Make `torch.lu` differentiable for wide/tall inputs + jit (#61564)
authorNikita Vedeneev <nik@quansight.com>
Mon, 16 Aug 2021 18:39:04 +0000 (11:39 -0700)
committerFacebook GitHub Bot <facebook-github-bot@users.noreply.github.com>
Mon, 16 Aug 2021 18:40:57 +0000 (11:40 -0700)
commitdbcfd7739f30fc842b692ab0bf0ce348fee2bde1
tree9d64f8e215b8e811b350f764adbb92314d99cb87
parent979180cd0118f9379680df9e39fc6acb80d7b80a
Make `torch.lu` differentiable for wide/tall inputs + jit (#61564)

Summary:
As per title.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/61564

Reviewed By: astaff

Differential Revision: D30338136

Pulled By: mruberry

fbshipit-source-id: f01436fc90980544cdfa270feee16bb3dda21b93
12 files changed:
aten/src/ATen/native/native_functions.yaml
test/backward_compatibility/check_backward_compatibility.py
test/test_fx.py
test/test_namedtuple_return_api.py
tools/autograd/derivatives.yaml
tools/autograd/gen_variable_type.py
torch/_autograd_functions.py [deleted file]
torch/_tensor.py
torch/csrc/autograd/FunctionsManual.cpp
torch/csrc/autograd/FunctionsManual.h
torch/functional.py
torch/testing/_internal/common_methods_invocations.py