* add slim resnet50 quant model in pr-ci-inference

* enable resnet50_quant multi_thread4_trt_int8_bz1

* remove LOG(FATAL)

Add dimension check for inverse to avoid dividing by 0 error when input's shape is [0, 0, 0]. (#34996)

* fix batch_norm and instance norm when input is []

* notest;test=gpu-inference

* notest;test=gpu-inference

* notest;test=gpu-inference

* notest;test=gpu-inference

* fix error

* notest;test=gpu-inference

* notest;test=gpu-inference

* notest;test=gpu-inference

* test=gpu-inference

* add device_context

* add gtest for device_event_gpu

* Remvoe duplicate DeviceType

* push for test

* add unittest

* fix macros

* fix MSVC using usage

* [npu]add rmsprop op

* Add NPU kernel for norm Op: float16 and float32

* fix code for code review

* fix for code review

* add type for paddle_throw

* remove unnecessary head file.\nAdd more testcase

* remove a broadcast

* fix pad outliers err

* fix pad api input type and doc

* fix example of pad

* add unittest for pad3d

* fix unittest

* fix error format

* fix pad doc

* code refactoring, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* test=develop

* test=develop

* test=develop

* test=develop

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

[CPU-PSLIB] Add consistency insepection of use_var_list and data_generator data, test=develop (#34463)

* fix ext_tensor.cast failed bug

* remove useless deps

* fix windows cmake failed

* try to fix windows make failed

* fix make error on windwos

* Add function to disable paddle signal handler

Paddle used google::InstallFaultSignalHandler to handle selected system signals,
mainly for debugging and bug report purposes.

However, this can be conflicted with other python packages whoever captures similar signals.
Such python package involves tvm and more

To resolve this issue, we support a function to disable signal handler

* Remove signal test from WIN32 platform

* Remove redundant return from disable_signal_handler() function

* Add detailed messages to en_doc

* add retry for HcclGetRootInfo

* refine code

* reduce retry interval

* support class center sample of PartialFC

* unitest_quant_dequant

* fix

* fix

* deleted: test_trt_quant_conv2d_dequant_fuse_pass.py

* fix

* fix op-benchmark

* test=document_fix

* 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

* - disabled caching of layer norm

- fix in compilation

- compilation fix

- transpose caching disabled

- compilation fix

- more compilation fixes

- sum caching disabled

- compilation fix

* - LRN with disabled cache

* lint fixes

* add exclude rules of pre-commit to paddle/utils and third_party

* remove exclude direction distributed/third_party

* remove exclude of paddle/utils for format cpplint check

* polish unittest.

* polish code

* polish code

* [bug fix] fix unfold negative_size_param

* add mkl multi-thread test cases

* fix codestyle

* fix codestyle & enable ernie mkl test

* dygraph support more ctc grad scale

* scale for 1.x

* fix unitest

* fix unitest

* format code

* fix unittest

* fix log info

* unittest cov

* fix format;notest,test=cpu,coverage

* skip ctc_loss egs;test=cpu

* warpctc grad cov;test=coverage

* add dygraph test;test=coverage

* format;test=cpu,coverage

* format;test=cpu

* add api compat;test=cpu

* add cpu test

* rename

* rename

* fix

* fix test

* format

* eigen cpu

* eigen gpu grad pass

* cuda gpu pass

* format

* fix ci

* 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

* fix drop_last not work in IterableDataset. test=develop