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Apr 20, 2023
Merged

L#24
jamesthesnake merged 36 commits intocofrom
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chengeharrison and others added 30 commits April 12, 2023 15:47
…ming format of hf checkpoint files (hpcaitech#3479)

* [checkpoint] support huggingface style sharded checkpoint, to be compatible with hf file naming format

* [checkpoint] support huggingface style sharded checkpoint, to be compatible with hf file naming format

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

---------

Co-authored-by: luchen <luchen@luchendeMacBook-Pro.local>
Co-authored-by: luchen <luchen@luchendeMBP.lan>
* [gemini] fix nvme optimizer init

* [gemini] gemini supports lazy init

* [gemini] add init example

* [gemini] add fool model

* [zero] update gemini ddp

* [zero] update init example

* add chunk method

* add chunk method

* [lazyinit] fix lazy tensor tolist

* [gemini] fix buffer materialization

* [misc] remove useless file

* [booster] update gemini plugin

* [test] update gemini plugin test

* [test] fix gemini plugin test

* [gemini] fix import

* [gemini] fix import

* [lazyinit] use new metatensor

* [lazyinit] use new metatensor

* [lazyinit] fix __set__ method
Fixing document link errors using absolute paths
Format Optimization ,Add [] outside of DeepSpeed
* [chat] clean up duplicate tutorial

* [chat] clean up duplicate tutorial

* [chat] clean up duplicate tutorial

* [chat] clean up duplicate tutorial
* [feat][chatgpt]train prompts on ray example

* [fix]simplify code

* [fix]remove depreciated parameter

* [fix]add dependencies

* [fix]method calling

* [fix]experience maker

* [fix]missing loss function

* [fix]init optimizer

* [feat]add usage comment

* [fix]rename files

* [fix]add readme

* [fix]file path

* [fix]move directory

---------

Co-authored-by: jiangwen <zxl265370@antgroup.com>
Display format optimization, fix bug#3562
Specific changes
1. "This is called a column-parallel fashion" Translate to Chinese
2. use the ```math code block syntax to display a math expression as a block, No modification of formula content

Please check that the math formula is displayed correctly
If OK, I will change the format of the English version of the formula in parallel
* [misc] add print verbose

* [gemini] add print verbose

* [zero] add print verbose for low level

* [misc] add print verbose for op builder
Display format optimization , same as fix#3562
Simultaneous modification of en version
* run the base

* working on dist ppo

* sync

* detached trainer

* update detached trainer. no maker update function

* facing init problem

* 1 maker 1 trainer detached run. but no model update

* facing cuda problem

* fix save functions

* verified maker update

* nothing

* add ignore

* analyize loss issue

* remove some debug codes

* facing 2m1t stuck issue

* 2m1t verified

* do not use torchrun

* working on 2m2t

* working on 2m2t

* initialize strategy in ray actor env

* facing actor's init order issue

* facing ddp model update issue (need unwarp ddp)

* unwrap ddp actor

* checking 1m2t stuck problem

* nothing

* set timeout for trainer choosing. It solves the stuck problem!

* delete some debug output

* rename to sync with upstream

* rename to sync with upstream

* coati rename

* nothing

* I am going to detach the replaybuffer from trainer and make it a Ray Actor. Two benefits: 1. support TP trainer. 2. asynchronized buffer operations

* experience_maker_holder performs target-revolving _send_experience() instead of length comparison.

* move code to ray subfolder

* working on pipeline inference

* apply comments

---------

Co-authored-by: csric <richcsr256@gmail.com>
Optimization Code
I think there were two extra $ entered here, which have been deleted
* [gemini] support state dict shard

* [gemini] add test state dict shard

* [gemini] polish docstr

* [gemini] fix merge

* [gemini] polish code
Adjusted the style of Community Examples to be consistent with other titles
update

Update test_ci.sh

Update test_ci.sh

Update test_ci.sh

Update test_ci.sh

Update test_ci.sh

Update test_ci.sh

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update test_ci.sh

Update test_ci.sh

update

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

update ci

Update test_ci.sh

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml

Update test_ci.sh

Update test_ci.sh

Update run_chatgpt_examples.yml

Update test_ci.sh

Update test_ci.sh

Update test_ci.sh

update test ci

RoBERTa for RLHF Stage 2 & 3 (still in testing)

Revert "Add RoBERTa for RLHF Stage 2 & 3 (test)"

This reverts commit 06741d8.

Add RoBERTa for RLHF stage 2 & 3

1. add roberta folder under model folder
2. add  roberta option in train_reward_model.py
3. add some test in testci

Update test_ci.sh

Revert "Update test_ci.sh"

This reverts commit 9c7352b.

Add RoBERTa for RLHF Stage 2 & 3 (test)

RoBERTa for RLHF Stage 2 & 3 (still in testing)

Revert "Add RoBERTa for RLHF Stage 2 & 3 (test)"

This reverts commit 06741d8.

Add RoBERTa for RLHF stage 2 & 3

1. add roberta folder under model folder
2. add  roberta option in train_reward_model.py
3. add some test in testci

Update test_ci.sh

Revert "Update test_ci.sh"

This reverts commit 9c7352b.

update roberta with coati

chat ci update

Revert "chat ci update"

This reverts commit 17ae7ae.

