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Bagua is a deep learning training acceleration framework for PyTorch. It provides a one-stop training acceleration solution, including faster distributed training compared to PyTorch DDP, faster dataloader, kernel fusion, and more.
pip install bagua-cuda113
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.1>=3.4>=0.8.1!=1.0,<=1.0.1,>=0.24>=2.0>=0.11==2.9.1>=1.8>=2.25==0.4.0>=21.8>=2.0bagua-cuda113 publishes 3 wheels and 0 source archives for version 0.9.2. Wheel platform tags: manylinux_2_17_x86_64.manylinux2014_x86_64.
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PyPI lists 24 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .