* refine conv_op mkldnn code

* fix customized_type_value

* refine sum_op mkldnn code

* refine sum_op mkldnn code

* add fp16 data type for set_value

* cancel flip modification

* add fp16 dtype support for set_value

* solve transpose2, follow #22402

* fix CI cmake

* update REGISTER_OP_KERNEL of transpose2

* Fix some bugs hidden in build_cinn_pass.

* Update codes about OpTransInfo.

* Only support for the static reshape/reshape2 op.

* Add libpaddle.so log

* Add libpaddle.so log

* Update README.md

* Update README.md

* Fix F541 by converting f-string to normal strings

* add yaml entry for rnn and rrnn_grad, move infershape function for rnn_grad to phi infer meta

* WIP: move rnn kernrl to phi

* Change the code generation to avoid converting from intializer list to tuple of heterogeneous types.
This is only triggered when an api has intermediate outputs, and the result of the outputs are of heterogeneous types.

* fix the bug that when none in a vector of tensors requires gradient, the conversion to InferShapeContext to InferMetaContext (a.k.a. BuildInferMetaContext) produces errorous results.

* fix ci bugs

* fix ci bugs

* fix ci bugs

* modify code according comment
Co-authored-by: Nchenfeiyu <chenfeiyu@baidu.com>

* reduce time cost on atomic in interpretercore

* clear code of PrepareAtomic in interpretercore

* refine threadpool cache

* fix fc pattern

remove use_bias
add residual input switch
fix references to pattern

* review fixes

* Add methods that find input or output name by var name

* kind of bugfix - initialize variables

* ci fix

* review fixed

* fix embedding fused

* preln_res_bias_layernorm bugfix unroll opt

* code style refine

* NOLINT for codestyle

make fused_multi_transformer support dynamically set the cache_kvs' shape and support input prefix_caches. (#46777)

* make fused_multi_transformer support dynamically set the cache_kvs' shape and support input prefix_caches.

* delete_quantize_headerfile

* delete_requantize_headerfile

* op migrated, Copy(OneDNNContext, ...) added

* mutable_data & op registration in fluid removed

* refactoring

* OneDNNGetDataType to uppercase

* missing cpu check added, handler moved to .h file

* name changed to transpose_grad

* Copy changed back to TensorCopy

* Resizing corrected, Copy(OneDNNContext) removed

* fix:gather op

* add ut

support fp16 for deformable conv

* it is a test

* it is a test

* it is a test,test=coverage

* optimizing the proceess of generating ut_file_map.json

* optimizing the proceess of generating ut_file_map.json

* optimizing the proceess of generating ut_file_map.json

* optimizing the proceess of generating ut_file_map.json

* fix fp16

* remove debug info

* code style refine

* enable hard_swish_grad unit test

* remove unused argument