e614aa34f3
[shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama ( #5508 )
...
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`
* feat: apply `GradientCheckpointConfig` to policy and llama_forward
* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager
* fix: add optional args for `distribute_layer` and `get_stage_index`
* fix: fix changed API calls
* test: update llama tests
* style: polish `GradientCheckpointConfig`
* fix: fix pipeline utils tests
2024-04-01 11:34:58 +08:00
36c4bb2893
[Fix] Grok-1 use tokenizer from the same pretrained path ( #5532 )
...
* [fix] use tokenizer from the same pretrained path
* trust remote code
2024-03-28 16:30:04 +08:00
934e31afb2
The writing style of tail processing and the logic related to macro definitions have been optimized. ( #5519 )
2024-03-28 10:42:51 +08:00
00525f7772
[shardformer] fix pipeline forward error if custom layer distribution is used ( #5189 )
...
* Use self.[distribute_layers|get_stage_index] to exploit custom layer distribution
* Change static methods for t5 layer distribution to member functions
* Change static methods for whisper layer distribution to member functions
* Replace whisper policy usage with self one
* Fix test case to use non-static layer distribution methods
* fix: fix typo
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-03-27 13:57:00 +08:00
131f32a076
[fix] fix grok-1 example typo ( #5506 )
2024-03-26 10:19:42 +08:00
34e909256c
[release] grok-1 inference benchmark ( #5500 )
...
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
* [release] grok-1 inference benchmark
2024-03-25 14:42:51 +08:00
87079cffe8
[Inference]Support FP16/BF16 Flash Attention 2 And Add high_precision Flag To Rotary Embedding ( #5461 )
...
* Support FP16/BF16 Flash Attention 2
* fix bugs in test_kv_cache_memcpy.py
* add context_kv_cache_memcpy_kernel.cu
* rm typename MT
* add tail process
* add high_precision
* add high_precision to config.py
* rm unused code
* change the comment for the high_precision parameter
* update test_rotary_embdding_unpad.py
* fix vector_copy_utils.h
* add comment for self.high_precision when using float32
2024-03-25 13:40:34 +08:00
bb0a668fee
[hotfix] set return_outputs=False in examples and polish code ( #5404 )
...
* fix: simplify merge_batch
* fix: use return_outputs=False to eliminate extra memory consumption
* feat: add return_outputs warning
* style: remove `return_outputs=False` as it is the default value
2024-03-25 12:31:09 +08:00
5fcd7795cd
[example] update Grok-1 inference ( #5495 )
...
* revise grok-1 example
* remove unused arg in scripts
* prevent re-installing torch
* update readme
* revert modifying colossalai requirements
* add perf
* trivial
* add tokenizer url
2024-03-24 20:24:11 +08:00
6df844b8c4
[release] grok-1 314b inference ( #5490 )
...
* [release] grok-1 inference
* [release] grok-1 inference
* [release] grok-1 inference
2024-03-22 15:48:12 +08:00
848a574c26
[example] add grok-1 inference ( #5485 )
...
* [misc] add submodule
* remove submodule
* [example] support grok-1 tp inference
* [example] add grok-1 inference script
* [example] refactor code
* [example] add grok-1 readme
* [exmaple] add test ci
* [exmaple] update readme
2024-03-21 18:07:22 +08:00
f366a5ea1f
[Inference/kernel]Add Fused Rotary Embedding and KVCache Memcopy CUDA Kernel ( #5418 )
...
* add rotary embedding kernel
* add rotary_embedding_kernel
* add fused rotary_emb and kvcache memcopy
* add fused_rotary_emb_and_cache_kernel.cu
* add fused_rotary_emb_and_memcopy
* fix bugs in fused_rotary_emb_and_cache_kernel.cu
* fix ci bugs
* use vec memcopy and opt the gloabl memory access
* fix code style
* fix test_rotary_embdding_unpad.py
* codes revised based on the review comments
* fix bugs about include path
* rm inline
2024-03-13 17:20:03 +08:00
385e85afd4
[hotfix] fix typo s/keywrods/keywords etc. ( #5429 )
2024-03-12 11:25:16 +08:00
f7aecc0c6b
feat rmsnorm cuda kernel and add unittest, benchmark script ( #5417 )
2024-03-08 16:21:12 +08:00
68f55a709c
[hotfix] fix stable diffusion inference bug. ( #5289 )
...
* Update train_ddp.yaml
delete "strategy" to fix DDP config loading bug in "main.py"
* Update train_ddp.yaml
fix inference with scripts/txt2img.py config file load bug.
* Update README.md
add pretrain model test code.
