squall/flash-attention
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
2800efc71f
flash-attention/flash_attn
History
Tri Dao d2f4324f4c [LayerNorm] Make sure memory addresses are aligned to 16 bytes
2023-07-04 14:53:12 -07:00
..
layers [Rotary] Make sure frequency calculation is in fp32 2023-07-02 16:39:39 -07:00
losses Tweak CrossEntropyLoss to take process_group in init 2022-12-27 10:47:43 -08:00
models [Gen] Add rotary base as an argument to FT attention kernel 2023-05-30 13:38:34 -07:00
modules [Rotary] Make sure frequency calculation is in fp32 2023-07-02 16:39:39 -07:00
ops [LayerNorm] Make sure memory addresses are aligned to 16 bytes 2023-07-04 14:53:12 -07:00
utils [Gen] Minor tweak to allocate_inference_cache 2023-04-21 11:56:47 -07:00
__init__.py Bump to v1.0.8 2023-07-02 17:04:54 -07:00
bert_padding.py remove numpy dependency 2022-10-06 19:17:15 +02:00
flash_attention.py Remove unused kwargs in flashattention 2023-03-15 10:36:19 -07:00
flash_attn_interface.py [Doc] Change total -> total_q 2023-07-02 17:23:52 -07:00
flash_attn_triton_og.py Implement FlashAttention in Triton 2022-10-30 18:09:11 -07:00
flash_attn_triton.py [Triton] Fix benchmark_causal, mention Triton version 2023-03-22 00:51:16 -07:00
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