* [Performance]Set ShapeKernel with ALL_BACKEND and ALL_LAYOUT

* [Performance]Set ShapeKernel with ALL_BACKEND and ALL_LAYOUT

* Add gpudnn yaml config for some OPs

* Add grad gpudnn config

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix conflicts

* Fix leading dimension setting error in fused_gemm_epilogue_grad_op.

* Add dyload to cuBlasLt functions.

* Added cublasLtMatmulAlgoGetHeuristic to improve performance.

* Added FLAGS_cublaslt_exhaustive_search_times to cublasLt epilogue

* Added UTs to FLAGS_cublaslt_exhaustive_search_times

* Added warmup runs in algo searching of Gemm epilogue.

* Update copyright and documents.

* Fixed error handling.

* optimiaze performance of PreparePhiData

* dygraph performance optimization

* fix memory issue for eager

* fix bug

* [CustomDevice] fix macro

* fix

* support int16 argmax kernel

* add fp16 test

* 增加logspace的算子描述

* 增加logspace的形状推断

* 增加logspace核函数实现

* 在python中增加logspace接口

* 增加logspace单测

* 增加logspace

* Update logspace_kernel.cu

* Update logspace_op.cc

* 调整代码格式

* Update doc of logspace

* Update tensor.py

* Update logspace_op.cc

* Update logspace_kernel.cc

* Update logspace_kernel.cu

* Update test_logspace.py

* 调整 logspace 的位置

* 调整代码格式

* changes for md in tensor

* ci fix

* Temporarily limited dims for test

* ci fix

* removed unnecessary includes

* added reviewers suggestions

* checkouted two files to avoid changing more than 19 in single PR

* minor fix

* reverted one file to reduce files changed to 19

* fix pad3d infer shape

[Phi]Separate AddKernel/DivideKernel/SubtractKernel/MultiplyKernel from ElementwiseKernel（Part1） (#41806)

* seperate add/div/sub/mul from elementwise

* delete code

* fix compile bugs

* deal with conflict

* fix bugs when compile

* fix windows unit test bug

* fix ci converage bugs

* [Phi]Fix expand_sig infershape BUG under static graph mode

* [Phi]Fix expand_sig infershape BUG under static graph mode

* [Phi]Fix unittest

* [Phi]Fix unittest

* [Eager]Fix NeedTransformPlace behavior if set skip_transform in yaml

* add unittest for full_like

* fix unittest

* [Eager] Fix numpy interface for constructing empty tensor

* Fix CI, construct empty tensor

* Modify empty tensor's shape from [] to [0]

* Add more test for constructing empty tensor

* create tensor by empty in custom op

* fix some bug

* add eids result for graph_sample_neighbors

* fix bug

* move fisher_yates sample to warp

* add cpu eid output

* delete comment

* delete comment

* change nullptr placeholder

* optimize sample kernel

* fix mutable_data

* split phi and fluid infermeta context

* resolve conflict

* fix type error

* optimize scheduling perf

* spec small vector size

* replace all grad var name

* fix test failed

* move init defalut signature

* polish details

* polish details

* fix no init bug

* init sig for tests

* add init sig for infer

* fix infrt error

* fix infrt failed

* fix kunlun error

* fix infrt failed

* fix place type related compat error

* fix test failed

* remove dll decl

* revert place type change

* add dll decl

* add adamw yaml

* fix test case error

* make the name of weight and bias in linear1 and linear2 to be constant

* split reduce_kernel

* rm reduce_kernel in cmake

* split reduce_grad kernels

* fix cmake build error

* format code

* fix standalone_executor_test error

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode

* Enabled more test cases

* [DoubleGrad] Enabled test_imperative_star_gan_with_gradient_penalty.py under eager mode

* Adjusted test_imperative_star_gan_with_gradient_penalty.py

* Add core.eager.StringTensor __init__ which pyarray args can be passed

* Add the numpy method of core.eager.StringTensor

* revert tensor.to_string modification

* Add ToPyObject for core.eager.StringTensor

* Add debug string for core.eager.StringTensor

* Remove place args of core.eager.StringTensor temporarily

* Fix check string_tensor error

* remove dtype of core.eager.StringTensor

* add core.eager.StringTensor unittest

* remove pstring from VarDesc

* Add InitStringTensorWithStringTensor

* Remove to_string modification

* Remove zero_copy arg from StringTensor creator

* change cudnn helper for auto-tune

* Add FLAGS_use_autotune to set the global status of autotune and change the order of choosing algorithm.

* Fix the bug in calculating and printing current step cache hit rate.

* Improve the autotune cache and fix unittest.

* Change the key from AlgorithmType to int64_t.

* Fix unittest for cpu-only env.

* change ChooseAlgoByWorkspace for heuristic mode
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* try to fix batch norm memory issue

* fix batch norm memroy alloc bug

* polish some code

* regist elementwise_xxx

* support construct scalar using non-cpu tensor

* fix bugs when run unittest

* fix compile bugs

* fix bugs when run ci

* fix compile bugs

* fix bugs when move copy

* perfect unit test

* perfect unittest

* update according to comment

* add target dependency

* deal with conflict

* fix bugs when run unit test

* fix unit test bugs

* Add UT

- Added missed data_layout

- Added missing conversions

- NDHWC added

- NDHWC support in data_transform

- another fix

- condddate change

- fix

u- fix

- fix

- fix

- fix

- fix

- fix to hack

- compilation fix

- fix to automatic merge

* - reduced UT

* - fix

* - lint

* - fix to lint

* support some c++ api in paddle namespace

* change c++ api namespace in custom op

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode

* Enabled more test cases

* Fixed performance issues

* Fixed minor issue