* Optimize the performanece of sum api (#42231)

* optimize the performanece of sum api

* optimize IsDenseTensorInput

* remove debug log

* Add move construct for KernelSignature (#42253)

* add move construct for KernelSignature

* add noexcept

* fix cherry-pick problem

* Add paddle::variant and replace paddle::any (#42139)

* add variant and replace any

* split attribute

* Optimize dygraph GetExpectedKernelType perf (#42154)

* opt dygraph scheduling

* revert part impl

* fix variant compile error (#42203)

* replace any by variant in infermeta (#42181)

[Cherry-Pick][Performance]Remove CudaStreamSychornize in ClipGradByGlobalNorm and fix shape op (#42170)

* [Performance]Set ShapeKernel with ALL_BACKEND and ALL_LAYOUT (#42138)

* [Performance]Set ShapeKernel with ALL_BACKEND and ALL_LAYOUT

* [Performance]Set ShapeKernel with ALL_BACKEND and ALL_LAYOUT

* [Performance]Remove CudaStreamSychornize in ClipGradByGlobalNorm (#42132)

* [Phi] Support setting size of vector<Tensor> for out in yaml (#41576)

* support setting vector out size in yaml

* support setting size of vector<tensor> for out in yaml

* resolve conflict
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>

* cherry-pick python/paddle/utils/code_gen/backward.yaml

* remove unsupported yaml
Co-authored-by: NZhanlue Yang <jim19930609@gmail.com>

* add rsqrt yaml and unittest (#41443)

* Add expand equal all yaml (#41540)

* add expand, poisson

* add poison grad

* add expand equal_all poisson triangular solve yaml
Co-authored-by: Nhong <43953930+phlrain@users.noreply.github.com>

Cherry-pick #40338 #41741 #41313

cherry-pick the PR#41586 to realese/2.3

* 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 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 (#41451) (#41893)

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

* Fixed elementwise issue

* Addressed CI failures

Add paddle.sparse and three Sparse API (#41276)
Add Sparse API to_dense, to_sparse_coo and values (#41394)

* add multi_dot,maxout,multiplex yaml

* add code converage

* [Yaml]add exp yaml (#41217)

* add exp yaml

* add exp api in test case

* add determinant yaml

* fix exp op unittest

* change test class name

* modify api name

* compacted with raw api

* fix det api

* add python_api

* add test eager for determinant op

* [Yaml] Add assign yaml (#41428)

* add assign yaml

* add assign api

* add assign backward api

* add assign

* add assign yaml

* add assign

* assign yaml

* add assign raw kernel and use assign_raw in yaml

* merge develop branch

* add missing python_api

* exchange assign and assign_raw kernel name (#41625)

* exchange assign and assign_raw kernel name

* fix register error

* [Yaml]add gaussian_random yaml and test case (#41312)

* add guassian random yaml

* add gaussian_random yaml and test case

* fix error modify of full yaml

* import in_dygraph_mode

* import _in_legacy_dygraph

* add place arg in api

* import __current_expected_place

* fix test_egr_python_api failed case

* add test case

* add cast for NormalInitializer

* fix test error

* fix test error

* rm unsed check code

* fix test error in test_initializer_nn

* modify by review

* [Phi]fix split error when sections has 0 size and add test case (#41708)

* fix split error when sections has 0 size and add test case

* fix test case

* [Eager] Remove elementwise add in conv (#41515)

* remove elementwise add in conv

* use reshape

* fix warpctc grad kernel dep eror (#41598)

add a inner loop for index_select_grad_init() in index_select op when dealing with large-shape data (PaddlePaddle#41563) (#41669)

* Revert "[Phi] Migrate Adam and AdamW into Phi (#40351)"

This reverts commit 56cd3407.

* add infermeta

* fix search sort bug (#41664)

* fix depthwise dnn bug (#41666)

[Cherry-Pick]Add hard_swish/kron/linspace/logit/graph_send_recv/multi_dot/maxout/multiplex op yaml file  (#41566)

* [Phi]Add graph_send_recv yaml file (#41206)

* add graph_send_recv yaml

* deal with confict

* fix compile bugs

* cherry-pick pr 41298

* cherry-pick pr41550

* fix compile bugs

[Cherry-pick] Add truncated_normal/unique/swish/unbind yaml and polish Getting tensor place impl (#41539)

* [Phi] Polish truncated normal kernel and add yaml (#41280)

* polish truncated normal kernel

* add yaml

* add truncated normal kernel and add yaml

* polish unittests and yaml

* import dygraph mehtod

* add unique yaml and final state api (#41460)

* fix get tensor backend set bug (#41478)

* [Phi] Add unbind yaml and final state api (#41277)

* add unbind yaml

* fix unittest

* [Phi] Add swish yaml and final state api (#41479)

* add swish yaml and final state api

* skip mkldnn test

* fix grad mkldnn test

* add cherry-pick lost code

* add one_hot gpu hint

* move allow_out_of_range judgement

* delete useless unittest

【chery-pick #41430】fix bug of random compile failure, due to incorrect compile order of dependencies

cherry-pick

fix compile bug of windows cuda11.5 #41433

* update

* add conv yaml

* add backward

* remove useless code

* fix bug

* fix bug

* revert fluid dygraph conv2d

* remove useless infermeta function

* fix meta fn deluplicat error

* conv using custom impl

* remove amp include

* fix bug

* use cudnn = true

* fix test mkldnn caching bug

* fix less than

* fix some tests

* fix additional 3 unittest case

* fix bug of data transform in inference executor

* fix bug

* [Refactor] refactored eager_gen.py PR #2

* [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes

* Fixed minor issue

* Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition

* Fixed issues

* Supported higher-order grad node generation

* [DoubleGrad PR #4] Supported higher-order GradNode generation

* [DoubleGrad #4] Bug Fixes to Double Grad Node Generation

* Fixed yaml typo

* Fixed yaml typo

* fixed minor issues

* [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()

* Fixed minor issue

* Fixed CI-Inference issue

* Fixed CI-inference issues

* [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run

* Fixed minor issues

* Fixed issue with backward graph construction logic

* Fixed implementation issues with backward graph reconstruction

* Fixed unittest issue

* Fixed issues

* [DoubleGrad PR #8] Enabled triple grads for sigmoid and matmul

* Fixed issues with phi kernel

* Added triple grad test case

* Fixed minor issue

* switch autotune

* implement AutoTuneCache

* implement AutoTuneCache class

* add pybind api

* add dygraph test

* support static mode and eager mode and improve unittests

* rename the SwitchAutoTune Class and improve tests

* improve AutoTuneStatus and reduce the cost of tests

* update

* fix bug

* Add yaml for flatten_contiguous_range OP

* update

* Fix typos
Co-authored-by: NShixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* add concat_grad kernel

* fix error

* remove comment code

* fix outs nullptr error

* change to phi header

* add concat_grad declare for standalone_executor_test

* limit grid dim for index select

* mv LimitGridDim into gpu_launch_config.h

* fix conflicts

* fix conflicts

* fix code style

* set block to 256

* fix grid setting

* set dtype of block_dim to unsigned int