2024-03-05 22:03:40 +08:00
e239cf9060
[hotfix] fix typo of openmoe model source ( #5403 )
2024-03-05 21:44:38 +08:00
e304e4db35
[hotfix] fix sd vit import error ( #5420 )
...
* fix import error
* Update dpt_depth.py
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
2024-03-05 21:41:23 +08:00
070df689e6
[devops] fix extention building ( #5427 )
2024-03-05 15:35:54 +08:00
29695cf70c
[example]add gpt2 benchmark example script. ( #5295 )
...
* benchmark gpt2
* fix
fix
fix
fix
* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247 )
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
* polish
* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed ddp test (#5254 )
* [ci] fixed ddp test
* polish
* fix typo in applications/ColossalEval/README.md (#5250 )
* [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>
* [doc] fix doc typo (#5256 )
* [doc] fix annotation display
* [doc] fix llama2 doc
* [hotfix]: add pp sanity check and fix mbs arg (#5268 )
* fix: fix misleading mbs arg
* feat: add pp sanity check
* fix: fix 1f1b sanity check
* [workflow] fixed incomplete bash command (#5272 )
* [workflow] fixed oom tests (#5275 )
* [workflow] fixed oom tests
* polish
* polish
* polish
* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276 )
* fix ci
fix
* fix test
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
* fix
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* [shardformer] hybridparallelplugin support gradients accumulation. (#5246 )
* support gradients acc
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
fix
* fix
fix
* fix
fix
fix
* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230 )
* fix auto loading gpt2 tokenizer (#5279 )
* [doc] add llama2-13B disyplay (#5285 )
* Update README.md
* fix 13b typo
---------
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
* fix llama pretrain (#5287 )
* fix
* fix
* fix
fix
* fix
fix
fix
* fix
fix
* benchmark gpt2
* fix
fix
fix
fix
* [workflow] fixed build CI (#5240 )
* [workflow] fixed build CI
* polish
* polish
* polish
* polish
* polish
* [ci] fixed booster test (#5251 )
* [ci] fixed booster test
* [ci] fixed booster test
* [ci] fixed booster test
* fix
fix
* fix
fix
fix
* fix
* fix
fix
fix
fix
fix
* fix
* Update shardformer.py
---------
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: Michelle <97082656+MichelleMa8@users.noreply.github.com>
Co-authored-by: Desperado-Jia <502205863@qq.com>
2024-03-04 16:18:13 +08:00
0310b76e9d
Merge branch 'main' into sync/main
2024-03-04 10:09:36 +08:00
0aa27f1961
[Inference]Move benchmark-related code to the example directory. ( #5408 )
...
* move benchmark-related code to the example directory.
* fix bugs in test_fused_rotary_embedding.py
2024-02-28 16:46:03 +08:00
600881a8ea
[Inference]Add CUDA KVCache Kernel ( #5406 )
...
* 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
d882d18c65
[example] reuse flash attn patch ( #5400 )
2024-02-27 11:22:07 +08:00
bc1da87366
[Fix/Inference] Fix format of input prompts and input model in inference engine ( #5395 )
...
* 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 )
...
* 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 )
...
* 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
8c69debdc7
[Inference]Support vllm testing in benchmark scripts ( #5379 )
...
* add vllm benchmark scripts
* fix code style
* update run_benchmark.sh
* fix code style
2024-02-08 15:27:26 +08:00
8106ede07f
Revert "[Inference] Adapt to Fused rotary ( #5348 )" ( #5373 )
...
This reverts commit 9f4ab2eb92
2024-02-07 14:27:04 +08:00
9f4ab2eb92
[Inference] Adapt to Fused rotary ( #5348 )
...
* revise rotary embedding
* remove useless print
* adapt
* fix
* add
* fix
* modeling
* fix
* fix
* fix
2024-02-07 11:36:04 +08:00
631862f339
[Inference]Optimize generation process of inference engine ( #5356 )
...
* 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 )
...
* 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 )
...
* 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
c565519913
merge commit
2024-01-31 10:41:47 +08:00
71321a07cf
fix typo change dosen't to doesn't ( #5308 )
2024-01-30 09:57:38 +08:00
8823cc4831
Merge pull request #5310 from hpcaitech/feature/npu
...
Feature/npu
2024-01-29 13:49:39 +08:00
4f28cb43c0
[inference]Optimize the usage of the mid tensors space in flash attn ( #5304 )
...
* 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 )
...
* [feat] refactored extension module
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
* polish
2024-01-25 17:01:48 +08:00
bce9499ed3
fix some typo ( #5307 )
2024-01-25 13:56:27 +08:00
bfff9254ac
[inference] Adapted to Rotary Embedding and RMS Norm ( #5283 )
...
