GitLab

* [legacy] move trainer to legacy

* [doc] update docs related to trainer

* [test] ignore legacy test

* [gemini] remove distributed-related part from colotensor (#4379)

* [gemini] remove process group dependency

* [gemini] remove tp part from colo tensor

* [gemini] patch inplace op

* [gemini] fix param op hook and update tests

* [test] remove useless tests

* [test] remove useless tests

* [misc] fix requirements

* [test] fix model zoo

* [test] fix model zoo

* [test] fix model zoo

* [test] fix model zoo

* [test] fix model zoo

* [misc] update requirements

* [gemini] refactor gemini optimizer and gemini ddp (#4398)

* [gemini] update optimizer interface

* [gemini] renaming gemini optimizer

* [gemini] refactor gemini ddp class

* [example] update gemini related example

* [example] update gemini related example

* [plugin] fix gemini plugin args

* [test] update gemini ckpt tests

* [gemini] fix checkpoint io

* [example] fix opt example requirements

* [example] fix opt example

* [example] fix opt example

* [example] fix opt example

* [gemini] add static placement policy (#4443)

* [gemini] add static placement policy

* [gemini] fix param offload

* [test] update gemini tests

* [plugin] update gemini plugin

* [plugin] update gemini plugin docstr

* [misc] fix flash attn requirement

* [test] fix gemini checkpoint io test

* [example] update resnet example result (#4457)

* [example] update bert example result (#4458)

* [doc] update gemini doc (#4468)

* [example] update gemini related examples (#4473)

* [example] update gpt example

* [example] update dreambooth example

* [example] update vit

* [example] update opt

* [example] update palm

* [example] update vit and opt benchmark

* [hotfix] fix bert in model zoo (#4480)

* [hotfix] fix bert in model zoo

* [test] remove chatglm gemini test

* [test] remove sam gemini test

* [test] remove vit gemini test

* [hotfix] fix opt tutorial example (#4497)

* [hotfix] fix opt tutorial example

* [hotfix] fix opt tutorial example

* add some base tests and policies

* finish whisper base model

* add conditional generation

* finish basic tests

* whisper

* finish whisper

* finish whisper

* del useless  whisper test

* fix

* add argmin to replace

* finish revision

* support interleaved pipeline

* fix unit test

* remove virtual stage test in stage mgr

* add droped type hint and updated bwd

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

* add pipeline policy and bert forward to be done

* add bertmodel pipeline forward and make tests

* add Bert_Policy and test for policy

* update formatting

* update formatting

* update the code

* fix bugs

* fix name confilt

* add bloom model and policy ,revise the base class of policy

* revise

* revision

* add bert_for_pretraining

* add bert_for_pretraining forward and policy

* fix typos

* cancel warning

* change the imediate output to default dict

* change the default output of get_shared_params

* add chatglm

* add

* chatglm

* chatglm

* finish chatglm

* deletes

* fix rmsnorm

* chatglm

* fix chatglm shard

* init

* refactor tests

* refactor bloom model

* finish policy tests

* refactor tests

* fix test pure pipeline

* remove test pipeline and cutdown launch process

* refactor tests

* refactor bloom model

* finish policy tests

* refactor tests

* fix test pure pipeline

* remove test pipeline and cutdown launch process

* add unit test for 1f1b

* polish code

* polish code and update ut version

* fix

* modify t5 policy & add test

* pipeline stage distribution for t5

* complete t5 base policy

* t5 stack: halfway

* modify gpt2 pipeline test

* complete pipeline forward for T5Stack/T5EncoderModel

* fix docstring

* move t5 util tests to test_pipeline

* opt forward and test

* pause

* finish opt model pipeline

* finish opt pipeline

* opt forward and test

* pause

* finish opt model pipeline

* finish opt pipeline

* fix opt

* set transformers version

* refactor the test pipeline

* bloom policy

* llama pipeline forward and tests

* fix the output and attention_mask

* fix name

* bind argument to policy

* Revert "bloom policy"

This reverts commit 8dee68a0a22568dbeed6d4563372b25e1e825fb0.

