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331 Commits

Author SHA1 Message Date
Tri Dao
e0fbaa7016 [Gen] Simplify decode_speculative 2023-09-19 22:20:22 -07:00
Tri Dao
e6a8026489 [Gen] Rename max_sequence_len->max_seqlen, sequence_len_offset->seqlen_offset 2023-09-19 22:20:22 -07:00
Kevin Hu
42832575d4
Fix Llama GQA/MQA (#546) 
* Fix llama MQA

* Fix permute shape

* Update llama.py
 2023-09-19 22:15:59 -07:00
Tri Dao
dfe29f5e2b [Gen] Don't use ft_attention, use flash_attn_with_kvcache instead 2023-09-18 15:29:06 -07:00
Tri Dao
799f56fa90 Don't compile for Pytorch 2.1 on CUDA 12.1 due to nvcc segfaults 2023-09-17 22:15:38 -07:00
Tri Dao
c984208ddb Set block size to 64 x 64 for kvcache to avoid nvcc segfaults 2023-09-17 16:14:58 -07:00
Tri Dao
8c8b4d36e1 Bump to v2.2.3 2023-09-16 01:47:01 -07:00
Tri Dao
ccbb14f38e Implement rotary embedding in flash_attn_with_kvcache 2023-09-16 01:20:16 -07:00
Tri Dao
5400fdc4ac [CE] Implement CrossEntropyLoss in Triton 2023-09-15 20:05:28 -07:00
Tri Dao
d0032700d1 Add tests for Pythia, GPT-JT, and RedPajama models 2023-09-13 01:10:39 -07:00
Tri Dao
08c295c043 Bump to v2.2.2 2023-09-10 23:48:12 -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
Kevin Hu
07005806ff
Add BigCode converters (#532) 2023-09-10 17:24:50 -07:00
Tri Dao
8a733cbd53 [Gen] Fix calling update_graph_cache in tests 2023-09-10 17:22:37 -07:00
Kevin Hu
4c91621a5e
Inverse state dict for BERT (#527) 2023-09-09 01:44:21 -07:00
Tri Dao
a86442f0f3 [Gen] Use flash_attn_with_kvcache in generation 2023-09-07 08:24:43 -07:00
Tri Dao
a1576ad1e8 Bump to v2.2.1 2023-09-06 02:19:55 -07:00
Tri Dao
9795159082 [Rotary] Set device before launching Triton kernel to avoid error 2023-09-05 21:29:03 -07:00
Tri Dao
6d673cd961 Bump to v2.2.0 2023-09-05 11:34:13 -07:00
Kyeongpil Kang
8e893f0950
Create __init__.py for ops/triton dir (#516) 2023-09-05 11:29:03 -07:00
Tri Dao
fd20f16a4e Support cache_seqlens being integer 2023-09-05 11:27:48 -07:00
Tri Dao
913922cac5 [Gen] Refactor decoding function 2023-09-04 17:01:38 -07:00
Tri Dao
3557e0bb8f [MLP] Implement SwiGLU with torch jiterator 2023-09-04 15:43:53 -07:00
Tri Dao
37c6e05406 Implement flash_attn_with_kvcache 2023-09-04 00:11:44 -07:00
Tri Dao
4976650f74 Set single threaded compilation for CUDA 12.2 so CI doesn't OOM 2023-09-03 23:42:55 -07:00
Tri Dao
6a89b2f121 Remove constexpr in launch template to fix CI compilation 2023-09-03 22:59:41 -07:00
Tri Dao
97ba7a62e9 Try switching back to Cutlass 3.2.0 2023-09-03 22:45:35 -07:00
Tri Dao
1dc1b6c8f2 Bump to v2.1.2 2023-09-03 22:23:05 -07:00
Tri Dao
798858f9f1 Fix test_baichuan 2023-09-03 21:01:37 -07:00
Tri Dao
7b33743a72 [Gen] Add back num_last_tokens in gpt.py 2023-09-03 20:44:40 -07:00
Tri Dao
b28ec236df [Rotary] Implement varlen rotary 2023-09-03 17:57:10 -07:00
Tri Dao
861c82577d [Rotary] Clean up rotary Triton implementation a bit 2023-09-03 16:41:17 -07:00
Tri Dao
1c523c1ce1 [Rotary] Speed up rotary kernel when interleaved=True 2023-09-03 16:24:37 -07:00
Tri Dao
de2949f37d [Rotary] Pass max_seqlen from mha.py to rotary during inference 2023-09-03 11:37:06 -07:00
Tri Dao
942fcbf046 [Rotary] Implement rotary in Triton 2023-09-03 02:51:58 -07:00
dan_the_3rd
c9d4a816fa
Support LLaMa2 and CodeLLaMa (#491) 
Co-authored-by: danthe3rd <danthe3rd>
 2023-08-30 10:31:14 -07:00
dan_the_3rd
011ec323d6
Support MQA + MP for decoding (#490) 
Co-authored-by: danthe3rd <danthe3rd>
 2023-08-30 10:29:54 -07:00
GAOXinyu
0cb595ad94
[bugfix] handle_x not define when using checkpoint_lvl = 2 (#502) 
when using checkpoint_lvl=2, we all_gather_raw(x) without async_op=True.
So we don't need to wait for handle. Just skip.
 2023-08-29 23:46:10 -07:00
Tri Dao
8a326bbc9e [Gen] Minor fix to modify logits for top_p 2023-08-29 14:29:06 -07:00
Su Zhu
8f6f48d8a8
add unpad_input_for_concatenated_sequences (#499) 
* add unpad_input_for_concatenated_sequences

