Commit Graph

139 Commits (4b9bec81766f0a536e1c8317cba38765903ec93a)

Author SHA1 Message Date
flybird11111 0c10afd372
[FP8] rebase main (#5963)
* add SimPO

* fix dataloader

* remove debug code

* add orpo

* fix style

* fix colossalai, transformers version

* fix colossalai, transformers version

* fix colossalai, transformers version

* fix torch colossalai version

* update transformers version

* [shardformer] DeepseekMoE support (#5871)

* [Feature] deepseek moe expert parallel implement

* [misc] fix typo, remove redundant file (#5867)

* [misc] fix typo

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* [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

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* [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838)

* Diffusion Model Inference support

* Stable Diffusion 3 Support

* pixartalpha support

* [HotFix] CI,import,requirements-test for #5838 (#5892)

* [Hot Fix] CI,import,requirements-test

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* [Feature] Enable PP + SP for llama (#5868)

* fix cross-PP-stage position id length diff bug

* fix typo

* fix typo

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* use a one cross entropy func for all shardformer models

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* [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897)

* add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint

* fix style

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* fix eval

* hotfix citation

* [zero] support all-gather overlap (#5898)

* [zero] support all-gather overlap

* [zero] add overlap all-gather flag

* [misc] fix typo

* [zero] update api

* fix orpo cross entropy loss

* [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446)

* Remove unnecessary calls to deepcopy

* Build DimSpec's difference dict only once

This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough.

* Fix documentation of DimSpec's difference method

* [ShardFormer] fix qwen2 sp (#5903)

* [compatibility] support torch 2.2 (#5875)

* Support Pytorch 2.2.2

* keep build_on_pr file and update .compatibility

* fix object_to_tensor usage when torch>=2.3.0 (#5820)

* [misc] support torch2.3 (#5893)

* [misc] support torch2.3

* [devops] update compatibility ci

* [devops] update compatibility ci

* [devops] add debug

* [devops] add debug

* [devops] add debug

* [devops] add debug

* [devops] remove debug

* [devops] remove debug

* [release] update version (#5912)

* [plugin] support all-gather overlap for hybrid parallel (#5919)

* [plugin] fixed all-gather overlap support for hybrid parallel

* add kto

* fix style, add kto data sample

* [Examples] Add lazy init to OPT and GPT examples (#5924)

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [ColossalChat] Hotfix for ColossalChat (#5910)

* add ignore and tiny llama

* fix path issue

* run style

* fix issue

* update bash

* add ignore and tiny llama

* fix path issue

* run style

* fix issue

* update bash

* fix ddp issue

* add Qwen 1.5 32B

* refactor tokenization

* [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931)

* cannot access local variable 'default_conversation' where it is not associated with a value

set default value for 'default_conversation'

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* fix test data

* refactor evaluation

* remove real data path

* remove real data path

* Add n_fused as an input from native_module (#5894)

* [FIX BUG] convert env param to int in (#5934)

* [Hotfix] Fix ZeRO typo #5936

Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941)

* Add a switch to control whether the model checkpoint needs to be saved after each epoch ends

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* fix style

* fix style

* fix style

* [shardformer] hotfix attn mask (#5945)

* [shardformer] hotfix attn mask (#5947)

* [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895)

* Distrifusion Support source

* comp comm overlap optimization

* sd3 benchmark

* pixart distrifusion bug fix

* sd3 bug fix and benchmark

* generation bug fix

* naming fix

* add docstring, fix counter and shape error

* add reference

* readme and requirement

* [zero] hotfix update master params (#5951)

* [release] update version (#5952)

* [Chat] Fix lora (#5946)

* fix merging

* remove filepath

* fix style

* Update README.md (#5958)

* [hotfix] Remove unused plan section (#5957)

* remove readme

* fix readme

* update

* [test] add mixtral for sequence classification

* [test] add mixtral transformer test

* [moe] fix plugin

* [test] mixtra pp shard test

* [chore] handle non member group

* [zero] solve hang

* [test] pass mixtral shardformer test

* [moe] implement transit between non moe tp and ep

* [zero] solve hang

* [misc] solve booster hang by rename the variable

* solve hang when parallel mode = pp + dp

* [moe] implement submesh initialization

* [moe] add mixtral dp grad scaling when not all experts are activated

* [chore] manually revert unintended commit

* [chore] trivial fix

* [chore] arg pass & remove drop token

* [test] add mixtral modelling test

* [moe] implement tp

* [moe] test deepseek

* [moe] clean legacy code

* [Feature] MoE Ulysses Support (#5918)

