Commit Graph

17 Commits (8241c0c054b38a109ed3ce7be1052a1e600b8471)

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

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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)

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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

Signed-off-by: char-1ee <xingjianli59@gmail.com>

* Fix tests and naming

Signed-off-by: char-1ee <xingjianli59@gmail.com>

* Pass inference model shard configs for module init

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* Clean up

Signed-off-by: char-1ee <xingjianli59@gmail.com>

* 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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---------

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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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Edenzzzz 2a25a2aff7
[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

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2024-06-26 14:48:02 +08:00
Edenzzzz 43995ee436
[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

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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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* [Feature] Add Galore (Adam, Adafactor) and distributed GaloreAdamW8bit (#5570)

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* [Hotfix] Remove one buggy test case from dist_adafactor for now (#5692)


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Hongxin Liu 641b1ee71a
[devops] remove post commit ci (#5566)
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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

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* clarify sp process group

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* support megtron-style sp and distributed attn for llama model

* [shardformer] add megatron sp to llama

* support llama7B 128k with distributed attention

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* add block attn

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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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* add block attn

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* inplace attn mask

* add zero2 support for sequence parallel

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* fix gemini checkpoint io

* loose tensor checking atol and rtol

* add comment

* fix llama layernorm grad

* fix zero grad

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* fix conflict

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* sequence parallel: inside text split (#6)

* polish code (part 1)

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* polish code (part 2.5)

* polish code (part 3)

* sequence parallel: inside text split

* miscellaneous minor fixes

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* sequence parallel: inside text split

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Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn>
2024-04-03 17:15:47 +08:00
flybird11111 365671be10
fix-test (#5210)
fix-test

fix-test
2024-01-03 14:26:13 +08:00
flybird11111 576a2f7b10
[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

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* fix import error

* rename file name

* [inference] add silu linear fusion for smoothquant llama mlp  (#4853)

* add silu linear

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* 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

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* add smooth function and delete useless code

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* 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

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* [nfc] fix some typo with colossalai/ docs/ etc. (#4920)

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* [test] merge old components to test to model zoo (#4945)

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* [Inference]ADD Bench Chatglm2 script (#4963)

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* [Pipeline inference] Combine kvcache with pipeline inference (#4938)

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* [Inference] Dynamic Batching Inference, online and offline (#4953)

* [inference] Dynamic Batching for Single and Multiple GPUs (#4831)

* finish batch manager

* 1

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* [inference] Async dynamic batching  (#4894)

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* Revert "[inference]Re push async dynamic batching (#4901)" (#4905)

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* Revert "[inference] Async dynamic batching  (#4894)" (#4909)

This reverts commit fced140250.

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* Revert "[inference] Async dynamic batching  (#4894)"

This reverts commit fced140250.

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* add assertion for config (#4947)

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* fix ColossalEval (#4992)

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* [doc]Update doc for colossal-inference (#4989)

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* Fix the bug where process groups were not being properly released.

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* [hotfix] fix the bug of repeatedly storing param group (#4951)

* [doc] add supported feature diagram for hybrid parallel plugin (#4996)

* [Pipeline Inference] Merge pp with tp (#4993)

* refactor pipeline into new CaiInferEngine

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* [release] update version (#4995)

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[gemini] gemini support tp

[gemini] gemini support tp

[gemini] gemini support tp

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Co-authored-by: Xu Kai <xukai16@foxmail.com>
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2023-11-10 10:15:16 +08:00
littsk be82b5d4ca
[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 479900c139.
2023-10-31 14:47:30 +08:00
Baizhou Zhang a2db75546d
[doc] polish shardformer doc (#4779)
* fix example format in docstring

* polish shardformer doc
2023-09-26 10:57:47 +08:00
Hongxin Liu 079bf3cb26
[misc] update pre-commit and run all files (#4752)
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2023-09-19 14:20:26 +08:00
LuGY a78daf6180
[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
2023-08-16 19:29:03 +08:00
Hongxin Liu 5e1a9d48dd [cluster] add process group mesh (#4039)
* [cluster] add process group mesh

* [test] add process group mesh test

* force sync
2023-08-15 23:25:14 +08:00
digger yu 7f8203af69
fix typo colossalai/auto_parallel autochunk fx/passes etc. (#3808) 2023-05-24 09:01:50 +08:00
Frank Lee 73d3e4d309
[booster] implemented the torch ddd + resnet example (#3232)
* [booster] implemented the torch ddd + resnet example

* polish code
2023-03-27 10:24:14 +08:00
YuliangLiu0306 4d5d8f98a4
[API] implement device mesh manager (#3221)
* [API] implement  device mesh manager

* polish
2023-03-24 13:39:12 +08:00
Frank Lee e3ad88fb48
[booster] implemented the cluster module (#3191)
* [booster] implemented the cluster module

* polish code
2023-03-22 14:11:54 +08:00