mirror of https://github.com/hpcaitech/ColossalAI
17 Commits (544b7a38a167cb05cdc7590cfc100e23c0ed5ab7)
| Author | SHA1 | Message | Date |
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Haze188
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3420921101
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[shardformer] DeepseekMoE support (#5871)
* [Feature] deepseek moe expert parallel implement * [misc] fix typo, remove redundant file (#5867) * [misc] fix typo * [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> * [Feature] deepseek support & unit test * [misc] remove debug code & useless print * [misc] fix typos (#5872) * [Feature] remove modeling file, use auto config. (#5884) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [Deepseek] remove redundant code (#5888) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [Feature/deepseek] resolve comment. (#5889) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [misc] mv module replacement into if branch * [misc] add some warning message and modify some code in unit test * [misc] fix typos --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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Haze188
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416580b314
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[MoE/ZeRO] Moe refactor with zero refactor (#5821)
* [moe] removed openmoe-coupled code and rectify mixstral code (#5471) * [Feauture] MoE refractor; Intergration with Mixtral (#5682) * cherry pick from refractor-moe branch * tests passed * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support ep + zero --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add mixtral auto policy & move pipeline forward code to modeling folder * [moe refactor] modify kernel test without Route Class * [moe refactor] add moe tensor test path environment variable to github workflow * fix typos * fix moe test bug due to the code rebase * [moe refactor] fix moe zero test, and little bug in low level zero * fix typo * add moe tensor path to github workflow * remove some useless code * fix typo & unify global variable XX_AXIS logic without using -1 * fix typo & prettifier the code * remove print code & support zero 2 test * remove useless code * reanme function * fix typo * fix typo * Further improve the test code * remove print code * [moe refactor] change test model from fake moe model to mixtral moe layer and remove useless test * [moe refactor] skip some unit test which will be refactored later * [moe refactor] fix unit import error * [moe refactor] fix circular import issues * [moe refactor] remove debug code * [moe refactor] update github workflow * [moe/zero] refactor low level optimizer (#5767) * [zero] refactor low level optimizer * [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> * [Feature] MoE refactor with newest version of ZeRO (#5801) * [zero] remove redundant members in BucketStore (#5802) * [zero] align api with previous version * [Moe/Zero] Update MoeHybridParallelPlugin with refactored ZeRO and Fix Zero bug (#5819) * [moe refactor] update unit test with the refactored ZeRO and remove useless test * move moe checkpoint to checkpoint folder and exchange global axis to class member * update moe hybrid parallel plugin with newest version of zero & fix zero working/master params bug * fix zero unit test * Add an assertion to prevent users from using it incorrectly * [hotfix]Solve the compatibility issue of zero refactor (#5823) * [moe refactor] update unit test with the refactored ZeRO and remove useless test * move moe checkpoint to checkpoint folder and exchange global axis to class member * update moe hybrid parallel plugin with newest version of zero & fix zero working/master params bug * fix zero unit test * Add an assertion to prevent users from using it incorrectly * Modify function parameter names to resolve compatibility issues * [zero] fix missing hook removal (#5824) * [MoE] Resolve .github conflict (#5829) * [Fix/Example] Fix Llama Inference Loading Data Type (#5763) * [fix/example] fix llama inference loading dtype * revise loading dtype of benchmark llama3 * [release] update version (#5752) * [release] update version * [devops] update compatibility test * [devops] update compatibility test * [devops] update compatibility test * [devops] update compatibility test * [test] fix ddp plugin test * [test] fix gptj and rpc test * [devops] fix cuda ext compatibility * [inference] fix flash decoding test * [inference] fix flash decoding test * fix (#5765) * [test] Fix/fix testcase (#5770) * [fix] branch for fix testcase; * [fix] fix test_analyzer & test_auto_parallel; * [fix] remove local change about moe; * [fix] rm local change moe; * [Hotfix] Add missing init file in inference.executor (#5774) * [CI/tests] simplify some test case to reduce testing time (#5755) * [ci/tests] simplify some test case to reduce testing time * [ci/tests] continue to remove test case to reduce ci time cost * restore some test config * [ci/tests] continue to reduce ci time cost * [misc] update dockerfile (#5776) * [misc] update dockerfile * [misc] update dockerfile * [devops] fix docker ci (#5780) * [Inference]Add Streaming LLM (#5745) * Add Streaming LLM * add some parameters to llama_generation.py * verify streamingllm config * add test_streamingllm.py * modified according to the opinions of review * add Citation * change _block_tables tolist * [hotfix] fix llama flash attention forward (#5777) * [misc] Accelerate CI for zero and dist optim (#5758) * remove fp16 from lamb * remove d2h copy in checking states --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Test/CI] remove test cases to reduce CI duration (#5753) * [test] smaller gpt2 test case * [test] reduce test cases: tests/test_zero/test_gemini/test_zeroddp_state_dict.py * [test] reduce test cases: tests/test_zero/test_gemini/test_grad_accum.py * [test] reduce test cases tests/test_zero/test_gemini/test_optim.py * Revert "[test] smaller gpt2 test case" Some tests might depend on the size of model (num of chunks) This reverts commit |
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Edenzzzz
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2a25a2aff7
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[Feature] optimize PP overlap (#5735)
* update to fully overlap, still debugging * improve interface * fixed deadlock bug * debug NaN loss * (experimental) use one comm group for send_fw_recv_fw to fix NaN * cleaned up interfaces; use one batch p2p for all * clean up; removed the double p2p batch case * p2p test passsed * improve overlap: send fwd before backward * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * tentatively use 2 p2p batches * remove two p2p batches * fix typos * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove pp.sh --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: root <root@notebook-c55824c0-7742-45e8-9591-c855bb77ad29-0.notebook-c55824c0-7742-45e8-9591-c855bb77ad29.colossal-ai.svc.cluster.local> |
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Edenzzzz
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43995ee436
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[Feature] Distributed optimizers: Lamb, Galore, CAME and Adafactor (#5694)
* [feat] Add distributed lamb; minor fixes in DeviceMesh (#5476) * init: add dist lamb; add debiasing for lamb * dist lamb tester mostly done * all tests passed * add comments * all tests passed. Removed debugging statements * moved setup_distributed inside plugin. Added dist layout caching * organize better --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [hotfix] Improve tester precision by removing ZeRO on vanilla lamb (#5576) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [optim] add distributed came (#5526) * test CAME under LowLevelZeroOptimizer wrapper * test CAME TP row and col pass * test CAME zero pass * came zero add master and worker param id convert * came zero test pass * came zero test pass * test distributed came passed * reform code, Modify some expressions and add comments * minor fix of test came * minor fix of dist_came and test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * minor fix of dist_came and test * rebase dist-optim * rebase dist-optim * fix remaining comments * add test dist came using booster api --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [optim] Distributed Adafactor (#5484) * [feature] solve conflict; update optimizer readme; * [feature] update optimize readme; * [fix] fix testcase; * [feature] Add transformer-bert to testcase;solve a bug related to indivisible shape (induction in use_zero and tp is row parallel); * [feature] Add transformers_bert model zoo in testcase; * [feature] add user documentation to docs/source/feature. * [feature] add API Reference & Sample to optimizer Readme; add state check for bert exam; * [feature] modify user documentation; * [fix] fix readme format issue; * [fix] add zero=0 in testcase; cached augment in dict; * [fix] fix percision issue; * [feature] add distributed rms; * [feature] remove useless comment in testcase; * [fix] Remove useless test; open zero test; remove fp16 test in bert exam; * [feature] Extract distributed rms function; * [feature] add booster + lowlevelzeroPlugin in test; * [feature] add Start_with_booster_API case in md; add Supporting Information in md; * [fix] Also remove state movement in base adafactor; * [feature] extract factor function; * [feature] add LowLevelZeroPlugin test; * [fix] add tp=False and zero=True in logic; * [fix] fix use zero logic; * [feature] add row residue logic in column parallel factor; * [feature] add check optim state func; * [feature] Remove duplicate logic; * [feature] update optim state check func and percision test bug; * [fix] update/fix optim state; Still exist percision issue; * [fix] Add use_zero check in _rms; Add plugin support info in Readme; Add Dist Adafactor init Info; * [feature] removed print & comments in utils; * [feature] uodate Readme; * [feature] add LowLevelZeroPlugin test with Bert model zoo; * [fix] fix logic in _rms; * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [fix] remove comments in testcase; * [feature] add zh-Han