.StatusCode, string(respBody)) + return fmt.Errorf("status code not ok") + } + + if err = json.Unmarshal(respBody, resp); err != nil { + LogErr("post unmarshal resp failed, err:%v", err) + return err + } + + return nil +} diff --git a/webhook/pkg/webhook.go b/webhook/pkg/webhook.go new file mode 100644 index 0000000000000000000000000000000000000000..6d85677c00df50eae5e8d82a8a62636d316740eb --- /dev/null +++ b/webhook/pkg/webhook.go @@ -0,0 +1,249 @@ +package pkg + +import ( + "context" + "encoding/json" + "fmt" + "io/ioutil" + "net/http" + "time" + + v1 "k8s.io/api/admission/v1" + corev1 "k8s.io/api/core/v1" + "k8s.io/apimachinery/pkg/runtime" +) + +const ( + KUBE_GPU_SPARSE_LABEL_KEY = "kube-gpu-sparse/task_info" // json + KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY = "kube-gpu-sparse/resource_analyze" + + TIMEOUT = time.Second * 5 + + PYTHON_MODEL_HOST = "127.0.0.1:5000" + PYTHON_ANALYZE_MODEL_PATH = "/api/v1/task/analyze/end2end" +) + +// k8s input label +type TaskInfo struct { + TaskID uint64 `json:"task_id"` + IsEnd2End bool `json:"is_end2end"` + Macs float32 `json:"macs"` // M + Params float32 `json:"params"` // K + BatchSize int `json:"batch_size"` + EmbeddingSizeTotal float32 `json:"embedding_size_total"` // W + EmbeddingDimTotal int `json:"embedding_dim_total"` + EmbeddingTableCount int `json:"embedding_table_count"` + InputSize int `json:"input_size"` +} + +// k8s output label +type TaskResourceAnalyzeResult struct { + End2End *End2EndResourceAnalyzeResult `json:"end2end"` + NotEnd2End *NotEnd2EndResourceAnalyzeResult `json:"not_end2end"` +} + +// end2end resource analyze +type End2EndResourceUsage struct { + GpuUtilAvg float32 `json:"gpu_util_avg"` + GpuUtilStd float32 `json:"gpu_util_std"` + MemUsage float32 `json:"mem_usage"` // GB + Speed float32 `json:"speed"` // steps/s +} + +type End2EndResourceUsageDetail struct { + End2EndResourceUsage + SmActiveAvg float32 `json:"sm_active_avg"` + SmActiveStd float32 `json:"sm_active_std"` + SmOccupiedAvg float32 `json:"sm_occupied_avg"` + SmOccupiedStd float32 `json:"sm_occupied_std"` + DramActiveAvg float32 `json:"dram_active_avg"` + DramActiveStd float32 `json:"dram_active_std"` + Fp32ActiveAvg float32 `json:"fp32_active_avg"` + Fp32ActiveStd float32 `json:"fp32_active_std"` +} + +type End2EndResourceAnalyzeResult struct { + P100 End2EndResourceUsage `json:"P100"` + Ti2080 End2EndResourceUsage `json:"2080"` + TITAN End2EndResourceUsage `json:"TITAN"` + V100 End2EndResourceUsageDetail `json:"V100"` +} + +type End2EndResourceAnalyzeResp struct { + Code int `json:"code"` + Msg string `json:"msg"` + Data *End2EndResourceAnalyzeResult `json:"data"` +} + +// NotEnd2End resource analyze +type NotEnd2EndResourceAnalyzeResult struct { + LowUsageTimePercent int `json:"low_usage_time"` + FirstSubmit bool `json:"first_submit"` + Similarity int `json:"similarity"` +} + +// webhook option +type k8sOption struct { + Op string `json:"op"` + Path string `json:"path"` + Value interface{} `json:"value"` +} + +func Serve(w http.ResponseWriter, r *http.Request) { + var err error + var body []byte + var respData []byte + ctx, cancel := context.WithTimeout(r.Context(), TIMEOUT) + defer func() { + cancel() + if err != nil { + LogErr("serve err:%v", err) + w.WriteHeader(500) + return + } + + w.WriteHeader(200) + w.Header().Set("Content-Type", "application/json") + if _, err = w.Write(respData); err != nil { + LogErr("write resp err:%v", err) + w.WriteHeader(500) + } + }() + if r.Body != nil { + var data []byte + if data, err = ioutil.ReadAll(r.Body); err == nil { + body = data + } + } + + req := v1.AdmissionReview{} + + if err = json.Unmarshal(body, &req); err != nil { + LogErr("unmarshal err:%v", err) + return + } + + LogInfo(string(body)) + + outputLabel := make(map[string]string) + switch req.Request.Kind.Kind { + case "Pod": + pod := corev1.Pod{} + if err = json.Unmarshal(req.Request.Object.Raw, &pod); err != nil { + LogErr("unmarshal pod failed, skip, err: %v", err) + return + } + outputLabel, err = analyze(ctx, pod.Annotations) + for k, v := range pod.Annotations { + outputLabel[k] = v + } + // outputLabel[KUBE_GPU_SPARSE_LABEL_KEY] = pod.Annotations[KUBE_GPU_SPARSE_LABEL_KEY] + if err != nil { + LogErr("analyze failed, err:%v", err) + return + } + } + + patchType := v1.PatchTypeJSONPatch + resp := &v1.AdmissionReview{} + + options := k8sOption{ + Op: "add", + Path: "/metadata/annotations", + Value: outputLabel, + } + print(outputLabel) + var patch []byte + patch, err = json.Marshal([]k8sOption{options}) + if err != nil { + LogErr("marshal options failed, err:%v", err) + return + } + LogInfo("marshal options success, options:%s", string(patch)) + resp.Response = &v1.AdmissionResponse{ + UID: req.Request.UID, + Allowed: true, + PatchType: &patchType, + Patch: patch, + } + resp.SetGroupVersionKind(v1.SchemeGroupVersion.WithKind("AdmissionReview")) + + var respObject runtime.Object = resp + + respData, err = json.Marshal(respObject) + LogInfo("response