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[BC-Breaking]Remove capture_pre_autograd_graph references in quantization by yushangdi · Pull Request #139505 · pytorch/pytorch · GitHub
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yushangdi
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@yushangdi yushangdi commented Nov 1, 2024

Summary:
As title

This is a BC-breaking change because graph produced by "capture_pre_autograd_graph" cannot be input to quantization anymore. But this is ok, since this API is deprecated for a while and is going to be deleted. We have removed all call sites of it.

We remove the deprecated API references in code, docs, and tests.

We also removed two tests that specific to capture_pre_autograd_graph API.

Test Plan: CI

Differential Revision: D65351887

cc @ezyang @gchanan

@yushangdi yushangdi requested a review from jerryzh168 as a code owner November 1, 2024 19:12
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pytorch-bot bot commented Nov 1, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/139505

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 1 Unrelated Failure

As of commit 49f7be2 with merge base 498a780 (image):

NEW FAILURE - The following job has failed:

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@pytorch-bot pytorch-bot bot added the release notes: quantization release notes category label Nov 1, 2024
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This pull request was exported from Phabricator. Differential Revision: D65351887

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cc @andrewor14 can you follow up on how does the change of training ir affect batchnorm op consolidation work?

@jerryzh168 jerryzh168 requested a review from andrewor14 November 1, 2024 19:43
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There are some test failures because a call to capture_pre_autograd_graph is recently added in #139054. I'd have to wait until it's imported internally to overwrite it.

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This pull request was exported from Phabricator. Differential Revision: D65351887

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This pull request was exported from Phabricator. Differential Revision: D65351887

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This pull request was exported from Phabricator. Differential Revision: D65351887

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cc @andrewor14 can you follow up on how does the change of training ir affect batchnorm op consolidation work?

Sorry just saw this. It actually makes batch norm consolidation much lower priority, because export no longer produces the same batch norm ops as before. In particular, now we get aten.batch_norm directly in the graph, which is kind of already the "consolidated" op from export perspective. Users won't see aten.cudnn_batch_norm or aten._native_batch_norm_legit anymore if they use export_for_training

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This pull request was exported from Phabricator. Differential Revision: D65351887

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This pull request was exported from Phabricator. Differential Revision: D65351887

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This pull request was exported from Phabricator. Differential Revision: D65351887

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@andrewor14 @jerryzh168 We've removed all "capture_pre_autograd_graph" call sites now, and we are finally deleting it. Can I get a review for this PR? Thanks!!

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -f landed internally

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pytorch-bot bot commented Dec 13, 2024

❌ 🤖 pytorchbot command failed:

@pytorchbot: error: unrecognized arguments: internally

usage: @pytorchbot [-h] {merge,revert,rebase,label,drci,cherry-pick,close} ...

Try @pytorchbot --help for more info.

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@pytorchbot merge -f "landed internally"

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -f "landed internally"

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

4 similar comments
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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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@pytorchbot merge -i

(Initiating merge automatically since Phabricator Diff has merged, merging with -i because oss signals were bypassed internally)

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Merge started

Your change will be merged while ignoring the following 2 checks: pull / linux-focal-py3.13-clang10 / test (dynamo_wrapped, 1, 3, lf.linux.2xlarge), trunk / macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)

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