* move cross form legacy_api.yaml to api.yaml

* move diagonal to api.yaml

* move apis from legacy_api.yaml to api.yaml

* remove comment

* revert argsort

* fix merge conflict

* 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

* rename yaml file

* fix merge conflict

* fix infrt

* 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

* 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

* 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>

* 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)

* add intermediate for some api

* fix bug

* fix fluid.layer

* 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

* add double yaml

* add inline func

* Add gpudnn yaml config for some OPs

* Add grad gpudnn config

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix conflicts

* Support double grad check of op in Eager mode

* fix bugs of backward yaml

* adjust code format

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode

* Enabled more test cases

* [DoubleGrad] Enabled test_imperative_star_gan_with_gradient_penalty.py under eager mode

* Adjusted test_imperative_star_gan_with_gradient_penalty.py

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode

* Enabled more test cases

* Fixed performance issues

* Fixed minor issue

* [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad

* Fixed elementwise issue

* Addressed CI failures

* [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode

* Fixed minor issues

* add expand, poisson

* add poison grad

* add expand equal_all poisson triangular solve yaml

* Add yaml for deformable_conv and deformable_conv_v1 OPs

* Add UT

* Add to skipped_phi_api list for infrt

* add layer norm infermeta

* add layer norm yaml

* polish layer norm infer meta

* add layer norm to black list