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flash-attention
mirror of https://github.com/Dao-AILab/flash-attention
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flash-attention
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fused_dense_lib
Chirag Jain 50896ec574 Make nvcc threads configurable via environment variable (#885) 9 months ago
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README.md 43ab0b5205 Mention that some CUDA extensions have only been tested on A100s 2 years ago
fused_dense.cpp 27f8f890df [FusedDense] Allocate lt_workspace on input device 1 year ago
fused_dense_cuda.cu 27f8f890df [FusedDense] Allocate lt_workspace on input device 1 year ago
setup.py 50896ec574 Make nvcc threads configurable via environment variable (#885) 9 months ago

README.md

This CUDA extension implements fused matmul + bias (forward and backward), and fused matmul + bias + gelu (forward and backward), adapted from Apex's FusedDense. We make it work for bfloat16.

For best performance, you should use CUDA >= 11.8. CuBLAS versions before this doesn't have the best matmul + bias + gelu performance for bfloat16.

It has only been tested on A100s.

cd csrc/fused_dense_lib && pip install .