dense_to_jagged add Meta and Autograd backend #1477
Closed
Conversation
This file contains 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
✅ Deploy Preview for pytorch-fbgemm-docs canceled.
|
|
This pull request was exported from Phabricator. Differential Revision: D41498148 |
brad-mengchi
added a commit
to brad-mengchi/FBGEMM
that referenced
this pull request
Nov 24, 2022
Summary: Pull Request resolved: pytorch#1477 Add Meta and Autograd backend for dense_to_jagged Differential Revision: D41498148 fbshipit-source-id: 246c24f67aa71ba90c39b4462255324072a33e87
brad-mengchi
force-pushed
the
export-D41498148
branch
from
b7251e9
to
0d6ab09
Compare
|
This pull request was exported from Phabricator. Differential Revision: D41498148 |
brad-mengchi
added a commit
to brad-mengchi/FBGEMM
that referenced
this pull request
Nov 30, 2022
Summary: Pull Request resolved: pytorch#1477 Add Meta and Autograd backend for dense_to_jagged Differential Revision: D41498148 fbshipit-source-id: efa5fe3b1b4bf61389cba086639d5afaf7aeda12
brad-mengchi
force-pushed
the
export-D41498148
branch
from
0d6ab09
to
9a12071
Compare
|
This pull request was exported from Phabricator. Differential Revision: D41498148 |
brad-mengchi
force-pushed
the
export-D41498148
branch
from
9a12071
to
39c869d
Compare
brad-mengchi
added a commit
to brad-mengchi/FBGEMM
that referenced
this pull request
Dec 21, 2022
Summary: Pull Request resolved: pytorch#1477 Add Meta and Autograd backend for dense_to_jagged Differential Revision: D41498148 fbshipit-source-id: 6459e642431d20a7990e145b05047059e1c680e4
|
This pull request was exported from Phabricator. Differential Revision: D41498148 |
brad-mengchi
added a commit
to brad-mengchi/FBGEMM
that referenced
this pull request
Dec 21, 2022
Summary: Pull Request resolved: pytorch#1477 Add Meta and Autograd backend for dense_to_jagged Differential Revision: D41498148 fbshipit-source-id: cd92d03727b6406a9db597f3fa08d1554620363d
brad-mengchi
force-pushed
the
export-D41498148
branch
from
39c869d
to
f6e23ba
Compare
|
This pull request was exported from Phabricator. Differential Revision: D41498148 |
Summary: Pull Request resolved: pytorch#1477 Add Meta and Autograd backend for dense_to_jagged and jagged_dense_elementwise_add_jagged_output Note total_L is required since Meta/Fake tensor cannot calculate total_L through offsets. Reviewed By: jianyuh Differential Revision: D41498148 fbshipit-source-id: 7b6f4b4dcba0fed1b6233f865d5452fcad777360
|
This pull request was exported from Phabricator. Differential Revision: D41498148 |
brad-mengchi
force-pushed
the
export-D41498148
branch
from
f6e23ba
to
5dab7c2
Compare
|
This pull request has been merged in 64c831e. |
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 Meta and Autograd backend for dense_to_jagged
Differential Revision: D41498148