* fix inference perfermence problem caused by selecting cudnn kernel for softmax

* recover use_cudnn in opmaker of softmax

新增sparse.is_same_shape、sparse.reshape、sparse.transpose 三个API

cherry-pick : #46322, #46245
Sparse API 支持静态图

Cherry-pick 46541
保证Reset50 TSM deeplabv3模型零修改下实现Layout自动调优

* set flag of clip_extra in save_inference_model to true (#46151)

* open the clip_extra flag in paddle.static.save_inference_model, test=allcase (#46456)

* Open the clip_extra flag in TracedLayer.save_inference_model (#46473)

* open the clip_extra flag in paddle.static.save_inference_model, test=allcase

* set the defalut value of clip_extra in TracedLayer from False to True, test=allcase

* update english doc of paddle.static.save_inference_model, test=document_fix (#46484)

* Fix clip_extra logic in remove_training_info (#46534)

* fix clip_extra code in remove_training_info

* revert rnn opmaker clear

[cherry-pick] Clear extra attrs of some ops in OpMaker (#46150, #46321, #46418, #46451, #46457) (#46553)

* Clear extra attributes of some Op in OpMaker (Part4) (#46060)

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* clear extra attrs of condition op in opmaker (#46150)

* Clear extra attrs of lookup_table_v2 in OpMaker (#46321)

* clear extra attrs of look_up_table_v2 in opmaker

* fix bug

* clear extra attrs of quantize op in opmaker (#46418)

* delete repeated item

* clear extra attrs of distribute op in opmaker (#46451)

* clear extra atts of sequence_softmax in opmaker (#46457)

* Clear extra attrs of elementwise op in OpMaker (#45845)

* clear extra attrs of elementwise op in opmaker

* fix op_debug_string_test

* fix bug of grad_add

* fix sort of runtime attrs

* Clear extra attrs of scale in OpMaker (#45984)

* clear extra attr of scale in opmaker

* fix sum bug

* fix merge conflict

* fix minus

* Clear extra attributes of some Op in OpMaker (Part4) (#46060)

* clear extra attr of some ops in opmaker

* revert clear use_cudnn for pool

* fix test_operator_desc

* fix Attr interface of OperatorBase

* fix code stype

* polish code comments

* polish data_device_transform.cc

* Fix TransDataBackend Error when call unsqueeze using MKL Tensor

* Add UT

* Refine UT

cherry-pick : #46016, #46021, #45974

* [Sparse]Sparse add support gpu (#45974)

* [Sparse]Remove unused code (#46021)

* [Sparse] Add infer meta (#46016)

* fix linspace error in amp

* fix log

* fix amp error

* support cast op backward refuse forward and fix some bugs (#46173)

* support cast op backward refuse forward

* Fix the bug of high order unit test framework

* support sign op backward refuse forward (#46002)

cherry-pick from #45826
LayoutAutotune 支持 inplace 类型的OP
 根据 Add eager layout autotune #45409 修改意见调整UseAutotune
将LayoutAutotune判断放到controller中，与AMP 判断保持一致

* add unit test for sum higher level op (#45961)

* support slice op backward refuse forward and add high level unit test (#45960)

* support tile op backward refuse forward (#45942)

* support expand_v2 op backward refuse forward (#45941)

* support concat backward refuse forward (#45940)

* 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>

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

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* Move classes from mkldnn_reuse.h to onednn_reuse.h

* Move more functions from mkldnn_helper.h to onednn_helpper.h

* Change MKLDNN to OneDNN in VLOG message
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* 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

* [Eager] fix spectral_norm interface under eager mode

* fix spectral_norm yaml config

* [OpAttr]output_size of unpool support Tensor type

* fix coverage

* fix contain_var

* fix coverage

* fix split bug

* solve function redefine

* fix fluid.layers.split and add unit test

* delete splitInferMeta register in unary.cc

* modify test_split_op GPU unit test

* modify test_split_op GPU unit test place param

* refactor split op and fix infershape bugs

* add () in && and ||

* fix split C++ unit test

* fix split infershape

* support selected_rows kernel for multiply in dygraph

* refine SetKernelOutput

* add coalesce_tensor kernel

* polist coalesce_tensor kernel

* add sig and InferMeta

* add testcase

* add legacy_api.yaml

* fix infermeta

* fix yaml

* fix kernel implementation

* add compile dependency of phi/kernels

* fix MetaConfig

* add python api

* add and fix testcase

* rnn.py add import

* change _C_ops.coalesce_tensor

* remove useless comments

* add SetBackend

* restore XPU kernel temporarily

* fix code according to PR comments