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ec9f74ab9a
flash-attention/flash_attn
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Tri Dao ec9f74ab9a [Rotary] Don't store inv_freq in state_dict
2023-07-22 23:52:42 -07:00
..
layers [Rotary] Don't store inv_freq in state_dict 2023-07-22 23:52:42 -07:00
losses Tweak CrossEntropyLoss to take process_group in init 2022-12-27 10:47:43 -08:00
models [Rotary] Don't store inv_freq in state_dict 2023-07-22 23:52:42 -07:00
modules [MLP] Add ParallelMLP 2023-07-22 23:45:51 -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 FlashAttention-2 release 2023-07-17 06:21:34 -07:00
bert_padding.py remove numpy dependency 2022-10-06 19:17:15 +02:00
flash_attn_interface.py Make sure dout is contiguous 2023-07-17 21:54:44 -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