bd38fe6b91
[NFC] Fix code factors on inference triton kernels ( #5743 )
2024-05-21 22:12:15 +08:00
537a3cbc4d
[kernel] Support New KCache Layout - Triton Kernel ( #5677 )
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* kvmemcpy triton for new kcache layout
* revise tests for new kcache layout
* naive triton flash decoding - new kcache layout
* rotary triton kernel - new kcache layout
* remove redundancy - triton decoding
* remove redundancy - triton kvcache copy
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-05-03 17:20:45 +08:00
5be590b99e
[kernel] Support new KCache Layout - Context Attention Triton Kernel ( #5658 )
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* add context attn triton kernel - new kcache layout
* add benchmark triton
* tiny revise
* trivial - code style, comment
2024-04-26 17:51:49 +08:00
3c91e3f176
[Inference]Adapt to baichuan2 13B ( #5614 )
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* adapt to baichuan2 13B
* adapt to baichuan2 13B
* change BAICHUAN_MODEL_NAME_OR_PATH
* fix test_decoding_attn.py
* Modifications based on review comments.
* change BAICHUAN_MODEL_NAME_OR_PATH
* mv attn mask processes to test flash decoding
* mv get_alibi_slopes baichuan modeling
* fix bugs in test_baichuan.py
2024-04-25 23:11:30 +08:00
5d4c1fe8f5
[Fix/Inference] Fix GQA Triton and Support Llama3 ( #5624 )
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* [fix] GQA calling of flash decoding triton
* fix kv cache alloc shape
* fix rotary triton - GQA
* fix sequence max length assigning
* Sequence max length logic
* fix scheduling and spec-dec
* skip without import error
* fix pytest - skip without ImportError
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-04-23 13:09:55 +08:00
a37f82629d
[Inference/SpecDec] Add Speculative Decoding Implementation ( #5423 )
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* fix flash decoding mask during verification
* add spec-dec
* add test for spec-dec
* revise drafter init
* remove drafter sampling
* retire past kv in drafter
* (trivial) rename attrs
* (trivial) rename arg
* revise how we enable/disable spec-dec
2024-04-10 11:07:52 +08:00
d63c469f45
[Infer] Revise and Adapt Triton Kernels for Spec-Dec ( #5401 )
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* [Infer/Fix] Fix Dependency in test - RMSNorm kernel (#5399 )
fix dependency in pytest
* resolve conflicts for revising flash-attn
* adapt kv cache copy kernel for spec-dec
* fix seqlen-n kvcache copy kernel/tests
* test kvcache copy - use torch.equal
* add assertions
* (trivial) comment out
2024-04-10 11:07:51 +08:00
7ca1d1c545
remove outdated triton test
2024-04-08 17:00:55 +08:00
ce9401ad52
remove unused triton kernels
2024-04-08 16:25:12 +08:00
ed5ebd1735
[Fix] resolve conflicts of merging main
2024-04-08 16:21:47 +08:00
641b1ee71a
[devops] remove post commit ci ( #5566 )
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* [devops] remove post commit ci
* [misc] run pre-commit on all files
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-04-08 15:09:40 +08:00
b2c0d9ff2b
[fix] multi graphs capture error
2024-03-11 10:49:31 +08:00
cefaeb5fdd
[feat] cuda graph support and refactor non-functional api
2024-03-08 14:19:35 +08:00
2a718c8be8
Optimized the execution interval time between cuda kernels caused by view and memcopy ( #5390 )
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* opt_view_and_memcopy
* fix bugs in ci
* fix ci bugs
* update benchmark scripts
* fix ci bugs
2024-02-21 13:23:57 +08:00
730103819d
[Inference]Fused kv copy into rotary calculation ( #5383 )
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* revise rotary embedding
* remove useless print
* adapt
* fix
* add
* fix
* modeling
* fix
* fix
* fix
* fused kv copy
* fused copy
* colossalai/kernel/triton/no_pad_rotary_embedding.py
* del padding llama
* del
2024-02-21 11:31:48 +08:00
6fb4bcbb24
[Inference/opt] Fused KVCahce Memcopy ( #5374 )
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* fused kv memcopy
* add TODO in test_kvcache_copy.py
2024-02-07 17:15:42 +08:00
8106ede07f
Revert "[Inference] Adapt to Fused rotary ( #5348 )" ( #5373 )
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This reverts commit 9f4ab2eb92
2024-02-07 14:27:04 +08:00
9f4ab2eb92
[Inference] Adapt to Fused rotary ( #5348 )
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* revise rotary embedding
* remove useless print
* adapt
* fix
* add
* fix
* modeling
* fix
* fix
* fix
2024-02-07 11:36:04 +08:00
35382a7fbf
[Inference]Fused the gate and up proj in mlp，and optimized the autograd process. ( #5365 )
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* fused the gate and up proj in mlp
* fix code styles
* opt auto_grad
* rollback test_inference_engine.py
* modifications based on the review feedback.
