Changelog for BytePS

0.2.4 (2020-06)

• Fix compatibility issue with tf2 + standalone keras
• Add support for tensorflow.keras
• Improve robustness of broadcast

0.2.3 (2020-05)

• Add DistributedDataParallel module for PyTorch
• Fix the problem of different CPU tensor using the same name
• Add skip_synchronize api for PyTorch
• Add the option for lazy/non-lazy init

0.2.0 (2020-02)

• Largely improve RDMA performance by enforcing page aligned memory.
• Add IPC support for RDMA. Now support colocating servers and workers without sacrificing much performance.
• Fix a hanging bug in BytePS server.
• Fix RDMA-related segmentation fault problem during fork() (e.g., used by PyTorch data loader).
• New feature: Enable mixing use of colocate and non-colocate servers, along with a smart tensor allocation strategy.
• New feature: Add bpslaunch as the command to launch tasks.
• Add support for pip install: pip3 install byteps

0.1.0 (2019-12)

• First official release.