GitLab

* 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>

* 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/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/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