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This pull request was exported from Phabricator. Differential Revision: D79588454 |
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Summary: Pull Request resolved: pytorch-labs#753 Adds a TCPBuffer implementation to tensor_engine, as a fallback example for RDMABuffer. The main change from the original TCP-based buffer is that it uses ZMQ for communications to 1) decouple from Monarch's message passing system and 2) to mimic RDMABuffer's design, and showcase how other backends can be easily added Differential Revision: D79588454
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This pull request was exported from Phabricator. Differential Revision: D79588454 |
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Summary: Pull Request resolved: pytorch-labs#644 1.10.1 (March 5th, 2025) Fixed Fix memory leak when using to_vec with Bytes::from_owner (#773) 1.10.0 (February 3rd, 2025) Added Add feature to support platforms without atomic CAS (pytorch-labs#467) try_get_* methods for Buf trait (pytorch-labs#753) Implement Buf::chunks_vectored for Take (pytorch-labs#617) Implement Buf::chunks_vectored for VecDeque<u8> (pytorch-labs#708) Fixed Remove incorrect guarantee for chunks_vectored (pytorch-labs#754) Ensure that tests pass under panic=abort (pytorch-labs#749) Reviewed By: cjlongoria Differential Revision: D78948561 fbshipit-source-id: bb755e25088f9d77f0d5a9ae3027cadc51ea586a
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Summary:
Adds a TCPBuffer implementation to tensor_engine, as a fallback example for RDMABuffer.
The main change from the original TCP-based buffer is that it uses ZMQ for communications to 1) decouple from Monarch's message passing system and 2) to mimic RDMABuffer's design, and showcase how other backends can be easily added
Differential Revision: D79588454