* modify docstring
 2023-08-29 02:23:56 -07:00
Tri Dao
757058d4d3 Update Cutlass to v3.2.0 2023-08-27 23:47:28 -07:00
Tri Dao
9f42cb6e7a [Gen] Clone logits before returning when cg=True 2023-08-27 23:19:58 -07:00
Tri Dao
f8aea6ead0 [GPT] Generalize last_token_only arg to num_last_tokens 2023-08-26 20:47:53 -07:00
Tri Dao
7a3bd55f1a [Gen] Fix decode function not using top_p during iterative decoding 2023-08-26 15:14:41 -07:00
Tri Dao
847abe653c [Gen] Refactor decode function a bit 2023-08-26 14:47:25 -07:00
Tri Dao
a2974e850a Change causal for CrossAttention in mha.py to align to bottom right 2023-08-26 12:57:33 -07:00
Tri Dao
73bd3f3bbb Move pyproject.toml to flash-attn and tests dir to avoid PEP 517 2023-08-25 15:05:28 -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
Aman Gupta Karmani
e0b09891c6
add llama support to GPTPreTrainedModel.from_pretrained (#479) 2023-08-24 16:31:16 -07:00
Tri Dao
6711b3bc40 Bump version to 2.0.9 2023-08-22 00:21:14 -07:00
Tri Dao
ef6d8c75d9 [GPT] Fix loading weights from HF hub 2023-08-21 22:56:02 -07:00
GAOXinyu
a8c35b4f57
FEAT: add codes which supporting for baichuan-inc/Baichuan-7B (#425) 2023-08-21 11:05:06 -07:00
Xuechen Li
25d6b1dbcb
handle uneven heads across ranks when combining state_dicts; resolves #467 (#468) 
* q

* add comment.
 2023-08-20 14:57:34 -07:00
Tri Dao
d431f16751 Import torch before flash_attn_2_cuda 2023-08-19 21:07:33 -07:00
Xuechen Li
7fcd3e6a04
map custom model state_dict back to huggingface format (#465) 
* fix name.

* set inv function.

* add map back function.

* handle gqa.

* add type annotation to avoid confusion.

* fix docstr.

* test inverse remap logic.
 2023-08-18 20:51:39 -07:00
Tri Dao
f1a73d0740 Run isort and black on python files 2023-08-18 14:22:11 -07:00
Xuechen Li
bb4cded17b
support when num_heads is not divisible by world_size; resolves #459 (#461) 
* uneql rank.

* trim.

* enable passing in number of heads for each rank.

* simplify.

* simplify.

* cleanup.

* fix col parallel.

* fix bug with row parallel.

* fit out proj.

* refac.

* fix sharding logic.

* refac sharding.

* refac.

* support multiple of.

* make fn reuseable.

* fix bug in dimensions.

* scaffold.

* test uneven heads.

* fix test by adding barrier.

* refac.

* reuse code.