data:%v", string(respData)) + +} + +func analyze(ctx context.Context, inputLabels map[string]string) (outputLabels map[string]string, err error) { + outputLabels = make(map[string]string) + resp := TaskResourceAnalyzeResult{} + info := TaskInfo{} + defer func() { + if err != nil { + return + } + var bytes []byte + bytes, err = json.Marshal(resp) + if err != nil { + LogErr("marshal analyze resp failed, resp:%v, err:%v", resp, err) + return + } + outputLabels[KUBE_GPU_SPARSE_LABEL_ANALYZE_KEY] = string(bytes) + }() + label, ok := inputLabels[KUBE_GPU_SPARSE_LABEL_KEY] + if !ok { + LogInfo("label not exist, skip") + return + } + err = json.Unmarshal([]byte(label), &info) + if err != nil { + LogErr("unmarshal input label failed, label:%s, err:%v", label, err) + return + } + + resp.End2End, err = analyzeEnd2End(ctx, &info) + if info.IsEnd2End { + return + } + resp.NotEnd2End, err = analyzeNotEnd2End(ctx, &info) + if err != nil { + LogErr("analyze not end2end failed, err:%v", err) + return + } + return +} + +func analyzeEnd2End(ctx context.Context, info *TaskInfo) (result *End2EndResourceAnalyzeResult, err error) { + end2endResp := End2EndResourceAnalyzeResp{} + err = PostJson(ctx, PYTHON_MODEL_HOST, PYTHON_ANALYZE_MODEL_PATH, info, nil, &end2endResp) + if err != nil { + LogErr("post python model failed, info:%v, err:%v", *info, err) + return + } + if end2endResp.Code != 0 { + err = fmt.Errorf("python return err, code:%d, msg:%s", end2endResp.Code, end2endResp.Msg) + LogErr("%v", err) + return + } + result = end2endResp.Data + return +} + +func analyzeNotEnd2End(ctx context.Context, info *TaskInfo) (result *NotEnd2EndResourceAnalyzeResult, err error) { + result = &NotEnd2EndResourceAnalyzeResult{} + record, dalErr := GetTaskResourceUsageRecord(ctx, info.TaskID) + if dalErr != nil && !IsRecordNotFound(dalErr) { + LogErr("get history task resource usage from mysql failed, err:%v", dalErr) + return nil, dalErr + } + if dalErr == nil { + result.LowUsageTimePercent = record.LowUsageTimePercent + return + } + result.FirstSubmit = true + // TODO find from similary records + result.LowUsageTimePercent = 30 + result.Similarity = 70 + return +} diff --git a/webhook/python/analyze/2080_analyze.csv b/webhook/python/analyze/2080_analyze.csv new file mode 100644 index 0000000000000000000000000000000000000000..d26d87da87c4cf62ca0199060f1d841dace83605 --- /dev/null +++ b/webhook/python/analyze/2080_analyze.csv @@ -0,0 +1,2110 @@ 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diff --git a/webhook/python/analyze/analyze.py b/webhook/python/analyze/analyze.py new file mode 100644 index 0000000000000000000000000000000000000000..be5f7b272232ff07764db68b850ec55ec43e1f91 --- /dev/null +++ b/webhook/python/analyze/analyze.py @@ -0,0 +1,617 @@ +import os +import numpy as np +import pandas as pd +# import matplotlib.pyplot as plt +from sklearn.model_selection import train_test_split +from sklearn.ensemble import RandomForestRegressor +from sklearn.ensemble import GradientBoostingRegressor +from sklearn.linear_model import LinearRegression +from sklearn.model_selection import cross_val_score +from sklearn.preprocessing import StandardScaler +from sklearn.neural_network import MLPRegressor +from sklearn import metrics +import joblib + +# common settings +dataMode = "embedding" +gpuMode = "profile" +trainCsvName = 'V100_analyze.csv' + +# used by generate csv file +filePath = './V100/normal/total/' + +# used by train and dump models +modelName = '../models/resource_analyze_random_forest_V100_embedding.pkl' + +inputFieldProfile = ['gpu_util','mem_copy_util','frame_buffer_used_mib','sm_active','sm_occupied','tensor_util','dram_active','fb64_active','fb32_active','fb16_active'] +inputFieldNormal = ['gpu_util','mem_copy_util','frame_buffer_used_mib'] +outputTrainFieldEmbedding = ['macs', + 'params', + 'batchSize', + 'relu_count', + 'embedding_layer_count', + 'embedding_size_sum', + 'embedding_dim_sum', + 'embedding_size_max', + 'embedding_dim_max' + ] +outputTrainFieldNormal = ['macs', + 'params', + 'batchSize', + 'relu_count'] +outputLabelsFieldProfile = [ + 'gpu_util_avg', + 'gpu_util_std', + 'fb_usage_mib_max', + 'sm_active_avg', + 'sm_active_std', + 'sm_occupied_avg', + 'sm_occupied_std', + 'dram_active_avg', + 'dram_active_std', + 'fb32_active_avg', + 'fb32_active_std' + ] +outputLabelsFieldNormal = [ 'gpu_util_avg', + 'gpu_util_std', + 'fb_usage_mib_max'] +outputs = [] + +realTrainFieldEmbedding = ['macs', + 'params', + 'batchSize', + # 'relu_count', + 'embedding_layer_count', + 'embedding_size_sum', + 'embedding_dim_sum', + # 'embedding_size_max', + # 'embedding_dim_max' + ] +realTrainFieldNormal = ['macs', + 'params', + 'batchSize', + # 'relu_count' + ] +realLabelsFieldProfile = [ + 'gpu_util_avg', + 'gpu_util_std', + 'fb_usage_mib_max', + 'sm_active_avg', + 'sm_active_std', + 'sm_occupied_avg', + 'sm_occupied_std', + 'dram_active_avg', + 'dram_active_std', + 'fb32_active_avg', + 'fb32_active_std' + ] +realLabelsFieldNormal = [ 'gpu_util_avg', + 