* Fix jit.save error when save params combined

* Change dict_value to list

* move inverse from fluid to phi with unitest bug

* fix bug, add eager op yaml

*test=kunlun

* [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

* fix the outputs of net is x,x

* add unittest for duplicate output

* fix

* fix _infer_program use the original program not the amp program.

* get _***program_id back and avoid duplicate cache
ing

* fix

* add property.proto, can compiled

* property get and deserilize

* support get float

* format code

* format code

* add unittest

* add more set method

* fix grammar error

* Update paddle/fluid/jit/property.h
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update paddle/fluid/jit/property.cc
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update paddle/fluid/jit/property.cc
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update paddle/fluid/jit/property.cc
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* fix comment

* fix error throw

* fix property save unit test

* fix error info

* fix copyright and header import

* reorder jit property tensor datatype
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* fix_fill_constant

* fix_fill_constant

* fix_ernie

* bilinear_tensor_product yaml

* Replace with dygraph op calling method.

* [Dy2Sta]Fix Segment Fault while training multi-card if params have no grad

* fix unittest

* 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

* fix bugs of random

* fix unittest error

* fix unittest bugs

* add temporal_shift yaml and unittest

* fix unittest

* fix log_dir

* _enable_legacy_dygraph

* move diag_embed to phi.

* [Phi] migrate exponential kernel to phi

* fix comment

* fix CI

* add adam/sharedadam optimzier for gpups;edit optimizer struct;test=develop

* device_guard support xpu. test=kunlun

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

* fix FleetWrapper initialize

* migrate as_complex kernel to phi

* support as_complex and as_real in phi

* rm GetExpectedKernelType for AsRealOp

* Add dependency for read op in standalone executor

* Fix CI errors

* Add UT

* add_dependency -> dependency_utils

* Fix CI errors

* 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>

* add generate_proposals into paddle.vision

* remove class api

* im_info -> img_size

* change fluid impl to current version

* add labels for infer ut

* add RUN_TYPE=INFER for cpp ut

* fix formaterror

* update

* migrate solve kernel to phi

* re useless header file, fix a bug in grad_kernel_impl

* add header file in need

* add yaml for solve op

* fix solve_sig.cc ArgumentMapping and update tests case

* disable legacy dygraph check in op_test

* rm solve_op.cc / solve_sig.cc and migrate yaml config

* Update op_test.py

disable legacy dygraph check when check_eager is True

* shape sum

* add shape, sum trt layer

* add distribute_fpn_proposals

* change to new dygraph

* fix doc and example code

* change fluid impl to current version