* [Eager] Support SelectedRows in eager mode

* Remove unnecessary codes

* Adapt new dygraph flag

* update docs dtype(core.VarDesc.VarType)

* fix code style, test=document_fix

fix code style, test=document_fix
Co-authored-by: NChen Long <1300851984@qq.com>

* move assign value op kernel

* remove original op

* fix failed unittests

* remove infershape

* add adaround post-quant method

Enabled eager_mode for complex unit tests, except for test_complex_op.py and test_complex_view_op.py (#40887)

* perfect reshape kernel

* fix bugs of sig

* add unittest for reshape_sig

* fix bugs when run converage

* [Dy2Stat] Fix ForLoop Transformation with single return

* [Dy2Stat] Fix ForLoop Transformation with single return

* Refine test_lac.py for eager mode

* refine code

* Fix test_program_translator for eager

* Fix bug while specifying target grad in high order gradient

* add more unittest

* add more unittest

* add enum from nvinfer namespace to trt lower pattern

* update

* first version, maybe many errors

* refactor op_test

* fix compare list

* fix bg

* fix bugs

* fit for mkldnn and inplace op

* fix compile

* refine ut

* register op version

* fix inplace op

* fix transfer_layout

* support check data type and mutable_data with compiled infos in paddle with cinn

* update cinn_instruction_run_op_test with multi data type

* move slice to pten

* merge develop; test=develop

* fix slice bug;

* update

* update

* fix error

* update

* fix bug

* polish code

* polish code

* polish code

* try to fix windows bug

* add gpu compile flag;

* try to fix

* remov template;

* polish code;

* fix npu bug;

* fix npu bug

* fix npu bug; test=develop

* fix slice bug;

* remove no need dep

* Make StreamSafeCUDAAllocator compatible with NaiveBestFit strategy

* Set FLAGS_use_stream_safe_cuda_allocator to false

* Update

* Remove unnecessary code

* Fix CI errors

* Add UT

* [NPU] fix npu cast ut

* [NPU] fix npu cast ut

* fix inplace bug in final_state eager_gen

* fix python_c_gen

* fix amp with optiontional api bug

* refine optional code for amp

* add string tensor and case convert kernels

* Add strings empty kernel; Reorganize the structure of case convert kernel

* Add string infermeta

* Update mutable_data of string tensor

* rename kernel name

* add string copy tmp

* Fix strings copy device bug

* add utf8 gpu converter

* add string tensor c++ api

* Remove mutable_data of string tensor

* update string tensor interface

* remove charcases_flag.h

* remove some fluid headers

* Add make_ddim

* __HIPCC__ -> PADDLE_WITH_HIP

* remove fluid headers

* fix cpu compile

* remove std::hash

* Fix cudaMalloc

* Remove strings/impl directory

* Fix infrt/get_phi_kernel_info.py;Add custom_kernels deps

* Add empty kernel test

* Remove some comments

* Modify lower/upper api encoding type: string->bool

* STRING->PSTRING; Add CreateInferLikeMeta

* Add code gen for C++ String API

* remove strings_api_utils.h

* Add ignore file (strings_api.h, strings_api.cc)

* update strings gen script

* change args order of case convert kernels

* Add comments for pstring, StringTensor

* cpstring_internal.h -> cpstring_impl.h

* Update accordding to comments:

1. Remove fluid headers
2. paddle::platform::errors -> phi::errors
3. Use 'place.GetType() == phi::AllocationType::GPU' instead of 'paddle::platform::is_cpu_space()'
4. Use camel code style

* Remove all singletons in strings kernels

* fix rocm compile

* Fix py3 compile

* Fix c++ coverage

* 1. Add pstring proto type
2. Add StringTensor debug info
3. Rename case_convert_kernel to strings_lower_upper
4. Remove serialize derialize strings kernel

* DataLayout::PSTRING -> DataLayout::PSTRING_UNION

* Register pstring data type

* Fix strings api gen

* Fix dense tensor register pstring dtype

* Fix error messages

* remove line

* add pstring unittest

* remove test string api unitest

* remove empty line

* Remove some headers to decrease the size of executable file

* add amp for final status

* solve compile error

* move mean infershape into phi

* try to run ci

* share layout for mkldnn

* revert grad infershape

* revert grad infershape

* update

* remove useless code

* remove label smooth test

* polish code

* polish code

* polish code

* remove _in_eager_mode error;

* fix lars optitmizer bug

* Update optimizer.py

* fix doc for enable api

* test=document_fix

* [Auto Parallel] Support the auto completion of while_op
* align infer  accuracy

* update register every make.

* fix

* update