This policy should be revert and copied to feature/bloom

* revert the bloom changes

* cancel unneeded inputs

* gpt

* finish llama

* causal lm and sequence classification

* revision

* add pure pipeline test

* finish some bert models

* finish all bert models

* finish bert tests

* fix bugs

* fix bugs

* fix test pipeline

* fix data gen for qa

* update the set pipeline forward

* shared params

* fix bugs

* move bert related pipeline components to shardformer

* fix bugs

* revision

* fix bert model tests

* fix bert_lm_head model tests

* fix tests

* fix tests

* done checks

* skip bloom

* add pipeline policy and bert forward to be done

* add bertmodel pipeline forward and make tests

* add Bert_Policy and test for policy

* update formatting

* update formatting

* update the code

* fix bugs

* fix name confilt

* add bloom model and policy ,revise the base class of policy

* revise

* revision

* add bert_for_pretraining

* add bert_for_pretraining forward and policy

* fix typos

* cancel warning

* change the imediate output to default dict

* change the default output of get_shared_params

* add pipeline policy and bert forward to be done

* add bertmodel pipeline forward and make tests

* add Bert_Policy and test for policy

* update formatting

* update formatting

* update the code

* fix bugs

* fix name confilt

* add bloom model and policy ,revise the base class of policy

* revise

* revision

* add bert_for_pretraining

* add pipeline policy and bert forward to be done

* add bertmodel pipeline forward and make tests

* add Bert_Policy and test for policy

* update formatting

* update formatting

* update the code

* fix bugs

* fix name confilt

* [pipeline] add stage manager

* [test] add pipeline stage manager test

* [pipeline] add docstring for stage manager

* add pipeline policy and bert forward to be done

* add bertmodel pipeline forward and make tests

* add Bert_Policy and test for policy

* update formatting

* update formatting

* update the code

* fix bugs

* fix name confilt

* [api] update optimizer wrapper to fit pipeline

* [pipeline] add base schedule

* [pipeline] add 1f1b schedule

* [test] add pipeline schedule utils test

* [pipeline] fix import

* [pipeline] add p2p communication

* [test] add p2p communication test

* [test] add rerun decorator

* [test] rename to avoid conflict

* [pipeline] add stage manager

* [test] add pipeline stage manager test

* [pipeline] add docstring for stage manager

* [test] added spawn decorator

* polish code

* polish code

* polish code

* polish code

* polish code

* polish code

* add bwd and step for PP middleware

* pre-commit
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>

* add DAG test case

* fix datarace by adjusting theposition of lock

* polish code

* fix pytest for middleware

* remove test
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>

* adapt scheduler for Topo

* remoove comment

* fix set input
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>

* add DAG to split_module

* add comment

* add test case for DAG

* remove print

* add DAG middleware in scheduler

* add test case for scheduler

* remove break

* recover old lifecycle
Co-authored-by: Ziyue Jiang <ziyue.jiang@gmail.com>

[fx/meta/rpc] move _meta_registration.py to fx folder / register fx functions with compatibility checks / remove color debug (#1710)

* [fx] move meta registration

* [fx] fix tests.

* [fx] fix test.

* [fx] fix.

* [meta] refactor meta registration.py.

* [fx] add compatibility descriptions.

* [fx] polish import.

* [fx] add a decorator.

* [fx] fix tests.

* [fx] remove print.

* [fx] edit raise error.

* [fx] edit raise error.

* [fx] add type hint.

* [fx] fix import in experimental.

* [rpc] remove color debug.

* [meta] fix naming.

[pipeline/pytree] add pytree to process args and kwargs | provide `data_process_func` to process args and kwargs after forward (#1642)

* [pipeline/tuning] improve dispatch performance both time and space cost

* [pipeline/converge] add interface for testing convergence

* [NFC] polish colossalai/utils/multi_tensor_apply/multi_tensor_apply.py code style

* Update PipelineBase.py

* [pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera

* [pipeline/chimera] test chimera | fix bug of initializing

* [pipeline/pytree] add pytree to process args and kwargs | provide  to process args and kwargs after forward

* [pipeline/tuning] improve dispatch performance both time and space cost

* [pipeline/converge] add interface for testing convergence

* [NFC] polish colossalai/utils/multi_tensor_apply/multi_tensor_apply.py code style

* Update PipelineBase.py

* [pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera

* [pipeline/chimera] test chimera | fix bug of initializing

[pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera (#1595)

