Kirthi Shankar Sivamani 7d25a4ec4f Handle FlashAttnQKVPackedSplitFunc by making rng_state optional in backward ... Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>		2023-04-13 06:25:52 +00:00
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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	[LayerNorm] Implement LN with parallel residual, support dim 8k	2023-03-31 14:23:45 -07:00
modules	make mlp hidden_features defaults to 4*in_features	2023-04-13 11:08:21 +08:00
ops	[LayerNorm] Implement LN with parallel residual, support dim 8k	2023-03-31 14:23:45 -07:00
utils	[FT] Fix FT's single query attention for bf16 hdim128 rotary	2023-03-28 21:27:00 -07:00
__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	Remove unused kwargs in flashattention	2023-03-15 10:36:19 -07:00
flash_attn_interface.py	Handle FlashAttnQKVPackedSplitFunc by making rng_state optional in backward	2023-04-13 06:25:52 +00:00
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