* 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
f7e3f82a7e
fix llama pretrain ( #5287 )
2024-01-19 17:49:02 +08:00
9e2342bde2
[Hotfix] Fix bugs in testing continuous batching ( #5270 )
...
* fix bug
* fix bugs
* fix bugs
* fix bugs and add padding
* add funcs and fix bugs
* fix typos
* fix bugs
* add func
2024-01-18 16:31:14 +08:00
148469348a
Merge branch 'main' into sync/npu
2024-01-18 12:05:21 +08:00
86b63f720c
[Inference]Adapted to the triton attn kernels ( #5264 )
...
* adapted to the triton attn kernels
* fix pad input
* adapted to copy_kv_to_blocked_cache
* fix ci test
* update kv memcpy
* remove print
2024-01-17 16:03:10 +08:00
ef4f0ee854
[hotfix]: add pp sanity check and fix mbs arg ( #5268 )
...
* fix: fix misleading mbs arg
* feat: add pp sanity check
* fix: fix 1f1b sanity check
2024-01-15 15:57:40 +08:00
c174c4fc5f
[doc] fix doc typo ( #5256 )
...
* [doc] fix annotation display
* [doc] fix llama2 doc
2024-01-11 21:01:11 +08:00
d202cc28c0
[npu] change device to accelerator api ( #5239 )
...
* update accelerator
* fix timer
* fix amp
* update
* fix
* update bug
* add error raise
* fix autocast
* fix set device
* remove doc accelerator
* update doc
* update doc
* update doc
* use nullcontext
* update cpu
* update null context
* change time limit for example
* udpate
* update
* update
* update
* [npu] polish accelerator code
---------
Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>
2024-01-09 10:20:05 +08:00
dd2c28a323
[npu] use extension for op builder ( #5172 )
...
* update extension
* update cpu adam
* update is
* add doc for cpu adam
* update kernel
* update commit
* update flash
* update memory efficient
* update flash attn
* update flash attention loader
* update api
* fix
* update doc
* update example time limit
* reverse change
* fix doc
* remove useless kernel
* fix
* not use warning
* update
* update
2024-01-08 11:39:16 +08:00
3c0d82b19b
[pipeline]: support arbitrary batch size in forward_only mode ( #5201 )
...
* fix: remove drop last in val & test dataloader
* feat: add run_forward_only, support arbitrary bs
* chore: modify ci script
2024-01-02 23:41:12 +08:00
4fa689fca1
[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp ( #5134 )
...
* test: add more p2p tests
* fix: remove send_forward_recv_forward as p2p op list need to use the same group
* fix: make send and receive atomic
* feat: update P2PComm fn
* feat: add metadata cache in 1f1b
* feat: add metadata cache in interleaved pp
* feat: modify is_xx_stage fn
* revert: add _broadcast_object_list
* feat: add interleaved pp in llama policy
* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
2023-12-22 10:44:00 +08:00
21aa5de00b
[gemini] hotfix NaN loss while using Gemini + tensor_parallel ( #5150 )
...
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
2023-12-08 11:10:51 +08:00
177c79f2d1
[doc] add moe news ( #5128 )
...
* [doc] add moe news
* [doc] add moe news
* [doc] add moe news
2023-11-28 17:44:06 +08:00
7172459e74
[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert ( #5088 )
...
* [shardformer] implement policy for all GPT-J models and test
* [shardformer] support interleaved pipeline parallel for bert finetune
* [shardformer] shardformer support falcon (#4883 )
* [shardformer]: fix interleaved pipeline for bert model (#5048 )
* [hotfix]: disable seq parallel for gptj and falcon, and polish code (#5093 )
* Add Mistral support for Shardformer (#5103 )
* [shardformer] add tests to mistral (#5105 )
---------
Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
2023-11-28 16:54:42 +08:00
d5661f0f25
[nfc] fix typo change directoty to directory ( #5111 )
2023-11-27 18:25:53 +08:00
3acbf6d496
[npu] add npu support for hybrid plugin and llama ( #5090 )
...
* llama 3d
* update
* fix autocast
2023-11-22 19:23:21 +08:00
aae496631c
[shardformer]fix flash attention, when mask is casual, just don't unpad it ( #5084 )
...
* fix flash attn
* fix
fix
2023-11-22 16:00:07 +08:00
1cd7efc520
[inference] refactor examples and fix schedule ( #5077 )
...
* [setup] refactor infer setup
* [hotfix] fix infenrece behavior on 1 1 gpu
* [exmaple] refactor inference examples
2023-11-21 10:46:03 +08:00
4e3959d316
[hotfix/hybridengine] Fix init model with random parameters in benchmark ( #5074 )
...
