No project description provided
Reason this release was yanked:
1.0.0rc1
Project description
FBGEMM_GPU
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.
FBGEMM_GPU is currently tested with CUDA 12.1 and 11.8 in CI, and with PyTorch packages (2.1+) that are built against those CUDA versions.
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:
- File a ticket in GitHub Issues
- Post a discussion in GitHub Discussions
- Reach out to us on the
#fbgemm
channel in PyTorch Slack
For contributions, please see the CONTRIBUTING
file for
ways to help out.
License
FBGEMM_GPU is BSD licensed, as found in the LICENSE
file.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for fbgemm_gpu-1.0.0rc1-cp312-cp312-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 08b6948abd6224511aaba63ea215a81fd019ef52a272f4dfa2c2d7e65cbe6a30 |
|
MD5 | 317cc1fd58159c12226c59e249936bfc |
|
BLAKE2b-256 | e33e081f1ba5e1275ee18dba7bd367e48dfbee68aa7a57c0653b0fba0d7eeb0f |
Hashes for fbgemm_gpu-1.0.0rc1-cp311-cp311-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 41a22341d330f2e6f54344b19343ceca352693a736f1e5046908a8a624b40720 |
|
MD5 | 8ef47fa8c67471e4669f59171d991b33 |
|
BLAKE2b-256 | 2e4708f7503e80770af8a5dec45657a97e93487ffb05076a563c0c43220c0b10 |
Hashes for fbgemm_gpu-1.0.0rc1-cp310-cp310-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5aa07e0d72a6a42a2e0b5d05ab4e6d943057248640dd9304f73fd7f7c1467675 |
|
MD5 | 5a5e946066c82784edb48a5359771c0b |
|
BLAKE2b-256 | 1a55fbcf392bcdb82fb110887980bedc4b50d2968ffe1a73e7e4b303ccd132ce |
Hashes for fbgemm_gpu-1.0.0rc1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64b396eb0d8c9061b8c4957cd5bc803aaa20279d275c865b26e5409bc4163535 |
|
MD5 | c284dd781b0aecd2b476e8c55368dd12 |
|
BLAKE2b-256 | dfd2971bd559e7f96d7ca4a33eb3c5bbacfc6d71e0bc246eacef98077fb23e6b |