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improve write performance by ~10x #4277
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This pull request was exported from Phabricator. Differential Revision: D76073692 |
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Summary: X-link: facebookresearch/FBGEMM#1354 we used [] to get a pointer to ith entry in weights. This is very slow. In this diff, we use raw pointer access to get the ith pointer. This improve the write performance by 10x and bring write performance on the same scale as read performance. Reviewed By: q10 Differential Revision: D76073692
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steven1327
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Summary: X-link: facebookresearch/FBGEMM#1354 we used [] to get a pointer to ith entry in weights. This is very slow. In this diff, we use raw pointer access to get the ith pointer. This improve the write performance by 10x and bring write performance on the same scale as read performance. Reviewed By: q10 Differential Revision: D76073692
This pull request was exported from Phabricator. Differential Revision: D76073692 |
steven1327
pushed a commit
to steven1327/FBGEMM-1
that referenced
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Jun 6, 2025
Summary: Pull Request resolved: pytorch#4277 X-link: facebookresearch/FBGEMM#1354 we used [] to get a pointer to ith entry in weights. This is very slow. In this diff, we use raw pointer access to get the ith pointer. This improve the write performance by 10x and bring write performance on the same scale as read performance. Reviewed By: q10 Differential Revision: D76073692
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Summary: Pull Request resolved: pytorch#4277 X-link: facebookresearch/FBGEMM#1354 we used [] to get a pointer to ith entry in weights. This is very slow. In this diff, we use raw pointer access to get the ith pointer. This improve the write performance by 10x and bring write performance on the same scale as read performance. Reviewed By: q10 Differential Revision: D76073692
This pull request was exported from Phabricator. Differential Revision: D76073692 |
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This pull request has been merged in 7a913d5. |
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Summary: we used [] to get a pointer to ith entry in weights. This is very slow. In this diff, we use raw pointer access to get the ith pointer. This improve the write performance by 10x and bring write performance on the same scale as read performance.
Reviewed By: q10
Differential Revision: D76073692