GitLab

test t5

adjust layer attr

* add dist dropout in model

* update docstring and bert policy with dropout

* refactor basepolicy and sharded, update bert

* update format

* update gpt2 policy

* update bert policy

* remove unused code

* update readme for new policy usage

* fix bug in slicer, add slicer unit test

* add dropout test

* use pid as dropout seed

* updata dropout test with local pattern

* ad todo

* add bert align test, fix dist loss bug

* forward and backward align

* add ignore index

* add shardformer CI

* add gather_output optional for user in shardconfig

* update readme with optional gather_ouput

* add dist crossentropy loss test, remove unused files

* remove unused file

* remove unused file

* rename the file

* polish code

* add gpt2 policy and modify shard and slicer to support

* remove unused code

* polish code

* add dropout layer, add dropout test

* modify seed manager as context manager

* add a copy of col_nn.layer

* add dist_crossentropy loss; separate module test

* polish the code

* fix dist crossentropy loss

* update readme with modules content

* remove img

* [shardformer] refactored the user api

* polish code

* init shardformer code structure

* add implement of sharder (inject and replace)

* add implement of replace layer to colossal layer

* separate different layer policy, add some notion

* implement 1d and 2d slicer, can tell col or row

* fix bug when slicing and inject model

* fix some bug; add inference test example

* add share weight and train example

* add train

* add docstring and readme

* add docstring for other files

* pre-commit

* init shardformer code structure

* add implement of sharder (inject and replace)

* add implement of replace layer to colossal layer

* separate different layer policy, add some notion

* implement 1d and 2d slicer, can tell col or row

* fix bug when slicing and inject model

* fix some bug; add inference test example

* feat: remove on_learn_epoch fn as not used

* revert: add _on_learn_epoch fn

* feat: remove NaiveStrategy

* test: update train_prompts tests

* fix: remove prepare_llama_tokenizer_and_embedding

* test: add lora arg

* feat: remove roberta support in train_prompts due to runtime errs

* feat: remove deberta & roberta in rm as not used

* test: remove deberta and roberta tests

* feat: remove deberta and roberta models as not used

* fix: remove calls to roberta

* fix: remove prepare_llama_tokenizer_and_embedding

* chore: update transformers version

* docs: update transformers version

* fix: fix actor inference

* fix: fix ci

* feat: change llama pad token to unk

* revert: revert ddp setup_distributed

* fix: change llama pad token to unk

* revert: undo unnecessary changes

* fix: use pip to install transformers

* feat: remove on_learn_epoch fn as not used

* revert: add _on_learn_epoch fn

* to: remove the use of NaiveStrategy

* test: remove NaiveStrategy tests

* feat: remove NaiveStrategy

* style: modify comments and params

* feat: split ColossalAIStrategy into LowLevelZeroStrategy and GeminiStrategy

* fix: remove naive

* fix: align with modified colossal strategy

* fix: fix ddp _try_init_dist arg

* to: add SLTrainer

* refactor: refactor RMTrainer and SFTTrainer

* fix: fix init file

* feat: remove on_learn_epoch fn as not used

* fix: align with modified gemini arguments

* to: add OnPolicyTrainer

* revert: add _on_learn_epoch fn

* refactor: refactor PPOTrainer

* style: rename PPOTrainer argument

* fix: align with modified PPO arguments

* test: align with modified train_prompts arguments

* chore: modify train_prompts

* docs: align with modified arguments

* fix: remove unnecessary output

* fix: move dataloader to fit fn of SLTrainer

* fix: move dataloader to fit fn of OnPolicyTrainer

* fix: modify usage of prompt and pretrain dataloader

* fix some typos and problems in doc

* fix some typos and problems in doc

* add doc test

* copy resnet example

* add pytest package

* skip test_ci

* skip test_ci

* skip test_ci

* fix chat eval

* fix utils

* fix utils

* add comment

---------
Co-authored-by: Qianran Ma <qianranm@luchentech.com>

[gemini] Rename arguments in chunk configuration searching

* refactor: adapt boost API in base and naive strategies

* fix: initialize plugin after setup_distributed

* fix: fix save_pretrained fn

* refactor: adapt boost API in DDPStrategy

* to: add _post_init check

* to: fix ddp backward, modify ddp dataloader and unwrap

* feat: adapt boost API in ColossalAIStrategy

* fix: call setup_distributed before use get_current_device

* fix: fix save_model and save_optimizer

* test: remove save_sharded_optimizer test

* style: apply formatter

* fix: fix stage check and add comments

* feat: allow dict type arg in strategy.prepare

* to: temporarily remove lr_scheduler for testing

* style: simplify init of ColossalAIStrategy

* fix: fix lr_scheduler in sft and rm

* style: modify comments

* test: add train_prompts tests

* fix: fix inference only case and use in train_prompts

* test: skip failed tests in ci

* style: fix CodeFactor check

* fix: do not use model.to('cpu') with GeminiPlugin

* test: enable colossalai_gemini tests

* test: set CUDA_VISIBLE_DEVICES in ci

* docs: add note

* [devops] fix build on pr ci

* [devops] fix build on pr ci

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

[sync] sync develop to main

* feat: make optimizer optional in Booster.boost

* test: skip unet test if diffusers version > 0.10.2