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Pytorch domain library for recommendation systems

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Summary: X-link: https://github.com/pytorch/FBGEMM/pull/3857 X-link: https://github.com/facebookresearch/FBGEMM/pull/949 Original commit changeset: e175eecac4c5 Original Phabricator Diff: D71444136 Reviewed By: sryap Differential Revision: D71578251

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Summary: This diff reverts D74293458 T224582561 broke tests Reviewed By: PoojaAg18 Differential Revision: D74902138

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ci-no-td

Differential Revision: D74857539

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Summary: When running torch.jit.script on the various forward functions, you can run into issues if there are any other utilites interacting with the function definitions. As an example, if you...

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Differential Revision: D74817490

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Differential Revision: D74820144

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Summary: Update the `_maybe_compute_stride_kjt` logic to calculate stride based off of `inverse_indices` for VBE KJTs. Currently, stride of VBE KJT with `stride_per_key_per_rank` is calculated as the max "stride per key"....

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Summary: Once, we TW shard the SSD tables here: D74444699 along with remaining tables, we traverse the model def and swap cpu tbe look up kernel for these ssd tables...

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We are using DLRM model for personalization and we are getting CUDA error. By setting up CUDA_LAUNCH_BLOCKING flag and enabling cuda core dump, it pointed to two files where the...

Summary: # Context * Currently torchrec IR serializer does not support exporting variable batch KJT, because the `stride_per_rank_per_rank` and `inverse_indices` fields are needed for deserializing VBE KJTs but they are...

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