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ccbb14f38e
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79 Commits

Author SHA1 Message Date
Tri Dao
ccbb14f38e Implement rotary embedding in flash_attn_with_kvcache 2023-09-16 01:20:16 -07:00
Tri Dao
56b7fc6ee0 Simplify the implementation of KVcache attn by appending KV first 2023-09-13 15:55:48 -07:00
Tri Dao
bb9beb3645 Remove some unused headers 2023-09-12 12:37:10 -07:00
Tri Dao
ee77b931b9 Swap seqlen_q and nheads for MQA to speed it up (h/t Daniel Haziza) 2023-09-10 22:56:33 -07:00
Tri Dao
37c6e05406 Implement flash_attn_with_kvcache 2023-09-04 00:11:44 -07:00
Tri Dao
6a89b2f121 Remove constexpr in launch template to fix CI compilation 2023-09-03 22:59:41 -07:00
Tri Dao
1dc1b6c8f2 Bump to v2.1.2 2023-09-03 22:23:05 -07:00
Tri Dao
5953c4f58c Remove unused sdPsum in dot_do_o function 2023-09-03 20:44:07 -07:00
Tri Dao
26d7d92f3d Fix splitKV combine function when local LSEs are all -inf 2023-09-03 11:39:09 -07:00
Sophia Wisdom
37e32febba
Remove commented out code in bwd (#512) 
* Remove lots of comments

* Remove unused traits
 2023-09-01 16:43:58 -07:00
Sophia Wisdom
dd8a754915
Remove old code in utils.h (#511) 2023-09-01 15:32:09 -07:00
Tri Dao
31920dda5f Fix typo with lse_max == -INFINITY 2023-08-29 21:48:59 -07:00
Tri Dao
b1fbbd8337 Implement splitKV attention 2023-08-29 00:58:29 -07:00
Tri Dao
7a983df742 Use generate_kernels.py script from Driss Guessous 2023-08-28 13:34:12 -07:00
Tri Dao
9e5e8bc91e Change causal mask to be aligned to bottom-right instead of top-left 2023-08-24 23:41:07 -07:00
BoxiangW
e07aa036db
Support flash attention 2 with causal masking when KV's seq length is longer than Q's seq length. (#436) 2023-08-24 16:42:34 -07:00
Tri Dao
bcfa7c9751 [FusedDense] Run black on fused_dense.py 2023-08-16 23:41:36 -07:00
Tri Dao
c65b5106ac Fix Bwd NaN for varlen when seqlen_q >> seqlen_k and causal 2023-08-16 15:12:36 -07:00
Tri Dao
dbd7923782 Prepare for Cutlass 3.2 2023-08-13 15:24:32 -07:00
Tri Dao
3524e13c11 Update to Cutlass 3.1 2023-08-13 13:53:17 -07:00
Tri Dao
1c41d2b0e5 Fix race condition in bwd (overwriting sK) 2023-08-01 09:00:10 -07:00
Tri Dao
a4f148b6ab Fix masking of bwd when seqlen is not divisible by 128 2023-07-31 17:46:34 -07:00
Kirthi Shankar Sivamani
a03f6f8e9e
Enable CUDA graphs (#386) 
* Add RNG state to kernel launch params

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Save seed and offset for backward

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Single thread write to global mem

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* compute_dq_dk_dv_1colblock get seed and offset from launch params

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* compute_dq_dk_dv_1rowblock get seed and offset from launch params

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change forward c++ APIs to save RNG state for backward

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change backward c++ APIs to set RNG state for bprop launcher

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Bug fixes

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Python side API changes

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Bug fix; only save seeds instead of full offset

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Account for 3D grid size

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
 2023-07-27 16:11:34 -07:00
Tri Dao
9ee0ff1d9b Fix using dO stride for O, which can cause memory error in bwd 2023-07-20 17:39:57 -07:00
danthe3rd
538d570c96 Fix compile error on MSVC 
See also: https://stackoverflow.com/questions/55136414/constexpr-variable-captured-inside-lambda-loses-its-constexpr-ness
 2023-07-19 08:04:57 +00:00
Tri Dao
4f285b3547 FlashAttention-2 release 2023-07-17 06:21:34 -07:00
Tri Dao
ad113948a6 [Docs] Clearer error message for bwd d > 64, bump to v1.0.4 2023-04-26 09:19:48 -07:00
Kirthi Shankar Sivamani
45567a25a2 only 1 thread writes to global mem in fprop 
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
 2023-04-15 06:09:41 +00:00
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
Kirthi Shankar Sivamani
31018c5fa0 Support CUDA graph capture 
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
 2023-04-12 16:53:22 -07:00
Tri Dao
1b18f1b7a1 Support H100 2023-03-15 14:59:02 -07:00
Tri Dao
6b4a48218e [FA] Remove unused variable rng_engine_inputs 2023-01-25 15:32:40 -08:00
Tri Dao
a1f49a2b92 [Compilation] Change BOOL_SWITCH to fix Windows compilation 
Follow xFormers's DISTPATCH_BOOL. Haven't tested it on Windows.
 2023-01-06 14:40:58 -08:00
Tri Dao
8a2ece89f7 Simplify BOOL_SWITCH macro to fix compiling error on gcc 7 2022-12-06 14:38:32 -08:00
Tri Dao
9bc63d1e2d Fix typo in comments 2022-11-25 16:35:08 -08:00
Tri Dao
d95ee1a95d Speed up compilation by splitting into separate .cu files 2022-11-25 16:30:18 -08:00
Tri Dao
6998e0ecdb Fix out-of-bound memory read 2022-11-09 09:34:14 -08:00
Tri Dao
557781933d Parallelize CUDA bwd along seqlen_k instead of seqlen_q 
This is faster since we only need to do atomic adds on dq, instead of atomic
adds on both dk and dv.
 2022-11-05 16:26:17 -07:00
Tri Dao
c422fee377 Get rid of o_rows_are_valid since we don't have headdim=16 anymore 2022-10-24 17:29:36 -07:00
Tri Dao
46fd2a20b2 Support all head dims that are multiples of 8, up to 128 2022-10-24 16:04:21 -07:00
Tri Dao
97e13de2b4 Cast q.get_device() to char to avoid compiler warning (narrowing) 2022-10-24 15:59:49 -07:00
Tri Dao
9e92a1f2d2 Attempt to use atomicCAS to replace atomicAdd(bfloat16) 2022-10-23 16:22:43 -07:00
Tri Dao
a5a8806d1a Split bwd on the seqlen_q dimension 2022-10-23 11:35:15 -07:00
Tri Dao
871db47941 Don't need to run configure for the forward pass 2022-10-21 18:22:27 -07:00
Tri Dao
7fc39832e2 Use block_size=128 for headdim=128 on SM80 
Previously we were using block_size=256.
 2022-10-21 13:19:54 -07:00
Tri Dao
a44f48df5a Split fwd on the seqlen_q dimension 2022-10-21 12:04:27 -07:00
Tri Dao
1aa6d7d9b6 Rework dropout to decouple forward and backward 
They don't have to have the same block size, number of threads, etc.
 2022-10-21 12:04:27 -07:00
YangShu
ff07250e8f
fix typo in function mha_fwd 
as title.
 2022-10-17 16:13:47 +08:00
Tri Dao
52fb4b729b Fix #54: set device for multi-GPU case 2022-10-16 12:51:26 -07:00
Tri Dao
5badfb7848 Implement attention kernel that splits the batch into two 2022-10-13 20:49:02 -07:00