GitLab

* [fx] compute memory stat and flop count for MetaInfoProp.

* [fx] modify node attribute.

* [fx] modify ckpt_chen.

* [fx] fix compatibility.

* [fx] fix import error.

* [fx] skip test for MetaInfoProp.

* [fx] skip test for MetaInfoProp.

* [fx] skip test for MetaInfoProp.

* [fx] skip test for MetaInfoProp.

* [fx] skip if torch 1.11.0.

* [fx] recover MetaInfoProp support for PyTorch 1.11.

* [fx] provide a stable but not accurate enough version of profiler.

* [fx] provide a stable but not accurate enough version of profiler.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix compatibility in tests.

* [fx] fix import error.

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

* refactor parallel layer

* broadcast rank0 model after load ckpt

* fix init context

* fix lazy init ctx

* [fx] Add common node into linearize

* [fx] Add common node to solver

* [fx] support meta tracing for aten level computation graphs like functorch.

* [fx] support meta tracing for aten level computation graphs like functorch.

* [fx] remove redundant import.

* [fx] add docstring.

* [fx] modify solver linearize and add test

* [fx] add torch11 test of linearize but skip it

* [fx] remove some unused imports

* [fx] add test for meta tensor.

* [fx] add test for meta tensor.

* [fx] add test for meta tensor.

* [fx] add test for meta tensor.

* [fx] fix error.

[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

* [hotfix] avoid conflict of meta registry with torch 1.13.0.

* [hotfix] avoid conflict of meta registry with torch 1.13.0.

* [fx] fix wrong variable name in solver rotor

* [fx] fix wrong variable name in solver rotor

* [fx] fix the discretize bug

* [fx] fix the first op in activation checkpoint codegen

* [fx] fix some bugs of ckpt solver

* [fx] modify test_ckpt_torchvision

* [fx] set sequence to __sequence__ attr of GraphModule

* [fx] docstring modification

* [fx] remove performance test

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

* [fx] hack __torch_dispatch__ for meta tensor and autograd.

* [fx] hack __torch_dispatch__ for meta tensor and autograd.

* [fx] hack __torch_dispatch__ for meta tensor and autograd.

* [fx] hack __torch_dispatch__ for meta tensor and autograd.

* [fx] hack __torch_dispatch__ for meta tensor and autograd.

* [fx] add bad case detections.

* [fx] add bad case detections.

* [fx] rename MetaTensor attributes.

* [fx] fix unexpected error.

* [fx] fix unexpected error.

* [fx] fix unexpected error.

* [fx] fix unexpected error.

* [fx] fix unexpected error.

* [fx] add register backward for native_batch_norm_backward.

* [fx] add more meta backend support for nn.Modules.

* [fx] add meta backend to support timm and torchvision models.

* [fx] add meta hardswish for timm models.

* [autoparellel]add strategies constructor

* remove duplicated strategies

* polish code

* adapt cost graph with StrategiesConstructor

* polish

* [autoparallel] added liveness analysis

* remove memory cost

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

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

* [fx] fix wrong variable name in solver rotor

* [fx] fix wrong variable name in solver rotor

* code modification

* [fx] fix the discretize bug