* clean up.
 2023-08-18 14:10:35 -07:00
Tri Dao
ada4710d70 [ViT] Run black on vit.py 2023-08-17 17:45:09 -07:00
Tri Dao
a81900d4c1 [ViT] Minor fix so it runs 2023-08-17 17:25:34 -07:00
Tri Dao
4b661a569d [GPT] Run black on gpt.py 2023-08-16 23:47:50 -07:00
Tri Dao
bec5b3d374 [MHA] Run black on mha.py 2023-08-16 23:47:13 -07:00
Tri Dao
cb0daccc41 [FusedDense] Allow Row/ColumnParallelLinear to have uneven split 2023-08-16 23:43:35 -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
Xuechen Li
0f7853c6a1
enable loading hf llama checkpoints for training (#446) 
* prelim.

* add hf convertion fn.

* mlp.

* change name.

* fix bug.

* inverse permute.

* change comment.

* revert style changes.

* fix.

* add doc.

* revert.

* enable load safe.

* fix safe load.

* fix import.

* fix typing-related lints.

* fix ckpt loading logic.

* make single gpu work.

* test with parallel.

* ckpt format.

* enable pretrained state dict.

* remove unused imports.

* remove unused.

* mark idea related.
 2023-08-15 08:33:15 -07:00
Tri Dao
c60851a825 Bump to v2.0.7 2023-08-14 14:55:35 -07:00
Tri Dao
f8dccfc90a [CI] Fix MATRIX_CUDA_VERSION check 2023-08-14 10:27:26 -07:00
Tri Dao
9c531bdc0a Use single thread compilation for cuda12.1, torch2.1 to avoid OOM CI 2023-08-14 10:03:31 -07:00
Tri Dao
67ae6fd74b Bump to v2.0.6 2023-08-13 16:52:48 -07:00
Tri Dao
c5e87b11e9 Bump to v2.0.5 2023-08-13 13:55:04 -07:00
Tri Dao
364a5b4a71 [MLP] Change the check for out_features being None 2023-08-10 00:04:38 -07:00
Tri Dao
d30f2e1cd5 Bump to v2.0.4 2023-08-01 09:01:07 -07:00
Tri Dao
a4e5d1eddd Bump to v2.0.3 2023-07-31 17:49:23 -07:00
Tri Dao
8f4cd4c16b [Docs] Fix docstring about Q nheads being divisible by KV nheads 2023-07-31 17:47:03 -07:00
Tri Dao
184b992dcb [GPT] Implement parallel LLaMa 2023-07-28 15:52:48 -10:00
Tri Dao
840f7925a0 [Docs] Fix mention of MQA/GQA in qkvpacked functions 2023-07-28 12:26:29 -10:00
Tri Dao
60499abcfd [Benchmark] Add script to benchmark FlashAttention 2023-07-28 00:26:52 -10:00
Kirthi Shankar Sivamani
32a953f486
Request for v2.0.2 (#388) 
* Bump version to 2.0.2

