0310b76e9d
Merge branch 'main' into sync/main
2024-03-04 10:09:36 +08:00
600881a8ea
[Inference]Add CUDA KVCache Kernel ( #5406 )
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* add cuda KVCache kernel
* annotation benchmark_kvcache_copy
* add use cuda
* fix import path
* move benchmark scripts to example/
* rm benchmark codes in test_kv_cache_memcpy.py
* rm redundancy codes
* rm redundancy codes
* pr was modified according to the review
2024-02-28 14:36:50 +08:00
0a25e16e46
[shardformer]gather llama logits ( #5398 )
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* gather llama logits
* fix
2024-02-27 22:44:07 +08:00
bf34c6fef6
[fsdp] impl save/load shard model/optimizer ( #5357 )
2024-02-27 13:51:14 +08:00
bc1da87366
[Fix/Inference] Fix format of input prompts and input model in inference engine ( #5395 )
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* Fix bugs in inference_engine
* fix bugs in engine.py
* rm CUDA_VISIBLE_DEVICES
* add request_ids in generate
* fix bug in engine.py
* add logger.debug for BatchBucket
2024-02-23 10:51:35 +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
5d380a1a21
[hotfix] Fix wrong import in meta_registry ( #5392 )
2024-02-20 19:24:43 +08:00
b21aac5bae
[Inference] Optimize and Refactor Inference Batching/Scheduling ( #5367 )
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* add kvcache manager funcs for batching
* add batch bucket for batching
* revise RunningList struct in handler
* add kvcache/batch funcs for compatibility
* use new batching methods
* fix indexing bugs
* revise abort logic
* use cpu seq lengths/block tables
* rm unused attr in Sequence
* fix type conversion/default arg
* add and revise pytests
* revise pytests, rm unused tests
* rm unused statements
* fix pop finished indexing issue
* fix: use index in batch when retrieving inputs/update seqs
* use dict instead of odict in batch struct
* arg type hinting
* fix make compress
* refine comments
* fix: pop_n_seqs to pop the first n seqs
* add check in request handler
* remove redundant conversion
* fix test for request handler
* fix pop method in batch bucket
* fix prefill adding
2024-02-19 17:18:20 +08:00
7303801854
[llama] fix training and inference scripts ( #5384 )
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* [llama] refactor inference example to fit sft
* [llama] fix training script to fit gemini
* [llama] fix inference script
2024-02-19 16:41:04 +08:00
efef43b53c
Merge pull request #5372 from hpcaitech/exp/mixtral
2024-02-08 16:30:05 +08:00
8c69debdc7
[Inference]Support vllm testing in benchmark scripts ( #5379 )
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* add vllm benchmark scripts
* fix code style
* update run_benchmark.sh
* fix code style
2024-02-08 15:27:26 +08:00
4c03347fc7
Merge pull request #5377 from hpcaitech/example/llama-npu
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[llama] support npu for Colossal-LLaMA-2
2024-02-08 14:12:11 +08:00
9afa52061f
[inference] refactored config ( #5376 )
2024-02-08 14:04:14 +08:00
06db94fbc9
[moe] fix tests
2024-02-08 12:46:37 +08:00
da39d21b71
[moe] support mixtral ( #5309 )
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* [moe] add mixtral block for single expert
* [moe] mixtral block fwd support uneven ep
* [moe] mixtral block bwd support uneven ep
* [moe] add mixtral moe layer
* [moe] simplify replace
* [meo] support save sharded mixtral
* [meo] support load sharded mixtral
* [meo] support save sharded optim
* [meo] integrate moe manager into plug
* [meo] fix optimizer load
* [meo] fix mixtral layer
2024-02-07 19:21:02 +08:00
c904d2ae99
[moe] update capacity computing ( #5253 )
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* [moe] top2 allow uneven input
* [moe] update capacity computing
* [moe] remove debug info
* [moe] update capacity computing
* [moe] update capacity computing
2024-02-07 19:21:02 +08:00
7d8e0338a4
[moe] init mixtral impl
2024-02-07 19:21:02 +08:00
1f8c7e7046
[Inference] User Experience: update the logic of default tokenizer and generation config. ( #5337 )
