lightning/tests/tests_lite/helpers/runif.py

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