* move matmul_v2 kernel of xpu from fluid to phi, test=kunlun

* fix complie bug, test=kunlun

* fix complie bug, test=kunlun

* fix complie bug, test=kunlun

* remove fluid kernel and activate phi kernel

* fix parameter error

* transfer mkldnn part

* modify header file path

* fix compile error

* transfer special case

* fix lod setting and special case for layout setting

* add testcase and refine code

* Add omp parallel for directives

* Revert "Add omp parallel for directives"

This reverts commit f4e4f8ddb12454018d9c1e49c074af2543659de6.

* Add #pragma omp parallel for to correct file

* Add check for _OPENMP definition

* Disable omp on gpu

* Trigger CI

* Readd check for _OPENMP definition

* Change macro disabling changes on GPU

* Improve macro readability

* [OpAttr]axis of Reverse Support Tensor type

* fix coverage

* fix unittest

* [OpAttr]min/max of Uniform_rand support Tensor type

* fix typo

* transfer memcpy_d2h from fluid to phi

* refine arg check and add comment

* fix cannot fallback to phi kernel

* fix gpu_context host alloc when tensor size = 0

* add kernel for std::vector<DenseTensor> args

* fix bugs in MemcpyD2HMultiIOKernel

* remove useless header file

* polish format

* fix typo

* add testcase for cudapinned place

* refine check condition in test

* polish error message

* polish error message

* remove header in fluid  directory

* merge memcpy_h2d and memcpy_d2h into one file, change register method to simplify implementation

* fix code style check

* make full_like support double_max in dygraph

* fix bug

* sync_batch_norm_grad delete mean and variance

* optimizer conv alog speed

* code polish

* remove useless code

* fix compile error

* fix cpu compile error

* not use cudnn alog t

* add search cache max number

* polish code

* fix cache test bug

* add groups data format to conv args

* fix cache test bug

* fix cudnn_deterministic bug

* fix test switch auto tune bug

* fix test swith autotune bug;

* fix conv cache bug

* fix cache test error

* fix cache test bug

* fix windows mac compile error

* fix workspace search error

* update cudnn cache

* fix cache test bug; test=develop

* fix autotune swith test error

* polish code

* oplish code

* fix unique_kernel bugs

* fix unique kernel cu bugs

* make tensor_util contains no cuda code

* refine isfinite

* revert ut

* move isfinite function to its op

* fix test

* fix compile

* std::isnan is not defined for int type on windows

* fix windows compile

* fix fp16

* fix rocm compile

* revert gradient node

* 【Hackathon No.34】优化 poisson op

* [poisson] code style fix

* modify code style

* prevent from big number

* modify code style

* modify code style

* modify import

* modify import

* modify code style

* Adapt minlength attr for bincount

* rename the member function of SparseTensor

* use shorter function names

* erfinv

* fix some tiny issues

* move distribute_fpn_proposals

* fix some code

* fix yaml bugs

* add set dtype

* move proposal_impl to funcs

* fix compile bugs

some python c api use final state

* add group_norm dyanmic plugin

* transfer trilinear op to phi, change name from trilinear_interp_v2 to trilinear_interp

* reserve linear_interp param

* change testcase scale if-branch

* testcase test_imperative_case

* fix trilinear testcase

* import paddle in test_trilinear_interp_v2

* [OpAttr]Squeeze axes support Tensor

* add support_tensor

* fix unittest

* fix coverage

* transfer bilinear op to phi, change bname from bilinear_interp_v2 to bilinear_interp

* reserve linear_interp param

* fix cross device import

* use addKernel

* fix compile

* remove elementwiseAddto

* add return

* fix custom place

* xpu unittest grad compute supports more types, *test=kunlun

* add instance norm xpu, *test=kunlun

* transfer bicubic_interp op to phi, change name from bicubic_interp_v2 to bicubic_interp

* test final_state_bicubic_interp api

* testcase match imperative case

* fix squared_l2_norm bug

* update buffer.h

* move check finite and unscale kernel into phi

* move infershape into phi

* move update_loss_scaling kernel into phi

* remove original kernels

* move update loss scaling infershape into phi

* add header for xpu and npu

* solve coverage failed

* fix npu test failed

* remove mutable data in cu file

* fix new executor failed

* add valid check for meta tensor output