您可以通过客户端工具查看任务日志。本文介绍查询相关的命令详情，包括调用格式、参数解释及使用示例。

查看任务日志（logs）

  • 功能

    查看一个训练任务的日志详情。

  • 格式
    dlc logs <yourJobId> <yourPodId> [--max_events_num <yourMaxNum>] [--start_time <yourStartTime>] [--end_time <yourEndTime>]
  • 参数
    参数 是否必选 描述 类型
    <yourJobId> 是 待查看训练任务的ID。 STRING
    <yourPodId> 是 待查看日志的Pod ID。在分布式任务场景下，存在多个Pod。 STRING
    max_events_num <yourMaxNum> 否 返回的日志最大行数，默认值为2000。 INT
    start_time <yourStartTime 否 日志查询的起始时间，默认值为7天前。例如，start_time 2020-11-08T16:00:00Z。 STRING
    end_time <yourEndTime> 否 日志查询的截止时间，默认值为当前时间。例如，end_time 2020-11-08T17:00:00Z。 STRING
  • 示例
    针对分布式训练任务的0号Worker节点，获取十行日志。
    dlc logs dlc-20210411xxxxxx-xxxxxxxxxxxxx dlc-20210411xxxxxx-xxxxxxxxxxxxx-worker-0 --max_events_num 10
    系统返回如下类似结果。
    WARN: ./requirements.txt not found, skip installing requirements.
================================================
|  PAI Tensorflow powered by Aliyun PAI Team.  |
================================================
Network is under initialization...
Network successfully initialized.
[2021-04-16 12:27:56.368026] [INFO] [7#7] [tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
[2021-04-16 12:27:56.375586] [INFO] [7#7] [tensorflow/core/distributed_runtime/master.cc:80] ====================CPU Architecture=====================
[2021-04-16 12:27:56.375600] [INFO] [7#7] [tensorflow/core/distributed_runtime/master.cc:84] Disable AVX512.
[2021-04-16 12:27:56.375605] [INFO] [7#7] [tensorflow/core/distributed_runtime/master.cc:87] CPU Vendor ID: GenuineIntel