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* add
* fix
* fix
* pause
* fix
* fix pytest
* align
* fix
* license
* fix
* fix
* fix readme
* fix some bugs
* remove tokenizer config
2024-02-07 17:55:48 +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
58740b5f68
[inference] added inference template ( #5375 )
2024-02-07 17:11:43 +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
1dedb57747
[Fix/Infer] Remove unused deps and revise requirements ( #5341 )
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* remove flash-attn dep
* rm padding llama
* revise infer requirements
* move requirements out of module
2024-02-06 17:27:45 +08:00
c53ddda88f
[lr-scheduler] fix load state dict and add test ( #5369 )
2024-02-06 14:23:32 +08:00
eb4f2d90f9
[llama] polish training script and fix optim ckpt ( #5368 )
2024-02-06 11:52:17 +08:00
6c0fa7b9a8
[llama] fix dataloader for hybrid parallel ( #5358 )
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* [plugin] refactor prepare dataloader
* [plugin] update train script
2024-02-05 15:14:56 +08:00
2dd01e3a14
[gemini] fix param op hook when output is tuple ( #5355 )
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* [gemini] fix param op hook when output is tuple
* [gemini] fix param op hook
2024-02-04 11:58:26 +08:00
631862f339
[Inference]Optimize generation process of inference engine ( #5356 )
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* opt inference engine
* fix run_benchmark.sh
* fix generate in engine.py
* rollback tesh_inference_engine.py
2024-02-02 15:38:21 +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
1c790c0877
[fix] remove unnecessary dp_size assert ( #5351 )
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* fix: remove unnecessary assert
* test: add more 3d plugin tests
* fix: add warning
2024-02-02 14:40:20 +08:00
027aa1043f
[doc] updated inference readme ( #5343 )
2024-02-02 14:31:10 +08:00
db1a763307
[inference] removed redundancy init_batch ( #5353 )
2024-02-02 11:44:15 +08:00
ffffc32dc7
[checkpointio] fix gemini and hybrid parallel optim checkpoint ( #5347 )
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* [checkpointio] fix hybrid parallel optim checkpoint
* [extension] fix cuda extension
* [checkpointio] fix gemini optimizer checkpoint
* polish code
2024-02-01 16:13:06 +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
f8e456d202
[inference] simplified config verification ( #5346 )
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* [inference] simplified config verification
* polish
* polish
2024-02-01 15:31:01 +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
c565519913
merge commit
2024-01-31 10:41:47 +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
e8f0642f28
[Inference]Add Nopadding Llama Modeling ( #5327 )
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* add nopadding llama modeling
* add nopadding_llama.py
* rm unused codes
* fix bugs in test_xine_copy.py
* fix code style
2024-01-30 10:31:46 +08:00
71321a07cf
fix typo change dosen't to doesn't ( #5308 )
2024-01-30 09:57:38 +08:00
388179f966
[tests] fix t5 test. ( #5322 )
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* [ci] fix shardformer tests. (#5255 )
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* fix t5 test
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-29 17:38:46 +08:00
c7c104cb7c
[DOC] Update inference readme ( #5280 )
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* add readme
* add readme
* 1
* update engine
* finish readme
* add readme
2024-01-29 16:21:06 +08:00
087d0cb1fc
[accelerator] fixed npu api
2024-01-29 14:27:52 +08:00
8823cc4831
Merge pull request #5310 from hpcaitech/feature/npu
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Feature/npu
2024-01-29 13:49:39 +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
7cfed5f076
[feat] refactored extension module ( #5298 )
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* [feat] refactored extension module
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
2024-01-25 17:01:48 +08:00
FrankLeeeee