* fix bugs in flash attn
* Change reshape to view
* fix test_rmsnorm_triton.py
2024-02-06 19:38:25 +08:00
21ad4a27f9
[Inference/opt]Optimize the mid tensor of RMS Norm ( #5350 )
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* opt rms_norm
* fix bugs in rms_layernorm
2024-02-02 15:06:01 +08:00
249644c23b
[Inference]Repalce Attention layer and MLP layer by shardformer to optimize the weight transpose operation，add fused_qkv and fused linear_add ( #5340 )
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* add fused qkv
* replace attn and mlp by shardformer
* fix bugs in mlp
* add docstrings
* fix test_inference_engine.py
* add optimize unbind
* add fused_addmm
* rm squeeze(1)
* refactor codes
* fix ci bugs
* rename ShardFormerLlamaMLP and ShardFormerLlamaAttention
* Removed the dependency on LlamaFlashAttention2
* rollback test_inference_engine.py
2024-02-01 15:49:39 +08:00
df0aa49585
[Inference] Kernel Fusion, fused copy kv cache into rotary embedding ( #5336 )
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* revise rotary embedding
* remove useless print
* adapt
2024-01-31 16:31:29 +08:00
5f98a9d68a
[Infer] Optimize Blocked KVCache And Kernels Using It ( #5325 )
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* revise shape of kvcache (context attn kernel)
* revise shape of kvcache (flash decoding kernel)
* revise shape of kvcache (kvcache copy) and attn func
* init of kvcache in kvcache manager
* revise llama modeling
* revise block size retrieval
* use torch for rms_norm benchmarking
* revise block size retrieval
2024-01-30 16:06:09 +08:00
1f8a75d470
[Inference] Update rms norm kernel, benchmark with vLLM ( #5315 )
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* add
* xi
* del
* del
* fix
2024-01-29 10:22:33 +08:00
7ddd8b37f0
fix ( #5311 )
2024-01-26 15:02:12 +08:00
4f28cb43c0
[inference]Optimize the usage of the mid tensors space in flash attn ( #5304 )
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* opt flash attn
* opt tmp tensor
* fix benchmark_llama
* fix code style
* fix None logic for output tensor
* fix adapted to get_xine_cache
* add comment
* fix ci bugs
* fix some codes
* rm duplicated codes
* rm duplicated codes
* fix code style
* add _get_dtype in config.py
2024-01-26 14:00:10 +08:00
af8359c430
[hotfix] fix boundary check in batch ( #5306 )
2024-01-25 10:23:12 +08:00
c647e00e3c
[Inference]Add fused rotary kernel and get cos cache kernel ( #5302 )
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* add fused rotary and get cos cache func
* staged
* fix bugs
* fix bugs
2024-01-24 16:20:42 +08:00
3da9993b0d
[Kernel/Fix] Revise flash attention triton kernel API and add benchmark ( #5301 )
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* fix decoding kernel pytest
* revise and add triton context attn benchmark
2024-01-23 17:16:02 +08:00
bfff9254ac
[inference] Adapted to Rotary Embedding and RMS Norm ( #5283 )
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* adapted to rotary_embedding
* adapted to nopad rms norm
* fix bugs in benchmark
* fix flash_decoding.py
2024-01-22 10:55:34 +08:00
6e487e7d3c
[kernel/fix] Performance Optimization for Decoding Kernel and Benchmarking ( #5274 )
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* prevent re-creating intermediate tensors
* add singleton class holding intermediate values
* fix triton kernel api
* add benchmark in pytest
* fix kernel api and add benchmark
* revise flash decoding triton kernel in/out shapes
* fix calling of triton kernel in modeling
* fix pytest: extract to util functions
2024-01-19 15:47:16 +08:00
5ae9099f92
[kernel] Add RMSLayerNorm triton kernel ( #5262 )
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* add layerrmsnorm triton kernel
* add layerrmsnorm kernel
* modify the atol and rtol in test file
* Remove the logics of mean computations, and update the name of ther kernel functions and files
* add benchmark of rms norm
2024-01-18 10:21:03 +08:00
0f2b46a41c