* moe sp support

* moe sp bug solve

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* [chore] minor fix

* [moe] init moe plugin comm setting with sp

* moe sp + ep bug fix

* [moe] finalize test (no pp)

* [moe] full test for deepseek and mixtral (pp + sp to fix)

* [chore] minor fix after rebase

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* [chore] solve moe ckpt test failure and some other arg pass failure

* [moe] remove ops

* [test] fix test: test_zero1_2

* [bug] fix: somehow logger hangs the program

* [moe] deepseek moe sp support

* [test] add check

* [deepseek] replace attn (a workaround for bug in transformers)

* [misc] skip redunant test

* [misc] remove debug/print code

* [moe] refactor mesh assignment

* Revert "[moe] implement submesh initialization"

This reverts commit 2f9bce6686.

* [chore] change moe_pg_mesh to private

* [misc] remove incompatible test config

* [misc] fix ci failure: change default value to false in moe plugin

* [misc] remove useless condition

* [chore] docstring

* [moe] remove force_overlap_comm flag and add warning instead

* [doc] add MoeHybridParallelPlugin docstring

* [moe] solve dp axis issue

* [chore] remove redundant test case, print string & reduce test tokens

* [feat] Dist Loader for Eval (#5950)

* support auto distributed data loader

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* support auto distributed data loader

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* fix tp error

* remove unused parameters

* remove unused

* update inference

* update docs

* update inference

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* [lora] lora support hybrid parallel plugin (#5956)

* lora support hybrid plugin

* fix

* fix

* fix

* fix

* fp8 operators for compressed communication

cast_to_fp8, cast_from_fp8, all_reduce_fp8

* fix scaling algorithm in FP8 casting

* support fp8 communication in pipeline parallelism

* add fp8_communication flag in the script

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* fix typo

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* shardformer fp8

* fix rebase

* remove all to all

* fix shardformer fp8 communication training degradation

* [fp8] support all-gather flat tensor (#5932)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* fix

* Update low_level_optim.py

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2024-08-06 16:29:37 +08:00
Haze188 416580b314
[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

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* support ep + zero

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* 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

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* [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

---------

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* [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 df705a5210.

* [test] reduce test cases: tests/test_checkpoint_io/test_gemini_checkpoint_io.py

* [CI] smaller test model for two mwo the two modifid cases

* [CI] hardcode gpt model for tests/test_zero/test_gemini/test_search.py since we need a fixed answer there

* [hotfix] fix testcase in test_fx/test_tracer (#5779)

* [fix] branch for fix testcase;

* [fix] fix test_analyzer & test_auto_parallel;

* [fix] remove local change about moe;

* [fix] rm local change moe;

* [fix] fix test_deepfm_model & test_dlrf_model;

* [fix] fix test_hf_albert & test_hf_gpt;

* [gemini] optimize reduce scatter d2h copy (#5760)

* [gemini] optimize reduce scatter d2h copy

* [fix] fix missing reduce variable

* [refactor] remove legacy async reduce scatter code

* [gemini] missing sync

* Revert "[refactor] remove legacy async reduce scatter code"

This reverts commit 58ad76d466.

* [gemini] further optimize with async all reduce

* [fix] pass flag from manager to chunk

* Allow building cuda extension without a device. (#5535)

Added FORCE_CUDA environment variable support, to enable building extensions where a GPU device is not present but cuda libraries are.

* [misc] fix dist logger (#5782)

* [install]fix setup (#5786)

* fix

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* [misc] update requirements (#5787)

* [shardformer] fix import (#5788)

* upgrade colossal-chat support tp_group>1, add sp for sft

* upgrade ppo dpo rm script

* run pre-commit

* moupdate ci tests, st ci test cases passed, tp failed in generation for ppo, sp is buggy

* fix training script

* fix ci

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* fix transformers version

* remove duplicated test

* fix datasets version

* remove models that require huggingface auth from ci

* remove local data path

* update ci

* remove baichuan from template test due to transformer version conflict

* merge

* Refactor modeling by adding attention backend

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* Fix tests and naming

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* Pass inference model shard configs for module init

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* Clean up

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* replace the customized dataloader setup with the build-in one

* replace the customized dataloader setup with the build-in one

* Remove flash attention backend

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* fix readme

* Fix test import

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* update sft trainning script

