Add logic to stream weights in EmbeddingKVDB #4058
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…ytorch#4053) Summary: X-link: facebookresearch/FBGEMM#1138 X-link: pytorch/torchrec#2928 As titled, add this option all the way to gate the upcoming changes of raw embedding streaming in SSDTBE. Differential Revision: D73691088
Summary: X-link: pytorch/torchrec#2930 Gated by enable_raw_embedding_streaming Add the logic to send the passed in tensors to `TrainingParameterServerService` thrift service in EmbeddingKVDB The passed in - `table_names` to get the table FQN when streaming - `table_offsets` to get the global row id across TBEs. - `table_sizes` to get size of each table in TBE to infer which table a specific row belongs to. - `ps_server_port` is the port that runs the local `TrainingParameterServerService` to stream tensors to. It creates a new thread `weights_stream_thread_` in EmbeddingKBDB to stream the weights out of trainers asynchronously. Differential Revision: D73792631
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This pull request was exported from Phabricator. Differential Revision: D73792631 |
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Summary:
X-link: pytorch/torchrec#2930
Gated by enable_raw_embedding_streaming
Add the logic to send the passed in tensors to
TrainingParameterServerServicethrift service in EmbeddingKVDBThe passed in
table_namesto get the table FQN when streamingtable_offsetsto get the global row id across TBEs.table_sizesto get size of each table in TBE to infer which table a specific row belongs to.ps_server_portis the port that runs the localTrainingParameterServerServiceto stream tensors to.It creates a new thread
weights_stream_thread_in EmbeddingKBDB to stream the weights out of trainers asynchronously.Differential Revision: D73792631