* add trace mode for interpretercore

* fix bug

* add a ctrl flag

* add record for memcpyd2h

* polish code

* polish code

* Remove kSyncRun in StreamAnalyzer

* Update code

* rm fluid “xpu_header.h” deps in phi

* move part of xpu_op_list.h from fluid to phi

* add fluid xpu_op_list deps

* add glog deps for xpu_op_list in phi

* fix PR-CI-Kunlun

* add fluid_op_name_map

* rename some kernel name

* add comments for op-kernel map

* refine map name of op to kernel

* add_gather_nd_

* add_gather_nd_

* add_gather_nd_

* remove fluid.reduce_sum

* remove fluid.reduce_sum

* modify axis and import paddle

* modify keepdim and out_name

* modift unittest

* modift unittest

* modify CI_static and loss.py

* modify test_mse_loss

* modify static ci

* modify static ci datatype

* add import paddle in test

* fix conflict

* fix conflict

* modify ci

* modify ci

* fix_conflict

* fix bug

* code_style

* Update communicator.cc

* Update communicator.cc

* remove LoDTensor

* remove LoDTensor and Tensor

* hot fix

* fix compile

* merge develop

* follow comments

* fix loopup_table plugin deserialize size error

* fix

* group norm fp16 support

* attr ready

* op ip ready

* start dynamic

* end2end ok

* input shape to map, stat by op

* layer wip

* first version ready

* fix proto depds

* fix profiler deps

* fix flops typo, rm tuple shape

* Move stream_anayzer to interpreter

* Refactor StreamAnalyzer

* Refactor RunNextInstructionList

* Remove no_data_transform_index

* Fix typos

* Fix data_transfer OpFuncType error

* Add event for depend_op

* Update transfer OpFuncType for heter place

* rm dependence to "convert_utils.h" in some files

* fix bugs

* replace DataType2String with DataTypeToString

* replace framework::DataTypeSize with phi::SizeOf

* mv convert_function from fluid to phi and rm old map

* recommit with pre-commit

* repalce ProtoVarType with ProtoDataType and update comment.

* fix error about include "dnnl.hpp"

* revert add dep mkldnn to convert_utils in phi

* add mkldnn deps in convert_utils.h in phi

* move deps to convert_utils.h in phi

* optimize token prune

* support default use_gpudnn=True

* fully support cudnn in phi

* add header file

* add white_list, verify accuracy

* phi support all cudnn

* opt affine_grad

* try different arches of pretrained_model

* try different arches of pretrained_model

* add debug string

* debug eager_method

* add debug string, pass all local ctest

* polish all debug code

* delete use_cudnn relevant code autogen

* fix depthwise_conv2d

* Share all other members of Tensor except use_cudnn

* polish codes according to review opinion

* polish codes according to review opinion, fix bug

* polish codes according to review opinion, opt performance

* polish codes according to review opinion, fix pooling.py

Note: this is a temporary solution, should be replaced once reduce kernel
is natively supported on KL2

* do not calc reduce_all in eager mode

* refine python c cast list

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* dense tensor in eager mode support data_ptr

* feat: static check

* decouple im2col from fluid

* move im2col to phi

* fix build error

* delete redundant comment

* add nparray case for basic operator

* fix unit test

* fix unit test

* add unit test

* fix unit test

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add masked_selected_grad kernel,test=kunlun

* make bfloat16 implicit convert to float/double

* fix bfloat16_test ut compile