* clear extra attrs of look_up_table_v2 in opmaker

* fix bug

* remove invoke yaml

* fix ci bugs

* for add_bias

* move_merge_selected_rows

* update code

* add amp yaml

* fix ci bugs

* sparse infer_meta

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* [CodeStyle] trim trailing whitespace in yaml and hook

* python incremental whitespace and yml files

* move sum

* fix ci bugs

* fix ci bugs

* fix set_lod bugs

* fix infershape bugs

* fix ci bugs

* fix ci unittest bug

* fix ci bugs

* perfect code

* update code according comment

* add unittest

* fix ci bugs

* support cast op backward refuse forward

* Fix the bug of high order unit test framework

* clear extra attr of scale in opmaker

* fix sum bug

* fix merge conflict

* fix minus

* fix linspace error in amp

* fix log

* fix amp error

* clear extra attrs of elementwise op in opmaker

* fix op_debug_string_test

* fix bug of grad_add

* fix sort of runtime attrs

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

* normalize yaml op label

* revert op_compat yaml change

* fix prelu and rnn compat problem

* replace api by op

* clear extra attr of activation op in opmaker

* fix syntax bug

* fix mkldnn kernel

* fix merge conflict

* fix bug

Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* clear extra attrs of reduce op in opmaker

* fix reduce_mean

* add tensor array

* fix ci bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* update by comment

* update code

* set use_cudnn=true for conv2d

* clear opmaker of matmul_v2

* fix bug of set_attr

* add extra attr checker in infer_shape

* remove extra attr of opmaker

* remove extra attr of gru

* revert scale

* fix bug of create_op

* add extra attr checker in infer_shape

* fix gelu

* [Eager] fix pool2d interface under eager mode

* add use_gpudnn for pool2d

* fix pool2d yaml conflicts

* fix pool2d yaml

* [Eager, Performance optimization] fix pool3d under eager mode

* polish code

* [OpAttr]ksize of pool2d support Tensor type

* fix unittest

* add unittest

* set use_cudnn=true for conv2d

* refine the config rule of api_compat

* remove extra attr of abs in opmaker

* remove extra attrs of some op in opmaker

* remove is_test of conv

* fix attr getting of interpretercore

* fix inplace_abn

* fix bug

* fix bug of create_op

* refine code format