[test]chat_update_ci

Update test_ci.sh

Update test_ci.sh

test

Update gpt_critic.py

Update gpt_critic.py

Update run_chatgpt_unit_tests.yml

update test ci

update

update

update

update

Update test_ci.sh

update

Update test_ci.sh

Update test_ci.sh

Update run_chatgpt_examples.yml

Update run_chatgpt_examples.yml
* [meta] fix torch 1.13.1

* [meta] fix torch 2.0.0

* [meta] fix torch 1.13.0

* [meta] polish code
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
Optimization Code
The source code has not been modified, only a few spelling errors in the comments have been changed
Co-authored-by: github-actions <github-actions@github.com>
* [gemini] save state dict support fp16

* [gemini] save state dict shard support fp16

* [gemini] fix state dict

* [gemini] fix state dict
Optimization Code
change "requries" to "requires"
digger-yu and others added 6 commits April 19, 2023 17:28
Optimization Code
change "vairable" to "variable"
Fixed several word spelling errors
change "compatiblity" to "compatibility" etc.
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
@jamesthesnake jamesthesnake merged commit d4e4396 into co Apr 20, 2023
jamesthesnake pushed a commit that referenced this pull request Jun 7, 2023
* Detached ppo (#9)

* run the base

* working on dist ppo

* sync

* detached trainer

* update detached trainer. no maker update function

* facing init problem

* 1 maker 1 trainer detached run. but no model update

* facing cuda problem

* fix save functions

* verified maker update

* nothing

* add ignore

* analyize loss issue

* remove some debug codes

* facing 2m1t stuck issue

* 2m1t verified

* do not use torchrun

* working on 2m2t

* working on 2m2t

* initialize strategy in ray actor env

* facing actor's init order issue

* facing ddp model update issue (need unwarp ddp)

* unwrap ddp actor

* checking 1m2t stuck problem

* nothing

* set timeout for trainer choosing. It solves the stuck problem!

* delete some debug output

* rename to sync with upstream

* rename to sync with upstream

* coati rename

* nothing

* I am going to detach the replaybuffer from trainer and make it a Ray Actor. Two benefits: 1. support TP trainer. 2. asynchronized buffer operations

* experience_maker_holder performs target-revolving _send_experience() instead of length comparison.

* move code to ray subfolder

* working on pipeline inference

* apply comments

* working on pipeline strategy. in progress.

* remove pipeline code. clean this branch

* update remote parameters by state_dict. no test

* nothing

* state_dict sharding transfer

* merge debug branch

* gemini _unwrap_model fix

* simplify code

* simplify code & fix LoRALinear AttributeError

* critic unwrapped state_dict

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] add perfomance evaluator and fix bugs (#10)

* [chat] add performance evaluator for ray

* [chat] refactor debug arg

* [chat] support hf config

* [chat] fix generation

* [chat] add 1mmt dummy example

* [chat] fix gemini ckpt

* split experience to send (#11)

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] refactor trainer and maker (#12)

* [chat] refactor experience maker holder

* [chat] refactor model init

* [chat] refactor trainer args

* [chat] refactor model init

* [chat] refactor trainer

* [chat] refactor experience sending logic and training loop args (#13)

* [chat] refactor experience send logic

* [chat] refactor trainer

* [chat] refactor trainer

* [chat] refactor experience maker

* [chat] refactor pbar

* [chat] refactor example folder (#14)

* [chat] support quant (#15)

* [chat] add quant

* [chat] add quant example

* prompt example (#16)

* prompt example

* prompt load csv data

* remove legacy try

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] add mmmt dummy example and refactor experience sending (#17)

* [chat] add mmmt dummy example

* [chat] refactor naive strategy

* [chat] fix struck problem

* [chat] fix naive strategy

* [chat] optimize experience maker sending logic

* [chat] refactor sending assignment

* [chat] refactor performance evaluator (#18)

* Prompt Example & requires_grad state_dict & sharding state_dict (#19)

* prompt example

* prompt load csv data

* remove legacy try

* maker models require_grad set to False

* working on zero redundancy update

* mmmt_prompt example; naive strategy requires_grad state_dict & sharding; maker model requires_no_grad.

* remove legacy examples

* remove legacy examples

* remove replay buffer tp state. bad design

---------

Co-authored-by: csric <richcsr256@gmail.com>

* state_dict sending adapts to new unwrap function (#20)

* prompt example

* prompt load csv data

* remove legacy try

* maker models require_grad set to False

* working on zero redundancy update

* mmmt_prompt example; naive strategy requires_grad state_dict & sharding; maker model requires_no_grad.

* remove legacy examples

* remove legacy examples

* remove replay buffer tp state. bad design

* opt benchmark

* better script

* nothing

* [chat] strategy refactor unwrap model

* [chat] strategy refactor save model

* [chat] add docstr

* [chat] refactor trainer save model

* [chat] fix strategy typing

* [chat] refactor trainer save model

* [chat] update readme

* [chat] fix unit test

* working on lora reconstruction

* state_dict sending adapts to new unwrap function

* remove comments

---------

Co-authored-by: csric <richcsr256@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>

* [chat-ray] add readme (#21)

* add readme

* transparent graph

* add note background

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] get images from url (#22)

* Refactor/chat ray (#23)

* [chat] lora add todo

* [chat] remove unused pipeline strategy

* [chat] refactor example structure

* [chat] setup ci for ray

* [chat-ray] Support LoRA trainer. LoRA weights reconstruction. (#24)

* lora support prototype

* lora support

* 1mmt lora & remove useless code

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] fix test ci for ray

* [chat] fix test ci requirements for ray

* [chat] fix ray runtime env

* [chat] fix ray runtime env

* [chat] fix example ci docker args

* [chat] add debug info in trainer

* [chat] add nccl debug info

* [chat] skip ray test

* [doc] fix typo

---------

Co-authored-by: csric <59389055+CsRic@users.noreply.github.com>
Co-authored-by: csric <richcsr256@gmail.com>
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