Readme; --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] refractor dist came; fix percision error; add low level zero test with bert model zoo; (#5676) * [feature] daily update; * [fix] fix dist came; * [feature] refractor dist came; fix percision error; add low level zero test with bert model zoo; * [fix] open rms; fix low level zero test; fix dist came test function name; * [fix] remove redundant test; * [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> * [Feature] Add Galore (Adam, Adafactor) and distributed GaloreAdamW8bit (#5570) * init: add dist lamb; add debiasing for lamb * dist lamb tester mostly done * all tests passed * add comments * all tests passed. Removed debugging statements * moved setup_distributed inside plugin. Added dist layout caching * organize better * update comments * add initial distributed galore * add initial distributed galore * add galore set param utils; change setup_distributed interface * projected grad precision passed * basic precision tests passed * tests passed; located svd precision issue in fwd-bwd; banned these tests * Plugin DP + TP tests passed * move get_shard_dim to d_tensor * add comments * remove useless files * remove useless files * fix zero typo * improve interface * remove moe changes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix import * fix deepcopy * update came & adafactor to main * fix param map * fix typo --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Hotfix] Remove one buggy test case from dist_adafactor for now (#5692) Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: chongqichuizi875 <107315010+chongqichuizi875@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: duanjunwen <54985467+duanjunwen@users.noreply.github.com> Co-authored-by: Hongxin Liu <lhx0217@gmail.com> |
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Hongxin Liu
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641b1ee71a
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[devops] remove post commit ci (#5566)
* [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> |
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Zhongkai Zhao
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8e412a548e
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[shardformer] Sequence Parallelism Optimization (#5533)
* sequence parallel optimization * validate sequence parallel in llama (code to be polished) * shardformer api writing * integrate sequence parallel in ShardFormer * fix pp bugs and sp bugs for LlaMa model * integrating ring-based sequence parallelism into ShardFormer * [sequence parallelism]: Add fused megatron function * integrating ring-based sequence parallelism into ShardFormer --------- Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> * fix bugs when useing sp and flashattention together * fix operation function name * support flash attention for ulysses-style sp * clarify sp process group * fix compatibility bugs in moe plugin * fix fused linear bugs * fix linear layer test * support gpt model all-to-all sp * modify shard data dimension (meant to be dim=-1) * support megtron-style sp and distributed attn for llama model * [shardformer] add megatron sp to llama * support llama7B 128k with distributed attention * [shardformer] robustness enhancement * add block attn * sp mode 1: keep input as a complete sequence * fix sp compatability * finish sp mode 3 support for gpt * using all_to_all_single when batch size is 1 * support mode 2 sp in gpt2 (#5) * [shardformer] add megatron sp to llama * support llama7B 128k with distributed attention * [shardformer] robustness enhancement * add block attn * sp mode 1: keep input as a complete sequence * fix sp compatability * refactor ring implementation * support mode 2 sp in gpt2 * polish code * enable distributed attn mask when using sp mode 2 and 3 in llama * automatically enable flash attn when using sp mode 2 and 3 in llama * inplace attn mask * add zero2 support for sequence parallel * polish code * fix bugs * fix gemini checkpoint io * loose tensor checking atol and rtol * add comment * fix llama layernorm grad * fix zero grad * fix zero grad * fix conflict * update split and gather auto grad func * sequence parallel: inside text split (#6) * polish code (part 1) * polish code (part 2) * polish code (part 2.5) * polish code (part 3) * sequence parallel: inside text split * miscellaneous minor fixes * polish code * fix ulysses style ZeRO * sequence parallel: inside text split * miscellaneous minor fixes * disaggregate sp group and dp group for sp * fix llama and gpt sp * polish code * move ulysses grad sync to ddp (#9) * remove zero_stage and unbind the grad sync for alltoall sp * add 2d group creation test * move ulysses grad sync to ddp * add 2d group creation test * remove useless code * change shard config not to enable sp when enable_all_optimizations * add sp warnings for several model * remove useless code --------- Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> |
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flybird11111
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365671be10