'gpu_util_std', + 'fb_usage_mib_max' + ] + +if gpuMode == "profile": + inputField = inputFieldProfile + outputLabelsField = outputLabelsFieldProfile + realLabelsField = realLabelsFieldProfile +else: + inputField = inputFieldNormal + outputLabelsField = outputLabelsFieldNormal + realLabelsField = realLabelsFieldNormal + +if dataMode == 'embedding': + outputTrainField = outputTrainFieldEmbedding + realTrainField = realTrainFieldEmbedding +else: + outputTrainField = outputTrainFieldNormal + realTrainField = realTrainFieldNormal + +def is_number(s): + try: + float(s) + return True + except ValueError: + pass + return False + +def writeCsv(): + fileList = os.listdir(filePath) + writeData = [] + counter = 0 + for f in fileList: + counter+=1 + if f == 'analyze.py': + continue + canAppend = True + output = [] + with open(filePath+f, 'r', encoding='utf-8') as rf: + lines = rf.readlines() + train_line = lines[0].split(',') + # print(train_line) + for i in range(2, len(train_line)): + # print(train_line[i]) + name, num = train_line[i].split(':') + if (name == 'macs') or (name == 'params'): + if num[-1] == 'K': + num = float(num[0:-1]) * 10 ** 3 + elif num[-1] == 'M': + num = float(num[0:-1]) * 10 ** 6 + elif num[-1] == 'G': + num = float(num[0:-1]) * 10 ** 9 + else: + num = float(num) + else: + num = float(num) + if i-2 >= len(outputTrainField): + break + if name == outputTrainField[i-2]: + output.append(num) + else: + print('warning: file {} index {} not match, expected {}, got {}'.format(f, i, outputTrainField[i-1], name)) + canAppend = False + break + if not canAppend: + continue + canAppend = False + numbers = [] + memMax = 0 + for i in range(1, len(lines)): + nums = lines[i].split(' ') + realNums = [] + if (len(nums) < 1) or (nums[0] != 'GPU'): + continue + canAppend = True + # print(nums) + for item in nums: + if is_number(item): + realNums.append(float(item)) + if len(realNums) != len(inputField) + 1: + print('warning: file {} line {} not match inputField, got len {}'.format(f, i, len(realNums))) + canAppend = False + break + numbers.append(realNums[1:]) + if realNums[3] > memMax: + memMax = realNums[3] + if not canAppend: + continue + numbers = np.array(numbers) + avg = np.average(numbers,0) + std = np.std(numbers,0) + # gpu_util + output.append(avg[0]) + output.append(std[0]) + # fb_usage_max + output.append(memMax) + if gpuMode == "profile": + # sm_active + output.append(avg[3]) + output.append(std[3]) + # sm_occupied + output.append(avg[4]) + output.append(std[4]) + # dram_active + output.append(avg[6]) + output.append(std[6]) + # fb32_active + output.append(avg[8]) + output.append(std[8]) + writeData.append(output) + if counter % 100 == 0: + print('finish ', counter) + with open(filePath+trainCsvName,'w') as wf: + head = outputTrainField.copy() + head.extend(outputLabelsField) + wf.write(','.join(head) + '\n') + for line in writeData: + wf.write(','.join(str(e) for e in line) + '\n') + +# def analyzeHist(): +# data = pd.read_csv(filePath+trainCsvName) +# macs = np.array(data['macs']) +# params = np.array(data['params']) +# batchSize = np.array(data['batchSize']) +# embedding_layer_count = np.array(data['embedding_layer_count']) +# embedding_size_sum = np.array(data['embedding_size_max']) +# embedding_size_max = np.array(data['embedding_size_max']) + +# gpu_util_avg = np.array(data['gpu_util_avg']) +# sm_active_avg = np.array(data['sm_active_avg']) +# sm_occupied_avg = np.array(data['sm_occupied_avg']) +# fb32_active_avg = np.array(data['fb32_active_avg']) +# dram_active_avg = np.array(data['dram_active_avg']) + +# plt.figure(figsize=(15,5)) +# nums,bins,patches = plt.hist(embedding_size_max,bins=20,edgecolor='k') +# plt.xticks(bins,bins) +# for num,bin in zip(nums,bins): +# plt.annotate(num,xy=(bin,num),xytext=(bin+1.5,num+0.5)) +# plt.show() + +def RandomForestTrain(): + data = pd.read_csv(trainCsvName) + macs = data["macs"] / 1e6 # M + params = data["params"] / 1e3 # K + batchSize = data["batchSize"] + if dataMode == 'embedding': + embeddingCount = data['embedding_layer_count'] + embeddingSizeSum = data['embedding_size_sum'] / 1e4 # W + embeddingDimSum = data['embedding_dim_sum'] + x = pd.concat([ + macs, + params, + batchSize, + embeddingCount, + embeddingSizeSum, + embeddingDimSum, + ], axis=1).values + else: + x = pd.concat([ + macs, + params, + batchSize, + ], axis=1).values + + gpuUtilAvg = data['gpu_util_avg'] + gpuUtilStd = data['gpu_util_std'] + fbUsageGBMax = data['fb_usage_mib_max'] / 1024 # GB + if gpuMode == 'profile': + smActiveAvg = data["sm_active_avg"] * 100 + smActiveStd = data['sm_active_std'] * 100 + smOccupiedAvg = data['sm_occupied_avg'] * 100 + smOccupiedStd = data['sm_occupied_std'] * 100 + dramActiveAvg = data['dram_active_avg'] * 100 + dramActiveStd = data['dram_active_std'] * 100 + fb32ActiveAvg = data['fb32_active_avg'] * 100 + fb32ActiveStd = data['fb32_active_std'] * 100 + y = pd.concat([ + gpuUtilAvg, + gpuUtilStd, + fbUsageGBMax, + smActiveAvg, + smActiveStd, + smOccupiedAvg, + smOccupiedStd, + dramActiveAvg, + dramActiveStd, + fb32ActiveAvg, + fb32ActiveStd, + ], axis=1).values + else: + y = pd.concat([ + gpuUtilAvg, + gpuUtilStd, + fbUsageGBMax, + ], axis=1).values + + x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.1, random_state=0) + # print(x_train) + + # sc = StandardScaler() + # x_train = sc.fit_transform(x_train) + # x_test = sc.fit_transform(x_test) + regressor = RandomForestRegressor(n_estimators=200, random_state=0) + regressor.fit(x_train, y_train) + y_pred = regressor.predict(x_test) + + print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred)) + print('Mean Squared Error:', metrics.mean_squared_error(y_test, y_pred)) + print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, y_pred))) + print('R2:', metrics.r2_score(y_test, y_pred)) + + score = np.mean(-cross_val_score(regressor,x_test,y_test,cv=5,scoring='neg_mean_squared_error')) + print('随机森林回归模型平均性能得分：'+str(score)) + print("随机森林回归模型特征重要性："+str(regressor.feature_importances_)) + + # joblib.dump(regressor, modelName) + +def LinearRegressionModel(): + data = pd.read_csv(trainCsvName) + macs = data["macs"] / 1e6 # M + params = data["params"] / 1e3 # K + batchSize = data["batchSize"] + if dataMode == 'embedding': + embeddingCount = data['embedding_layer_count'] + embeddingSizeSum = data['embedding_size_sum'] / 1e4 # W + embeddingDimSum = data['embedding_dim_sum'] + x = pd.concat([ + macs, + params, + batchSize, + embeddingCount, + embeddingSizeSum, + embeddingDimSum, + ], axis=1).values + else: + x = pd.concat([ + macs, + params, + batchSize, + ], axis=1) + + gpuUtilAvg = data['gpu_util_avg'] + gpuUtilStd = data['gpu_util_std'] + fbUsageGBMax = data['fb_usage_mib_max'] / 1024 # GB + if gpuMode == 'profile': + smActiveAvg = data["sm_active_avg"] * 100 + smActiveStd = data['sm_active_std'] * 100 + smOccupiedAvg = data['sm_occupied_avg'] * 100 + smOccupiedStd = data['sm_occupied_std'] * 100 + dramActiveAvg = data['dram_active_avg'] * 100 + dramActiveStd = data['dram_active_std'] * 100 + fb32ActiveAvg = data['fb32_active_avg'] * 100 + fb32ActiveStd = data['fb32_active_std'] * 100 + y = pd.concat([ + gpuUtilAvg, + gpuUtilStd, + fbUsageGBMax, + smActiveAvg, + smActiveStd, + smOccupiedAvg, + smOccupiedStd, + dramActiveAvg, + dramActiveStd, + fb32ActiveAvg, + fb32ActiveStd, + ], axis=1) + else: + y = pd.concat([ + gpuUtilAvg, + gpuUtilStd, + fbUsageGBMax, + ], axis=1) + + x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=0) + + # sc = StandardScaler() + # x_train = sc.fit_transform(x_train) + # x_test = sc.fit_transform(x_test) + from sklearn.preprocessing import PolynomialFeatures + pf = PolynomialFeatures(degree = 2) + x_train = pf.fit_transform(x_train) + x_test = pf.fit_transform(x_test) + + regressor = LinearRegression() + regressor.fit(x_train, y_train) + y_pred = regressor.predict(x_test) + + print('R2:', metrics.r2_score(y_test, y_pred)) + + joblib.dump(regressor, modelName) + +def GBDT(x_train, y_train, x_test): + params = {'n_estimators': 500, # 弱分类器的个数 + 'max_depth': 3, # 弱分类器（CART回归树）的最大深度 + 'min_samples_split': 5, # 分裂内部节点所需的最小样本数 + 'learning_rate': 0.05, # 学习率 +} # 损失函数：均方误差损失函数 + + regressor = GradientBoostingRegressor(**params) + regressor.fit(x_train, y_train) + + y_pred = regressor.predict(x_test) + + return regressor, y_pred + +def GBDTModels(): + data = pd.read_csv(trainCsvName) + x = data[realTrainField].values + y = data[realLabelsField].values + + x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=0) + + # print(len(y[:,0])) + y_pred = [] + for i in range(len(y[0])): + regressor, y_pred_one = GBDT(x_train, y_train[:,i], x_test) + y_pred_one = np.array(y_pred_one).reshape(-1,1) + y_pred.append(y_pred_one) + print('model '+str(i)) + y_pred = np.concatenate(y_pred, axis=1) + + print('R2:', metrics.r2_score(y_test, y_pred)) + + joblib.dump(regressor, modelName) + +def V100End2EndmodelsLoad(x): + # from sklearn.preprocessing import PolynomialFeatures + # pf = PolynomialFeatures(degree = 2) + # x = pf.fit_transform(x) + v100_end2end = joblib.load(modelName) + print(x) + print(v100_end2end.predict(x)) + +def MLP(): + data = pd.read_csv(trainCsvName) + x = data[realTrainField].values + y = data[realLabelsField].values + + x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=0) + + regressor = MLPRegressor(hidden_layer_sizes=[64,64,64]) + regressor.fit(x_train, y_train) + y_pred = regressor.predict(x_test) + + print('R2:', metrics.r2_score(y_test, y_pred)) + + joblib.dump(regressor, modelName) + +def compareWithHorus(): + compareCsv = 'compare.csv' + + data = pd.read_csv(compareCsv) + macs = data["macs"] / 1e6 # M + params = data["params"] / 1e3 # K + batchSize = data["batchSize"] + x = pd.concat([ + macs, + params, + batchSize, + ], axis=1) + + gpuUtilAvg = data['gpu_util_avg'] + gpuUtilStd = data['gpu_util_std'] + fbUsageGBMax = data['fb_usage_mib_max'] / 1024 # GB + smActiveAvg = data["sm_active_avg"] * 100 + smActiveStd = data['sm_active_std'] * 100 + smOccupiedAvg = data['sm_occupied_avg'] * 100 + smOccupiedStd = data['sm_occupied_std'] * 100 + dramActiveAvg = data['dram_active_avg'] * 100 + dramActiveStd = data['dram_active_std'] * 100 + fb32ActiveAvg = data['fb32_active_avg'] * 100 + fb32ActiveStd = data['fb32_active_std'] * 100 + y = pd.concat([ + # gpuUtilAvg, + # gpuUtilStd, + # fbUsageGBMax, + # smActiveAvg, + # smActiveStd, + # smOccupiedAvg, + # smOccupiedStd, + # dramActiveAvg, + # dramActiveStd, + fb32ActiveAvg, + # fb32ActiveStd, + ], axis=1) + + x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=0) + horus_regressor = RandomForestRegressor(n_estimators=200, random_state=0) + horus_regressor.fit(x_train, y_train) + y_pred = horus_regressor.predict(x_test) + + print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred)) + print('Mean Squared Error:', metrics.mean_squared_error(y_test, y_pred)) + print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, y_pred))) + print('R2:', metrics.r2_score(y_test, y_pred)) + + + embeddingTrainCsv = 'V100_analyze.csv' + normalTrainCsv = 'V100_analyze_normal.csv' + + data = pd.read_csv(normalTrainCsv) + macs = data["macs"] / 1e6 # M + params = data["params"] / 1e3 # K + batchSize = data["batchSize"] + nomal_x = pd.concat([ + macs, + params, + batchSize, + ], axis=1) + + gpuUtilAvg = data['gpu_util_avg'] + gpuUtilStd = data['gpu_util_std'] + fbUsageGBMax = data['fb_usage_mib_max'] / 1024 # GB + smActiveAvg = data["sm_active_avg"] * 100 + smActiveStd = data['sm_active_std'] * 100 + smOccupiedAvg = data['sm_occupied_avg'] * 100 + smOccupiedStd = data['sm_occupied_std'] * 100 + dramActiveAvg = data['dram_active_avg'] * 100 + dramActiveStd = data['dram_active_std'] * 100 + fb32ActiveAvg = data['fb32_active_avg'] * 100 + fb32ActiveStd = data['fb32_active_std'] * 100 + normal_y = pd.concat([ + # gpuUtilAvg, + # gpuUtilStd, + # fbUsageGBMax, + # smActiveAvg, + # smActiveStd, + # smOccupiedAvg, + # smOccupiedStd, + # dramActiveAvg, + # dramActiveStd, + fb32ActiveAvg, + # fb32ActiveStd, + ], axis=1) + + normal_x_train, normal_x_test, normal_y_train, normal_y_test = train_test_split(nomal_x, normal_y, test_size=0.2, random_state=0) + print(type(normal_y_test)) + + + regressor = RandomForestRegressor(n_estimators=200, random_state=0) + regressor.fit(normal_x_train, normal_y_train) + normal_y_pred = regressor.predict(normal_x_test) + print(type(normal_y_pred)) + + data = pd.read_csv(embeddingTrainCsv) + macs = data["macs"] / 1e6 # M + params = data["params"] / 1e3 # K + batchSize = data["batchSize"] + embeddingCount = data['embedding_layer_count'] + embeddingSizeSum = data['embedding_size_sum'] / 1e4 # W + embeddingDimSum = data['embedding_dim_sum'] + embedding_x = pd.concat([ + macs, + params, + batchSize, + embeddingCount, + embeddingSizeSum, + embeddingDimSum, + ], axis=1).values + + gpuUtilAvg = data['gpu_util_avg'] + gpuUtilStd = data['gpu_util_std'] + fbUsageGBMax = data['fb_usage_mib_max'] / 1024 # GB + smActiveAvg = data["sm_active_avg"] * 100 + smActiveStd = data['sm_active_std'] * 100 + smOccupiedAvg = data['sm_occupied_avg'] * 100 + smOccupiedStd = data['sm_occupied_std'] * 100 + dramActiveAvg = data['dram_active_avg'] * 100 + dramActiveStd = data['dram_active_std'] * 100 + fb32ActiveAvg = data['fb32_active_avg'] * 100 + fb32ActiveStd = data['fb32_active_std'] * 100 + embedding_y = pd.concat([ + # gpuUtilAvg, + # gpuUtilStd, + # fbUsageGBMax, + # smActiveAvg, + # smActiveStd, + # smOccupiedAvg, + # smOccupiedStd, + # dramActiveAvg, + # dramActiveStd, + fb32ActiveAvg, + # fb32ActiveStd, + ], axis=1) + + embedding_x_train, embedding_x_test, embedding_y_train, embedding_y_test = train_test_split(embedding_x, embedding_y, test_size=0.2, random_state=0) + regressor = RandomForestRegressor(n_estimators=200, random_state=0) + regressor.fit(embedding_x_train, embedding_y_train) + embedding_y_pred = regressor.predict(embedding_x_test) + + y_test = pd.concat([normal_y_test, embedding_y_test]) + y_pred = np.concatenate((normal_y_pred, embedding_y_pred), axis=0) + print('R2:', metrics.r2_score(y_test, y_pred)) + print("随机森林回归模型特征重要性："+str(regressor.feature_importances_)) + + embedding_with_out_emb_x = pd.concat([ + macs, + params, + batchSize, + ], axis=1) + normal_y = horus_regressor.predict(embedding_with_out_emb_x) + normal_y = pd.DataFrame(normal_y) + + y_pred = regressor.predict(embedding_x) + y_pred = pd.DataFrame(y_pred) + + embedding_x = pd.DataFrame(embedding_x) + horus = pd.concat([embedding_x, normal_y], axis=1) + sparse = pd.concat([embedding_x, y_pred], axis=1) + + horus.to_csv('horus.csv', index=False) + sparse.to_csv('sparse.csv', index=False) + + + + + + + + + +# V100End2EndmodelsLoad(np.array([55.789,294.272,191.0,7.0,389.0,228.0]).reshape(1,6)) +# V100End2EndmodelsLoad(np.array([2363.3666,45922.8160,128]).reshape(1,3)) + +# writeCsv() + +compareWithHorus() + \ No newline at end of file diff --git a/webhook/python/analyze/compare.csv b/webhook/python/analyze/compare.csv new file mode 100644 index 