Add support for int64_t indices in TBE inference [2/N] #3125
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 ready!
To edit notification comments on pull requests, go to your Netlify site configuration. |
|
This pull request was exported from Phabricator. Differential Revision: D62271409 |
|
This pull request was exported from Phabricator. Differential Revision: D62271409 |
q10
added a commit
to q10/FBGEMM
that referenced
this pull request
Sep 26, 2024
Summary: X-link: facebookresearch/FBGEMM#214 Pull Request resolved: pytorch#3125 - Add support for int64_t indices in TBE inference [2/N] - Convert `pruned_array_lookup_cuda` to use index_t Reviewed By: jianyuh Differential Revision: D62271409
q10
force-pushed
the
export-D62271409
branch
from
1400dd5
to
6c19917
Compare
|
This pull request was exported from Phabricator. Differential Revision: D62271409 |
q10
added a commit
to q10/FBGEMM
that referenced
this pull request
Sep 26, 2024
Summary: X-link: facebookresearch/FBGEMM#214 Pull Request resolved: pytorch#3125 - Add support for int64_t indices in TBE inference [2/N] - Convert `pruned_array_lookup_cuda` to use index_t Reviewed By: jianyuh Differential Revision: D62271409
q10
force-pushed
the
export-D62271409
branch
from
6c19917
to
0466806
Compare
Summary: - Add support for int64_t indices in TBE inference [1/N] Differential Revision: D61813383
|
This pull request was exported from Phabricator. Differential Revision: D62271409 |
q10
added a commit
to q10/FBGEMM
that referenced
this pull request
Sep 30, 2024
Summary: X-link: facebookresearch/FBGEMM#214 Pull Request resolved: pytorch#3125 - Add support for int64_t indices in TBE inference [2/N] - Convert `pruned_array_lookup_cuda` to use index_t Reviewed By: jianyuh Differential Revision: D62271409
q10
force-pushed
the
export-D62271409
branch
from
0466806
to
b05c13d
Compare
|
This pull request was exported from Phabricator. Differential Revision: D62271409 |
q10
added a commit
to q10/FBGEMM
that referenced
this pull request
Sep 30, 2024
Summary: X-link: facebookresearch/FBGEMM#214 Pull Request resolved: pytorch#3125 - Add support for int64_t indices in TBE inference [2/N] - Convert `pruned_array_lookup_cuda` to use index_t Reviewed By: jianyuh Differential Revision: D62271409
q10
force-pushed
the
export-D62271409
branch
from
b05c13d
to
361a3cb
Compare
Summary: X-link: facebookresearch/FBGEMM#214 Pull Request resolved: pytorch#3125 - Add support for int64_t indices in TBE inference [2/N] - Convert `pruned_array_lookup_cuda` to use index_t Reviewed By: jianyuh Differential Revision: D62271409
|
This pull request was exported from Phabricator. Differential Revision: D62271409 |
q10
force-pushed
the
export-D62271409
branch
from
361a3cb
to
35094f6
Compare
|
This pull request has been merged in a5628cb. |
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 support for int64_t indices in TBE inference [2/N]
Convert
pruned_array_lookup_cudato use index_tDifferential Revision: D62271409