resort .cu headers, set clang-format not sort include block and consider .cu as main source file (#43633)

* add new API/OP(csr->csr) of SparseTensor softmax

* fix comment

* fix to_sparse_csr

* add some kernel(csr*dense->csr, dense*dense->csr) of SparseTensor matmul

* fix CI

* fix CI

* fix comment

* fix comment

* use GpuMemcpy and GpuMemset

* sparse convert kernel support double dispatch by indices dtype

* cudaMemcpyKind->gpuMemcpyKind

* remove storage

* add glog include

* add glog include

* add glog include

* remove shared_storage

* fix bug

* fix rnn bug

* chnage dispatch to visit

* resolve conflict

sparse maxpool; kernel_registry support sparse tensor

restructure conv

* move the common function to kernel/funcs/sparse/

* add namespace

* rm unused file

* move func

* reuse code

submanifold convolution

Sparse conv3d backward(gpu)

* [custom kernel]Upgade support for multi libs

* upgrade phi_custom_kernel deps

* remove storage deps of empty

* remove invalid empty method

* remove error empty using

* fix test_sparse_utils_dev_api

* revert some sparse change

* add memset for conv grad

* resolve conflict

* resolve conflict

* resolve conflict

* suppport sparse api in yaml

* support auto-gen code of sparse api

* do some refactor

* add unittest test_sparse_conv_api

* add unitest file
Co-authored-by: Nzkh2016 <zhangkaihuo@baidu.com>

* sparse conv3d: gpu code

Sparse Conv3d backward code

* fix incorrect dims settings

* sparse conv3d

* fix out dims

* test performance

* test large shape success

* opt scatter, double performance

* test float16

* remove profiling code

* remove pten

* opt code lines

* correct boundary judgment

* only cpu

* test ci

* test ci

* remove the including paddle/fluid header; extract the conmmon function

* opt code lines

* use DenseTensor::data() instead of mutable_data

* return rulebook for backward

* specify layout

* rename:conv -> sparse_conv3d

* change Vector to std::vector and provide MixVector class as a helper wrapper class

* solve the multi-gpu hang problem

* remove the duplicate template instantialize

* Copy vector to cpu

* add CopyToCPU

* xxx

* final version: fix the problem of all reduce

* remove mixvector dependence

* fix

* merge

* fix code

* fix by CI

* unify register macro

* rename declare macro

* fix infrt error

* 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