Summary:
Torch Native Runtime RFC: https://github.com/pytorch/rfcs/pull/72
As part of the effort to open source TorchNativeRuntime (or what we call Sigmoid), we are moving the Pytree implementation to torch/:
fbcode/sigmoid/kernels -> fbcode/caffe2/torch/nativert/kernels
Copied from original auto_functionalize Diff Summary D53776805:
This is a non-functional kernel implementation for auto_functionalize
In AutoFunctionalizeKernel, I directly call the underlying target without making a clone of mutating inputs.
This would mutates the input tensors inplace, which is unsafe in general.
However, Sigmoid is not doing any graph optimization, or node reordering at the moment, so it's ok do take this short cut.
In the proper functional implementation, it will
make a clone of the mutating input tensor
return these new instance of tensors as AutoFunctionalizeKernel output.
If the original exported program has some "bufferMutation" or "userInputMutation" fields, it will also need to honor such mutations in Sigmoid.
Test Plan: See internal for test plan
Differential Revision: D76926383
Pull Request resolved: https://github.com/pytorch/pytorch/pull/156454
Approved by: https://github.com/zhxchen17
