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