GitLab

* fix readme

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

for more information, see https://pre-commit.ci



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

* [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>

[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

* Add dpo. Fix sft, ppo, lora. Refactor all

* fix and tested ppo

* 2 nd round refactor

* add ci tests

* fix ci

* fix ci

* fix readme, style

* fix readme style

* fix style, fix benchmark

* reproduce benchmark result, remove useless files

* rename to ColossalChat

* use new image

* fix ci workflow

* fix ci

* use local model/tokenizer for ci tests

* fix ci

* fix ci

* fix ci

* fix ci timeout

* fix rm progress bar. fix ci timeout

* fix ci

* fix ci typo

* remove 3d plugin from ci temporary

* test environment

* cannot save optimizer

* support chat template

* fix readme

* fix path

* test ci locally

* restore build_or_pr

* fix ci data path

* fix benchmark

* fix ci, move ci tests to 3080, disable fast tokenizer

* move ci to 85

* support flash attention 2

* add all-in-one data preparation script. Fix colossal-llama2-chat chat template

* add hardware requirements

* move ci test data

* fix save_model, add unwrap

* fix missing bos

* fix missing bos; support grad accumulation with gemini

* fix ci

* fix ci

* fix ci

* fix llama2 chat template config

* debug sft

* debug sft

* fix colossalai version requirement

* fix ci

* add sanity check to prevent NaN loss

* fix requirements

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* update readme

* update readme

* update readme and ignore

* fix logger bug

* support parallel_output

* modify data preparation logic

* fix tokenization

* update lr

* fix inference

* run pre-commit

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

* 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

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

* fix: simplify merge_batch

* fix: use return_outputs=False to eliminate extra memory consumption

* feat: add return_outputs warning

* style: remove `return_outputs=False` as it is the default value

* [doc] update open-sora demo

* [doc] update open-sora demo

* [doc] update open-sora demo

* add stream chat for chat version

* remove os.system clear

* modify function name

Signed-off-by: hugo-syn <hugo.vincent@synacktiv.com>

* [doc] sora release

* [doc] sora release

* [doc] sora release

* [doc] sora release

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* [llama] refactor inference example to fit sft

* [llama] fix training script to fit gemini

* [llama] fix inference script

* [moe] add mixtral block for single expert

* [moe] mixtral block fwd support uneven ep

* [moe] mixtral block bwd support uneven ep

* [moe] add mixtral moe layer

* [moe] simplify replace

* [meo] support save sharded mixtral

* [meo] support load sharded mixtral

* [meo] support save sharded optim

* [meo] integrate moe manager into plug

* [meo] fix optimizer load

* [meo] fix mixtral layer

* [moe] top2 allow uneven input

* [moe] update capacity computing

* [moe] remove debug info

* [moe] update capacity computing

* [moe] update capacity computing

* [llama] fix memory issue

* [llama] add comment

* [llama] update training script

* [doc] polish docstr

* [plugin] refactor prepare dataloader

* [plugin] update train script

* fix script

* fix script

* fix chat nan

* fix chat nan

[NFC] polish applications/Colossal-LLaMA-2/colossal_llama2/tokenizer/init_tokenizer.py code style (#5228)

* update accelerator

* fix timer

* fix amp

* update

* fix

* update bug

* add error raise

* fix autocast

* fix set device

* remove doc accelerator

* update doc

* update doc

* update doc

* use nullcontext

* update cpu

* update null context

* change time limit for example

* udpate

* update

* update

* update

* [npu] polish accelerator code

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Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

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