0000000000000000000000000000000000000000..5608dc75edf0a317bebc13fa54b0e201d8c5a893 --- /dev/null +++ b/webhook/python/analyze/compare.csv @@ -0,0 +1,30554 @@ 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+0.089472,89.856,32,15.33,39 +0.14272,143.104,32,9.65,39 +0.249216,249.6,32,5.41,39 +0.089472,89.856,128,14.97,39 +0.216384,217.088,32,9.58,39 +0.380192,381.696,32,9.57,39 +1.232,1235,32,9.56,39 +4.509,4515,32,9.6,39 +4.509,4515,32,7.13,39 +4.562,4568,32,5.05,39 +12.034,12045,32,5.03,39 +11.981,11992,32,7.09,39 +11.903,11914,32,6.55,39 +11.917,11929,32,4.52,39 +11.903,11914,32,8.59,39 +11.932,11943,32,4.58,39 \ No newline at end of file diff --git a/webhook/python/analyze/speed.py b/webhook/python/analyze/speed.py new file mode 100644 index 0000000000000000000000000000000000000000..aa974dde61974f787406dd17bf093df16b9f353b --- /dev/null +++ b/webhook/python/analyze/speed.py @@ -0,0 +1,34 @@ +import pandas as pd +import numpy as np +from sklearn.model_selection import train_test_split +from sklearn.model_selection import cross_val_score +from sklearn.ensemble import RandomForestRegressor +from sklearn import metrics +import joblib + +speed = pd.read_csv('./speed.csv') +modelName = '../models/speed.pkl' + +macs = speed['macs'] # 1e6 +params = speed['params'] # 1e3 +batchSize = speed['batchSize'] +inputSize = speed['input_size'] + +x = pd.concat([macs,params,batchSize,inputSize], axis=1).values +y = speed['speed'].values + +x_train, x_test, y_train, y_test = x, x, y, y + +regressor = RandomForestRegressor(n_estimators=200, random_state=0) +regressor.fit(x_train, y_train) +y_pred = regressor.predict(x_test) +print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred)) +print('Mean Squared Error:', metrics.mean_squared_error(y_test, y_pred)) +print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, y_pred))) +print('R2:', metrics.r2_score(y_test, y_pred)) + +score = np.mean(-cross_val_score(regressor,x_test,y_test,cv=5,scoring='neg_mean_squared_error')) +print('随机森林回归模型平均性能得分：'+str(score)) +print("随机森林回归模型特征重要性："+str(regressor.feature_importances_)) + +joblib.dump(regressor, modelName) \ No newline at end of file diff --git a/webhook/python/models/__pycache__/models.cpython-310.pyc b/webhook/python/models/__pycache__/models.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..903572dc190983ba9ce5ce4f63bc567397460c3f Binary files /dev/null and b/webhook/python/models/__pycache__/models.cpython-310.pyc differ diff --git a/webhook/python/models/models.py b/webhook/python/models/models.py new file mode 100644 index 0000000000000000000000000000000000000000..1a9dbaf9c010a86e38c31fc94707362258c0fd19 --- /dev/null +++ b/webhook/python/models/models.py @@ -0,0 +1,150 @@ +import os +import numpy as np +import pandas as pd +# import matplotlib.pyplot as plt +from sklearn.model_selection import train_test_split +from sklearn.ensemble import RandomForestRegressor +from sklearn.model_selection import cross_val_score +from sklearn.preprocessing import StandardScaler +from sklearn.preprocessing import PolynomialFeatures +from sklearn import metrics +import joblib + +MACS_KEY = "macs" +PARAMS_KEY = "params" +BATCHSIZE_KEY = "batch_size" +EMBEDDING_SIZE_TOTAL_KEY = "embedding_size_total" +EMBEDDING_DIM_TOTAL_KEY = "embedding_dim_total" +EMBEDDING_TABLE_COUNT = "embedding_table_count" +INPUT_SIZE = "input_size" + +outputLabelsField = [ 'gpu_util_avg', + 'gpu_util_std', + 'mem_usage', # mib + 'sm_active_avg', + 'sm_active_std', + 'sm_occupied_avg', + 'sm_occupied_std', + 'dram_active_avg', + 'dram_active_std', + 'fp32_active_avg', + 'fp32_active_std' + ] + +def initModels(baseDir): + global pf, v100_embedding, p100_embedding, titan_embedding, _2080_embedding, v100_normal, p100_normal, titan_normal, _2080_normal, speed_model + v100_embedding = joblib.load(baseDir+'resource_analyze_random_forest_V100_embedding.pkl') + p100_embedding = joblib.load(baseDir+'resource_analyze_random_forest_P100_embedding.pkl') + titan_embedding = joblib.load(baseDir+'resource_analyze_random_forest_TITAN_embedding.pkl') + _2080_embedding = joblib.load(baseDir+'resource_analyze_random_forest_2080_embedding.pkl') + + v100_normal = joblib.load(baseDir+'resource_analyze_random_forest_V100_normal.pkl') + p100_normal = joblib.load(baseDir+'resource_analyze_random_forest_P100_normal.pkl') + titan_normal = joblib.load(baseDir+'resource_analyze_random_forest_TITAN_normal.pkl') + _2080_normal = joblib.load(baseDir+'resource_analyze_random_forest_2080_normal.pkl') + + speed_model = joblib.load(baseDir+'speed.pkl') + + # pf = PolynomialFeatures(degree = 2) + +def analyze(body): + ret = {} + if body[EMBEDDING_TABLE_COUNT] == 0: + print('normal mode!!!!!!!') + # TODO normal analyze + x = np.array([body[MACS_KEY], + body[PARAMS_KEY], + body[BATCHSIZE_KEY]]).reshape(1,3) + # x = pf.fit_transform(x) + # print(x) + v100_normal_y = v100_normal.predict(x)[0] + p100_normal_y = p100_normal.predict(x)[0] + titan_normal_y = titan_normal.predict(x)[0] + _2080_normal_y = _2080_normal.predict(x)[0] + ret = { + "V100": { + 'gpu_util_avg': v100_normal_y[0], + 'gpu_util_std': v100_normal_y[1], + 'mem_usage': v100_normal_y[2], # GB + 'sm_active_avg': v100_normal_y[3], + 'sm_active_std': v100_normal_y[4], + 'sm_occupied_avg': v100_normal_y[5], + 'sm_occupied_std': v100_normal_y[6], + 'dram_active_avg': v100_normal_y[7], + 'dram_active_std': v100_normal_y[8], + 'fp32_active_avg': v100_normal_y[9], + 'fp32_active_std': v100_normal_y[10] + }, + "P100": { + 'gpu_util_avg': p100_normal_y[0], + 'gpu_util_std': p100_normal_y[1], + 'mem_usage': p100_normal_y[2], # GB + }, + "2080": { + 'gpu_util_avg': _2080_normal_y[0], + 'gpu_util_std': _2080_normal_y[1], + 'mem_usage': _2080_normal_y[2], # GB + }, + "TITAN": { + 'gpu_util_avg': titan_normal_y[0], + 'gpu_util_std': titan_normal_y[1], + 'mem_usage': titan_normal_y[2], # GB + } + } + else: + x = np.array([body[MACS_KEY], + body[PARAMS_KEY], + body[BATCHSIZE_KEY], + body[EMBEDDING_TABLE_COUNT], + body[EMBEDDING_SIZE_TOTAL_KEY], + body[EMBEDDING_DIM_TOTAL_KEY]]).reshape(1, 6) + # x = pf.fit_transform(x) + v100_embedding_y = v100_embedding.predict(x)[0] + p100_embedding_y = p100_embedding.predict(x)[0] + titan_embedding_y = titan_embedding.predict(x)[0] + _2080_embedding_y = _2080_embedding.predict(x)[0] + # print(v100_embedding_y) + ret = { + "V100": { + 'gpu_util_avg': v100_embedding_y[0], + 'gpu_util_std': v100_embedding_y[1], + 'mem_usage': v100_embedding_y[2], # GB + 'sm_active_avg': v100_embedding_y[3], + 'sm_active_std': v100_embedding_y[4], + 'sm_occupied_avg': v100_embedding_y[5], + 'sm_occupied_std': v100_embedding_y[6], + 'dram_active_avg': v100_embedding_y[7], + 'dram_active_std': v100_embedding_y[8], + 'fp32_active_avg': v100_embedding_y[9], + 'fp32_active_std': v100_embedding_y[10] + }, + "P100": { + 'gpu_util_avg': p100_embedding_y[0], + 'gpu_util_std': p100_embedding_y[1], + 'mem_usage': p100_embedding_y[2], # GB + }, + "2080": { + 'gpu_util_avg': _2080_embedding_y[0], + 'gpu_util_std': _2080_embedding_y[1], + 'mem_usage': _2080_embedding_y[2], # GB + }, + "TITAN": { + 'gpu_util_avg': titan_embedding_y[0], + 'gpu_util_std': titan_embedding_y[1], + 'mem_usage': titan_embedding_y[2], # GB + } + } + + size = 1 + if INPUT_SIZE in body: + size = body[INPUT_SIZE] + # print('yes!') + x = np.array([body[MACS_KEY], body[PARAMS_KEY], body[BATCHSIZE_KEY], size]).reshape(1, 4) + speed = speed_model.predict(x) + + ret["V100"]["speed"] = speed[0] + ret["P100"]["speed"] = speed[0] + ret["2080"]["speed"] = speed[0] + ret["TITAN"]["speed"] = speed[0] + + return ret \ No newline at end of file diff --git a/webhook/python/server.py b/webhook/python/server.py new file mode 100644 index 0000000000000000000000000000000000000000..3ca9d9560077de6b1bd0e5250355bac39d49f257 --- /dev/null +++ b/webhook/python/server.py @@ -0,0 +1,35 @@ +from flask import Flask, request +import models.models as models +import json + +app = Flask("resource-analyze") + +@app.route('/api/v1/task/analyze/end2end', methods=['POST']) +def analyze_end2end(): + body = request.stream.read() + print(body) + body = json.loads(body) + print(body) + + resp = { + "code": 0, + "msg": "success", + "data": {} + } + + try: + data = models.analyze(body) + resp["data"] = data + except Exception as e: + print(str(e)) + resp["code"] = -1 + resp["msg"] = str(e) + resp['data'] = {} + + return resp + +if __name__ == '__main__': + # models.initModels('./models/') + models.initModels('./python/models/') + + app.run(host='0.0.0.0', port=5000) \ No newline at end of file diff --git a/webhook/reqeust.json b/webhook/reqeust.json new file mode 100644 index 0000000000000000000000000000000000000000..d5814dc8d27fd00237d1ca4108b09eaad07f479d --- /dev/null +++ b/webhook/reqeust.json @@ -0,0 +1,14 @@ +{ + "response": { + "uid": string, + "allowed": bool, + "patchType": string, + "patch": [ + { + "op": string, + "patch": string, + "value": string + } + ] + } +} \ No newline at end of file diff --git a/webhook/resource-analyze-webhook b/webhook/resource-analyze-webhook new file mode 100755 index 0000000000000000000000000000000000000000..9fcd57b7eb8f88e573244a150bedbdd89a544cad Binary files /dev/null and b/webhook/resource-analyze-webhook differ diff --git a/webhook/webhook-create-signed-cert.sh b/webhook/webhook-create-signed-cert.sh new file mode 100644 index 0000000000000000000000000000000000000000..bd1cca6325a5c4aa731f9eb4d360557fb4f75d96 --- /dev/null +++ b/webhook/webhook-create-signed-cert.sh @@ -0,0 +1,126 @@ +#!/bin/bash + +set -e + +usage() { + cat <> ${tmpdir}/csr.conf +[req] +req_extensions = v3_req +distinguished_name = req_distinguished_name +[req_distinguished_name] +[ v3_req ] +basicConstraints = CA:FALSE +keyUsage = nonRepudiation, digitalSignature, keyEncipherment +extendedKeyUsage = serverAuth +subjectAltName = @alt_names +[alt_names] +DNS.1 = ${service} +DNS.2 = ${service}.${namespace} +DNS.3 = ${service}.${namespace}.svc +EOF + +openssl genrsa -out ${tmpdir}/server-key.pem 2048 +openssl req -new -key ${tmpdir}/server-key.pem -subj "/CN=${service}.