ModelScope/tests/run_config.yaml

# envs option allows fine-grained control for test executoin, for example,
# python tests/run.py --env pytorch
# would only trigger exeutions of all pytorch cases.
# envs option defaults to None for backward compatbility
isolated:  # test cases that may require excessive anmount of GPU memory, which will be executed in dedicagted process.
  - test_text_to_speech.py
  - test_multi_modal_embedding.py
  - test_ofa_tasks.py
  - test_video_summarization.py
  - test_dialog_modeling.py
  - test_csanmt_translation.py

envs:
  default: # default env, case not in other env will in default, pytorch.
    dependencies: # requirement packages，pip install before test case run.
      - numpy>=1.20
  tensorflow1x: #  cases excuted  tensorflow1.x framework.
    requirements: # requirements files run before test case run.
      - tensorflow1x.txt
    dependencies: # requirement packages，pip install before test case run.
      - numpy==1.18.5
    tests:
      - test_text_to_speech.py
      - test_csanmt_translation.py
      - test_translation_trainer.py
      - test_ocr_detection.py
      - test_automatic_speech_recognition.py
      - test_image_matting.py
      - test_person_image_cartoon.py
      - test_skin_retouching.py
      - test_image_style_transfer.py