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Integrate PT2 pipeline with FullModelCompilation Config #2475

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Microve
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@Microve Microve commented Oct 8, 2024

Summary:
In current FMC setting, we start compilation from the first iteration. However, when we do sparse arch compilation, torchrec needs a few iterations of dry runs before compilation. So we need to postpone the compilation to happen in the torchrec pipeline.

Despite the difference, we aim to provide an uniform interface for users. Users can set FullModelCompilation Config as usual and if users also use training.pipeline_type=pt2, this diff can handle the postpone mechanism automatically.

Differential Revision: D63500331

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Oct 8, 2024
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This pull request was exported from Phabricator. Differential Revision: D63500331

Microve added a commit to Microve/torchrec that referenced this pull request Oct 8, 2024
Summary:

In current FMC setting, we start compilation from the first iteration. However, when we do sparse arch compilation, torchrec needs a few iterations of dry runs before compilation. So we need to postpone the compilation to happen in the torchrec pipeline.

Despite the difference, we aim to provide an uniform interface for users. Users can set `FullModelCompilation Config` as usual and if users also use `training.pipeline_type=pt2`, this diff can handle the postpone mechanism automatically.

Differential Revision: D63500331
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D63500331

Summary:

In current FMC setting, we start compilation from the first iteration. However, when we do sparse arch compilation, torchrec needs a few iterations of dry runs before compilation. So we need to postpone the compilation to happen in the torchrec pipeline.

Despite the difference, we aim to provide an uniform interface for users. Users can set `FullModelCompilation Config` as usual and if users also use `training.pipeline_type=pt2`, this diff can handle the postpone mechanism automatically.

Differential Revision: D63500331
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This pull request was exported from Phabricator. Differential Revision: D63500331

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