* optimiaze performance of PreparePhiData (#42093)

* Dygraph performance optimization (v2) (#42103)

* optimiaze performance of PreparePhiData

* dygraph performance optimization

* optimize performance of dygraph (#42137)

* [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>

fix bug when TruncatedNormal cannot fall back in cpu

* [KP] fix bug in phi static graph mode

* modify the useless code

* add cross_entropy_with_softmax phi kernel

* remove softmax_with_cross_entropy kernel

* add softmax_with_cross_entropy grad kernel

* remove original op kernel

* refine cross entropy impl

* fix pointer error

* revert kernel cu change

* fix xpu failed

* fix cinn failed

* fix npu failed

* add forward sig

* add check_nan_inf for pt kernel

* remove repeat cmake item

* fix unittest error

* fix bug in activation xpu kp kernel

* delete useless comment

* rename scalar_array to int_array

* update cmake

* fix conflict

* remove useless log

* [KP] fix bug in phi kp

* delete useless comment

* update

* update

* choose the xpu kp kernel in phi

* [kp]fix bug that cannot fallback to CPU normally in XPU KP

* fix bug in static graph

* rename pten_utils to phi_utils

* rename pten_utils target

* rename Pten to Phi

* replace pten with phi

* resolve conflict

* [Phi] Fix XPU OP segmentation Fault problem

* fix cast_op_xpu in kunlun1

* fix cast_op_xpu in kunlun1

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* fix RecordEvent interface

* modify default level to 4

* update interface use

* add const default trace level

* update operator.cc

* merge legacy to fluid

* Remove legacy code

* Remove legacy code

* Remove DataType test

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer

* refine code

* Rename all EagerTensor to Tensor

* Rename some EagerTensor to Tensor

* rename EagerTensor to EagerVariable

* add more test

* merge develop and refine code

* [CustomRuntime] Add DeviceManager

* [CustomRuntime] Add DeviceInterface

* [CustomRuntime] Add Stream, Event, DeviceGuard, CallbackManager

* [CustomRuntime] Add plug-in device

* [CustomRuntime] Memory module support PluggableDevice

* [CustomRuntime] Add WITH_PLUGGABLE_DEVICE cmake option

* update

* [API] update API doc based on comments, test=develop
Co-authored-by: Nqili93 <qili93@qq.com>

* Add XPU compiler for paddle, test=develop

* clean code

* clean useless code

* clean useless code

* clean useless code

* test

* add include path

* use clang compiler

* xpu2.cmake

* XPU2 compiler passed

* update

* update after pten

* combination the WITH_XPU and WITH_XPU2

* update the fuse operation in WITH_XPU and WITH_XPU2

* update

* update

* update

* fix the merge error

* update

* update the code

* update the code

* add run_kp_kernel flag

* update

* update

* fix prepared type_ bug

* clean and update the code

* reset the kernel_primitives

* update

* clean the code

* delete useless comment

* fix the bug in WITH_XPU

* update

* update

* modify the abi

* delete some useless code

* Parameter automation in xpu compilation

* Parameter automation in xpu compilation

* delete kps in cmake

* delete useless comment

* clean the code

* clean the code

* update cmake file to remove fluid kernel

* add pten declaration.h to where pybind.h used

* fix sync_bn and tensorrt_engine

* refine detection_library

* fix interpreter_core

* support eager legacy

* fit eager legacy for pten

* fall back to cpu if not found kernel

* fix compile problem

* fix compile problem

* refine fallback logic

* fit operator.run()

* fix xpu compile

* fit for new_exec

* add REGISTER_OP_WITHOUT_GRADIENT

* un-cache pt_kernel_context

* fix compile

* fix cudnn

* fix compiling with on_infer

* fix mkldnn

* fix isfinite_v2

* fix xpu problem

* fix op_device

* refine fallback for xpu

* fix xpu compile

* merge develop

* refine code format

* fix compile

* fix compile

* add data_transfer

* fix PreparePtenData

* fix cpu context

* merge develop

* fix compile

* fix error device context

* fix xpu

* fix dev_ctx

* add profile record for dygraph

* add op type in record

* fix little bug

* solve conflict

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

[Pten]Refactor elementwise_add grad / double grad / triple grad Kernel and move them to pten (#39048)

* refactor elementwise add grad

* fix compile bugs

* fix unit test bugs

* fix file conflicts

* fix bugs when buildPtenContext

* add cpu_context.

* update

* update

* update

* update

* update

* fix ci problem

* fix npu ci problem

* update

* fix ci compile

* remove MakePtenTensor in BuildKernelContext

* fix a bug caused by storage

* remove WriteBackOutput in dynamic and static mode

* fix complie error of std::max

* fix complie error of std::max

* fix date_type bug

* fix memory alloc bug

* add some debug info

* fix compile problem

* fix problem of data_type check

* comment out some unreached code

* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* using platform::Place=pten::Place

* remove BOOST_GET_CONST for CPUPlace and GPUPlace

* compile pass 25%.

* compile pass 45%

* compile pass 60%

* remove boost_get for xpu npu mlu and ipu

* compile pass on cpu and gpu.

* fix compile problem

* fix compile error.

* update

* fix ci problem

* update

* ci approve

* fix ci problem

* fix ci eager test problem

* remove BOOST_GET_CONST

* fix npu compile

* remove cached kernel context

* revert dataloader format change

* fix mkldnn invalid infershape

* add unittest for mkldnn in new executor

* add import os

* refactor matmul directory in pten

* fix merge conflict

* add dot_grad kernel

* add dot_grad kernel in pten

* add matmul_grad kernel

* update the code

* delete useless code in fluid

* fix some bug of running matmul grad kernel

* fix merge conflict

* refactor some code

* refactor code

* unify infer_shape func calling

* support set grad infer shape fn for custom op

* unify infershape in new executor and eager

* remove todo comment

* revert infershape in operator

* [MLU]support calling mlu op from python interface

* [MLU]fix

* fix

* [mlu]fix mlu_places

* [mlu]fix required mlu

* fix

* [MLU]fix tensor copy

* [mlu] fix MLUPlace call path

This PR adds runtime flags run_kp_kernel, which choose which op to run for xpu2. There are two: dynamic linked and built from kp.

* Reduce reshape kernel functions in pten

* delete notes

* fix bugs when compile

* refine structure for cuda and rocm

* update

* update

* update

* update

* add inplace op adaptation

* optimize inplace logic and fix bugs when run kernel that has args of vector<DenseTensor>

* refactor logic that transform variable to densetensor

* update func name