* 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

* 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

* transfer as_real to phi

* fix erros

* blocking: True -> False

* remove auto to_pascal_case for args in op generator

* fix yaml config

* adapt mkldnn kernel in PHI

* fix ci compile bugs

* fix compile bugs

* fix compile bugs

* fix compile bugs

* fix compile bugs

* delete comment

* fix compile bugs in windows-inference

* delete code for converage

* modify code by review

* modify code by review

* add todo

* fix compile bugs

* fix compile bugs

* fix compile bugs

* fix unittest bugsx

* Move eigvals OP to PHI

* Fix CI errors

* Fix CI errors

* add sparse api coalesce

* mv to phi

* refine infermeta code position

* refine grad code

* add api yaml and add final_state_api

* refine code

* fix deriv with inplace

* fix double grad bugs

* remove additional file

* fix compat dygraph mode

* fix yaml remove additional yaml

* fix slice double grad error and auto code gen logic error for higher order differentiate

* fix fix_higher_order_deriv

* remove additional include

* fix fix_higher_order_deriv

* [Sparse] add SparseCsrTensor fused_attention kernel and API

* fix comment

* move yaml to phi

* fix undef var error

* support complexd selected_rows kernel in yaml

* support configuring optimizer api in yaml

* fix data transform bug

* change to condition to find python interpreter to avoid skipping the find process.
PYTHONINTERP_FOUND is the best signal that python interpreter is found.

use jinja 2.11.3 in python lower than 3.6.2