flash-attention/flash_attn
2023-03-14 14:35:53 -07:00
..
layers [Rotary] Implement GPT-J style (interleaved) rotary 2023-03-14 14:35:53 -07:00
losses Tweak CrossEntropyLoss to take process_group in init 2022-12-27 10:47:43 -08:00
models [OPT] Load fp16 weights on CPU before moving to GPU 2023-01-22 17:01:32 -08:00
modules [FusedDense] Support relu, rename FusedDenseGeluDense -> FusedMLP 2023-01-17 18:12:27 -08:00
ops [LayerNorm] Rename x1 -> residual 2023-01-19 13:07:27 -08:00
utils [OPT] Load fp16 weights on CPU before moving to GPU 2023-01-22 17:01:32 -08:00
__init__.py Add missing __init__.py 2022-07-03 02:04:55 -04:00
bert_padding.py remove numpy dependency 2022-10-06 19:17:15 +02:00
flash_attention.py Change default dropout value in documentation 2023-01-13 10:50:07 +00:00
flash_attn_interface.py Fix the case when dout is not contiguous 2022-12-13 13:58:17 -08:00
flash_attn_triton_og.py Implement FlashAttention in Triton 2022-10-30 18:09:11 -07:00
flash_attn_triton.py [Triton] Avoid einops repeat by using Tensor.expand 2022-12-14 14:48:41 -08:00
flash_blocksparse_attention.py Rename src -> flash_attn 2022-06-01 18:50:26 -07:00
flash_blocksparse_attn_interface.py Rename src -> flash_attn 2022-06-01 18:50:26 -07:00
fused_softmax.py Add Megatron attention implementation for benchmarking 2022-10-23 23:04:16 -07:00