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@jackiexu1992 jackiexu1992 commented Sep 14, 2023

Summary: Log graph with Everpaste for debug and find more patterns to fuse

Test Plan: to add logs

Differential Revision: D49284640

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @ngimel @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov

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pytorch-bot bot commented Sep 14, 2023

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/109314

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This pull request was exported from Phabricator. Differential Revision: D49284640

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This PR needs a release notes: label

If your changes are user facing and intended to be a part of release notes, please use a label starting with release notes:.

If not, please add the topic: not user facing label.

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jackiexu1992 added a commit to jackiexu1992/pytorch that referenced this pull request Sep 14, 2023
…9314)

Summary:

Log graph with Everpaste for debug and find more patterns to fuse

Test Plan: to add logs

Reviewed By: yanboliang

Differential Revision: D49284640
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This pull request was exported from Phabricator. Differential Revision: D49284640

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This pull request was exported from Phabricator. Differential Revision: D49284640

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This pull request was exported from Phabricator. Differential Revision: D49284640

…9314)

Summary:

Log graph with Everpaste for debug and find more patterns to fuse

Test Plan:
```
[2023-09-14 22:26:53,449] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] Apply fusion BatchLinearFusion. Print graph: https://www.internalfb.com/intern/everpaste/?color=0&handle=GCfrCBNt9SP9x4MDAHouROPiHlkxbr0LAAAz
[2023-09-14 22:26:54,817] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] Apply fusion BatchLinearLHSFusion. Print graph: https://www.internalfb.com/intern/everpaste/?color=0&handle=GP8UmhbRVpKo6DECAGZjVkwwnj0pbr0LAAAz
[2023-09-14 22:26:54,897] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] BatchLayernormFusion: key = ('batch_layernorm', 'torch.Size([2048, 96])', 'torch.Size([96])', 'torch.Size([96])', '(96,)', '1e-05'); subset size = 60
[2023-09-14 22:26:54,982] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] BatchLayernormFusion: key = ('batch_layernorm', 'torch.Size([2048, 48])', 'torch.Size([48])', 'torch.Size([48])', '(48,)', '1e-05'); subset size = 10
[2023-09-14 22:26:56,271] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] Apply fusion BatchLayernormFusion. Print graph: https://www.internalfb.com/intern/everpaste/?color=0&handle=GGFLmBbZbscX2uoCAPOeQh04RQwrbr0LAAAz
[2023-09-14 22:26:57,969] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] Apply fusion BatchTanhFusion. Print graph: https://www.internalfb.com/intern/everpaste/?color=0&handle=GEiljRbUagk50vkAAESJWARlM1Unbr0LAAAz
[2023-09-14 22:26:58,194] [3/0] torch._inductor.fx_passes.split_cat: [WARNING] example value absent for node: cat_45
[2023-09-14 22:27:35,905] [3/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor compiling FORWARDS graph 0
[2023-09-14 22:27:41,707] [3/0] torch._inductor.fx_passes.group_batch_fusion: [INFO] Before group_batch fusion in post grads pass. Print graph: https://www.internalfb.com/intern/everpaste/?color=0&handle=GMa2RRYT4H7Vt78AAP4Th57LhxMZbr0LAAAz
```

Reviewed By: yanboliang

Differential Revision: D49284640
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This pull request was exported from Phabricator. Differential Revision: D49284640

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@pytorchbot merge

(Initiating merge automatically since Phabricator Diff has merged)

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Sep 15, 2023
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@pytorchbot revert -m="Diff reverted internally" -c="ghfirst"

This Pull Request has been reverted by a revert inside Meta. To re-land this change, please open another pull request, assign the same reviewers, fix the CI failures that caused the revert and make sure that the failing CI runs on the PR by applying the proper ciflow label (e.g., ciflow/trunk).)

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@pytorchbot successfully started a revert job. Check the current status here.
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@jackiexu1992 your PR has been successfully reverted.

pytorchmergebot added a commit that referenced this pull request Sep 15, 2023
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