GitLab

* [autoparallel] annotate pofo sequence

* [autoparallel] remove unused print

* [autoparallel] fix some code

* [fx/profiling] provide summary for MetaInfoProp.

* [fx/profiler] provide a table of summary.

* [fx] optimize table repr.

* [tensor] use communication autograd func

* change all to all comm spec info

* rename pattern and distinguish fwd/bwd

* polish code

* [autoparallel] add elementwise handler

* polish code

* polish code

* reduce skipped strategies range

* polish code

* [fx] modify offload codegen

* [fx] remove repeated hook definitions

* [fx] modify offload test

* [fx] tuned the meta info and rotor solver.

* [fx] remove import.

* [fx] remove import.

* [fx] remove import.

* [fx] tune the meta calculations.

* [fx] polish comments.

* [fx] remove assertions.

* [fx] modify test cases.

* [fx] modify test cases.

* [fx] optimize import.

* [fx

* remove forced FP32 modules

* correct no_shard-contexts' positions

* [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

* [fx] PoC of runtime shape consistency application

* polish code

* [fx] add pofo algorithm

* [fx] Add pofo solver

* [fx] code refactor

* [fx] fix test_linearize import

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

[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

* [autoparallel] add bcast op handler

* polish code

* add more BCAST FUNC OP

* polish code

* add exception handler

* polish

* [fx] add input activation offload to codegen

* [fx] modify unit test

* [fx] remove two skips in torch11

* [fx] use all_input_nodes instead of _input_nodes

* [fx] add some comment and docstrings.

* [fx] add dataflow analysis for an autograd graph.

* add intepretation for graph analysis.

* [fx] before doing save_tensor_hooks.

* [fx] provide an accurate estimation of memory except for GPT-2.

* [fx] provide an accurate estimation of memory except for GPT-2.

* [fx] provide an accurate estimation of memory except for GPT-2.

* [fx] a very accurate version on GPT-2.

* [fx] refactor code.

* [fx] remove redundant inplace=True.

* [fx] refactor code.

* [fx] refactor code.

* [fx] refactor code.

* [fx] dive into backward memory.

* [fx] fix variable names in ckpt_solvers and unskip tests.

* [fx] commit my changes.

* [fx] restore skips.

* [fx] restore skips.

* [fx] chaange stage into phase.

* [fx] chaange stage into phase.

* [fx] chaange stage into phase.

* [autoparallel] add reshape handler

* polish code

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

* [fx] add some comment and docstrings.

* [fx] add dataflow analysis for an autograd graph.

* add intepretation for graph analysis.

* [fx] before doing save_tensor_hooks.

* [fx] provide an accurate estimation of memory except for GPT-2.

* [fx] provide an accurate estimation of memory except for GPT-2.

* [fx] provide an accurate estimation of memory except for GPT-2.

* [fx] a very accurate version on GPT-2.

* [fx] refactor code.

* [fx] remove redundant inplace=True.

* [fx] refactor code.

* [fx] refactor code.

* [fx] refactor code.

* [fx] dive into backward memory.