cabc1286ca
[LowLevelZero] low level zero support lora ( #5153 )
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* low level zero support lora
low level zero support lora
* add checkpoint test
* add checkpoint test
* fix
* fix
* fix
* fix
fix
fix
fix
* fix
* fix
fix
fix
fix
fix
fix
fix
* fix
* fix
fix
fix
fix
fix
fix
fix
* fix
* test ci
* git # This is a combination of 3 commits.
Update low_level_zero_plugin.py
Update low_level_zero_plugin.py
fix
fix
fix
* fix naming
fix naming
fix naming
fix
2023-12-21 17:01:01 +08:00
c5fd4aa6e8
[lora] add lora APIs for booster, support lora for TorchDDP ( #4981 )
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* add apis and peft requirement
* add liscense and implement apis
* add checkpointio apis
* add torchddp fwd_bwd test
* add support_lora methods
* add checkpointio test and debug
* delete unneeded codes
* remove peft from LICENSE
* add concrete methods for enable_lora
* simplify enable_lora api
* fix requirements
2023-10-31 15:19:37 +08:00
785802e809
[inference] add reference and fix some bugs ( #4937 )
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* add reference and fix some bugs
* update gptq init
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Co-authored-by: Xu Kai <xukai16@foxamil.com>
2023-10-20 13:39:34 +08:00
b8e770c832
[test] merge old components to test to model zoo ( #4945 )
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* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
2023-10-20 10:35:08 +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
11009103be
[nfc] fix some typo with colossalai/ docs/ etc. ( #4920 )
2023-10-18 15:44:04 +08:00
486d06a2d5
[format] applied code formatting on changed files in pull request 4820 ( #4886 )
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Co-authored-by: github-actions <github-actions@github.com>
2023-10-18 11:46:37 +08:00
c7aa319ba0
[test] add no master test for low level zero plugin ( #4934 )
2023-10-18 11:41:23 +08:00
1f5d2e8062
[hotfix] fix torch 2.0 compatibility ( #4936 )
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* [hotfix] fix launch
* [test] fix test gemini optim
* [shardformer] fix vit
2023-10-18 11:05:25 +08:00
21ba89cab6
[gemini] support gradient accumulation ( #4869 )
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* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
2023-10-17 14:07:21 +08:00
4f68b3f10c
[kernel] support pure fp16 for cpu adam and update gemini optim tests ( #4921 )
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* [kernel] support pure fp16 for cpu adam (#4896 )
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919 )
* [kernel] fix cpu adam
* [test] update gemini optim test
2023-10-16 21:56:53 +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
a0684e7bd6
[feature] support no master weights option for low level zero plugin ( #4816 )
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* [feature] support no master weights for low level zero plugin
* [feature] support no master weights for low level zero plugin, remove data copy when no master weights
* remove data copy and typecasting when no master weights
* not load weights to cpu when using no master weights
* fix grad: use fp16 grad when no master weights
* only do not update working param when no master weights
* fix: only do not update working param when no master weights
* fix: passing params in dict format in hybrid plugin
* fix: remove extra params (tp_process_group) in hybrid_parallel_plugin
2023-10-13 07:57:45 +00:00
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
39f2582e98
[hotfix] fix lr scheduler bug in torch 2.0 ( #4864 )
2023-10-12 14:04:24 +08:00
83b52c56cd
[feature] Add clip_grad_norm for hybrid_parallel_plugin ( #4837 )
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* Add clip_grad_norm for hibrid_parallel_plugin
* polish code
* add unittests
* Move tp to a higher-level optimizer interface.
* bug fix
* polish code
2023-10-12 11:32:37 +08:00
df63564184
[gemini] support amp o3 for gemini ( #4872 )
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* [gemini] support no reuse fp16 chunk
* [gemini] support no master weight for optim
* [gemini] support no master weight for gemini ddp
* [test] update gemini tests
* [test] update gemini tests
* [plugin] update gemini plugin
* [test] fix gemini checkpointio test
* [test] fix gemini checkpoint io
2023-10-12 10:39:08 +08:00
1dcaf249bd
[doc] add reminder for issue encountered with hybrid adam
2023-10-11 17:51:14 +08:00
08a9f76b2f
[Pipeline Inference] Sync pipeline inference branch to main ( #4820 )
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* [pipeline inference] pipeline inference (#4492 )
* add pp stage manager as circle stage
* fix a bug when create process group
* add ppinfer basic framework
* add micro batch manager and support kvcache-pp gpt2 fwd
* add generate schedule
* use mb size to control mb number
* support generate with kv cache
* add output, remove unused code
* add test
* reuse shardformer to build model
* refactor some code and use the same attribute name of hf
* fix review and add test for generation
* remove unused file
* fix CI
* add cache clear
* fix code error
* fix typo
* [Pipeline inference] Modify to tieweight (#4599 )
* add pp stage manager as circle stage
* fix a bug when create process group
* add ppinfer basic framework
* add micro batch manager and support kvcache-pp gpt2 fwd
* add generate schedule
* use mb size to control mb number
* support generate with kv cache
* add output, remove unused code
* add test
* reuse shardformer to build model
* refactor some code and use the same attribute name of hf
* fix review and add test for generation
* remove unused file
* modify the way of saving newtokens
* modify to tieweight
* modify test
* remove unused file
* solve review
