70 lines
2.7 KiB
Python
70 lines
2.7 KiB
Python
# 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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"""General utilities"""
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import operator
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import platform
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from distutils.version import LooseVersion
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from importlib.util import find_spec
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import torch
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from pkg_resources import DistributionNotFound, get_distribution
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def _module_available(module_path: str) -> bool:
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"""
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Check if a path is available in your environment
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>>> _module_available('os')
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True
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>>> _module_available('bla.bla')
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False
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"""
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try:
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return find_spec(module_path) is not None
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except AttributeError:
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# Python 3.6
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return False
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except ModuleNotFoundError:
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# Python 3.7+
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return False
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def _compare_version(package: str, op, version) -> bool:
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try:
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pkg_version = LooseVersion(get_distribution(package).version)
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return op(pkg_version, LooseVersion(version))
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except DistributionNotFound:
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return False
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_IS_WINDOWS = platform.system() == "Windows"
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_TORCH_LOWER_EQUAL_1_4 = _compare_version("torch", operator.le, "1.5.0")
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_TORCH_GREATER_EQUAL_1_6 = _compare_version("torch", operator.ge, "1.6.0")
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_TORCH_GREATER_EQUAL_1_7 = _compare_version("torch", operator.ge, "1.7.0")
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_TORCH_QUANTIZE_AVAILABLE = _module_available('torch.ops.quantized')
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_APEX_AVAILABLE = _module_available("apex.amp")
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_BOLTS_AVAILABLE = _module_available('pl_bolts')
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_FAIRSCALE_AVAILABLE = not _IS_WINDOWS and _module_available('fairscale.nn.data_parallel')
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_FAIRSCALE_PIPE_AVAILABLE = _TORCH_GREATER_EQUAL_1_6 and _compare_version("fairscale", operator.le, "0.1.3")
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_GROUP_AVAILABLE = not _IS_WINDOWS and _module_available('torch.distributed.group')
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_HOROVOD_AVAILABLE = _module_available("horovod.torch")
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_HYDRA_AVAILABLE = _module_available("hydra")
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_HYDRA_EXPERIMENTAL_AVAILABLE = _module_available("hydra.experimental")
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_NATIVE_AMP_AVAILABLE = _module_available("torch.cuda.amp") and hasattr(torch.cuda.amp, "autocast")
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_OMEGACONF_AVAILABLE = _module_available("omegaconf")
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_RPC_AVAILABLE = not _IS_WINDOWS and _module_available('torch.distributed.rpc')
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_TORCHTEXT_AVAILABLE = _module_available("torchtext")
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_TORCHVISION_AVAILABLE = _module_available('torchvision')
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_XLA_AVAILABLE = _module_available("torch_xla")
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