* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* modify code style

* add x to X mapping

* add definition of lgamma

* delete redundant lgamma definitions

* Modify code comments

* Modify ops.py code format

* add lgamma  single test and lgamma api in fluid

* Optimized lgamma unittest

* Add kernel declarations

* Copy kernel implementation code

* Transfer implementation code

* Fix: Move out_grad to first

* Register new kernels

* Remove old kernels

* Move out_grad to last

* Fix bugs

* Transfer infermeta

* Add yaml files

* Add blank line

* Fix code style

* Optimize directory structure
Co-authored-by: NBobholamovic <linmanhui@baidu.com>

* [XPU] add top_k op. test=kunlun

* [XPU] add top_k op. test=kunlun

* use PADDLE_ENFORCE_XDNN_NOT_NULL to check pointer. test=kunlun

* move crop_tensor from fluid to phi

* delete fluid header files

* fix crop_tensor_op dygraph_mode bug

* modify header files, add out tensor check

* move average_accumulates op to phi kernel

* fix bug of elementwise_add_grad, *test=kunlun

* fix bug, *test=kunlun

* rm pooling_t, *test=kunlun

* fix bug of ew_add_grad when inplace, *test=kunlun

* 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

* move inverse from fluid to phi with unitest bug

* fix bug, add eager op yaml

*test=kunlun

* 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

* add slot attr for push sparse op

* add pybind

* remove fleet

* add unittest

* fix

* add xpu pnorm op and fix pool op, *test=kunlun

* add adaptive pool, and softmax with cross entropy supports different axis, *test=kunlun

* 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

* device_guard support xpu. test=kunlun

* sum op of xpu support LoDTensorArray. add test for while op of xpu. test=kunlun.

* migrate as_complex kernel to phi

* support as_complex and as_real in phi

* rm GetExpectedKernelType for AsRealOp

* 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

* Piotrek's changes for pad3d

* my changes

* first version of pad3d, single copy, unnecessary reads

* optimized pad3d kernel

* test upadte

* removed magic numbers

* added support for pad2d

* reverted two files

* reverted one old change

* added support for Paddings tensor

* CI fix

* CI fix

* fixed timeout of tests

* fixed typo

* changes to GetKernelTypeForVar

* Revert "changes to GetKernelTypeForVar"

This reverts commit 469106115c49682b25038a666fd71bd4a10fb66b.

* added AsExtra() to pad2d
Co-authored-by: NPiotr Paturej <piotr.paturej@intel.com>