* [Inference]refactor baichuan (#5791)

* refactor baichuan

* remove unused code and add TODO for lazyinit

* [test] fix chatglm test kit (#5793)

* [shardformer] fix modeling of bloom and falcon (#5796)

* [test] fix qwen2 pytest distLarge (#5797)

* [Inference] Fix flash-attn import and add model test (#5794)

* Fix torch int32 dtype

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* Fix flash-attn import

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* Add generalized model test

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* Remove exposed path to model

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* Add default value for use_flash_attn

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* Rename model test

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* [Gemini] Use async stream to prefetch and h2d data moving (#5781)

* use async stream to prefetch and h2d data moving

* Remove redundant code

* [gemini] quick fix on possible async operation (#5803)

* [gemini] quick fix on possible async operation

* [gemini] quick fix on possible async operation

* [shardformer] upgrade transformers to 4.39.3 (#5815)

* [shardformer]upgrade transformers for gpt2/gptj/whisper (#5807)

* [shardformer] fix modeling of gpt2 and gptj

* [shardformer] fix whisper modeling

* [misc] update requirements

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* [shardformer]upgrade transformers for mistral (#5808)

* upgrade transformers for mistral

* fix

* fix

* [shardformer]upgrade transformers for llama (#5809)

* update transformers

fix

* fix

* fix

* [inference] upgrade transformers (#5810)

* update transformers

fix

* fix

* fix

* fix

* fix

* [gemini] update transformers for gemini (#5814)

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* Support 4d parallel + flash attention (#5789)

* support tp + sp + pp

* remove comments

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* [zero] fix hook bug

* [zero] add low level optimizer back (#5839)

* [zero] fix param & refactor

* [zero] add back original low level opt

* [zero] remove moe related

* [zero] pass zero tests

* [zero] refactor

* [chore] add del func back

* [zero] comments and naming (#5840)

* [zero] modify api (#5843)

* [zero] modify api

* [test] remove _grad_store access in tests

* [test] fix (#5857)

* [CI] skip openmoe CI check

* [CI] fox pre-commit

* [zero] remove redundant memebr init (#5862)

* [misc] remove useless code, modify the pg mesh implementation

* [misc] remove useless code, modify the pg mesh implementation

* [misc] use tempfile

* resolve conflict with main branch

* [misc] use tempfile in test_moe_checkpoint.py

* [misc] remove useless code, add assertion about sequence parallel, move logger into function

* [misc] remove useless code

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Guangyao Zhang d9d5e7ea1f
[shardformer] Support the T5ForTokenClassification model (#5816)
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2024-06-27 16:40:38 +08:00
Guangyao Zhang fd1dc417d8
[shardformer] Change atol in test command-r weight-check to pass pytest (#5835) 2024-06-19 13:59:22 +08:00
GuangyaoZhang fe2e74c03a fix precommit 2024-06-18 02:31:33 +00:00
GuangyaoZhang 98da648a4a Fix Code Factor check 2024-06-18 02:31:33 +00:00
GuangyaoZhang f656d61778 change command 2024-06-18 02:31:33 +00:00
Edenzzzz 8795bb2e80
Support 4d parallel + flash attention (#5789)
* support tp + sp + pp

* remove comments

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2024-06-17 17:40:47 +08:00
Guangyao Zhang aac941ef78
[test] fix qwen2 pytest distLarge (#5797) 2024-06-12 12:13:51 +08:00
Haze188 e22b82755d
[CI/tests] simplify some test case to reduce testing time (#5755)
* [ci/tests] simplify some test case to reduce testing time

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2024-06-04 13:57:54 +08:00
Hongxin Liu 68359ed1e1
[release] update version (#5752)
* [release] update version

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2024-05-31 19:40:26 +08:00
Edenzzzz 5f8c0a0ac3
[Feature] auto-cast optimizers to distributed version (#5746)
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2024-05-24 17:24:16 +08:00
Edenzzzz 43995ee436
[Feature] Distributed optimizers: Lamb, Galore, CAME and Adafactor (#5694)
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>

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* [optim] Distributed Adafactor (#5484)

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* [Feature] refractor dist came; fix percision error; add low level zero test with bert model zoo; (#5676)

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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)


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2024-05-14 13:52:45 +08:00
Wang Binluo a3cc68ca93
[Shardformer] Support the Qwen2 model (#5699)
* feat: support qwen2 model

