FBGEMM_GPU

FBGEMM_GPU-CPU CI FBGEMM_GPU-CUDA CI FBGEMM_GPU-ROCm CI

FBGEMM_GPU (FBGEMM GPU Kernels Library) is a collection of high-performance PyTorch GPU operator libraries for training and inference. The library provides efficient table batched embedding bag, data layout transformation, and quantization supports.

See the full Documentation for more information on building, installing, and developing with FBGEMM_GPU, as well as the most up-to-date support matrix for this library.

Join the FBGEMM_GPU Community

For questions, support, news updates, or feature requests, please feel free to:

For contributions, please see the CONTRIBUTING file for ways to help out.

License

FBGEMM_GPU is BSD licensed, as found in the LICENSE file.

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Latest release

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PyPI data
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Avatar for fbgemm from gravatar.com fbgemm Avatar for jianyuhuang from gravatar.com jianyuhuang

Credits

Author: FBGEMM Team

License

BSD License (BSD-3)

Tags

PyTorch Recommendation Models High Performance Computing GPU CUDA

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fbgemm_gpu_cpu-1.8.0-cp313-cp313-manylinux_2_28_x86_64.whl (6.0 MB view details)

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fbgemm_gpu_cpu-1.8.0-cp311-cp311-manylinux_2_28_aarch64.whl (4.8 MB view details)

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fbgemm_gpu_cpu-1.8.0-cp310-cp310-manylinux_2_28_x86_64.whl (6.0 MB view details)

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fbgemm_gpu_cpu-1.8.0-cp310-cp310-manylinux_2_28_aarch64.whl (4.8 MB view details)

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