[kernel] Revise KVCache copy triton kernel API ( #5273 )
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* [kernel/fix] revise kvcache copy kernel api
* fix benchmark
2024-01-16 14:41:02 +08:00
fa85e02b3b
[kernel] Add KV cache copy kernel during decoding ( #5261 )
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* add kv copy triton kernel during decoding stage
* add pytest and fix kernel
* fix test utilities
* revise kernel config
* add benchmark for kvcache copy
2024-01-15 17:37:20 +08:00
1513f20f4d
[kernel] Add flash decoding triton kernel for blocked kv cache ( #5249 )
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* add flash decoding unpad triton kernel
* rename flash decoding kernel
* add kernel testing (draft)
* revise pytest
* support kv group (GQA)
* (trivial) fix api and pytest
* (trivial) func renaming
* (trivial) func/file renaming
* refactor pytest for attention
* (trivial) format and consistent vars of context/decode attn
* (trivial) remove test redundancy
2024-01-11 13:46:14 +00:00
fded91d049
[Inference] Kernel: no pad rotary embedding ( #5252 )
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* fix bugs
* comment
* use more accurate atol
* fix
2024-01-11 13:46:14 +00:00
07b5283b6a
[kernel] Add triton kernel for context attention (FAv2) without padding ( #5192 )
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* add context attn unpadded triton kernel
* test compatibility
* kv cache copy (testing)
* fix k/v cache copy
* fix kv cache copy and test
* fix boundary of block ptrs
* add support for GQA/MQA and testing
* fix import statement
---------
Co-authored-by: Round Heng <yuanhengzhao@Rounds-MacBook-Pro.local>
2024-01-11 13:39:56 +00:00
2bb92243d4
[Inference/NFC] Clean outdated inference tests and deprecated kernels ( #5159 )
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* [inference/nfc] remove outdated inference tests
* remove outdated kernel tests
* remove deprecated triton kernels
* remove imports from deprecated kernels
2024-01-11 13:39:29 +00:00
bce919708f
[Kernels]added flash-decoidng of triton ( #5063 )
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* added flash-decoidng of triton based on lightllm kernel
* add req
* clean
* clean
* delete build.sh
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
2023-11-20 13:58:29 +08:00
28052a71fb
[Kernels]Update triton kernels into 2.1.0 ( #5046 )
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* update flash-context-attention
* adding kernels
* fix
* reset
* add build script
* add building process
* add llama2 exmaple
* add colossal-llama2 test
* clean
* fall back test setting
* fix test file
* clean
* clean
* clean
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
2023-11-16 16:43:15 +08:00
dc003c304c
[moe] merge moe into main ( #4978 )
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* update moe module
* support openmoe
2023-11-02 02:21:24 +00:00
459a88c806
[Kernels]Updated Triton kernels into 2.1.0 and adding flash-decoding for llama token attention ( #4965 )
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* adding flash-decoding
* clean
* adding kernel
* adding flash-decoding
* add integration
* add
* adding kernel
* adding kernel
* adding triton 2.1.0 features for inference
* update bloom triton kernel
* remove useless vllm kernels
* clean codes
* fix
* adding files
* fix readme
* update llama flash-decoding
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
2023-10-30 14:04:37 +08:00
cf579ff46d
[Inference] Dynamic Batching Inference, online and offline ( #4953 )
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* [inference] Dynamic Batching for Single and Multiple GPUs (#4831 )
* finish batch manager
* 1
* first
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [inference] Async dynamic batching (#4894 )
* finish input and output logic
* add generate
* test forward
* 1
* [inference]Re push async dynamic batching (#4901 )
* adapt to ray server
* finish async
* finish test
* del test
