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1a4268b811
This PR is part of the work to deprecate torch::deploy in OSS. Effectively it does 3 things to get started. 1. Remove test_deploy_interaction as we no longer need to worry about this 2. Remove all torch._running_with_deploy checks and use the False path always (surfaced 1) 3. Remove `USE_DEPLOY` and switch to the default path always Note: MyPy does fail on a bunch of things here as a bunch of older files are touched. It may be better to fix these things on a separate PR Pull Request resolved: https://github.com/pytorch/pytorch/pull/158288 Approved by: https://github.com/albanD
29 lines
824 B
Python
29 lines
824 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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_test_lib_def = torch.library.Library("_inductor_test", "DEF")
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_test_lib_def.define("realize(Tensor self) -> Tensor", tags=torch.Tag.pt2_compliant_tag)
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_test_lib_impl = torch.library.Library("_inductor_test", "IMPL")
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for dispatch_key in ("CPU", "CUDA", "MPS", "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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