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Pytorch domain library for recommendation systems

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Differential Revision: D57052509

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Hi TorchRec Team, We've recently been trying to use the dynamic embedding feature in torchrec contrib, but we have encountered a few challenges. The process may result in a segmentation...

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Summary: More of an RFC diff. depends on https://github.com/pytorch/torchrec/pull/1837 (see diagram there) The high level idea is we want to disagg the dense and sparse tower placement in rec model...

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Differential Revision: D56915458 Privacy Context Container: 1203980333745195

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Summary: The first fused parameter will override the other tbes. Fixing by using config.is_weighted Reviewed By: hlin09 Differential Revision: D56847642

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Summary: design doc: https://docs.google.com/document/d/17_nqdEtH6B_ev9Gnuw2mpgtFq4dqzC6-XUdw18R4F8Q/ # changes ## in ITEP make remap a callback of input dist ## in torchrec copy callbacks from input dist to fused input dist # impact...

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Summary: Adding dynamo coverage for KJT methods: - permute - split - regroup_as_dict - getitem - todict split and getitem tests need additional checks (similar to pre slice check). Extracted...

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Summary: Fix pyre-check, ex: https://github.com/pytorch/torchrec/actions/runs/9036052208/job/24832104332 Reviewed By: henrylhtsang Differential Revision: D57224368

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These talks capture what model parallelism is, what we are trying to do, and different components of TorchRec [Intro to Model Parallelism for Recommendations Systems](https://docs.google.com/presentation/d/1RJAoYGbqgyAPCGs8eKOBDhQTqD9MrznlaIOIC_f_3ww/edit?usp=drive_link) by Dennis [Torchrec Part 1](https://docs.google.com/presentation/d/1C6WKsbQBD8HIORH8bts-T5WK97dVidDNbHZZW738SSU/edit?usp=drive_link)...

Summary: Make KJT permute work in edge cases for torch.export: https://fb.workplace.com/groups/6829516587176185/posts/7206415192819654/?comment_id=7207715762689597&reply_comment_id=7210658785728628. A cleaner solution than before as well. Necessary for enabling PT2 eager model processing on AIMP Differential Revision: D57162331

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