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

* Update version in Dockerfile

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

---------

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
 2023-07-28 02:46:03 -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
4c98d0b41f [MLP] Edit ParallelGatedMlp 2023-07-26 09:39:37 -10:00
Haodong Lyu
8ee62efca3
Implement ParallelGatedMlp (#251) 2023-07-26 12:14:15 -07:00
Tri Dao
b252072409 Bump to v2.0.1 2023-07-23 12:33:42 -10:00
Tri Dao
d38357dd2f [GPT] Implement Falcon 2023-07-23 10:32:29 -07:00
Kiarash Jamali
684196b8c5
Allow rotary embeddings for Bert (#363) 2023-07-23 00:21:45 -07:00
Tri Dao
425dbcb6c6 [MHA] Implement MQA/GQA 2023-07-23 00:06:58 -07:00
Tri Dao
ec9f74ab9a [Rotary] Don't store inv_freq in state_dict 2023-07-22 23:52:42 -07:00
Tri Dao
75e334d407 [MLP] Add ParallelMLP 2023-07-22 23:45:51 -07:00
Tri Dao
b3177dfaf6 [GPT] Enable FlashAttention for GPT-J 2023-07-21 17:29:10 -07:00
Tri Dao
6fc1e07da2 [Block] Re-enable DropPath 2023-07-21 16:39:23 -07:00
Tri Dao
b4cc152e97 Make sure dout is contiguous 2023-07-17 21:54:44 -07:00
Tri Dao
4f285b3547 FlashAttention-2 release 2023-07-17 06:21:34 -07:00
Tri Dao
6d48e14a6c Bump to v1.0.9 2023-07-17 03:16:40 -07:00
Volodymyr Kyrylov
70ab266a56 rotary: update cos/sin cache when switching from inference mode 
This resolves RuntimeErrors after running evaluation in inference mode:

```
  File "/home/proger/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/proger/.local/lib/python3.10/site-packages/flash_attn/modules/mha.py", line 492, in forward
    qkv = self.rotary_emb(qkv)
  File "/home/proger/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/proger/.local/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 229, in forward
    return apply_rotary_emb_qkv_(
  File "/home/proger/.local/lib/python3.10/site-packages/torch/autograd/function.py", line 506, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
RuntimeError: Inference tensors cannot be saved for backward. To work around you can make a clone to get a normal tensor and use it in autograd.
```
 2023-07-08 12:01:07 +02:00
Tri Dao
d2f4324f4c [LayerNorm] Make sure memory addresses are aligned to 16 bytes 2023-07-04 14:53:12 -07:00
Tri Dao
e8a0b4acdd [Doc] Change total -> total_q 2023-07-02 17:23:52 -07:00
Tri Dao
9610114ce8 Bump to v1.0.8 2023-07-02 17:04:54 -07:00
Tri Dao
62e9814466 [Rotary] Make sure frequency calculation is in fp32 2023-07-02 16:39:39 -07:00
ljss
8e44c0eefb
Fix a bug 2023-06-02 13:46:19 +08:00
Tri Dao
85b51d61ee Bump version to 1.0.7 2023-05-30 14:18:44 -07:00
Tri Dao
48bc6eacd6 [Gen] Add rotary base as an argument to FT attention kernel 2023-05-30 13:38:34 -07:00
Kirthi Shankar Sivamani
dd9c3a1fc2 bump to v1.0.6 
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
 2023-05-26 17:44:10 -07:00
Max H. Gerlach
31f78a9814 Allow adding an optional local version to the package version 2023-05-19 17:27:41 +02:00
Federico Berto
69f5f7d0a2 [BugFix] cannot unpack non-iterable NoneType object 2023-05-07 03:07:44 +09:00
Federico Berto
3889ba168b [BugFix] cannot unpack non-iterable NoneType object 2023-05-07 03:07:30 +09:00
Tri Dao
a9a4b4e4f2 [LLaMa] Fix last norm layer to use RMSNorm instead of LayerNorm 2023-05-04 23:39:43 -07:00
Tri Dao
fcab93b43a [Gen] Minor tweak to allocate_inference_cache 2023-04-21 11:56:47 -07:00
Tri Dao
ba2fe7f378 [Gen] Move allocate_inference_cache to within the model 2023-04-20 18:15:12 -07:00
Tri Dao
3da42d24b1 [GPT] Add option to only return the logit for the last token 2023-04-20 17:21:08 -07:00
Tri Dao
311d6606bf [Gen] Fix FT kernel smem size, CG when batch size changed 2023-04-20 17:03:13 -07:00
Tri Dao
96d10f6545 Implement LLaMa 2023-04-18 21:51:35 -07:00
Tri Dao
b630aef53f Implement GatedMlp 2023-04-18 03:37:14 -07:00