* fix init model with random parameters
* fix example
2023-11-20 20:15:25 +08:00
8921a73c90
[format] applied code formatting on changed files in pull request 5067 ( #5072 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-11-20 19:46:43 +08:00
fb103cfd6e
[inference] update examples and engine ( #5073 )
...
* update examples and engine
* fix choices
* update example
2023-11-20 19:44:52 +08:00
e5ce4c8ea6
[npu] add npu support for gemini and zero ( #5067 )
...
* [npu] setup device utils (#5047 )
* [npu] add npu device support
* [npu] support low level zero
* [test] update npu zero plugin test
* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052 )
* [npu] refactor device utils
* [gemini] support npu
* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065 )
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
2023-11-20 16:12:41 +08:00
bce919708f
[Kernels]added flash-decoidng of triton ( #5063 )
...
* 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
fd6482ad8c
[inference] Refactor inference architecture ( #5057 )
...
* [inference] support only TP (#4998 )
* support only tp
* enable tp
* add support for bloom (#5008 )
* [refactor] refactor gptq and smoothquant llama (#5012 )
* refactor gptq and smoothquant llama
* fix import error
* fix linear import torch-int
* fix smoothquant llama import error
* fix import accelerate error
* fix bug
* fix import smooth cuda
* fix smoothcuda
* [Inference Refactor] Merge chatglm2 with pp and tp (#5023 )
merge chatglm with pp and tp
* [Refactor] remove useless inference code (#5022 )
* remove useless code
* fix quant model
* fix test import bug
* mv original inference legacy
* fix chatglm2
* [Refactor] refactor policy search and quant type controlling in inference (#5035 )
* [Refactor] refactor policy search and quant type controling in inference
* [inference] update readme (#5051 )
* update readme
* update readme
* fix architecture
* fix table
* fix table
* [inference] udpate example (#5053 )
* udpate example
* fix run.sh
* fix rebase bug
* fix some errors
* update readme
* add some features
* update interface
* update readme
* update benchmark
* add requirements-infer
---------
Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
2023-11-19 21:05:05 +08:00
bc09b95f50
[exampe] fix llama example' loss error when using gemini plugin ( #5060 )
...
fix llama example
2023-11-18 18:41:58 +08:00
b2ad0d9e8f
[pipeline,shardformer] Fix p2p efficiency in pipeline, allow skipping loading weight not in weight_map when `strict=False`, fix llama flash attention forward, add flop estimation by megatron in llama benchmark ( #5017 )
...
* Use p2p
* Cannot bidirectonal send p2p
* Refactor tensor creation and serialization in P2P
communication
* Fix llama forward args in flash attention
* Add flop estimate from megatron
* Support loading weight not in weight_map when strict=False in hybrid_parallel
* Use send_forward_recv_backward, etc in 1f1b
* Use dataclass for metdata
Remove torch.cuda.synchronize() as suggested
* Add comment about the torch.cuda.synchronize for potential error
* Typo
* Update hybrid_parallel_checkpoint_io.py
* Update p2p.py
* Update one_f_one_b.py
* Update p2p.py
---------
Co-authored-by: flybird11111 <1829166702@qq.com>
2023-11-16 20:15:59 +08:00
28052a71fb
[Kernels]Update triton kernels into 2.1.0 ( #5046 )
...
* 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
70885d707d
[hotfix] Suport extra_kwargs in ShardConfig ( #5031 )
...
* [refactor]: replace inference args with extra_kwargs in ShardConfig
* modify shardconfig
* polish code
* fix policy bug in llama
* fix bug in auto policy
* remove setattr in ShardConfig
2023-11-10 10:49:50 +08:00
724441279b
[moe]: fix ep/tp tests, add hierarchical all2all ( #4982 )
...
* fix: add warning for EP different behavior
* fix: use shard_data in ep & tp model
* to: add used_capacity
* fix: fix router test
* feat: add create_ep_node_group
* feat: add create_ep_hierarchical_group fn
* feat: add HierarchicalAllToAll
* test: add hierarchical all2all test
* fix: fix test errors
* fix: simplify create_ep_hierarchical_group
* fix: add hierarchical_alltoall arg
* fix: fix environ typo
* revert: revert process mesh order
* to: add todo mark
* fix: skip hierarchical_comm if torch < 1.13.1
2023-11-09 06:31:00 +00:00
f71e63b0f3
[moe] support optimizer checkpoint ( #5015 )
...
* Refactor MoE Manager setup method
* unshard optim ckpt
* optim io
* update transformer version
* update requirements
* update ckpt
* update ckpt
* update ckpt
* fix engine
* fix engine
2023-11-08 15:07:03 +00:00
dc003c304c
[moe] merge moe into main ( #4978 )
...
* 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 )
...