${namespace}.svc" -out ${tmpdir}/server.csr -config ${tmpdir}/csr.conf + +# clean-up any previously created CSR for our service. Ignore errors if not present. +kubectl delete csr ${csrName} 2>/dev/null || true + +# create server cert/key CSR and send to k8s API +cat <&2 + exit 1 +fi +echo ${serverCert} | openssl base64 -d -A -out ${tmpdir}/server-cert.pem + + +# create the secret with CA cert and server cert/key +kubectl create secret generic ${secret} \ + --from-file=key.pem=${tmpdir}/server-key.pem \ + --from-file=cert.pem=${tmpdir}/server-cert.pem \ + --dry-run -o yaml | + kubectl -n ${namespace} apply -f - \ No newline at end of file diff --git a/webhook/webhook-patch-ca-bundle.sh b/webhook/webhook-patch-ca-bundle.sh new file mode 100644 index 0000000000000000000000000000000000000000..01d248b74514d90221f6e63a781a37b4e58cdd30 --- /dev/null +++ b/webhook/webhook-patch-ca-bundle.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +ROOT=$(cd $(dirname $0)/../../; pwd) + +set -o errexit +set -o nounset +set -o pipefail + + +#export CA_BUNDLE=$(kubectl config view --raw --flatten -o json | jq -r '.clusters[] | select(.name == "'$(kubectl config current-context)'") | .cluster."certificate-authority-data"') +export CA_BUNDLE=$(kubectl config view --raw --flatten -o json | jq -r '.clusters[] | .cluster."certificate-authority-data"') + +if command -v envsubst >/dev/null 2>&1; then + envsubst +else + sed -e "s|\${CA_BUNDLE}|${CA_BUNDLE}|g" +fi \ No newline at end of file diff --git a/webhook/yaml/deployment.yaml b/webhook/yaml/deployment.yaml new file mode 100644 index 0000000000000000000000000000000000000000..886f42fdb6d855ce05844cffa9a4a09c0a865979 --- /dev/null +++ b/webhook/yaml/deployment.yaml @@ -0,0 +1,54 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: resource-analyze-webhook + namespace: kube-gpu-sparse + labels: + app: resource-analyze-webhook +spec: + replicas: 1 + selector: + matchLabels: + app: resource-analyze-webhook + template: + metadata: + labels: + app: resource-analyze-webhook + spec: + affinity: + nodeAffinity: + preferredDuringSchedulingIgnoredDuringExecution: + - weight: 1 + preference: + matchExpressions: + - key: service-deploy + operator: In + values: + - "true" + imagePullSecrets: + - name: aliyun-docker-registry + containers: + - name: resource-analyze-webhook + image: crpi-n6whjwiqnzcdcg4s.cn-beijing.personal.cr.aliyuncs.com/crater-harbor/resource-analyze-webhook:v0.15.0 + imagePullPolicy: IfNotPresent + command: + # - "sh" + # - "-c" + # - "sleep infinity" + - /resource-analyze-webhook + - -tlsCertFile=/etc/webhook/certs/cert.pem + - -tlsKeyFile=/etc/webhook/certs/key.pem + - 2>&1 + volumeMounts: + - name: webhook-certs + mountPath: /etc/webhook/certs + readOnly: true + ports: + - name: webhook + containerPort: 443 + - name: analyze + containerPort: 5000 + volumes: + - name: webhook-certs + secret: + secretName: resource-analyze-webhook-certs diff --git a/webhook/yaml/secret.yaml b/webhook/yaml/secret.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d4a58b5f0993259f4dbe617156b86c77de512abe --- /dev/null +++ b/webhook/yaml/secret.yaml @@ -0,0 +1,8 @@ +apiVersion: v1 +data: + cert.pem: 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 + key.pem: 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 +kind: Secret +metadata: + name: resource-analyze-webhook-certs + namespace: kube-gpu-sparse \ No newline at end of file diff --git a/webhook/yaml/service.yaml b/webhook/yaml/service.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e5e17f274067a68491379a7e59af757ced5b7e0b --- /dev/null +++ b/webhook/yaml/service.yaml @@ -0,0 +1,27 @@ +apiVersion: v1 +kind: Service +metadata: + name: resource-analyze-webhook-svc + namespace: kube-gpu-sparse +spec: + selector: + app: resource-analyze-webhook + ports: + - protocol: TCP + port: 443 + targetPort: 443 +--- +apiVersion: v1 +kind: Service +metadata: + name: resource-analyze-svc + namespace: kube-gpu-sparse +spec: + selector: + app: resource-analyze-webhook + type: NodePort + ports: + - protocol: TCP + port: 80 + targetPort: 5000 + nodePort: 30500 \ No newline at end of file diff --git a/webhook/yaml/webhook.yaml b/webhook/yaml/webhook.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e9bc21b131ac9b6886e02b081bc9b97276111c37 --- /dev/null +++ b/webhook/yaml/webhook.yaml @@ -0,0 +1,24 @@ +apiVersion: admissionregistration.k8s.io/v1 +kind: MutatingWebhookConfiguration +metadata: + labels: + app: resource-analyze-webhook-svc + name: resource-analyze-webhook-svc +webhooks: + - clientConfig: + caBundle: 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 + service: + name: resource-analyze-webhook-svc + namespace: kube-gpu-sparse + path: /mutate + failurePolicy: Ignore + name: resource-analyze-webhook.kube-gpu-sparse.webhook + admissionReviewVersions: ["v1"] + timeoutSeconds: 5 + sideEffects: None + rules: + - apiGroups: [""] + apiVersions: ["v1"] + operations: ["CREATE"] + resources: ["pods"] + scope: "*"