2022-09-01 22:13:12 +00:00
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# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import sys
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from typing import Optional
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2022-09-01 22:13:12 +00:00
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import pytest
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import torch
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from packaging.version import Version
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from pkg_resources import get_distribution
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# TODO(lite): Add all RunIf conditions once the relevant utilities have moved to lite source dir
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class RunIf:
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"""RunIf wrapper for simple marking specific cases, fully compatible with pytest.mark::
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@RunIf(min_torch="0.0")
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@pytest.mark.parametrize("arg1", [1, 2.0])
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def test_wrapper(arg1):
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assert arg1 > 0.0
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"""
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def __new__(
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self,
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*args,
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min_cuda_gpus: int = 0,
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min_torch: Optional[str] = None,
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max_torch: Optional[str] = None,
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min_python: Optional[str] = None,
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skip_windows: bool = False,
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standalone: bool = False,
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**kwargs,
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):
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"""
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Args:
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*args: Any :class:`pytest.mark.skipif` arguments.
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min_cuda_gpus: Require this number of gpus and that the ``PL_RUN_CUDA_TESTS=1`` environment variable is set.
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min_torch: Require that PyTorch is greater or equal than this version.
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max_torch: Require that PyTorch is less than this version.
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min_python: Require that Python is greater or equal than this version.
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skip_windows: Skip for Windows platform.
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standalone: Mark the test as standalone, our CI will run it in a separate process.
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This requires that the ``PL_RUN_STANDALONE_TESTS=1`` environment variable is set.
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**kwargs: Any :class:`pytest.mark.skipif` keyword arguments.
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"""
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conditions = []
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reasons = []
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if min_cuda_gpus:
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conditions.append(torch.cuda.device_count() < min_cuda_gpus)
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reasons.append(f"GPUs>={min_cuda_gpus}")
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# used in conftest.py::pytest_collection_modifyitems
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kwargs["min_cuda_gpus"] = True
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if min_torch:
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torch_version = get_distribution("torch").version
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conditions.append(Version(torch_version) < Version(min_torch))
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reasons.append(f"torch>={min_torch}")
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if max_torch:
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torch_version = get_distribution("torch").version
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conditions.append(Version(torch_version) >= Version(max_torch))
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reasons.append(f"torch<{max_torch}")
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if min_python:
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py_version = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
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conditions.append(Version(py_version) < Version(min_python))
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reasons.append(f"python>={min_python}")
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if skip_windows:
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conditions.append(sys.platform == "win32")
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reasons.append("unimplemented on Windows")
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if standalone:
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env_flag = os.getenv("PL_RUN_STANDALONE_TESTS", "0")
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conditions.append(env_flag != "1")
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reasons.append("Standalone execution")
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# used in conftest.py::pytest_collection_modifyitems
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kwargs["standalone"] = True
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reasons = [rs for cond, rs in zip(conditions, reasons) if cond]
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return pytest.mark.skipif(
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*args, condition=any(conditions), reason=f"Requires: [{' + '.join(reasons)}]", **kwargs
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)
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@RunIf(min_torch="99")
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def test_always_skip():
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exit(1)
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@pytest.mark.parametrize("arg1", [0.5, 1.0, 2.0])
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@RunIf(min_torch="0.0")
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def test_wrapper(arg1: float):
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assert arg1 > 0.0
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