查看任务进程

操作步骤

在管理节点查看任务Pod的状态，需要保证Pod状态为Running。

执行以下命令，查看Pod运行情况。

kubectl get pod --all-namespaces -o wide

单机单芯片训练任务回显示例。

NAMESPACE        NAME                                       READY   STATUS              RESTARTS   AGE     IP                NODE           NOMINATED NODE   READINESS GATES
...
vcjob            mindx-dls-test-default-test-0             1/1     Running            0          4m      192.168.243.198   ubuntu         <none>           <none>
...

两个训练节点，执行2*8芯片分布式训练任务回显示例。

NAMESPACE        NAME                                       READY   STATUS              RESTARTS   AGE     IP                NODE           NOMINATED NODE   READINESS GATES
...
vcjob            mindx-dls-test-default-test-0             1/1     Running            0          3m      192.168.243.198   ubuntu         <none>           <none>
vcjob            mindx-dls-test-default-test-1             1/1     Running            0          3m      192.168.243.199   ubuntu         <none>           <none>
...

查看计算节点的NPU分配情况，在管理节点执行以下命令查看。

kubectl describe nodes {任务运行节点的节点名}

使用整卡调度特性，单机单芯片训练任务回显示例。

Name:               ubuntu
Roles:              master,worker
Labels:             accelerator=huawei-Ascend910
...
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  Resource              Requests        Limits
  --------              --------        ------
  cpu                   37250m (19%)    37500m (19%)
  memory                117536Mi (15%)  119236Mi (15%)
  ephemeral-storage     0 (0%)          0 (0%)
  huawei.com/Ascend910  1               1
Events:                 <none>

Allocated resources的字段huawei.com/Ascend910的值为1，表明训练使用了一个NPU。

使用静态vNPU调度特性，单机单芯片训练任务回显示例。

Name:               ubuntu
Roles:              master,worker
Labels:             accelerator=huawei-Ascend910
...
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  Resource              Requests        Limits
  --------              --------        ------
  cpu                   37250m (19%)    37500m (19%)
  memory                117536Mi (15%)  119236Mi (15%)
  ephemeral-storage     0 (0%)          0 (0%)
  huawei.com/Ascend910-2c  1               1
Events:                 <none>

Allocated resources的字段huawei.com/Ascend910-2c的值为1，表明训练使用了一个包含了2个AI Core的vNPU。

两个训练节点，执行2*8芯片分布式训练任务，查看其中一个节点示例。静态vNPU调度不支持分布式训练任务。

Name:               ubuntu
Roles:              master,worker
Labels:             accelerator=huawei-Ascend910
                    beta.kubernetes.io/arch=arm64
...
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  Resource              Requests        Limits
  --------              --------        ------
  cpu                   37250m (19%)    37500m (19%)
  memory                117536Mi (15%)  119236Mi (15%)
  ephemeral-storage     0 (0%)          0 (0%)
  huawei.com/Ascend910  8               8
Events:                 <none>

Allocated resources的字段huawei.com/Ascend910的值为8，表明分布式训练使用了节点上所有的NPU。

查看Pod的NPU使用情况。

本例中使用kubectl describe pod mindx-dls-test-default-test-0 -n vcjob命令查看运行Pod的情况。

单机单芯片训练任务示例，有如下加粗的内容表示正常。

root@ubuntu:/home/test/yaml# kubectl describe pod mindx-dls-test-default-test-0 -n vcjob
Name:         mindx-dls-test-default-test-0
Namespace:    vcjob
Priority:     0
Node:         ubuntu/XXX.XXX.XXX.XXX
Start Time:   Wed, 30 Sep 2020 15:38:22 +0800
Labels:       app=tf
              ring-controller.atlas=ascend-910
              volcano.sh/job-name=mindx-dls-test
              volcano.sh/job-namespace=vcjob
Annotations:  atlas.kubectl.kubernetes.io/ascend-910-configuration:
                {"pod_name":"0","server_id":"xx.xx.xx.xx","devices":[{"device_id":"3","device_ip":"192.168.20.102"}...
              cni.projectcalico.org/podIP: 192.168.243.195/32
              cni.projectcalico.org/podIPs: 192.168.243.195/32
              huawei.com/Ascend910: Ascend910-3
              huawei.com/AscendReal: Ascend910-3
              huawei.com/kltDev: Ascend910-3
              predicate-time: 18446744073709551615
              scheduling.k8s.io/group-name: mindx-dls-test
              volcano.sh/job-name: mindx-dls-test
              volcano.sh/job-version: 0
              volcano.sh/task-spec: default-test
Status:       Running

两个训练节点，执行2*8芯片分布式训练任务示例，有如下加粗的内容表示正常。

root@ubuntu:/home/test/yaml# kubectl describe pod mindx-dls-test-default-test-0 -n vcjob
Name:         mindx-dls-test-default-test-0
Namespace:    vcjob
Priority:     0
Node:         ubuntu/XXX.XXX.XXX.XXX
Start Time:   Wed, 30 Sep 2020 15:38:22 +0800
Labels:       app=tf
              ring-controller.atlas=ascend-910
              volcano.sh/job-name=mindx-dls-test
              volcano.sh/job-namespace=vcjob
Annotations:  atlas.kubectl.kubernetes.io/ascend-910-configuration:
                {"pod_name":"0","server_id":"XXX.XXX.XXX.XXX","devices":[{"device_id":"0","device_ip":"192.168.20.100"}...
              cni.projectcalico.org/podIP: 192.168.243.195/32
              cni.projectcalico.org/podIPs: 192.168.243.195/32
              huawei.com/Ascend910: Ascend910-0,Ascend910-1,Ascend910-2,Ascend910-3,Ascend910-4,Ascend910-5,Ascend910-6,Ascend910-7
              huawei.com/AscendReal: Ascend910-1,Ascend910-2,Ascend910-3,Ascend910-4,Ascend910-5,Ascend910-6,Ascend910-7,Ascend910-0
              huawei.com/kltDev: Ascend910-3,Ascend910-4,Ascend910-5,Ascend910-6,Ascend910-7,Ascend910-0,Ascend910-1,Ascend910-2
              predicate-time: 18446744073709551615
              scheduling.k8s.io/group-name: mindx-dls-test
              volcano.sh/job-name: mindx-dls-test
              volcano.sh/job-version: 0
              volcano.sh/task-spec: default-test
Status:       Running

父主题： 通过命令行使用（Volcano）