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Summary: Use the codegen on the original graph module for the new graph module produced by transformer.

Test Plan: Added a unit test: test_custom_codegen_with_transformer

Differential Revision: D34867938

Summary: Use the codegen on the original graph module for the new graph module produced by transformer.

Test Plan: Added a unit test: test_custom_codegen_with_transformer

Differential Revision: D34867938

fbshipit-source-id: e9b97b76b0291a3a944af2acd15ea53160b4a007
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This pull request was exported from Phabricator. Differential Revision: D34867938

@842974287 842974287 requested review from Chillee and jamesr66a March 14, 2022 22:58
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LGTM!

I wonder if there's anywhere we need to propagate this that I forgot about.

facebook-github-bot pushed a commit that referenced this pull request Mar 16, 2022
Summary:
Pull Request resolved: #74189

Use the codegen on the original graph module for the new graph module produced by transformer.

Test Plan: Added a unit test: test_custom_codegen_with_transformer

Reviewed By: yinghai

Differential Revision: D34867938

fbshipit-source-id: fcda6600faeccfa7a650ba7226ca125e8440b19c
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Hey @842974287.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.

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