* normalize yaml file name (#45894)

* Clear extra attributes of activation op in OpMaker (#45772)

* clear extra attr of activation op in opmaker

* fix syntax bug

* fix mkldnn kernel

* fix merge conflict

* fix bug

* [PHI] Normalize yaml op label (#45976)

* normalize yaml op label

* revert op_compat yaml change

* fix prelu and rnn compat problem

* replace api by op

* support assign op backward refuse forward (#45879)

* normize yaml backward op label (#46028)
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>
Co-authored-by: NCharles-hit <56987902+Charles-hit@users.noreply.github.com>

* initial commit

* fix op maker bug

* fix mul grad bug

* add unittest

* fix add grad bug, add cpu kernel

* add paddle.geometric.message_passing

* add paddle.geometric.send_uv api, add unittest

* add fp16 judgement

* fix file typo, move compute_type to message_op

* add impl file

* fix unittest timeout time

* add review revise

* [Eager draft] forward_only interface migrate to autograd_api

* strings api add dygraph forward function

* rm useless comments

* draft version for check CI

* fix ci

* forward-only no need compute_require_grad and pass stop_gradient, rm useless comments

* polish yaml and using CPUPlace = phi::CPUPlace

* rm useless comments

* polish yaml and update some test case

* rm useless funcs

* polish eager_gen code

* polish code

* move api(erfinv) from legacy_api.yaml to api.yaml

* change inplace_map key

* move fft kernels to phi, done with cufft, pocketfft, mkl_cdft, hipfft
* make stft_op use fft from phi/kernels/funcs, clean code

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* modify code style

* add x to X mapping

* add definition of lgamma

* delete redundant lgamma definitions

* Modify code comments

* Modify ops.py code format

* add lgamma  single test and lgamma api in fluid

* Optimized lgamma unittest

* 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

* move yaml to phi

* fix undef var error

* move standard apis to api.yaml

* revert erfinv

* delete dot_op.h

* fix dot

* rerun ci

* 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 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

* 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

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

* add intermediate for some api

* fix bug

* fix fluid.layer

* update code

* change the return type for inplace dygraph api

* change the tuple construct

* 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

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

* add unittest for full_like

* fix unittest

* add adamw yaml

* fix test case error

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

* support some c++ api in paddle namespace

* change c++ api namespace in custom op

* add sgd yaml

* change python api

* open eager mode in sgd

* fix bug

* add expand, poisson

* add poison grad

* add expand equal_all poisson triangular solve yaml