* [pipeline/tuning] improve dispatch performance both time and space cost

* [pipeline/converge] add interface for testing convergence

* [NFC] polish colossalai/utils/multi_tensor_apply/multi_tensor_apply.py code style

* Update PipelineBase.py

* [pipeline/chimera] reconstruct PipelineBase and Worker to support more feasible custom schedule | finish Chimera

[pipeline/pipleline_process_group] finish PipelineProcessGroup to manage local abd global rank in TP,DP and PP (#1508)

* support p2p communication with any type of object | pass test

* reconstruct pipeline schedule with p2p_v2.py(support communication with List[Any]) | pass test

* [engin/schedule] use p2p_v2 to recontruct pipeline_schedule

* [pipeline/rpc] implement a demo for PP with cuda rpc framework

* [pipeline/rpc] support interleaving | fix checkpoint bug | change logic when dispatch data in work_list to ensure steady 1F1B

* [pipeline/rpc] implement distributed optimizer | test with assert_close

* [pipeline/rpc] implement distributed optimizer | test with assert_close

* [pipeline/rpc] update outstanding mechanism | optimize dispatching strategy

* [pipeline/rpc] update outstanding mechanism | optimize dispatching strategy

* [pipeline/rpc] update outstanding mechanism | optimize dispatching strategy

* [pipeline/pipleline_process_group] finish PipelineProcessGroup to manage local abd global rank in TP,DP and PP

* [pipeline/pipleline_process_group] remove comment

* [pipeline/pipleline_process_group] remove comment

* [pipeline/pipleline_process_group] skip process group test

* [pipeline/pipleline_process_group] remove test named function

* support p2p communication with any type of object | pass test

* reconstruct pipeline schedule with p2p_v2.py(support communication with List[Any]) | pass test

* [engin/schedule] use p2p_v2 to recontruct pipeline_schedule

* [pipeline/rpc] implement a demo for PP with cuda rpc framework

* [pipeline/rpc] support interleaving | fix checkpoint bug | change logic when dispatch data in work_list to ensure steady 1F1B

* [pipeline/rpc] implement distributed optimizer | test with assert_close

* [pipeline/rpc] implement distributed optimizer | test with assert_close

* [pipeline/rpc] update outstanding mechanism | optimize dispatching strategy

* [pipeline/rpc] update outstanding mechanism | optimize dispatching strategy

* [pipeline/rpc] update outstanding mechanism | optimize dispatching strategy

* support p2p communication with any type of object | pass test

* reconstruct pipeline schedule with p2p_v2.py(support communication with List[Any]) | pass test

* [engin/schedule] use p2p_v2 to recontruct pipeline_schedule

* [pipeline/rpc] implement a demo for PP with cuda rpc framework

* [pipeline/rpc] support interleaving | fix checkpoint bug | change logic when dispatch data in work_list to ensure steady 1F1B

* [pipeline/rpc] implement distributed optimizer | test with assert_close

* [pipeline/rpc] implement distributed optimizer | test with assert_close

[pipeline/rpc] support interleaving | fix checkpoint bug | change logic when dispatch data in work_list to ensure steady 1F1B (#1483)

* support p2p communication with any type of object | pass test

* reconstruct pipeline schedule with p2p_v2.py(support communication with List[Any]) | pass test

* [engin/schedule] use p2p_v2 to recontruct pipeline_schedule

* [pipeline/rpc] implement a demo for PP with cuda rpc framework

* [pipeline/rpc] support interleaving | fix checkpoint bug | change logic when dispatch data in work_list to ensure steady 1F1B

* support p2p communication with any type of object | pass test

* reconstruct pipeline schedule with p2p_v2.py(support communication with List[Any]) | pass test

* [engin/schedule] use p2p_v2 to recontruct pipeline_schedule

* [pipeline/rpc] implement a demo for PP with cuda rpc framework

* Delete p2p_v2.py

* Delete _pipeline_schedule_v2.py

* Delete test_object_list_p2p_v2.py

* Delete test_boardcast_send_recv_v2.py

* Delete test_cifar_with_data_pipeline_tensor_v2.py

* [pipeline] refactor the pipeline module

* polish code