* add docstring
* [Pipeline inference] support llama pipeline inference (#4647 )
* support llama pipeline inference
* remove tie weight operation
* [pipeline inference] Fix the blocking of communication when ppsize is 2 (#4708 )
* add benchmark verbose
* fix export tokens
* fix benchmark verbose
* add P2POp style to do p2p communication
* modify schedule as p2p type when ppsize is 2
* remove unused code and add docstring
* [Pipeline inference] Refactor code, add docsting, fix bug (#4790 )
* add benchmark script
* update argparse
* fix fp16 load
* refactor code style
* add docstring
* polish code
* fix test bug
* [Pipeline inference] Add pipeline inference docs (#4817 )
* add readme doc
* add a ico
* Add performance
* update table of contents
* refactor code (#4873 )
2023-10-11 11:40:06 +08:00
cd6a962e66
[NFC] polish code style ( #4799 )
2023-10-07 13:36:52 +08:00
07ed155e86
[NFC] polish colossalai/inference/quant/gptq/cai_gptq/__init__.py code style ( #4792 )
2023-10-07 13:36:52 +08:00
eef96e0877
polish code for gptq ( #4793 )
2023-10-07 13:36:52 +08:00
cb3a25a062
[checkpointio] hotfix torch 2.0 compatibility ( #4824 )
2023-10-07 10:45:52 +08:00
c97a3523db
fix: typo in comment of low_level_zero plugin
2023-10-05 16:30:34 +00:00
d1fcc0fa4d
[infer] fix test bug ( #4838 )
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* 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 )
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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
822051d888
[doc] update slack link ( #4823 )
2023-09-27 17:37:39 +08:00
11f1e426fe
[hotfix] Correct several erroneous code comments ( #4794 )
2023-09-27 10:43:03 +08:00
54b3ad8924
[hotfix] fix norm type error in zero optimizer ( #4795 )
2023-09-27 10:35:24 +08:00
da15fdb9ca
[doc] add lazy init docs ( #4808 )
2023-09-27 10:24:04 +08:00
a22706337a
[misc] add last_epoch in CosineAnnealingWarmupLR ( #4778 )
2023-09-26 14:43:46 +08:00
4965c0dabd
[lazy] support from_pretrained ( #4801 )
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* [lazy] patch from pretrained
* [lazy] fix from pretrained and add tests
* [devops] update ci
2023-09-26 11:04:11 +08:00
64a08b2dc3
[checkpointio] support unsharded checkpointIO for hybrid parallel ( #4774 )
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* support unsharded saving/loading for model
* support optimizer unsharded saving
* update doc
* support unsharded loading for optimizer
* small fix
2023-09-26 10:58:03 +08:00
a2db75546d
[doc] polish shardformer doc ( #4779 )
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* fix example format in docstring
* polish shardformer doc
2023-09-26 10:57:47 +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
946ab56c48
[feature] add gptq for inference ( #4754 )
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* [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
1e0e080837
[bug] Fix the version check bug in colossalai run when generating the cmd. ( #4713 )
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* Fix the version check bug in colossalai run when generating the cmd.
* polish code
2023-09-22 10:50:47 +08:00
3e05c07bb8
[lazy] support torch 2.0 ( #4763 )
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* [lazy] support _like methods and clamp
* [lazy] pass transformers models
* [lazy] fix device move and requires grad
* [lazy] fix requires grad and refactor api
* [lazy] fix requires grad
2023-09-21 16:30:23 +08:00
df66741f77
[bug] fix get_default_parser in examples ( #4764 )
2023-09-21 10:42:25 +08:00
c0a033700c
[shardformer] fix master param sync for hybrid plugin/rewrite unwrapping logic ( #4758 )
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* fix master param sync for hybrid plugin
* rewrite unwrap for ddp/fsdp
* rewrite unwrap for zero/gemini
* rewrite unwrap for hybrid plugin
* fix geemini unwrap
* fix bugs
2023-09-20 18:29:37 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
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* [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
b5f9e37c70
[legacy] clean up legacy code ( #4743 )
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* [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
32e7f99416
[kernel] update triton init #4740 ( #4740 )
2023-09-18 09:44:27 +08:00
4c4482f3ad
[example] llama2 add fine-tune example ( #4673 )
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* [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
ac2797996b
[shardformer] add custom policy in hybrid parallel plugin ( #4718 )
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* add custom policy
* update assert
2023-09-15 17:53:13 +08:00
f911d5b09d
[doc] Add user document for Shardformer ( #4702 )
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* create shardformer doc files
* add docstring for seq-parallel
* update ShardConfig docstring
* add links to llama example
* add outdated massage
* finish introduction & supporting information
* finish 'how shardformer works'
* finish shardformer.md English doc
* fix doctest fail
* add Chinese document
2023-09-15 10:56:39 +08:00
20190b49a5
[shardformer] to fix whisper test failed due to significant accuracy differences. ( #4710 )
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* [shardformer] fix whisper test failed
* [shardformer] fix whisper test failed
* [shardformer] fix whisper test failed
* [shardformer] fix whisper test failed
2023-09-14 21:34:20 +08:00
e2c0e7f92a
[hotfix] Fix import error: colossal.kernel without triton installed ( #4722 )
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* [hotfix] remove triton kernels from kernel init
* revise bloom/llama kernel imports for infer
2023-09-14 18:03:55 +08:00
c7d6975d29
[shardformer] fix GPT2DoubleHeadsModel ( #4703 )
2023-09-13 15:57:16 +08:00
flybird11111