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Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-05-09 20:04:25 +08:00
flybird11111 77ec773388
[zero]remove registered gradients hooks (#5687)
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2024-05-07 12:01:38 +08:00
Hongxin Liu 7f8b16635b
[misc] refactor launch API and tensor constructor (#5666)
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2024-04-29 10:40:11 +08:00
Hongxin Liu 1b387ca9fe
[shardformer] refactor pipeline grad ckpt config (#5646)
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2024-04-25 15:19:30 +08:00
Hongxin Liu bbb2c21f16
[shardformer] fix chatglm implementation (#5644)
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2024-04-25 14:41:17 +08:00
flybird11111 148506c828
[coloattention]modify coloattention (#5627)
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fxi

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2024-04-25 10:47:14 +08:00
Wang Binluo 0d0a582033
[shardformer] update transformers (#5583)
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>

* [shardformer] fix pipeline grad ckpt (#5620)

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* [test] fix llama test (#5638)

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* [shardformer]support pipeline parallelism for mistral. (#5642)

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* [Feature] Support LLaMA-3 CPT and ST (#5619)

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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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flybird11111 a0ad587c24
[shardformer] refactor embedding resize (#5603)
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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [rebase] rebase main to resize-embedding (#5581)

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Co-authored-by: github-actions <github-actions@github.com>

* [shardformer] fix pipeline forward error if custom layer distribution is used (#5189)

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---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [Fix] Grok-1 use tokenizer from the same pretrained path (#5532)

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Co-authored-by: Tong Li <tong.li352711588@gmail.com>

* [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508)

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* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager

* fix: add optional args for `distribute_layer` and `get_stage_index`

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Co-authored-by: Edenzzzz <wtan45@wisc.edu>

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* 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

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* 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

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* support llama7B 128k with distributed attention

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* using all_to_all_single when batch size is 1

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* support llama7B 128k with distributed attention

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* polish code

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* loose tensor checking atol and rtol

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---------

Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>

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Co-authored-by: Edenzzzz <wtan45@wisc.edu>

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

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Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com>
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* [shardformer]enable padding vocabulary size. (#5489)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
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2024-04-18 16:10:18 +08:00
Zhongkai Zhao 8e412a548e
[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)

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* miscellaneous minor fixes

* polish code

* fix ulysses style ZeRO

* sequence parallel: inside text split

* miscellaneous minor fixes

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* fix llama and gpt sp

* polish code

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* remove zero_stage and unbind the grad sync for alltoall sp

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* 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>
2024-04-03 17:15:47 +08:00
Wenhao Chen 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
Insu Jang 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
Hongxin Liu 19e1a5cf16
[shardformer] update colo attention to support custom mask (#5510)
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* [extension] update api

* [feature] add colo attention

* [feature] update sdpa

* [feature] update npu attention

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* [test] update flash attn test

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* [misc] refactor folder structure

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* [devops] update tensornvme install

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* [shardformer] update blip2

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* [test] fix shardformer tests

* [test] fix shardformer tests
2024-03-27 11:19:32 +08:00
Hongxin Liu f2e8b9ef9f
[devops] fix compatibility (#5444)
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2024-03-13 15:24:13 +08:00
flybird11111 29695cf70c
[example]add gpt2 benchmark example script. (#5295)
* benchmark gpt2

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---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [doc] fix doc typo (#5256)

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---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [shardformer] hybridparallelplugin support gradients accumulation. (#5246)

* support gradients acc

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* 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)

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---------

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>
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2024-03-04 16:18:13 +08:00
Zhongkai Zhao 5d9a0ae75b
[hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230) 2024-01-17 17:42:29 +08:00
flybird11111 e830ef917d
[ci] fix shardformer tests. (#5255)
* fix ci

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* feat: add enable_metadata_cache option

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---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-11 19:07:45 +08:00
Frank Lee 2b83418719
[ci] fixed ddp test (#5254)
* [ci] fixed ddp test

* polish
2024-01-11 17:16:32 +08:00
Wenhao Chen 4fa689fca1
[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp (#5134)
* test: add more p2p tests

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* feat: update P2PComm fn

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* feat: modify is_xx_stage fn

* revert: add _broadcast_object_list

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* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
2023-12-22 10:44:00 +08:00
flybird11111 79718fae04
[shardformer] llama support DistCrossEntropy (#5176)
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aaa

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* Add finetuning Colossal-Llama-2 example

