Add yaml and unittest for bmm op

* fix behavior of device_id=None in Tensor.cuda

* fix CI

* add reverse yaml

* add complex for einsum grad kernel

* pass the ci

* transfer the svd infer into phi infermeta

* remove the svd.h

* modify svd api

* fix svd error by insert optional

* multi stream support handle lazy init.

* support eigen lazy init

* update

* fix ci problem

* Move slogdeterminant op to phi

* Add yaml and unit test for slogdeterminant

* (modified) fc support fp16

* __CUDA_ARCH__ version

* delete half

* delete half

* add half support

* add half support

* add half support

* add_ymal_utest for phi grid_sampler op

* (modified) fc support fp16

* __CUDA_ARCH__ version

* delete half

* delete half

* move inverse from fluid to phi with unitest bug

* fix bug, add eager op yaml

* [CustomDevice] register Copy for custom device

* [CustomDevice] register Copy for custom device

* [CustomDevice] register Copy for custom device

* merge and add uts

* merge and add uts

* fix for blocking and unittests coverage

* fc support fp16

* add a ‘,’ on paddle_pass_builder.cc

* fc support fp16 on non-cuda.

* svd cpu forward

* svd gpu forward

* transfer the backward of svd

* remove cusolver in svd_grad

* svd kernel bug fix

* fix bugs

* fix bugs.

* fix bug

* bilinear_tensor_product yaml

* add temporal_shift yaml and unittest

* seperate xshape kernel from normal kernel

* fix bugs in infermeta

* fix compile bugs

* fix compile bugs

* move diag_embed to phi.

* [Phi] migrate exponential kernel to phi

* fix comment

* fix CI

* migrate as_complex kernel to phi

* support as_complex and as_real in phi

* rm GetExpectedKernelType for AsRealOp

* compile into one static library

* fix xpu compile

* fix xpu compile

* fix inference compile

* fix inference compile

* add custom test

* revert one file

* Move angle op to phi

* Replace mutable_data using Alloc

* Remove some include

* Try to fix windows ci error

* include math.h to fix windows ci error

* Fix kernel name

* Move angle_grad infershape

* move eig operator from fluid to phi

* add eig_grad unitest, upgrade IsComplexType() from fluid to phi