Tri Dao
ac3b684cdb Have a separate nn.Dropout module in SelfAttention module 2023-04-17 22:34:05 -07:00
Kirthi Shankar Sivamani
a0997bc77c
Merge branch 'HazyResearch:main' into enable_cuda_graph_capture 2023-04-14 21:45:37 -07:00
Tri Dao
605655bc66 [Gen] Fix FT kernel when using CG 2023-04-14 16:50:01 -07:00
Kirthi Shankar Sivamani
081c2b012a
Merge branch 'HazyResearch:main' into enable_cuda_graph_capture 2023-04-13 19:36:45 -07:00
Tri Dao
1c9ef9b399 [Gen] Measure prompt processing + decoding time, not just decoding 2023-04-13 15:39:56 -07:00
Tri Dao
6f6e9a9aaf [FusedDense] Enable sqrelu activation in FusedMLP 2023-04-13 15:29:32 -07:00
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
315fd31f0c
Merge branch 'HazyResearch:main' into enable_cuda_graph_capture 2023-04-12 22:42:24 -07:00
Zhiyuan Chen
8c42415664
make mlp hidden_features defaults to 4*in_features 2023-04-13 11:08:21 +08:00
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
d6fc860573
Merge pull request #147 from ksivaman/add_deterministic_execution_option 
Add option for deterministic execution
 2023-03-31 17:32:50 -04:00
Tri Dao
393882bc08 [LayerNorm] Implement LN with parallel residual, support dim 8k 2023-03-31 14:23:45 -07:00
Kirthi Shankar Sivamani
b6aa059bbf Add option for deterministic execution 2023-03-30 18:23:35 -07:00
Tri Dao
993d12448e Implement GPT-NeoX 2023-03-29 01:21:25 -07:00
Tri Dao
f5d0fbd468 [FT] Fix FT's single query attention for bf16 hdim128 rotary 2023-03-28 21:27:00 -07:00
Tri Dao
4d87e4d875 Implement GPT-J 2023-03-22 16:16:58 -07:00
Tri Dao
5d079fdd7a [Triton] Fix benchmark_causal, mention Triton version 2023-03-22 00:51:16 -07:00
Tri Dao
dc08ea1c33 Support H100 for other CUDA extensions 2023-03-15 16:59:27 -07:00
Vik Paruchuri
3165398074 Remove unused kwargs in flashattention 2023-03-15 10:36:19 -07:00
Tri Dao
e45a46a5b7 [Rotary] Implement GPT-J style (interleaved) rotary 2023-03-14 14:35:53 -07:00
Tri Dao
78b7a1dc18 [OPT] Load fp16 weights on CPU before moving to GPU 2023-01-22 17:01:32 -08:00
Tri Dao
eb33e587e9 [LayerNorm] Rename x1 -> residual 2023-01-19 13:07:27 -08:00
Tri Dao
f68d41ec77 [Gen] Add OPT to generation test 2023-01-17 19:59:06 -08:00
Tri Dao
88173a1aaf [FusedDense] Support relu, rename FusedDenseGeluDense -> FusedMLP 2023-01-17 18:12:27 -08:00
Tri Dao
780e8eeabb [ViT] Support timm checkpoint, add tests 2023-01-16 01:20:34 -08:00
Tri Dao
2ec7d3f72c
Merge pull request #105 from jamaliki/patch-1 
Change default dropout value in documentation
 2023-01-15 23:01:20 -08:00
Tri Dao
ef085cfcda [ViT] Fix extra norm_0, use new LN order in Block 2023-01-15 22:58:56 -08:00
Tri Dao
ff34123bd4 Reorder LN in Block, support OPT 2023-01-15 22:14:31 -08:00
Tri Dao
7c2191542a [Gen] Make generation work with Tensor Parallel 2023-01-15 11:34:27 -08:00
Kiarash Jamali
41cb909741
Change default dropout value in documentation 
Documentation says default is 0.1, but the code has attention_dropout default at 0.0
 2023-01-13 10:50:07 +00:00
Tri Dao
f95c2fc108 [Gen] Remove commented code 2023-01-07 19:06:39 -08:00
Tri Dao
b48599002a [Gen] Add timing option 2023-01-07 19:05:09 -08:00
Tri Dao
0938298e4c [Gen] Adjust shape of kv_cache when using FT 2023-01-07 17:27:54 -08:00
Tri Dao
e02fd588aa [Gen] Implement top-k and top-p sampling 2023-01-07 17:00:02 -08:00
Tri Dao
11be742aa3 [Gen] Test generation with rotary embedding 2023-01-07 14:37:54 -08:00
Tri Dao
8d9674ed08
Merge pull request #102 from Lamikins/main 
fixed cross attention typeerror
 2023-01-07 13:56:20 -08:00
Tri Dao
93383bd55b [TP] Implement TensorParallel without sequence parallel 2023-01-07 13:45:22 -08:00
Darius Lam
aec35fd67c fixed cross attention typeerror 2023-01-07 12:58:41 -08:00
Tri Dao
6738d9477d [LayerNorm] Implement RMS Norm 2023-01-06 17:34:22 -08:00