查看任务列表与状态

  • 功能

    获取训练任务的信息。如果不指定JobID，则会将所有的任务信息列出；如果指定了JobID,则只会展示对应的任务信息。

  • 格式
    dlc get job [JOB_ID] [--workspace_id <yourWorkspaceId>] [--display_name <yourJobName>] [--job_type <yourJobType>] [--status <yourJobStatus>] [--start_time <yourStartTime>] [--end_time <yourEndTime>] [--page_num <yourPageNum>] [--page_size <yourPageSize>] [--max_events_num <yourMaxNum>] [--events] [--events_only]
  • 参数
    参数 是否必选 描述 类型
    JOB_ID 否 待查看训练任务的ID。 STRING
    workspace_id <yourWorkspaceId> 否 工作空间ID。 STRING
    display_name <yourJobName> 否 任务名称，支持模糊查询，不支持通配符查询，大小写不敏感。 STRING
    job_type <yourJobType> 否 任务类型，支持查询所有任务类型。默认为空，代表所有类型。 STRING
    status <yourJobStatus> 否 任务状态。默认为空，代表任务所有状态。 STRING
    start_time <yourStartTime> 否 查询区间的起始时间，使用任务的创建时间来过滤。例如：start_time 2022-08-04T02:09:32Z。 STRING
    end_time <yourEndTime> 否 查询区间的截止时间，使用任务的创建时间来过滤。例如：end_time 2022-08-04T02:09:32Z。 STRING
    page_num <yourPageNum> 否 分页查询，指定当前查询需要返回的页码，编号从1开始，默认为1。 INT
    page_size <yourPageSize> 否 分页查询中，指定当前查询每页返回的数量，默认为10。 INT
    max_events_num <yourMaxNum> 否 返回的系统事件的最大行数，默认为2000。 INT
    events 否 是否查询任务的系统事件，仅查询单个任务时才会生效。默认为false。 BOOL
    events_only 否 是否只查询任务的系统事件，仅查询单个任务时才会生效。默认为false。 BOOL
  • 示例
    • 按照任务名称模糊匹配查询所有的训练任务。
      dlc get job --display_name epl
      系统返回如下类似结果。
      +--------------------+------------------+-------------+------------------+------------+----------------+---------+----------+-----------+------------------+----------------------+----------------------+----------------------+----------------------+-------------+------------+----------------------+-------------------+
|        Name        |      JobId       | WorkspaceId |  WorkspaceName   | ResourceId |  ResourceName  | JobType | Priority | JobStatus |      UserId      |      CreateTime      |    SubmittedTime     |     RunningTime      |    SuccessedTime     | StoppedTime | FailedTime |      FinishTime      | Duration(seconds) |
+--------------------+------------------+-------------+------------------+------------+----------------+---------+----------+-----------+------------------+----------------------+----------------------+----------------------+----------------------+-------------+------------+----------------------+-------------------+
| test_epl_test-**** | dlc02xipvt5z**** | 23****      | doc_test_**** |            | public-cluster | TFJob   | 1        | Succeeded | 144963168668**** | 2022-08-01T06:41:05Z | 2022-08-01T06:45:08Z | 2022-08-01T06:48:57Z | 2022-08-01T06:53:21Z |             |            | 2022-08-01T06:53:21Z | 736               |
| test_epl_****      | dlc1iyv3szl2**** | 23****      | doc_test_**** |            | public-cluster | TFJob   | 1        | Succeeded | 144963168668**** | 2022-08-01T03:23:51Z | 2022-08-01T03:27:22Z | 2022-08-01T03:27:50Z | 2022-08-01T03:33:48Z |             |            | 2022-08-01T03:33:48Z | 597               |
+--------------------+------------------+-------------+------------------+------------+----------------+---------+----------+-----------+------------------+----------------------+----------------------+----------------------+----------------------+-------------+------------+----------------------+-------------------+
    • 查询指定的训练任务。
      dlc get job dlc02xipvt5z****
      系统返回如下类似结果。
      {
   "ClusterId": "",
   "CodeSource": {
      "Branch": "main",
      "CodeSourceId": "code-29****c****c4****ae0c9ec75a5****",
      "MountPath": ""
   },
   "DataSources": [
      {
         "DataSourceId": "d-ya7gc2p2iqq240****",
         "MountPath": ""
      }
   ],
   "DisplayName": "test_epl_test-****",
   "Duration": 736,
   "ElasticSpec": {
      "AIMasterType": "",
      "EnableElasticTraining": false,
      "MaxParallelism": 0,
      "MinParallelism": 0
   },
   "EnabledDebugger": false,
   "GmtCreateTime": "2022-08-01T06:41:05Z",
   "GmtFinishTime": "2022-08-01T06:53:21Z",
   "GmtRunningTime": "2022-08-01T06:48:57Z",
   "GmtSubmittedTime": "2022-08-01T06:45:08Z",
   "GmtSuccessedTime": "2022-08-01T06:53:21Z",
   "JobId": "dlc02xipvt5z****",
   "JobSpecs": [
      {
         "AssignNodeSpec": {
            "EnableAssignNode": false,
            "NodeNames": ""
         },
         "EcsSpec": "ecs.gn6v-c8g1.2xlarge",
         "Image": "registry.cn-shanghai.aliyuncs.com/pai-dlc/tensorflow-training:1.15-gpu-py36-cu100-ubuntu1****",
         "PodCount": 2,
         "ResourceConfig": {
            "CPU": "",
            "GPU": "",
            "GPUType": "",
            "Memory": "",
            "SharedMemory": ""
         },
         "Type": "Worker",
         "UseSpotInstance": false
      }
   ],
   "JobType": "TFJob",
   "Pods": [
      {
         "GmtCreateTime": "2022-08-01T06:45:08Z",
         "GmtFinishTime": "2022-08-01T06:53:20Z",
         "GmtStartTime": "2022-08-01T06:52:06Z",
         "Ip": "10.224.xx.xx",
         "PodId": "dlc02xipvt5z****-worker-0",
         "PodUid": "",
         "Status": "Succeeded",
         "Type": "worker"
      },
      {
         "GmtCreateTime": "2022-08-01T06:45:08Z",
         "GmtFinishTime": "2022-08-01T06:53:20Z",
         "GmtStartTime": "2022-08-01T06:48:57Z",
         "Ip": "10.224.xx.xx",
         "PodId": "dlc02xipvt5z****-worker-1",
         "PodUid": "",
         "Status": "Succeeded",
         "Type": "worker"
      }
   ],
   "ReasonCode": "JobSucceeded",
   "ReasonMessage": "TFJob dlc02xipvt5z**** successfully completed.",
   "RequestId": "76FC3500-xxxx-533F-B24A-AC9B2A72****",
   "ResourceId": "",
   "Priority": 1,
   "ResourceLevel": "",
   "Settings": {
      "BusinessUserId": "",
      "Caller": "",
      "EnableErrorMonitoringInAIMaster": false,
      "EnableTideResource": false,
      "ErrorMonitoringArgs": "",
      "PipelineId": ""
   },
   "Status": "Succeeded",
   "ThirdpartyLibDir": "",
   "UserCommand": "cd /root/xxxx/xxxx/\npip install .\ncd examples/resnet\nbash scripts/xxxx_dp.sh",
   "UserId": "144963168668****",
   "WorkspaceId": "23****",
   "WorkspaceName": "doc_test_****"
}