| import os | |
| from cupy.testing._pytest_impl import is_available, check_available | |
| if is_available(): | |
| import pytest | |
| _gpu_limit = int(os.getenv('CUPY_TEST_GPU_LIMIT', '-1')) | |
| def slow(*args, **kwargs): | |
| return pytest.mark.slow(*args, **kwargs) | |
| else: | |
| def _dummy_callable(*args, **kwargs): | |
| check_available('pytest attributes') | |
| assert False # Not reachable | |
| slow = _dummy_callable | |
| def multi_gpu(gpu_num): | |
| """Decorator to indicate number of GPUs required to run the test. | |
| Tests can be annotated with this decorator (e.g., ``@multi_gpu(2)``) to | |
| declare number of GPUs required to run. When running tests, if | |
| ``CUPY_TEST_GPU_LIMIT`` environment variable is set to value greater | |
| than or equals to 0, test cases that require GPUs more than the limit will | |
| be skipped. | |
| """ | |
| check_available('multi_gpu attribute') | |
| # at this point we know pytest is available for sure | |
| assert 1 < gpu_num | |
| def _wrapper(f): | |
| return pytest.mark.skipif( | |
| 0 <= _gpu_limit < gpu_num, | |
| reason='{} GPUs required'.format(gpu_num))( | |
| pytest.mark.multi_gpu(f)) | |
| return _wrapper | |