att, cherry-pick#48254, and resolve conflict

Unified api args name

* support generating code of opmaker for backward op invoke forward op (#46912)

* [code-gen] Support code-gen for opmaker of sparse op (#46993)

* support generating code of opmaker for backward op invoke forward op

* gsupport code-gen of opmaker for sparse op

* refind logic of choose phi kernrel

* fix complie budg

* fix code_gen bug

* fix bug

* fix kernel signature code-gen

* fix complie bug of VarType

* fix complie bug of VarType

* fix test_sparse_conv_op

* fix test_sparse_norm_op

* [Phi] Refactor logic of judging whether having a phi kernrel (#46920)

* refind logic of choose phi kernrel

* fix complie budg

* update cmake

add sync_batch_norm_bn and deliver indices_dict 

* cherry-pick #46359 and resolve conflict

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 : #46016, #46021, #45974

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

* [Sparse]Remove unused code (#46021)

* [Sparse] Add infer meta (#46016)

* 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>

* support refuse forward dygraph

* modify backward api exponential__grad yaml

* remove print code

* 当反向复用前向时进行需不需要更高阶的反向判断，如果不需要调用c++ api，需要的话则调用前向动态图生成反向节点

* fix some backward bugs

* modify the generated dygraph function name

* [Sparse] add SparseCsrTensor fused_attention kernel and API

* fix comment

* move yaml to phi

* fix undef var error

* [Sparse]add SparseTensor mv kernel(csr*dense_vec->dence_vec, coo*dense_vec->dense_vec)

* fix CI

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

* fix comment

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

* fix CI

* fix CI

* fix comment

* fix comment

* add nll_loss yaml

* fix nll loss

* fix nll loss bug

* fix bug

* fix bug

* fix infrt problem
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

submanifold convolution