* 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
4e4a10c97d
updated c++17 compiler flags ( #4983 )
2023-10-27 18:19:56 +08:00
c6cd629e7a
[Inference]ADD Bench Chatglm2 script ( #4963 )
...
* add bench chatglm
* fix bug and make utils
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2023-10-24 13:11:15 +08:00
785802e809
[inference] add reference and fix some bugs ( #4937 )
...
* 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 )
...
* 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 )
...
* [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
8aed02b957
[nfc] fix minor typo in README ( #4846 )
2023-10-07 17:51:11 +08:00
d1fcc0fa4d
[infer] fix test bug ( #4838 )
...
* fix test bug
* delete useless code
* fix typo
2023-10-04 10:01:03 +08:00
013a4bedf0
[inference]fix import bug and delete down useless init ( #4830 )
...
* fix import bug and release useless init
* fix
* fix
* fix
2023-10-04 09:18:45 +08:00
573f270537
[Infer] Serving example w/ ray-serve (multiple GPU case) ( #4841 )
...
* fix imports
* add ray-serve with Colossal-Infer tp
* trivial: send requests script
* add README
* fix worker port
* fix readme
* use app builder and autoscaling
* trivial: input args
* clean code; revise readme
* testci (skip example test)
* use auto model/tokenizer
* revert imports fix (fixed in other PRs)
2023-10-02 17:48:38 +08:00
3a74eb4b3a
[Infer] Colossal-Inference serving example w/ TorchServe (single GPU case) ( #4771 )
...
* add Colossal-Inference serving example w/ TorchServe
* add dockerfile
* fix dockerfile
* fix dockerfile: fix commit hash, install curl
* refactor file structure
* revise readme
* trivial
* trivial: dockerfile format
* clean dir; revise readme
* fix comments: fix imports and configs
* fix formats
* remove unused requirements
2023-10-02 17:42:37 +08:00
822051d888
[doc] update slack link ( #4823 )
2023-09-27 17:37:39 +08:00
26cd6d850c
[fix] fix weekly runing example ( #4787 )
...
* [fix] fix weekly runing example
* [fix] fix weekly runing example
2023-09-25 16:19:33 +08:00
946ab56c48
[feature] add gptq for inference ( #4754 )
...
* [gptq] add gptq kernel (#4416 )
* add gptq
* refactor code
* fix tests
* replace auto-gptq
* rname inferance/quant
* refactor test
* add auto-gptq as an option
* reset requirements
* change assert and check auto-gptq
* add import warnings
* change test flash attn version
* remove example
* change requirements of flash_attn
* modify tests
* [skip ci] change requirements-test
* [gptq] faster gptq cuda kernel (#4494 )
* [skip ci] add cuda kernels
* add license
* [skip ci] fix max_input_len
* format files & change test size
* [skip ci]
* [gptq] add gptq tensor parallel (#4538 )
* add gptq tensor parallel
* add gptq tp
* delete print
* add test gptq check
* add test auto gptq check
* [gptq] combine gptq and kv cache manager (#4706 )
* combine gptq and kv cache manager
* add init bits
* delete useless code
* add model path
* delete usless print and update test
* delete usless import
* move option gptq to shard config
* change replace linear to shardformer
* update bloom policy
* delete useless code
* fix import bug and delete uselss code
* change colossalai/gptq to colossalai/quant/gptq
* update import linear for tests
* delete useless code and mv gptq_kernel to kernel directory
* fix triton kernel
* add triton import
2023-09-22 11:02:50 +08:00
df66741f77
[bug] fix get_default_parser in examples ( #4764 )
2023-09-21 10:42:25 +08:00
7b9b86441f
[chat]: update rm, add wandb and fix bugs ( #4471 )
...
* feat: modify forward fn of critic and reward model
* feat: modify calc_action_log_probs
* to: add wandb in sft and rm trainer
* feat: update train_sft
* feat: update train_rm
* style: modify type annotation and add warning
* feat: pass tokenizer to ppo trainer
* to: modify trainer base and maker base
* feat: add wandb in ppo trainer
* feat: pass tokenizer to generate
* test: update generate fn tests
* test: update train tests
* fix: remove action_mask
* feat: remove unused code
* fix: fix wrong ignore_index
* fix: fix mock tokenizer
* chore: update requirements
* revert: modify make_experience
* fix: fix inference
* fix: add padding side
* style: modify _on_learn_batch_end
* test: use mock tokenizer
* fix: use bf16 to avoid overflow
* fix: fix workflow
* [chat] fix gemini strategy
* [chat] fix
* sync: update colossalai strategy
* fix: fix args and model dtype
* fix: fix checkpoint test
* fix: fix requirements
* fix: fix missing import and wrong arg
* fix: temporarily skip gemini test in stage 3
* style: apply pre-commit
* fix: temporarily skip gemini test in stage 1&2
---------
Co-authored-by: Mingyan Jiang <1829166702@qq.com>
2023-09-20 15:53:58 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
...
* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
3c6b831c26
[format] applied code formatting on changed files in pull request 4743 ( #4750 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-09-18 16:52:42 +08:00
b5f9e37c70
[legacy] clean up legacy code ( #4743 )
...
* [legacy] remove outdated codes of pipeline (#4692 )
* [legacy] remove cli of benchmark and update optim (#4690 )
* [legacy] remove cli of benchmark and update optim
* [doc] fix cli doc test
* [legacy] fix engine clip grad norm
* [legacy] remove outdated colo tensor (#4694 )
* [legacy] remove outdated colo tensor
* [test] fix test import
* [legacy] move outdated zero to legacy (#4696 )
* [legacy] clean up utils (#4700 )
* [legacy] clean up utils
* [example] update examples
* [legacy] clean up amp
* [legacy] fix amp module
* [legacy] clean up gpc (#4742 )
* [legacy] clean up context
* [legacy] clean core, constants and global vars
* [legacy] refactor initialize
* [example] fix examples ci
* [example] fix examples ci
* [legacy] fix tests
* [example] fix gpt example
* [example] fix examples ci
* [devops] fix ci installation
* [example] fix examples ci
2023-09-18 16:31:06 +08:00
4c4482f3ad
[example] llama2 add fine-tune example ( #4673 )
...
* [shardformer] update shardformer readme
[shardformer] update shardformer readme
[shardformer] update shardformer readme
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] change dataset
* [shardformer] change dataset
* [shardformer] fix CI
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
[example] update opt example
[example] resolve comments
fix
fix
* [example] llama2 add finetune example
* [example] llama2 add finetune example
* [example] llama2 add finetune example
* [example] llama2 add finetune example
* fix
* update llama2 example
* update llama2 example
* fix
* update llama2 example
* update llama2 example
* update llama2 example
* update llama2 example
* update llama2 example
* update llama2 example
* Update requirements.txt
* update llama2 example
* update llama2 example
* update llama2 example
2023-09-15 18:45:44 +08:00
608cffaed3
[example] add gpt2 HybridParallelPlugin example ( #4653 )
...
* add gpt2 HybridParallelPlugin example
* update readme and testci
* update test ci
* fix test_ci bug
* update requirements
* add requirements
* update requirements
* add requirement
* rename file
2023-09-15 17:12:46 +08:00
ce97790ed7
[doc] fix llama2 code link ( #4726 )
...
* [doc] fix llama2 code link
* [doc] fix llama2 code link
* [doc] fix llama2 code link
2023-09-14 23:19:25 +08:00
068372a738
[doc] add potential solution for OOM in llama2 example ( #4699 )
2023-09-13 10:43:30 +08:00
bce0f16702
[Feature] The first PR to Add TP inference engine, kv-cache manager and related kernels for our inference system ( #4577 )
...
* [infer] Infer/llama demo (#4503 )
* add
* add infer example
* finish
* finish
* stash
* fix
* [Kernels] add inference token attention kernel (#4505 )
* add token forward
* fix tests
* fix comments
* add try import triton
* add adapted license
* add tests check
* [Kernels] add necessary kernels (llama & bloom) for attention forward and kv-cache manager (#4485 )
* added _vllm_rms_norm
* change place
* added tests
* added tests
* modify
* adding kernels
* added tests:
* adding kernels
* modify
* added
* updating kernels
* adding tests
* added tests
* kernel change
* submit
* modify
* added
* edit comments
* change name
* change commnets and fix import
* add
* added
* combine codes (#4509 )
* [feature] add KV cache manager for llama & bloom inference (#4495 )
* add kv cache memory manager
* add stateinfo during inference
* format
* format
* rename file
* add kv cache test
* revise on BatchInferState
* file dir change
* [Bug FIx] import llama context ops fix (#4524 )
* added _vllm_rms_norm
* change place
* added tests
* added tests
* modify
* adding kernels
* added tests:
* adding kernels
* modify
* added
* updating kernels
* adding tests
* added tests
* kernel change
* submit
* modify
* added
* edit comments
* change name
* change commnets and fix import
* add
* added
* fix
* add ops into init.py
* add
* [Infer] Add TPInferEngine and fix file path (#4532 )
* add engine for TP inference
* move file path
* update path
* fix TPInferEngine
* remove unused file
* add engine test demo
* revise TPInferEngine
* fix TPInferEngine, add test
* fix
* Add Inference test for llama (#4508 )
* add kv cache memory manager
* add stateinfo during inference
* add
* add infer example
* finish
* finish
* format
