响应示例

• 成功响应示例

  {
      "is_success": true,
      "job_id": 10,
      "job_name": "testModelArtsJob",
      "job_desc": "testModelArtsJob desc",
      "version_count": 2,
      "versions": [
          {
              "version_id": 10,
              "version_name": "V0004",
              "pre_version_id": 5,
              "engine_type": 1,
              "engine_name": "TensorFlow",
              "engine_id": 1,
              "engine_version": "TF-1.4.0-python2.7",
              "status": 10,
              "app_url": "/usr/app/",
              "boot_file_url": "/usr/app/boot.py",
              "create_time": 1524189990635,
              "parameter": [
                  {
                      "label": "learning_rate",
                      "value": 0.01
                  }
              ],
              "duration": 532003,
              "spec_id": 1,
              "core": 2,
              "cpu": 8,
              "gpu": true,
              "gpu_num": 2,
              "gpu_type": "Pnt1",
              "worker_server_num": 1,
              "data_url": "/usr/data/",
              "train_url": "/usr/train/",
              "log_url": "/usr/log/",
              "dataset_version_id": "2ff0d6ba-c480-45ae-be41-09a8369bfc90",
              "dataset_id": "38277e62-9e59-48f4-8d89-c8cf41622c24",
              "data_source": [
                  {
                      "type": "obs",
                      "data_url": "/qianjiajun-test/minst/data/"
                  }
              ],
              "user_image_url": "100.125.5.235:20202/jobmng/custom-cpu-base:1.0",
              "user_command": "bash -x /home/work/run_train.sh python /home/work/user-job-dir/app/mnist/mnist_softmax.py --data_url /home/work/user-job-dir/app/mnist_data",
              "model_id": 1,
              "model_metric_list": "{\"metric\":[{\"metric_values\":{\"recall\":0.005833,\"precision\":0.000178,\"accuracy\":0.000937},\"reserved_data\":{},\"metric_meta\":{\"class_name\":0,\"class_id\":0}}],\"total_metric\":{\"total_metric_meta\":{},\"total_reserved_data\":{},\"total_metric_values\":{\"recall\":0.005833,\"id\":0,\"precision\":0.000178,\"accuracy\":0.000937}}}",
              "system_metric_list": "{\"cpuUsage\":[\"0\",\"3.10\",\"5.76\",\"0\",\"0\",\"0\",\"0\"],\"memUsage\":[\"0\",\"0.77\",\"2.09\",\"0\",\"0\",\"0\",\"0\"],\"gpuUtil\":[\"0\",\"0.25\",\"0.88\",\"0\",\"0\",\"0\",\"0\"],\"gpuMemUsage\":[\"0\",\"0.65\",\"6.01\",\"0\",\"0\",\"0\",\"0\"],\"diskReadRate\":[\"0\",\"91811.07\",\"38846.63\",\"0\",\"0\",\"0\",\"0\"],\"diskWriteRate\":[\"0\",\"2.23\",\"0.94\",\"0\",\"0\",\"0\",\"0\"],\"recvBytesRate\":[\"0\",\"5770405.50\",\"2980077.75\",\"0\",\"0\",\"0\",\"0\"],\"sendBytesRate\":[\"0\",\"12607.17\",\"10487410.00\",\"0\",\"0\",\"0\",\"0\"],\"interval\":1}",
              "dataset_name": "dataset-test",
              "dataset_version_name": "dataset-version-test",
  
              "start_time": 1563172362000,
              "volumes": [
                  {
                      "nfs": {
                          "id": "43b37236-9afa-4855-8174-32254b9562e7",
                          "src_path": "192.168.8.150:/",
                          "dest_path": "/home/work/nas",
                          "read_only": false
                      }
                  },
                  {
                      "host_path": {
                          "src_path": "/root/work",
                          "dest_path": "/home/mind",
                          "read_only": false
                      }
                  }
              ],
              "pool_id": "pool9928813f",
              "pool_name": "pnt1",
              "nas_mount_path": "/home/work/nas",
              "nas_share_addr": "192.168.8.150:/",
              "nas_type": "nfs"
          }
      ]
  }

• 失败响应示例

  {
      "is_success": false,
      "error_message": "Error string",
      "error_code": "ModelArts.0105"
  }