* 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

* perfect copy

* deal with conflict

* deal with conflict

* fix compile bugs

* fix unittest bugs

* change code format

* deal with conflict

* modify code by review

* fix ce bugs

* fix ce bugs

* add lo

* perfect code format

* deal with conflicts

* fix incompatible error

* rmeove default constructor

* add macro

* fix cpu make error

* add DefaultGPUPlace api

* move trace into api.yaml

* add trace unittest

* fix trace test

* fix generate op

* rename yaml file

* fix merge conflict

* fix infrt

* make all phi kernels to 2(host/device) static libraries directly

* fix calling kernel_declare

* fix compile

* fix cpu compile

* fix rocm compile

* fix xpu compile

* fix xpu kp compile

* fix inference compile

* add conv3d yaml

* add conv3d_grad, conv3d_double_grad

* add final_state_conv3d test case

* add conv3d double test case

* add depthwise_conv2d grad yaml

* add depthwise_conv2d double grad test case

* modify the order of args

* add depthwise_conv2d_grad_grad config

* add embedding yaml

* fix infermeta bug

* fix bug of selected_rows infer_meta

* fix selected_rows

* add unittest

* make data transform inplace when tensor is on gpupinned in new dygraph

* fix unittest

* refactor the optional tensor

* remove optiona<MetaTensor> in InferMeta

* fix bug

* fix optional<vector<Tensor>>

* fix bug

* fix rmsprop

* fix amp of eager_gen

* polish code

* fix deleted code

* fix merge conflict

* polish code

* remove is_nullopt_

* fix merge conflict

* fix merge conflict

* remove storage

* add glog include

* add glog include

* add glog include

* change the output format of C++ backward api

* fix merge conflict

* fix sparse api code auto-gen

* fix eager_gen bug

* fix bug of output is null

* fix bug of conv2d_grad_impl

* fix optional grad

* fix bug of eager-gen double_grad

* fix bug

* fix multiply_double_grad bug

* fix bug of higher order derivative

* fix bug of FillZeroForEmptyGradInput

* remove redundant vector in grad_node

* fix bug of test_deformable_conv_v1_op

* fix bug of test_deformable_conv_v1_op

* some refacotr

* remove shared_storage

* fix bug

* fix rnn bug

Add Code Generation for operators,  op makers and argument mapping functions (#41772)

* adapt faster tokenizer op

* add eager test

* add unittest

* support construct scalar using non-cpu tensor

* fix bugs when run unittest

* fix compile bugs

* fix bugs when run ci

* fix compile bugs

* fix bugs when move copy

* perfect unit test

* perfect unittest

* update according to comment

* int_array supports constructed by gpu tensor

* add some test

* polish code

* adjust full api

* add unittest

* add unittest
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* change the output format of C++ backward api

* fix merge conflict

* fix sparse api code auto-gen

* fix eager_gen bug

* fix bug of output is null

* fix bug of conv2d_grad_impl

* fix optional grad

* fix bug of eager-gen double_grad

* fix bug

* fix multiply_double_grad bug

* remove node pruning

* the copy type of data transform for gpu_pinned to gpu change from syna to async

* refactor code

* add double yaml

* add inline func

* [Eager] Support final_state_adam when argument grad (position 1) is selected_rows

* Remove needless code

* Add adam_dense_param_sparse_grad kernel

* fix bug of std::move and others

* fix an compile error in debug mode

* fix wrong copy assignment operator
Signed-off-by: Ntiancaishaonvjituizi <452565578@qq.com>

* reformat
Signed-off-by: Ntiancaishaonvjituizi <452565578@qq.com>

* reformat
Signed-off-by: Ntiancaishaonvjituizi <452565578@qq.com>

* fix ArrayRef constructor following llvm

* fix format

* fix conflict with master

* fix memory issue for eager

* fix bug

* [Eager]Fix NeedTransformPlace behavior if set skip_transform in yaml

* add unittest for full_like

* fix unittest

* [Eager] Fix numpy interface for constructing empty tensor

* Fix CI, construct empty tensor

* Modify empty tensor's shape from [] to [0]

* Add more test for constructing empty tensor

* fix place type related compat error

* fix test failed

* remove dll decl

* revert place type change

* add dll decl

* add adamw yaml

* fix test case error

* make the name of weight and bias in linear1 and linear2 to be constant

* Add core.eager.StringTensor __init__ which pyarray args can be passed

* Add the numpy method of core.eager.StringTensor

* revert tensor.to_string modification

* Add ToPyObject for core.eager.StringTensor

* Add debug string for core.eager.StringTensor

* Remove place args of core.eager.StringTensor temporarily

* Fix check string_tensor error

* remove dtype of core.eager.StringTensor

* add core.eager.StringTensor unittest

* remove pstring from VarDesc

* Add InitStringTensorWithStringTensor

* Remove to_string modification

* Remove zero_copy arg from StringTensor creator