* [Auto Parallel] Make Engine class callable (#46416)

* [Auto Parallel] Imporve the user-defined fetches and logging

* [Auto Parallel] Make Engine class callable

* [Auto Parallel] Update the data loading of tuner

* Print IPS in auto parallel Engine (#46554)

* [AutoParallel] fix dist_split (#46505)

* [AutoParallel] fix dist_split

* add unittest

* update cmakelist

* [AutoParallel] fix sharding (#46572)

* [AutoParallel] fix process_mesh (#46583)

* [AutoParallel] fix reshard when train with eval (#46605)

* [AutoParallel] fix reshard when train with eval

* fix mppp

* [AutoParallel] fix amp when predict (#46637)

* [Auto Parallel]Update comp cost and completion for gpt auto search (#46387)

* update comp cost and completion for gpt auto search

* add unittest

* [Auto Parallel] Fix bugs caused by the inconsistent outputs of Engine API (#46633)

* [Auto Parallel] Unify the logger and outputs of Engine API

* [Auto Parallel] Fix the bugs of to_static

* [Auto Parallel] Adjust the test_to_static.py

* [Auto Parallel] Improve the fine-grained APIs (#46552)

* [Auto Parallel] Suppport different dataloaders

* [Auto Parallel] Add num_shards config for dataset

* [Auto Parallel] Unify the logger and outputs of Engine API

* [Auto Parallel] Fix the bugs of to_static

* [Auto Parallel] Adjust the test_to_static.py

* [Auto Parallel] Add the prepare API and replace __call__ with run

* [Auto Parallel] Improve the private implementations of Engine

* [Auto Parallel] Set capacity of dataloader for opt tuning

* [Auto Parallel] [WIP] Change the fine-grained API

* [Auto Parallel] Improve APIs to support different user cases

* [Auto Parallel] Add removed config

* [Auto Parallel] Add imports

* [Auto Parallel] Fix bugs for to_static

* [Auto Parallel] Remove unnecessary imports

* bugfix (#46921)

* [Auto Parallel] Fix the bug for None labels (#46987)

* [AutoParallel] adapt for gpt-gen (#46771)

* for gpt-gen

* fix reshard

* adapt assign and shape op

* add dist_assign & unittest

* add conditional block unittest

* rename unittest

* [Auto Parallel] Fix the bug of completion (#47056)

* [Auto Parallel] Fix the bug for None labels

* [Auto Parallel] Fix the completion bug

* [AutoParallel] add callbacks (#47014)

* [AutoParallel] add callbacks

* fix unittest

* fix dist_context

* fix engine

* fix cmakelist

* fix unittest's returns

* fix cmakelist

* [Auto Parallel] Add cost interface (#47043)

* add cost interface

* update inferface and add unittest

* update unittest

* update inferface

* [Auto Parallel]Add parallel tuner (#46189)

* add parallel tuner

* add unittest

* fix unittest

* set timeout of unittest

* set unittest timeout

* fix auto_mode setting

* update unittest

* sync from develop and update unittest

* remove unused import

* update unittest

* update cmakelist

* add unittests
Co-authored-by: NYulong Ao <aoyulong@baidu.com>
Co-authored-by: NRuibiao Chen <chenruibiao@baidu.com>
Co-authored-by: Ncaozhou <48191911+Caozhou1995@users.noreply.github.com>
Co-authored-by: NJZ-LIANG <jianzhongliang10@gmail.com>

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* fix summary trainable_params bug

* docs_epoch1

* docs_epoch1

* update kron api docs

* update erfinv;test=document_fix

* subtract

* for ci;test=document_fix

* fix paddle.summary's bug when output contains non-tensor

* add input option in model.summary

* fix summary bug

* fix summary for rnn gru lstm

* rename manual_seed to seed

* rename xxx1d-->xxx1D, xxx2d-->xxx2D, xxx3d-->xxx3D

* rename manual_seed --> seed

* do not rename .cc, .cu and .h file

* rename manual_seed --> seed

* rename manual_seed --> seed

* rename manual_seed --> seed

* rename manual_seed --> seed

* disable_static on doc example code

* donot change manual_seed on generator

* add enable_static on sample code

* convert python/paddle/fluid/layers/nn.py to bak

* fix typo

* fix code style

* fix seed to manual_seed when call functions of Generator()

* fix bug

* keep summary mode unchange

* add no grad decorator

* reproduce summary api

* fix summary rnn

* fix kl_div bug when input shape is [1] and reduction is batchmean

* fix conv output_size has no default value bug
* fix summary bug

* add summary for hapi