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fix-test (#5210)
fix-test fix-test |
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flybird11111
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576a2f7b10
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[gemini] gemini support tensor parallelism. (#4942)
* [colossalai]fix typo * [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 * Update flash_attention_patch.py To be compatible with the new change in the Transformers library, where a new argument 'padding_mask' was added to forward function of attention layer. https://github.com/huggingface/transformers/pull/25598 * [kernel] support pure fp16 for cpu adam and update gemini optim tests (#4921) * [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 * [format] applied code formatting on changed files in pull request 4908 (#4918) Co-authored-by: github-actions <github-actions@github.com> * [gemini] support gradient accumulation (#4869) * 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 * [hotfix] fix torch 2.0 compatibility (#4936) * [hotfix] fix launch * [test] fix test gemini optim * [shardformer] fix vit * [test] add no master test for low level zero plugin (#4934) * [format] applied code formatting on changed files in pull request 4820 (#4886) Co-authored-by: github-actions <github-actions@github.com> * [nfc] fix some typo with colossalai/ docs/ etc. (#4920) * [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> * [test] merge old components to test to model zoo (#4945) * [test] add custom models in model zoo * [test] update legacy test * [test] update model zoo * [test] update gemini test * [test] remove components to test * [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> * [Inference]ADD Bench Chatglm2 script (#4963) * add bench chatglm * fix bug and make utils --------- Co-authored-by: CjhHa1 <cjh18671720497outlook.com> * [Pipeline inference] Combine kvcache with pipeline inference (#4938) * merge kvcache with pipeline inference and refactor the code structure * support ppsize > 2 * refactor pipeline code * do pre-commit * modify benchmark * fix bench mark * polish code * add docstring and update readme * refactor the code * fix some logic bug of ppinfer * polish readme * fix typo * skip infer test * updated c++17 compiler flags (#4983) * [Inference] Dynamic Batching Inference, online and offline (#4953) * [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 |
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littsk
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be82b5d4ca
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[hotfix] Fix the bug where process groups were not being properly released. (#4940)
* Fix the bug where process groups were not being properly released.
* test
* Revert "test"
This reverts commit
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Baizhou Zhang
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a2db75546d
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[doc] polish shardformer doc (#4779)
* fix example format in docstring * polish shardformer doc |
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Hongxin Liu
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079bf3cb26
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[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 |
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LuGY
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a78daf6180
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[shardformer] support interleaved pipeline (#4448)
* support interleaved pipeline * fix unit test * remove virtual stage test in stage mgr * add droped type hint and updated bwd |
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Hongxin Liu
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5e1a9d48dd |
[cluster] add process group mesh (#4039)
* [cluster] add process group mesh * [test] add process group mesh test * force sync |
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digger yu
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7f8203af69
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fix typo colossalai/auto_parallel autochunk fx/passes etc. (#3808) | |
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Frank Lee
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73d3e4d309
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[booster] implemented the torch ddd + resnet example (#3232)
* [booster] implemented the torch ddd + resnet example * polish code |
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YuliangLiu0306
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4d5d8f98a4
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[API] implement device mesh manager (#3221)
* [API] implement device mesh manager * polish |
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Frank Lee
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e3ad88fb48
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[booster] implemented the cluster module (#3191)
* [booster] implemented the cluster module * polish code |