ai-content-maker/.venv/Lib/site-packages/torch/torch_version.py

59 lines
2.4 KiB
Python

# mypy: ignore-errors
from typing import Any, Iterable
from .version import __version__ as internal_version
from ._vendor.packaging.version import Version, InvalidVersion
__all__ = ['TorchVersion']
class TorchVersion(str):
"""A string with magic powers to compare to both Version and iterables!
Prior to 1.10.0 torch.__version__ was stored as a str and so many did
comparisons against torch.__version__ as if it were a str. In order to not
break them we have TorchVersion which masquerades as a str while also
having the ability to compare against both packaging.version.Version as
well as tuples of values, eg. (1, 2, 1)
Examples:
Comparing a TorchVersion object to a Version object
TorchVersion('1.10.0a') > Version('1.10.0a')
Comparing a TorchVersion object to a Tuple object
TorchVersion('1.10.0a') > (1, 2) # 1.2
TorchVersion('1.10.0a') > (1, 2, 1) # 1.2.1
Comparing a TorchVersion object against a string
TorchVersion('1.10.0a') > '1.2'
TorchVersion('1.10.0a') > '1.2.1'
"""
# fully qualified type names here to appease mypy
def _convert_to_version(self, inp: Any) -> Any:
if isinstance(inp, Version):
return inp
elif isinstance(inp, str):
return Version(inp)
elif isinstance(inp, Iterable):
# Ideally this should work for most cases by attempting to group
# the version tuple, assuming the tuple looks (MAJOR, MINOR, ?PATCH)
# Examples:
# * (1) -> Version("1")
# * (1, 20) -> Version("1.20")
# * (1, 20, 1) -> Version("1.20.1")
return Version('.'.join(str(item) for item in inp))
else:
raise InvalidVersion(inp)
def _cmp_wrapper(self, cmp: Any, method: str) -> bool:
try:
return getattr(Version(self), method)(self._convert_to_version(cmp))
except BaseException as e:
if not isinstance(e, InvalidVersion):
raise
# Fall back to regular string comparison if dealing with an invalid
# version like 'parrot'
return getattr(super(), method)(cmp)
for cmp_method in ["__gt__", "__lt__", "__eq__", "__ge__", "__le__"]:
setattr(TorchVersion, cmp_method, lambda x, y, method=cmp_method: x._cmp_wrapper(y, method))
__version__ = TorchVersion(internal_version)