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f3fce597e9
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129769 Approved by: https://github.com/ezyang
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
# mypy: allow-untyped-defs
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from functools import lru_cache as _lru_cache
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from typing import Optional, TYPE_CHECKING
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import torch
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from torch.library import Library as _Library
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__all__ = ["is_built", "is_available", "is_macos13_or_newer", "is_macos_or_newer"]
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def is_built() -> bool:
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r"""Return whether PyTorch is built with MPS support.
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Note that this doesn't necessarily mean MPS is available; just that
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if this PyTorch binary were run a machine with working MPS drivers
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and devices, we would be able to use it.
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"""
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return torch._C._has_mps
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@_lru_cache
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def is_available() -> bool:
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r"""Return a bool indicating if MPS is currently available."""
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return torch._C._mps_is_available()
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@_lru_cache
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def is_macos_or_newer(major: int, minor: int) -> bool:
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r"""Return a bool indicating whether MPS is running on given MacOS or newer."""
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return torch._C._mps_is_on_macos_or_newer(major, minor)
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@_lru_cache
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def is_macos13_or_newer(minor: int = 0) -> bool:
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r"""Return a bool indicating whether MPS is running on MacOS 13 or newer."""
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return torch._C._mps_is_on_macos_or_newer(13, minor)
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_lib: Optional[_Library] = None
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def _init():
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r"""Register prims as implementation of var_mean and group_norm."""
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global _lib
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if _lib is not None or not is_built():
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return
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from torch._decomp.decompositions import native_group_norm_backward
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from torch._refs import native_group_norm
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_lib = _Library("aten", "IMPL") # noqa: TOR901
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_lib.impl("native_group_norm", native_group_norm, "MPS")
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_lib.impl("native_group_norm_backward", native_group_norm_backward, "MPS")
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