* remove using lodtensor part1

* polish history code format

* 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>

* select highest priority layout

* opt performance, save virtual table find

* add datatype check for ParseKernelKeyByInputArgs

* polish error message

* Actually, einsum has vector<Tensor> inpute with DataType::COMPLEX64, see test_einsum_v2.py

* headerfile remove enforce.h

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* change BackendSet from 64bits to 32bits

* fix _MSC_VER error, __lzcnt32->__lzcnt

* fix __GNUC__ error, __builtin_clzl->__builtin_clz

* fix clip_extra code in remove_training_info

* revert rnn opmaker clear

* enable eager mode on xpu, test=kunlun

* add numpy support to xpu

* fix tensor using error

* fix  error, test=kunlun

* fix failed tests, test=kunlun

* 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

* polish code comments

* polish data_device_transform.cc

* 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

* Fix TransDataBackend Error when call unsqueeze using MKL Tensor

* Add UT

* Refine UT

* 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