integration_tests.yml

defaultTestCaseConfig:
  launchCommand: nnictl create --config $configFile --debug
  stopCommand: nnictl stop
  experimentStatusCheck: True
  platform: linux darwin win32
  trainingService: all

testCases:
#######################################################################
# nni examples test
#######################################################################
- name: sklearn-classification
  # test case config yml file relative to nni source code directory
  configFile: test/training_service/config/examples/sklearn-classification.yml

  # test case specific config, the content of configFile will be overrided
  # by config section
  config:

  # validator is called after experiment is done
  # validator class needs to be implemented in training_service/nnitest/validators.py
  validator:

  # launch command, default launch command is 'nnictl create --config $configFile'
  launchCommand: nnictl create --config $configFile --debug

  # stop command, default stop command is 'nnictl stop', empty means no stop command
  stopCommand: nnictl stop

  # set experiment ID into variable, variable name should start with $, such as $expId
  setExperimentIdtoVar: $expId

  # check status of experiment before calling validator
  experimentStatusCheck: True

- name: shared-storage-remote-azureblob
  configFile: test/training_service/config/sharedstorage_test/config_sharedstorage_remote_azureblob.yml
  config:
    sharedStorage:
      localMountPoint: /tmp/nnimount/testlocalrootpath
      remoteMountPoint: /tmp/nnimount/testremoterootpath
      storageAccountName: nennistorage
      storageAccountKey: $(azureblob_token_test)
      containerName: sharedstorage
  trainingService: remote
  validator:
    class: FileExistValidator
    kwargs:
      rootpath: /tmp/nnimount/testlocalrootpath

- name: sklearn-regression
  configFile: test/training_service/config/examples/sklearn-regression.yml

# mount point in local may late to umount when stop experiment in shared-storage-remote-azureblob,
# so keep two shared storage tests away from each other.
- name: shared-storage-remote-nfs
  configFile: test/training_service/config/sharedstorage_test/config_sharedstorage_remote_nfs.yml
  trainingService: remote
  validator:
    class: FileExistValidator
    kwargs:
      rootpath: /tmp/nnimount/testlocalrootpath

- name: mnist-tensorflow
  configFile: test/training_service/config/examples/mnist-tfv2.yml
  config:
    maxExecDuration: 10m # This example will use longger time in remote mode, set max_duration to 10m to avoid timeout error.
    maxTrialNum: 1
    trialConcurrency: 1
  trainingService: local remote # FIXME: timeout on pai, looks like tensorflow failed to link CUDA

- name: mnist-pytorch-local
  configFile: test/training_service/config/examples/mnist-pytorch.yml
  # download data first, to prevent concurrent issue.
  launchCommand: python3 ../examples/trials/mnist-pytorch/mnist.py --epochs 1 --batch_num 0 --data_dir ../examples/trials/mnist-pytorch/data && nnictl create --config $configFile --debug
  trainingService: local

- name: mnist-pytorch-local-gpu
  configFile: test/training_service/config/examples/mnist-pytorch-gpu.yml
  # download data first, to prevent concurrent issue.
  launchCommand: python3 ../examples/trials/mnist-pytorch/mnist.py --epochs 1 --batch_num 0 --data_dir ../examples/trials/mnist-pytorch/data && nnictl create --config $configFile --debug
  trainingService: local

- name: mnist-pytorch-non-local
  configFile: test/training_service/config/examples/mnist-pytorch.yml
  # download data first, to prevent concurrent issue.
  launchCommand: nnictl create --config $configFile --debug
  trainingService: remote pai kubeflow frameworkcontroller dlts

# TODO: move this and following commented test cases to pytorch or tf2
#- name: mnist-annotation
#  configFile: test/training_service/config/examples/mnist-annotation.yml
#  config:
#    maxTrialNum: 1
#    trialConcurrency: 1

- name: cifar10-pytorch
  configFile: test/training_service/config/examples/cifar10-pytorch.yml
  config:
    # this example downloads large pretrained model weights
    # test 1 trial to save time
    maxExecDuration: 10m
    maxTrialNum: 1
    trialConcurrency: 1
    trial:
      command: python3 main.py --epochs 1 --batches 1
      gpuNum: 0

- name: cifar10-pytorch-adl
  configFile: test/training_service/config/examples/cifar10-pytorch-adl.yml
  trainingService: adl

#- name: nested-ss
#  configFile: test/training_service/config/examples/mnist-nested-search-space.yml

