Commit Graph

20 Commits (3568df498ab9ab2241ba2968de614bdc070ccbc9)

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)

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* fix

* Update low_level_optim.py

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2024-08-06 16:29:37 +08:00
Runyu Lu c0948aff97
[Inference]refactor baichuan (#5791)
* refactor baichuan

* remove unused code and add TODO for lazyinit
2024-06-11 10:52:01 +08:00
char-1ee 5f398fc000 Pass inference model shard configs for module init
Signed-off-by: char-1ee <xingjianli59@gmail.com>
2024-06-07 08:33:52 +00:00
Runyu Lu 18d67d0e8e
[Feat]Inference RPC Server Support (#5705)
* rpc support source
* kv cache logical/physical disaggregation
* sampler refactor
* colossalai launch built in
* Unitest
* Rpyc support

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2024-05-14 10:00:55 +08:00
yuehuayingxueluo 5f00002e43
[Inference] Adapt Baichuan2-13B TP (#5659)
* adapt to baichuan2 13B

* add baichuan2 13B TP

* update baichuan tp logic

* rm unused code

* Fix TP logic

* fix alibi slopes tp logic

* rm nn.Module

* Polished the code.

* change BAICHUAN_MODEL_NAME_OR_PATH

* Modified the logic for loading Baichuan weights.

* fix typos
2024-04-30 15:47:07 +08:00
yuehuayingxueluo 3c91e3f176
[Inference]Adapt to baichuan2 13B (#5614)
* adapt to baichuan2 13B

* adapt to baichuan2 13B

* change BAICHUAN_MODEL_NAME_OR_PATH

* fix test_decoding_attn.py

* Modifications based on review comments.

* change BAICHUAN_MODEL_NAME_OR_PATH

* mv attn mask processes to test flash decoding

* mv get_alibi_slopes baichuan modeling

* fix bugs in test_baichuan.py
2024-04-25 23:11:30 +08:00
Yuanheng Zhao 04863a9b14
[example] Update Llama Inference example (#5629)
* [example] add infernece benchmark llama3

* revise inference config - arg

* remove unused args

* add llama generation demo script

* fix init rope in llama policy

* add benchmark-llama3 - cleanup
2024-04-23 22:23:07 +08:00
Runyu Lu e37ee2fb65
[Feat]Tensor Model Parallel Support For Inference (#5563)
* tensor parallel support naive source

* [fix]precision, model load and refactor the framework

* add tp unit test

* docstring

* fix do_sample
2024-04-18 16:56:46 +08:00
yuehuayingxueluo 56b222eff8
[inference/model]Adapted to the baichuan2-7B model (#5591)
* Adapted to the baichuan2-7B model

* modified according to the review comments.

* Modified the method of obtaining random weights.

* modified according to the review comments.

* change mlp layewr 'NOTE'
2024-04-15 16:53:02 +08:00
Yuanheng Zhao d85d91435a [Inference/SpecDec] Support GLIDE Drafter Model (#5455)
* add glide-llama policy and modeling

* update glide modeling, compitable with transformers 4.36.2

* revise glide llama modeling/usage

* fix issues of glimpsing large kv

* revise the way re-loading params for glide drafter

* fix drafter and engine tests

* enable convert to glide strict=False

* revise glide llama modeling

* revise vicuna prompt template

* revise drafter and tests

* apply usage of glide model in engine
2024-04-10 11:07:52 +08:00
Yuanheng Zhao 4bb5d8923a
[Fix/Inference] Remove unused and non-functional functions (#5543)
* [fix] remove unused func

* rm non-functional partial
2024-04-02 14:16:59 +08:00
Steve Luo f7aecc0c6b
feat rmsnorm cuda kernel and add unittest, benchmark script (#5417) 2024-03-08 16:21:12 +08:00
yuehuayingxueluo 2a718c8be8
Optimized the execution interval time between cuda kernels caused by view and memcopy (#5390)
* opt_view_and_memcopy

* fix bugs in ci

* fix ci bugs

* update benchmark scripts

* fix ci bugs
2024-02-21 13:23:57 +08:00
Yuanheng Zhao 1dedb57747
[Fix/Infer] Remove unused deps and revise requirements (#5341)
* remove flash-attn dep

* rm padding llama

* revise infer requirements

* move requirements out of module
2024-02-06 17:27:45 +08:00
yuehuayingxueluo 21ad4a27f9
[Inference/opt]Optimize the mid tensor of RMS Norm (#5350)
* opt rms_norm

* fix bugs in rms_layernorm
2024-02-02 15:06:01 +08:00
yuehuayingxueluo 249644c23b
[Inference]Repalce Attention layer and MLP layer by shardformer to optimize the weight transpose operation,add fused_qkv and fused linear_add (#5340)
* add fused qkv

* replace attn and mlp by shardformer

* fix bugs in mlp

* add docstrings

* fix test_inference_engine.py

* add optimize unbind

* add fused_addmm

* rm squeeze(1)

* refactor codes

* fix ci bugs

* rename ShardFormerLlamaMLP and ShardFormerLlamaAttention

* Removed the dependency on LlamaFlashAttention2

* rollback test_inference_engine.py
2024-02-01 15:49:39 +08:00
yuehuayingxueluo e8f0642f28
[Inference]Add Nopadding Llama Modeling (#5327)
* add nopadding llama modeling

* add nopadding_llama.py

* rm unused codes

* fix bugs in test_xine_copy.py

* fix code style
2024-01-30 10:31:46 +08:00
yuehuayingxueluo bfff9254ac
[inference] Adapted to Rotary Embedding and RMS Norm (#5283)
* adapted to rotary_embedding

* adapted to nopad rms norm

* fix bugs in benchmark

* fix flash_decoding.py
2024-01-22 10:55:34 +08:00
yuehuayingxueluo 62fd08ee44 Fixed a bug in the inference frame 2024-01-11 13:39:56 +00:00
yuehuayingxueluo 8daee26989 [Inference] Add the logic of the inference engine (#5173)
* add infer_struct and infer_config

* update codes

* change InferConfig

* Add hf_model_config to the engine

* rm _get_hf_model_config

* update codes

* made adjustments according to the feedback from the reviewer.

* update codes

* add ci test for config and struct

* Add the logic of the inference engine

* update engine and test

* Recover cache_manager.py

* add logger

* fix conflict

* update codes

* update codes

* update model and tokenizer

* fix add the logic about shardformer

* change kvcache_manager docstring

* add policy

* fix ci bug in test_kvcache_manager.py

* remove codes related o tokenizer and move model_policy

* fix  code style

* add ordered_set to requirements-infer.txt

* Delete extra empty lines

* add ordered_set to requirements-test.txt
2024-01-11 13:39:56 +00:00