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Summary:
Add operator selection ability to gen_unboxing:

  • Adds ability to pass in selected_operators.yaml to gen_aten_unboxing_files target
  • Creates a selective builder using the selected_operators.yaml in gen_unboxing.py and uses the selective builder to select native functions for codegen

Test Plan: Used selected_operators.yaml used in oacr_service target and ensured the codegen only generated code for included ops

Differential Revision: D34809772

Summary:
Add operator selection ability to gen_unboxing:
- Adds ability to pass in selected_operators.yaml to gen_aten_unboxing_files target
- Creates a selective builder using the selected_operators.yaml in gen_unboxing.py and uses the selective builder to select native functions for codegen

Test Plan: Used selected_operators.yaml used in oacr_service target and ensured the codegen only generated code for included ops

Differential Revision: D34809772

fbshipit-source-id: 0225cc6170866633443172c754919a692d587068
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pytorch-bot bot commented Mar 16, 2022

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@facebook-github-bot facebook-github-bot added oncall: jit Add this issue/PR to JIT oncall triage queue fb-exported labels Mar 16, 2022
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This pull request was exported from Phabricator. Differential Revision: D34809772

@larryliu0820 larryliu0820 linked an issue Mar 16, 2022 that may be closed by this pull request
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Looks good to me

facebook-github-bot pushed a commit that referenced this pull request Mar 16, 2022
Summary:
Pull Request resolved: #74271

Add operator selection ability to gen_unboxing:
- Adds ability to pass in selected_operators.yaml to gen_aten_unboxing_files target
- Creates a selective builder using the selected_operators.yaml in gen_unboxing.py and uses the selective builder to select native functions for codegen

Test Plan: Used selected_operators.yaml used in oacr_service target and ensured the codegen only generated code for included ops

Reviewed By: larryliu0820

Differential Revision: D34809772

fbshipit-source-id: c8d58e9693730b3d5b55f77ea057ee14a5ee1337
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Hey @priyaramani.
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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[PyTorch] Lightweight dispatch

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