* Add fusion_lstm INT8 PTQ

* Correct mkldnn_cache_capacity and enable fc_lstm_fuse_pass only for this test

* Change mkldnn_cache_capacity

* modify gc logic, use new device_event, test=develop

* use GenerateDeviceEventFlag, test=develop

* refine, test=develop

* fix test_standalone_executor.py, test=develop

* refine, test=develop

* merge dense

* log level

* tensor copy sync

* format

* add cache for send_recv

* add eval_batch for pipeline

* add eval batch for pipelineparallel

* add style code

* modify fetch logic, use D2H Stream, test=develop

* refine, test=develop

* support KL label smooth

* update UT for KL label_smooth

* polish code

* fix unittest on windows

* refine pybind interface

* support statistic MemSize of AllocatorPool

* Replace mutex into atomic

* update ernie int8

* Abstract GenerateDeviceEventFlag to shield platforms

* Remove get_cuda_flags

* Add calculation for gru op

* Correct the types

* Remove mkldnn only

* Correct mkldnn ifdef

* Remove mkldnn ifdef

* Separate mkldnn quantizer test

* Correct Windows test

* Check different cmake fix

* Revert cmake change

* Cmake change 2

* Cmake change 3

* add CPUDeiveEvent

* Polish DeviceEvent code

* Add DEVICE_EVENT_LIBS

* gc for newexecutor, test=develop

* refine, test=develop

* add interpretercore_gc_helper.h,test=develop

* backup

* gc whit thread and device_event, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* fix bug, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* add CheckGC, test=develop

* Modify into QueueSync QueueAsync

* fix complie on MacOS

* fix pointer

* fix conflict

* polish unittest

* fix windows fetch error

* polish code according reviewer

* fix device_guard on CPU place

* fix cmaklist for new executor, test=develop

* refine, test=develop

* refine, test=develop

* add fetch, test=develop

* fix fetch2op, test=develop

* fix fetch2op, test=develop

* refine, test=develop

* fix fetch ctx, test=develop

* add wait, test=develop

* rename fetch2 to fetch_v2, test=develop

* merge, test=develop

* add auto_parallel dir

* mv to paddle.distributed

* add shard_xx api

* add distributed attrs for var

* add ut, test=develop

* add dist

* update

* update

* update

* update

* update

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update, test=develop

* update

* update

* update

* update

* update

* update, test=develop

* update, test=develop

* update

* update

* delete unused proto

* resotre op_desc

* restore type_defs

* update var_desc

* remove dimss_mapping for proto_pybind

* update interface.py

* update framework.py

* update

* update

* add auto_parallel dir

* mv to paddle.distributed

* add shard_xx api

* add distributed attrs for var

* add ut, test=develop

* [WIP] Add the auto completion feature and related codes

* [WIP] Improve the auto completion and related codes

* [WIP] Make the auto completion to support data-parallel

* [WIP] Make the completion support mp and dp+mp

* [WIP] Refactor auto completion unit test for MLP

* [WIP] Refactor the implementation of DistributedOperatorImpl

* [WIP] Improve dims_mapping update rule and fix a bug

* [WIP] Support auto completion for one transformer decoder layer

* [WIP] Add a minor change

* [WIP] Fix a bug within the uint test

* Shard XShape tensor, add embedding completion and refactor code

* Add the distributed_operators dir to setup.py.in

* Improve the completion process and add the unittest for gpt

* fix process_mesh ut

* fix process_mesh ut

* update

* update, test=develop

* Add support for automatically completing distributed attrs of special ops

* update

* update

* update

* fix doc sample codes, test=develop

* improve coverage, test=develop

* add static_mode check, test=develop

* Model the cluster for cost model and physical mapping

* update, test=develop

* add set_placement, test=develop

* Add the check to make sure the candidate tensors' size is great than zero

* update doc, test=develop

* update doc, test=develop

* update doc, test=develop

* update doc, test=develop

* update, test=develop

* Auto mark dist attrs annotated by user

* update ndarray to nested list, test=develop

* update, test=develop

* Add auto-completion module for auto-parallel (based on PR#33804)

* Remove unnecessary files

* Remove unrelated files for the auto completion pr

* Update the unit test to improve the coverage

* Modify codes based on reviews

* Minor changes for CI

* Improve some codes based on new comments

* Fix bugs caused by shallow copy in attributes.py
* Imporve amend_distributed_attr_for_program in context.py
* Other changes for weihang's comments
Co-authored-by: Nsandyhouse <lilong12@baidu.com>

* add trainer desc config to distributed strategy

* code style modified

* data_feed set lod

* code refactoring, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

[Hybrid Performance] Move the cast op of AMP which cast fp32 param to fp16 param to the optimizer (#34965)

* fix ext_tensor.cast failed bug

* remove useless deps

* fix windows cmake failed

* try to fix windows make failed

* fix make error on windwos

* copy boost optional.hpp to paddle

* copy boost optional.hpp to paddle

* move directions

* del fluid/utils

* modify .hpp to .h

* move directions

* modify to paddle::optional

* add modification description

* format code stype for the files in paddle/utils

* format code stype

* add inplace passes and tests

* update

* fix use_cuda undefined
fix compile error of op compat

* add more ut

* fix CPU CI error

* check adam unique

* fix mac/windows ci, improve coverage

* fix ci error

* follow weihang's comment

* fix BlockDesc::MoveFrom

* follow qiuliang's comment

* update

* follow huihuang's comments

* Remove force_fp32_output from elementwise_add quantization

* Fix cpu_quantize_placement test

* Review related changes

* Fix a bug : can't load more than one custom op module

* Fix a bug : can't load more than one custom op module

* add test for load multiple modules of custom c++ op

* add config for Coverage CI

* fix_fc_reshape_convert

* fix