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Pytorch domain library for recommendation systems

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Reviewed By: inseokhwang Differential Revision: D54686975

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Summary: * introduce static flags for weighted and cuda path based on tbe attributes instead of runtime value, more fx friendly and we will remove this wrap for tensor based...

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Summary: ### Overview https://fburl.com/gdoc/efm9by7o - Generate table-wise sharding for LocationType.HBM and row-wise sharding for LocationType.DI_HOST - So we can directly edit the DIShardingPass with extra arguments - For table-wise sharding,...

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Summary: to address: https://github.com/pytorch/torchrec/issues/1736 Differential Revision: D54547391

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Differential Revision: D54490404

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Summary: X-link: https://github.com/facebook/sapp/pull/108 X-link: https://github.com/pytorch/torchsnapshot/pull/168 X-link: https://github.com/pytorch/tnt/pull/717 X-link: https://github.com/facebook/pyre-check/pull/818 Reviewed By: connernilsen Differential Revision: D54436435

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Summary: In the current implementation of `from_dense` method `self.lengths` always created on cpu. This is the problem, because methods that expects both `values` and `lengths` to be on the same...

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Summary: As titled Reviewed By: jingsh Differential Revision: D54313506

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Summary: Error is reported when using a combination of rowwise/tablewise sharding in SQEC. This is diff fix this error in SQEC. A refactor is needed and in the following diff...

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Summary: torch.cat fails on empty list, guarding this case. Differential Revision: D54305327

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