use jinja 2.11.3 in python lower than 3.6.2

* move trace into api.yaml

* add trace unittest

* fix trace test

* fix generate op

* add codegen for get_expected_kernel, add argument mapping for selected_rows kernels, fix other bugs in codegen for operators.
* move bernoulli, erf, mv, poisson, trunc, erf to api.yaml and corresponding backward api to backward.yaml
* generate EmptyGradOpMaker for ops without grad op
* add code to generate all possible kernel signatures for infrt

* add new API/OP(csr->csr) of SparseTensor softmax

* fix comment

* rename yaml file

* fix merge conflict

* fix infrt

* add some kernel(csr*dense->csr, dense*dense->csr) of SparseTensor matmul

* fix CI

* fix CI

* fix comment

* fix comment

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* memory optimizer for einsum

* update code

* fix depthwise conv yaml error

* fix depthwise conv double grad error

* move_group_norm

* move group norm backward

* fix code format

* modify code according comment

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* add yaml

* fix infrt compile bugs

* 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 double_grad and triple_grad inplace info in backward.yaml

* only generate inplace api in forward

* add embedding yaml

* fix infermeta bug

* fix bug of selected_rows infer_meta

* fix selected_rows

* add 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

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* Compatible with v2.3 EinsumOp

* remove dispensable

* add pad3d_double_grad yaml and test case

* add squeeze and unsqueeze double grad

* add double grad config

* add pad_grad and pad_double_grad yaml

* add pad_double_grad in config

* add assign_out_ yaml

* fix final_state_assign

* fix inplace bug

* add inplace_check_blacklist for assign

* fix merge conflict

* add double grad yaml

* fix bugs when compile infrt

* support inplace in backward

* fix final_state_linear

* fix format of backward_inplace_map

* little change

* add subtract in yaml

* fix hook mem leak

* fix hook use_count

* little format change

* fix
Co-authored-by: NJiabinYang <360788950@qq.com>

* remove storage

* add glog include

* add glog include

* add glog include

* add tril_indices cpu kernal

* modify tril_indice cpu op

* modify bug

* modify bug

* add tril_indices python api

* add tril_indices python api

* resolve conflict

* add tril_indices test

* modify details

* add tril_indices.cu

* pythonapi pass

* save tril_indices

* CPU tril_indices pass

* delete vlog

* modify test_tril_indices_op.py

* delete tril_indices_kernel.cc.swp

* delete tril_indice.cu

* modify code style

* add newline in creation.py

* modify creation.py linux newline

* delete annotation

* check code style

* check .py style add final_state??

* modify code style

* add gpu_tril_indices

* modify gpu_compiled_juage

* modify gpu judge

* code style

* add test example

* modify english document

modify english document

modify english document

modify document

modify document

* modify pram name

* modify pram name

* modify pram

* reduce test ex

* 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

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

* [Eager] Polish eager code generation

* Remove useless code in codegen

* add intermediate for some api

* fix bug

* fix fluid.layer

* update code

* change the return type for inplace dygraph api

* change the tuple construct

* add tile double_grad yaml and test case

* add expand double yaml and test case

* add clip dobule grad yaml and test case

* add concat dobule grad yaml and test case

* 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

* add conv2d_transpose_double_grad yaml

* add test_conv_transpose double_grad test case

* add abs double grad yaml and test case

* add pool2d double grad yaml

* add pool2d dygraph double grad test case

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review