mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-14 20:57:59 +00:00
84b91ce4a1
Pull Request resolved: https://github.com/pytorch/pytorch/pull/143436 Approved by: https://github.com/aorenste
29 lines
926 B
Python
29 lines
926 B
Python
from typing import Any
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import torch.library
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from torch import Tensor
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from torch.autograd import Function
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if not torch._running_with_deploy():
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_test_lib_def = torch.library.Library("_inductor_test", "DEF")
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_test_lib_def.define(
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"realize(Tensor self) -> Tensor", tags=torch.Tag.pt2_compliant_tag
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)
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_test_lib_impl = torch.library.Library("_inductor_test", "IMPL")
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for dispatch_key in ("CPU", "CUDA", "Meta"):
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_test_lib_impl.impl("realize", lambda x: x.clone(), dispatch_key)
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class Realize(Function):
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@staticmethod
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def forward(ctx: object, x: Tensor) -> Tensor:
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return torch.ops._inductor_test.realize(x)
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@staticmethod
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# types need to stay consistent with _SingleLevelFunction
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def backward(ctx: Any, *grad_output: Any) -> Any:
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return grad_output[0]
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def realize(x: Tensor) -> Tensor:
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return Realize.apply(x)
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