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Pytorch domain library for recommendation systems

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Summary: As title Differential Revision: D56148751

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Summary: This is a prototype that support tables with same sharding type but place on different device group. e.g some table-wise sharded table placed on CPU, some table-wise sharded table...

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Summary: # context In a recent experiemnt with HSNN, we moved the KJT concat to the dataloader. Adding this tag for better understanding the impact. Differential Revision: D56124045

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DMP should broadcast DataParallel ShardingType embedding table param from the process with rank 0 to all other processes in the group to make sure that all model replicas start from...

Summary: # Problem Problem is once we wrap DP tables with DDP, the parameters are the same, but not synced. So if we reset the parameters in the table without...

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Differential Revision: D55602984

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Summary: The change is no-change for eager path. **Dynamo path** Dynamo tracing can not pass through various conditions => making dynamo path without those conditions. We skip asserts for dynamo...

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Summary: X-link: https://github.com/pytorch/FBGEMM/pull/2477 * we add the per indices bucketize bag reverse index return for inference batching needs. Differential Revision: D55492793

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Summary: As titled Reviewed By: henrylhtsang Differential Revision: D55381125

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Differential Revision: D55080370

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