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# Copyright 2022 The HuggingFace Team. All rights reserved. | |
# | |
# 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 importlib.metadata | |
from typing import Union | |
from packaging.version import Version, parse | |
from .constants import STR_OPERATION_TO_FUNC | |
torch_version = parse(importlib.metadata.version("torch")) | |
def compare_versions(library_or_version: Union[str, Version], operation: str, requirement_version: str): | |
""" | |
Compares a library version to some requirement using a given operation. | |
Args: | |
library_or_version (`str` or `packaging.version.Version`): | |
A library name or a version to check. | |
operation (`str`): | |
A string representation of an operator, such as `">"` or `"<="`. | |
requirement_version (`str`): | |
The version to compare the library version against | |
""" | |
if operation not in STR_OPERATION_TO_FUNC.keys(): | |
raise ValueError(f"`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys())}, received {operation}") | |
operation = STR_OPERATION_TO_FUNC[operation] | |
if isinstance(library_or_version, str): | |
library_or_version = parse(importlib.metadata.version(library_or_version)) | |
return operation(library_or_version, parse(requirement_version)) | |
def is_torch_version(operation: str, version: str): | |
""" | |
Compares the current PyTorch version to a given reference with an operation. | |
Args: | |
operation (`str`): | |
A string representation of an operator, such as `">"` or `"<="` | |
version (`str`): | |
A string version of PyTorch | |
""" | |
return compare_versions(torch_version, operation, version) | |