- name: classic-nas-gen-ss
  configFile: test/training_service/config/examples/classic-nas-pytorch.yml
  launchCommand: nnictl ss_gen --trial_command="python3 mnist.py --epochs 1" --trial_dir=../examples/nas/legacy/classic_nas --file=training_service/config/examples/nni-nas-search-space.json
  stopCommand:
  experimentStatusCheck: False
  trainingService: local

- name: classic-nas-pytorch
  configFile: test/training_service/config/examples/classic-nas-pytorch.yml
  # remove search space file
  stopCommand: nnictl stop
  onExitCommand: python3 -c "import os; os.remove('training_service/config/examples/nni-nas-search-space.json')"
  trainingService: local

#########################################################################
# nni features test
#########################################################################
- name: metrics-float
  configFile: test/training_service/config/metrics_test/config.yml
  config:
    maxTrialNum: 1
    trialConcurrency: 1
  validator:
    class: MetricsValidator
    kwargs:
      expected_result_file: expected_metrics.json

- name: export-float
  configFile: test/training_service/config/metrics_test/config.yml
  config:
    maxTrialNum: 1
    trialConcurrency: 1
  validator:
    class: ExportValidator 

- name: metrics-dict
  configFile: test/training_service/config/metrics_test/config_dict_metrics.yml
  config:
    maxTrialNum: 1
    trialConcurrency: 1
  validator:
    class: MetricsValidator
    kwargs:
      expected_result_file: expected_metrics_dict.json

- name: export-dict
  configFile: test/training_service/config/metrics_test/config_dict_metrics.yml
  config:
    maxTrialNum: 1
    trialConcurrency: 1
  validator:
    class: ExportValidator 

- name: experiment-import
  configFile: test/training_service/config/nnictl_experiment/sklearn-classification.yml
  validator:
    class: ImportValidator
    kwargs:
      import_data_file_path: training_service/config/nnictl_experiment/test_import.json

- name: foreground
  configFile: test/training_service/config/examples/sklearn-regression.yml
  launchCommand: python3 training_service/nnitest/foreground.py --config $configFile --timeout 45
  stopCommand:
  experimentStatusCheck: False
  platform: linux darwin

# Experiment resume test part 1
- name: nnictl-resume-1
  configFile: test/training_service/config/examples/sklearn-regression.yml
  setExperimentIdtoVar: $resumeExpId
  # for subfolder in codedir test
  launchCommand: python3 -c "import os; os.makedirs('../examples/trials/sklearn/regression/subfolder', exist_ok=True); open('../examples/trials/sklearn/regression/subfolder/subfile', 'a').close()" && nnictl create --config $configFile --debug

# Experiment resume test part 2
- name: nnictl-resume-2
  configFile: test/training_service/config/examples/sklearn-regression.yml
  launchCommand: nnictl resume $resumeExpId

# Experiment view test
- name: nnictl-view
  configFile: test/training_service/config/examples/sklearn-regression.yml
  launchCommand: nnictl view $resumeExpId
  experimentStatusCheck: False


#########################################################################
# nni assessor test
#########################################################################
- name: assessor-curvefitting
  configFile: test/training_service/config/assessors/curvefitting.yml

- name: assessor-medianstop
  configFile: test/training_service/config/assessors/medianstop.yml

#########################################################################
# nni tuners test
#########################################################################
#- name: tuner-annel
#  configFile: test/training_service/config/tuners/anneal.yml

#- name: tuner-evolution
#  configFile: test/training_service/config/tuners/evolution.yml

#- name: tuner-random
#  configFile: test/training_service/config/tuners/random.yml

#- name: tuner-smac
#  configFile: test/training_service/config/tuners/smac.yml
#  platform: linux darwin

#- name: tuner-tpe
#  configFile: test/training_service/config/tuners/tpe.yml

#- name: tuner-batch
#  configFile: test/training_service/config/tuners/batch.yml

#- name: tuner-bohb
#  configFile: test/training_service/config/tuners/bohb.yml
#  platform: linux darwin

#- name: tuner-gp
#  configFile: test/training_service/config/tuners/gp.yml

#- name: tuner-grid
#  configFile: test/training_service/config/tuners/gridsearch.yml

#- name: tuner-hyperband
#  configFile: test/training_service/config/tuners/hyperband.yml

#- name: tuner-metis
#  configFile: test/training_service/config/tuners/metis.yml

- name: tuner-regularized_evolution
  configFile: test/training_service/config/tuners/regularized_evolution_tuner.yml

#########################################################################
# nni customized-tuners test
#########################################################################
- name: customized-tuners-demotuner
  configFile: test/training_service/config/customized_tuners/demotuner-sklearn-classification.yml