* format
* rename file
* add kv cache test
* revise on BatchInferState
* add inference test for llama
* fix conflict
* feature: add some new features for llama engine
* adapt colossalai triton interface
* Change the parent class of llama policy
* add nvtx
* move llama inference code to tensor_parallel
* fix __init__.py
* rm tensor_parallel
* fix: fix bugs in auto_policy.py
* fix:rm some unused codes
* mv colossalai/tpinference to colossalai/inference/tensor_parallel
* change __init__.py
* save change
* fix engine
* Bug fix: Fix hang
* remove llama_infer_engine.py
---------
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [infer] Add Bloom inference policy and replaced methods (#4512 )
* add bloom inference methods and policy
* enable pass BatchInferState from model forward
* revise bloom infer layers/policies
* add engine for inference (draft)
* add test for bloom infer
* fix bloom infer policy and flow
* revise bloom test
* fix bloom file path
* remove unused codes
* fix bloom modeling
* fix dir typo
* fix trivial
* fix policy
* clean pr
* trivial fix
* Revert "[infer] Add Bloom inference policy and replaced methods (#4512 )" (#4552 )
This reverts commit 17cfa57140#4549 )
* create readme
* add readme.md
* fix typos
* [infer] Add Bloom inference policy and replaced methods (#4553 )
* add bloom inference methods and policy
* enable pass BatchInferState from model forward
* revise bloom infer layers/policies
* add engine for inference (draft)
* add test for bloom infer
* fix bloom infer policy and flow
* revise bloom test
* fix bloom file path
* remove unused codes
* fix bloom modeling
* fix dir typo
* fix trivial
* fix policy
* clean pr
* trivial fix
* trivial
* Fix Bugs In Llama Model Forward (#4550 )
* add kv cache memory manager
* add stateinfo during inference
* add
* add infer example
* finish
* finish
* format
* format
* rename file
* add kv cache test
* revise on BatchInferState
* add inference test for llama
* fix conflict
* feature: add some new features for llama engine
* adapt colossalai triton interface
* Change the parent class of llama policy
* add nvtx
* move llama inference code to tensor_parallel
* fix __init__.py
* rm tensor_parallel
* fix: fix bugs in auto_policy.py
* fix:rm some unused codes
* mv colossalai/tpinference to colossalai/inference/tensor_parallel
* change __init__.py
* save change
* fix engine
* Bug fix: Fix hang
* remove llama_infer_engine.py
* bug fix: fix bugs about infer_state.is_context_stage
* remove pollcies
* fix: delete unused code
* fix: delete unused code
* remove unused coda
* fix conflict
---------
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
* [doc] add colossal inference fig (#4554 )
* create readme
* add readme.md
* fix typos
* upload fig
* [NFC] fix docstring for colossal inference (#4555 )
Fix docstring and comments in kv cache manager and bloom modeling
* fix docstring in llama modeling (#4557 )
* [Infer] check import vllm (#4559 )
* change import vllm
* import apply_rotary_pos_emb
* change import location
* [DOC] add installation req (#4561 )
* add installation req
* fix
* slight change
* remove empty
* [Feature] rms-norm transfer into inference llama.py (#4563 )
* add installation req
* fix
* slight change
* remove empty
* add rmsnorm polciy
* add
* clean codes
* [infer] Fix tp inference engine (#4564 )
* fix engine prepare data
* add engine test
* use bloom for testing
* revise on test
* revise on test
* reset shardformer llama (#4569 )
* [infer] Fix engine - tensors on different devices (#4570 )
* fix diff device in engine
* [codefactor] Feature/colossal inference (#4579 )
* code factors
* remove
* change coding (#4581 )
* [doc] complete README of colossal inference (#4585 )
* complete fig
* Update README.md
* [doc]update readme (#4586 )
* update readme
* Update README.md
* bug fix: fix bus in llama and bloom (#4588 )
* [BUG FIX]Fix test engine in CI and non-vllm kernels llama forward (#4592 )
* fix tests
* clean
* clean
* fix bugs
* add
* fix llama non-vllm kernels bug
* modify
* clean codes
* [Kernel]Rmsnorm fix (#4598 )
* fix tests
* clean
* clean
* fix bugs
* add
* fix llama non-vllm kernels bug
* modify
* clean codes
* add triton rmsnorm
* delete vllm kernel flag
* [Bug Fix]Fix bugs in llama (#4601 )
* fix tests
* clean
* clean
* fix bugs
* add
* fix llama non-vllm kernels bug
* modify
* clean codes
* bug fix: remove rotary_positions_ids
---------
Co-authored-by: cuiqing.li <lixx3527@gmail.com>
* [kernel] Add triton layer norm & replace norm for bloom (#4609 )