* Add finetuning Colossal-Llama-2 example 2

* Add finetuning Colossal-Llama-2 example and support NEFTuning

* Add inference example and refine neftune

* Modify readme file

* update the imports

---------

Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>

* llama support dist-cross

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Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
2023-12-13 01:39:14 +08:00
Wenhao Chen 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>
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2023-11-28 16:54:42 +08:00
flybird11111 3e02154710
[gemini] gemini support extra-dp (#5043)
* support ddp

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* support ddp

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2023-11-16 21:03:04 +08:00
littsk 1a3315e336
[hotfix] Add layer norm gradients all-reduce for sequence parallel (#4926)
* [hotfix] Add layer norm gradients all-reduce for sequence parallel. (#4915)

* Add layer norm gradients all-reduce for sequence parallel.

* skip pipeline inference test

* [hotfix] fixing polices of sequence parallel (#4922)

* Add layer norm gradients all-reduce for sequence parallel.

* fix parameter passing when calling get_autopolicy

---------

Co-authored-by: littsk <1214689160@qq.com>

* Hotfix/add grad all reduce for sequence parallel (#4927)

* Add layer norm gradients all-reduce for sequence parallel.


* fix parameter passing when calling get_autopolicy

* fix bug using wrong variables

---------

Co-authored-by: littsk <1214689160@qq.com>

* fix policy initialization

* fix bloom and chatglm policices

* polish code of handling layernorm

* fix moe module

* polish code of class initializing

---------

Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
2023-11-03 13:32:43 +08:00
Hongxin Liu 1f5d2e8062
[hotfix] fix torch 2.0 compatibility (#4936)
* [hotfix] fix launch

* [test] fix test gemini optim

* [shardformer] fix vit
2023-10-18 11:05:25 +08:00
littsk 83b52c56cd
[feature] Add clip_grad_norm for hybrid_parallel_plugin (#4837)
* 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
littsk ffd9a3cbc9
[hotfix] fix bug in sequence parallel test (#4887) 2023-10-11 19:30:41 +08:00
Hongxin Liu 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
flybird11111 eedaa3e1ef
[shardformer]fix gpt2 double head (#4663)
* [shardformer]fix gpt2 test

[shardformer]fix gpt2 test

[shardformer]fix gpt2 test

* fix

* [shardformer] add todo

* [shardformer] add todo
2023-09-11 18:35:03 +08:00
flybird11111 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

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2023-09-09 22:45:36 +08:00
Hongxin Liu bd18678478
[test] fix gemini checkpoint and gpt test (#4620) 2023-09-05 16:02:23 +08:00
Hongxin Liu e71d245293
[test] ignore gpt2 shardformer test (#4619) 2023-09-05 14:21:31 +08:00
Hongxin Liu a39a5c66fe
Merge branch 'main' into feature/shardformer 2023-09-04 23:43:13 +08:00
Jianghai 24c0768795
[shardformer] Pytree fix (#4533)
* pytree test

* test bert

* test bert

* test bert

* revise

* add register

* add register
2023-09-04 17:52:23 +08:00
Baizhou Zhang 2c787d7f47
[shardformer] fix submodule replacement bug when enabling pp (#4544) 2023-08-31 09:57:18 +08:00
flybird11111 ec18fc7340
[shardformer] support pp+tp+zero1 tests (#4531)
* [shardformer] fix opt test hanging

* fix

* test

* test

* test

* fix test

* fix test

* remove print

* add fix

* [shardformer] pp+tp+zero1

[shardformer] pp+tp+zero1

[shardformer] pp+tp+zero1

[shardformer] pp+tp+zero1

[shardformer] pp+tp+zero1

[shardformer] pp+tp+zero1

* [shardformer] pp+tp+zero1

* [shardformer] pp+tp+zero1

* [shardformer] pp+tp+zero1

* [shardformer] pp+tp+zero1
2023-08-30 21:29:18 +08:00
flybird11111 d367b88785
[shardformer] fix opt test hanging (#4521)
* [shardformer] fix opt test hanging

* fix

* test

* test

* test

* fix test

* fix test

* remove print

* add fix
2023-08-30 14:50:34 +08:00
Bin Jia e241b74f24
[shardformer] Add overlap support for gpt2 (#4535)
* add overlap support for gpt2

* remove unused code

* remove unused code
2023-08-29 18:30:50 +08:00
Baizhou Zhang 0387a47e63
[shardformer] fix emerged bugs after updating transformers (#4526) 2023-08-29 11:25:05 +08:00