| 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) | |