authorName: default
experimentName: example_pytorch_cifar10
trialConcurrency: 1
maxExecDuration: 100h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: pai
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
  #choice: TPE, Random, Anneal, Evolution, BatchTuner
  #SMAC (SMAC should be installed through nnictl)
  builtinTunerName: TPE
  classArgs:
    #choice: maximize, minimize
    optimize_mode: maximize
trial:
  command: python3 main.py
  codeDir: .
  gpuNum: 1
  cpuNum: 1
  memoryMB: 8196
  #The docker image to run nni job on pai
  image: msranni/nni:latest
  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
  dataDir: hdfs://10.10.10.10:9000/username/nni
  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
  outputDir: hdfs://10.10.10.10:9000/username/nni
paiConfig:
  #The username to login pai
  userName: username
  #The password to login pai
  passWord: password
  #The host of restful server of pai
  host: 10.10.10.10
