* Add function description for Kernel Primitive API
1. Set cumsum and sort share memory size = 1024
2.sort and cumsum api limitation : blockDim.x must be less than 512 (blockDim.x <= 512)

* Modify the implementation of BlockYReduce to fit more scenes

* fix

* fix

* Add Sort API for Kernel Primitive API

* update & -> ptr

* 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

* Replace clip, bce_loss, full and full_like with elementwise

* move kernel_primitives

* use pten's errors

* refine structure for cuda and rocm

* update

* update

* update

* update

* Update the implement of reduceAnyKernel according to kernel primitive api
* Fix a bug in ReadData, ReadDataBc and ReadDataReduce when NX != 1

Implement FunctionTraits to support two kinds of elementwise functor and remove some old codes for broadcast. (#35688)

Revert "Implement FunctionTraits to support two kinds of elementwise functor and remove some old codes for broadcast. (#35487)" (#35686)

Implement FunctionTraits to support two kinds of elementwise functor and remove some old codes for broadcast. (#35487)

* add ElementwiseTernary, Reduce, ReadDataStride

添加Kernel primitives api： ReadData, WriteData ComputeFunctor

This PR add some primitives api related files. Those files are almost empty for the moment, but will be filled later.

* Add dlnne engine runtime

* Fix log

* Remove <const_cast> and remove unrelated modify with dlnne, +clang-format

* Fix CMakeList format error

* Add copyright message

* Fix dlnne CMakeList.txt

* Add some paddlepaddle_pass to support more networks

* Fix some format bug

test=develop

add python inference api

fix cmake again
test=develop

Add the demo of subgraph splitter

* Update tensor_util.h

* Update with moved TensorDesc

* Fix tensur_utils.cu

* Update

* Update

* Update

* Update

* Make tensor_util.cu a symbolic link