Add autograd for layer_norm on CPU #20883
Closed
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
pytorchbot
added
module: cpu
xiaomengy
force-pushed
the
export-D15483790
branch
from
2b2e346 to
a18e05c
Compare
xiaomengy
force-pushed
the
export-D15483790
branch
from
a18e05c to
aaf26ac
Compare
xiaomengy
force-pushed
the
export-D15483790
branch
from
aaf26ac to
73b4b55
Compare
xiaomengy
force-pushed
the
export-D15483790
branch
from
73b4b55 to
1380541
Compare
xiaomengy
force-pushed
the
export-D15483790
branch
from
1380541 to
3524cb2
Compare
Summary: Pull Request resolved: pytorch#20883 Add autograd for layer_norm on CPU, after this diff, both PyTorch and jit model can automatically benefit from performance improvement of nn.functional.layer_norm Reviewed By: zheng-xq Differential Revision: D15483790 fbshipit-source-id: 6333e050caef479085400c29af270bb8e23e80bc
xiaomengy
force-pushed
the
export-D15483790
branch
from
3524cb2 to
b1ce4f1
Compare
|
This pull request has been merged in eaa3ba6. |
zdevito
pushed a commit
to zdevito/ATen
that referenced
this pull request
Jun 3, 2019
Summary: Pull Request resolved: pytorch/pytorch#20883 Add autograd for layer_norm on CPU, after this diff, both PyTorch and jit model can automatically benefit from performance improvement of nn.functional.layer_norm Reviewed By: zheng-xq Differential Revision: D15483790 fbshipit-source-id: 94ed3b16ab6d83ca6c254dbcfb224ff7d88837f3
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary: Add autograd for layer_norm on CPU, after this diff, both PyTorch and jit model can automatically benefit from performance improvement of nn.functional.layer_norm
Differential Revision: D15483790