# working directory on DSW, please provie FULL path
searchSpaceFile: search_space.json
# the command on trial runner(or, DLC container), be aware of data_dir
trialCommand: python mnist.py --data_dir /root/data/{your_data_dir}
trialConcurrency: 1  # NOTE: please provide number <= 3 due to DLC system limit.
maxTrialNumber: 10
tuner:
  name: TPE
  classArgs:
    optimize_mode: maximize
# ref: https://help.aliyun.com/document_detail/203290.html?spm=a2c4g.11186623.6.727.6f9b5db6bzJh4x
trainingService:
  platform: dlc
  type: Worker
  image: registry-vpc.cn-beijing.aliyuncs.com/pai-dlc/pytorch-training:1.6.0-gpu-py37-cu101-ubuntu18.04
  jobType: PyTorchJob                             # choices: [TFJob, PyTorchJob]
  podCount: 1
  ecsSpec: ecs.c6.large
  region: cn-hangzhou
  nasDataSourceId: ${your_nas_data_source_id}
  accessKeyId: ${your_ak_id}
  accessKeySecret: ${your_ak_key}
  nasDataSourceId: ${your_nas_data_source_id}     # NAS datasource ID，e.g., datat56by9n1xt0a
  localStorageMountPoint: /home/admin/workspace/  # default NAS path on DSW, MUST provide full path.
  containerStorageMountPoint: /root/data/         # default NAS path on DLC container, change it according your setting