* add layernorm for inference
* add test for layernorm kernel
* add bloom layernorm replacement policy
* trivial: path
* [Infer] Bug fix rotary embedding in llama (#4608 )
* fix rotary embedding
* delete print
* fix init seq len bug
* rename pytest
* add benchmark for llama
* refactor codes
* delete useless code
* [bench] Add bloom inference benchmark (#4621 )
* add bloom benchmark
* readme - update benchmark res
* trivial - uncomment for testing (#4622 )
* [Infer] add check triton and cuda version for tests (#4627 )
* fix rotary embedding
* delete print
* fix init seq len bug
* rename pytest
* add benchmark for llama
* refactor codes
* delete useless code
* add check triton and cuda
* Update sharder.py (#4629 )
* [Inference] Hot fix some bugs and typos (#4632 )
* fix
* fix test
* fix conflicts
* [typo]Comments fix (#4633 )
* fallback
* fix commnets
* bug fix: fix some bugs in test_llama and test_bloom (#4635 )
* [Infer] delete benchmark in tests and fix bug for llama and bloom (#4636 )
* fix rotary embedding
* delete print
* fix init seq len bug
* rename pytest
* add benchmark for llama
* refactor codes
* delete useless code
* add check triton and cuda
* delete benchmark and fix infer bugs
* delete benchmark for tests
* delete useless code
* delete bechmark function in utils
* [Fix] Revise TPInferEngine, inference tests and benchmarks (#4642 )
* [Fix] revise TPInferEngine methods and inference tests
* fix llama/bloom infer benchmarks
* fix infer tests
* trivial fix: benchmakrs
* trivial
* trivial: rm print
* modify utils filename for infer ops test (#4657 )
* [Infer] Fix TPInferEngine init & inference tests, benchmarks (#4670 )
* fix engine funcs
* TPInferEngine: receive shard config in init
* benchmarks: revise TPInferEngine init
* benchmarks: remove pytest decorator
* trivial fix
* use small model for tests
* [NFC] use args for infer benchmarks (#4674 )
* revise infer default (#4683 )
* [Fix] optimize/shard model in TPInferEngine init (#4684 )
* remove using orig model in engine
* revise inference tests
* trivial: rename
---------
Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com>
Co-authored-by: Xu Kai <xukai16@foxmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>
2023-09-12 01:22:56 +08:00
554aa9592e
[legacy] move communication and nn to legacy and refactor logger ( #4671 )
...
* [legacy] move communication to legacy (#4640 )
* [legacy] refactor logger and clean up legacy codes (#4654 )
* [legacy] make logger independent to gpc
* [legacy] make optim independent to registry
* [legacy] move test engine to legacy
* [legacy] move nn to legacy (#4656 )
* [legacy] move nn to legacy
* [checkpointio] fix save hf config
* [test] remove useledd rpc pp test
* [legacy] fix nn init
* [example] skip tutorial hybriad parallel example
* [devops] test doc check
* [devops] test doc check
2023-09-11 16:24:28 +08:00
7486ed7d3a
[shardformer] update llama2/opt finetune example and fix llama2 policy ( #4645 )
...
* [shardformer] update shardformer readme
[shardformer] update shardformer readme
[shardformer] update shardformer readme
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] update llama2/opt finetune example and shardformer update to llama2
* [shardformer] change dataset
* [shardformer] change dataset
* [shardformer] fix CI
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
[example] update opt example
[example] resolve comments
fix
fix
2023-09-09 22:45:36 +08:00
295b38fecf
[example] update vit example for hybrid parallel plugin ( #4641 )
...
* update vit example for hybrid plugin
* reset tp/pp size
* fix dataloader iteration bug
* update optimizer passing in evaluation/add grad_accum
* change criterion
* wrap tqdm
* change grad_accum to grad_checkpoint
* fix pbar
2023-09-07 17:38:45 +08:00
660eed9124
[pipeline] set optimizer to optional in execute_pipeline ( #4630 )
...
* set optimizer to optional in execute_pipeline
* arrange device and mixed precision in booster init
* fix execute_pipeline in booster.py
2023-09-07 10:42:59 +08:00
fae6c92ead
Merge branch 'main' into feature/shardformer
2023-09-05 21:54:08 +08:00
ac178ca5c1
[legacy] move builder and registry to legacy ( #4603 )
2023-09-05 21:53:10 +08:00
8accecd55b
[legacy] move engine to legacy ( #4560 )
...
* [legacy] move engine to legacy
* [example] fix seq parallel example
* [example] fix seq parallel example
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [example] update seq parallel requirements
2023-09-05 21:53:10 +08:00
Wenhao Chen