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* Revert "[inference]Re push async dynamic batching (#4901 )" (#4905 )
This reverts commit fbf3c09e67#4894 )"
This reverts commit fced140250#4894 )" (#4909 )
This reverts commit fced140250#4911 )
* Revert "[inference] Async dynamic batching (#4894 )"
This reverts commit fced140250#4935 )
* infer engine
* infer engine
* test engine
* test engine
* new manager
* change step
* add
* test
* fix
* fix
* finish test
* finish test
* finish test
* finish test
* add license
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* add assertion for config (#4947 )
* [Inference] Finish dynamic batching offline test (#4948 )
* test
* fix test
* fix quant
* add default
* fix
* fix some bugs
* fix some bugs
* fix
* fix bug
* fix bugs
* reset param
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2023-10-30 10:52:19 +08:00
785802e809
[inference] add reference and fix some bugs ( #4937 )
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* add reference and fix some bugs
* update gptq init
---------
Co-authored-by: Xu Kai <xukai16@foxamil.com>
2023-10-20 13:39:34 +08:00
3a41e8304e
[Refactor] Integrated some lightllm kernels into token-attention ( #4946 )
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* add some req for inference
* clean codes
* add codes
* add some lightllm deps
* clean codes
* hello
* delete rms files
* add some comments
* add comments
* add doc
* add lightllm deps
* add lightllm cahtglm2 kernels
* add lightllm cahtglm2 kernels
* replace rotary embedding with lightllm kernel
* add some commnets
* add some comments
* add some comments
* add
* replace fwd kernel att1
* fix a arg
* add
* add
* fix token attention
* add some comments
* clean codes
* modify comments
* fix readme
* fix bug
* fix bug
---------
Co-authored-by: cuiqing.li <lixx336@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
2023-10-19 22:22:47 +08:00
611a5a80ca
[inference] Add smmoothquant for llama ( #4904 )
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* [inference] add int8 rotary embedding kernel for smoothquant (#4843 )
* [inference] add smoothquant llama attention (#4850 )
* add smoothquant llama attention
* remove uselss code
* remove useless code
* fix import error
* rename file name
* [inference] add silu linear fusion for smoothquant llama mlp (#4853 )
* add silu linear
* update skip condition
* catch smoothquant cuda lib exception
* prcocess exception for tests
* [inference] add llama mlp for smoothquant (#4854 )
* add llama mlp for smoothquant
* fix down out scale
* remove duplicate lines
* add llama mlp check
* delete useless code
* [inference] add smoothquant llama (#4861 )
* add smoothquant llama
* fix attention accuracy
* fix accuracy
* add kv cache and save pretrained
* refactor example
* delete smooth
* refactor code
* [inference] add smooth function and delete useless code for smoothquant (#4895 )
* add smooth function and delete useless code
* update datasets
* remove duplicate import
* delete useless file
* refactor codes (#4902 )
* rafactor code
* add license
* add torch-int and smoothquant license
2023-10-16 11:28:44 +08:00
77a9328304
[inference] add llama2 support ( #4898 )
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* add llama2 support
* fix multi group bug
2023-10-13 13:09:23 +08:00
013a4bedf0
[inference]fix import bug and delete down useless init ( #4830 )
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* fix import bug and release useless init
* fix
* fix
* fix
2023-10-04 09:18:45 +08:00
c3bef20478
add autotune ( #4822 )
2023-09-28 13:47:35 +08:00
ce7ade3882
[inference] chatglm2 infer demo ( #4724 )
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* add chatglm2
* add
* gather needed kernels
* fix some bugs
* finish context forward
* finish context stage
* fix
* add
* pause
* add
* fix bugs
* finish chatglm
* fix bug
* change some logic
* fix bugs
* change some logics
* add
* add
* add
* fix
* fix tests
* fix
2023-09-22 11:12:50 +08:00
Yuanheng Zhao