* Modified RandomKernel with Kernel Primitive API

* update pten.h to phi.h

* update

* update fullKernel

* Add Sort API for Kernel Primitive API

* update & -> ptr

* unify register macro

* rename declare macro

* fix infrt error

* [PluggableDevice]custom kernel to pten core structs

* mod extension.h for custom op

* compatible python for CI

* support custom context

* refactor to pten

* fix windows and ut

* Move Abs InferShaper to phi

* Fix CI error

* migrate huber_loss into phi

* migrate infershape

* modify pten into phi

* Add loss conversion from uint16 to float in progressbar class

* Fix test coverage

* Actually fix coverage

* Fix format error

* fix cond grad error when handle tensor array

* add UT

* gpu ps graph engine

* remove logs

* rm reduce_sum raw kernel

* remove reduce_mean kernel

* remove reduce_mean kernel

* reduce support int and int64_t

* mean support int and int64_t type

* disable some distribute test case when in CPU test env, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* fix fill_constant bug, *test=kunlun

* fix fill_constant bug,*test=kunlun

* add elementwise_max & unittest

* refine cuda register and unittest

* refine unittest

* refine uinttest for bf16

* refine optest

* refine code

* refine unittest

* refine unittest

* fix RecordEvent interface

* modify default level to 4

* update interface use

* add const default trace level

* update record event interface using

* update record event interface using

* update operator.cc

* update part2

* update part1

* fix include profiler.h header in ps server

* fix include profiler.h header in ps server

* fix profiler.h header

* update unittests for activation ops on xpu. test=kunlun

* update input data range. test=kunlun

* update input data range. test=kunlun

* remove infershape and Xshape

* add xshape

* fix bugs when run ci

* fix bugs when run ci

* fix bugs when run infrt test

* pass converage

* update unittest for reduce_prod op on xpu. test=kunlun

* update unittest for reduce_prod op on xpu. test=kunlun

* bugfix: use dtype instead of float32. test=kunlun

* fix. test=develop

* fix. test=develop

* fix code style. test=develop

* fix. test=develop

* fix. test=develop

* add copy_to wrapped infermeta

* test=allcases

* test=allcases

* test=allcases

* 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

add index initialization in the block loop for index_sample kernel when dealing with a input tensor whose shape is larger than block_dim * grid_dim (#39736)

* add block and grid loop for index_sample kernel to deal with a large-shape tensor

* fix code format

* limit grid dim

* fix the omissive initialization of index_i in the second cycle for index_sample kernel

* fix conflicts

* add more op int16 support

* fix xpu ci

* Unify paddle/pten::framework::ddim into pten::ddim

* fix paddle namespace

* compile sucessfully

* fix npu src file

* fix conflict

* fix conflict

* fix tensorrt compiler error

* fix conflict

* fix conflict

* fix tesst file conflict

* fix conflict

* fix mlu file conflict

* fix mlu file conflict

* fix cinn header file conflict

* fix conflict

* fix conflict

* fix conflict

* fix conflict

* Add selected_rows kernel for full

* remove fill_constant register in fluid

* fix bug without GPU

* add jit_kernel_helper dependency for fc

* do some refactor

* add unittest for ops signatures

* add coverage unittest

* fix merge conflict

* fix full selectew_rows bug

* fix RecordEvent interface

* modify default level to 4

* update interface use

* add const default trace level

* update record event interface using

* update operator.cc

* update part1

* fix include profiler.h header in ps server

* fix include profiler.h header in ps server

* Enabled test_matmul_v2_op for final state Eager Dygraph

* Fixed minor issue

* Fixed format issue

* support parse cc in gpu

* change file name

* fix RecordEvent interface

* modify default level to 4

* update interface use

* add const default trace level

* update operator.cc

* remove manual_api

* change sig map of full and empty

* fix fill_any_like_xpu_op

* fix fill_any_like_xpu_op

* fix problem of fill_any_like_xpu_op

* fix conflict

* polish code

* [Eager] Support GradientHook before running seperate GradNode

* Fix CI issue

* Support eager ReduceHook in accumulation_node

* Fix CI  issue

* Add some tests to fix coverage CI issue