* refactor

* refine code

* fix some ops for int64 range

* update error message

* [Zero-Dim] support input 0D Tensor for unary api

* fix CI

* optimize cinn subgraph detector

* fix update subgraph

* add annotation

* add_lookup_table_v2

* add logging to fc residual fuse pass

* expand logging message to fc residual fuse pass

* Add test for fc residual not fusing with activation

* Add missing <cstddef>
  * Fix some iterator type
  * Currently use host protobuf to bypass build failure

* remove using lodtensor part1

* polish history code format

* fix slice bugs

* fix

* update code

* fix

* update code

* 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