Fix autograd engine checks and update InputMetadata (#65235)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65235
1. Updated the legacy type checks in `torch/csrc/autograd/engine.cpp` to individually validate the dtype, device, and layout equality for grad and tensor.
2. Removed device field from `InputMetadata` since it's already stored via storing options. Also, added `dtype()` and `layout()` methods to `InputMetadata`. To make this change, some calls had to be updated due to the change in constructor.
3. To fix https://github.com/pytorch/pytorch/issues/65016:
a. Added a `is_tensor_subclass` field in `InputMetadata` to skip device checks for grad and tensor when the tensor has
python key set on it (tensor subclass).
Test Plan: Imported from OSS
Reviewed By: pbelevich
Differential Revision: D31082693
Pulled By: anjali411
fbshipit-source-id: cb551cd438c6ca40b0f18a4d0009e0861cf0fd4e
