Allocate a big output tensor and split in group_index_select_dim0_backward #1764
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This pull request was exported from Phabricator. Differential Revision: D45823864 |
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…kward (pytorch#1764) Summary: Pull Request resolved: pytorch#1764 Before this diff, `group_index_select_dim0` backward calls `at::zeros` `group_size` number of times which launches `group_size` elementwise kernels. Since `group_size` can be a large value (up to 55), this can be costly. This diff fixes the problem by allocating one big tensor and splitting it into smaller tensors. This will launch only one elementwise kernel per group. However, this can cause higher overhead on the host side. Reviewed By: jspark1105 Differential Revision: D45823864 fbshipit-source-id: 83832fede9085ff5829f06e7621dfee8621a3e06
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This pull request was exported from Phabricator. Differential Revision: D45823864 |
sryap
added a commit
to sryap/FBGEMM
that referenced
this pull request
Jun 20, 2023
…kward (pytorch#1764) Summary: Pull Request resolved: pytorch#1764 Before this diff, `group_index_select_dim0` backward calls `at::zeros` `group_size` number of times which launches `group_size` elementwise kernels. Since `group_size` can be a large value (up to 55), this can be costly. This diff fixes the problem by allocating one big tensor and splitting it into smaller tensors. This will launch only one elementwise kernel per group. However, this can cause higher overhead on the host side. Reviewed By: jspark1105 Differential Revision: D45823864 fbshipit-source-id: 92939fbd3801c599c475f45609c55dcc23cedbfc
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This pull request was exported from Phabricator. Differential Revision: D45823864 |
…kward (pytorch#1764) Summary: Pull Request resolved: pytorch#1764 Before this diff, `group_index_select_dim0` backward calls `at::zeros` `group_size` number of times which launches `group_size` elementwise kernels. Since `group_size` can be a large value (up to 55), this can be costly. This diff fixes the problem by allocating one big tensor and splitting it into smaller tensors. This will launch only one elementwise kernel per group. However, this can cause higher overhead on the host side. Reviewed By: jspark1105 Differential Revision: D45823864 fbshipit-source-id: c44dd60e4707ec25ba9d4d667cdc1a0ef17566ea
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This pull request was exported from Phabricator. Differential Revision: D45823864 |
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This pull request has been merged in 0185ac7. |
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Summary:
Before this diff,
group_index_select_dim0backward callsat::zerosgroup_sizenumber of times which launchesgroup_sizeelementwisekernels. Since
group_sizecan be a large value (up to 55), this canbe costly.
This diff fixes the problem by allocating one big tensor and splitting
it into smaller tensors. This will launch only one elementwise kernel
per group. However, this can cause higher overhead on the host side.
Differential Revision: D45823864