* generate static graph code for some operators

* add some ops generate

* revert npu gelu

* decouple cudnn_desc.h from fluid

* move cudnn_desc.h from fluid to phi

* fix bugs

* decouple cudnn_helper.h from fluid

* fix bugs

* move cudnn_helper.h from fluid to phi

* add fluid cudnn_helper.h

* move miopen_desc.h from fluid to phi

* move miopen_helper.h from fluid to phi

* fix bugs

* move gpu_dnn.h from fluid to phi

* fix bugs

* update copyright year

* simplify gpu_dnn.h in fluid

* fix bugs

* fix xpu build bug

* fix compile bug

* fix bug

* Optimize the log of broadcast and decrease the log level.

* Remove the redundant brackets.

* Change op benchmark ci to test the tests module.

* Remove the observe of elementwise and reduce_ops sub-directory.

* Fix onednn kernel bugs

* fix gpu bugs

* [NPU] apply npu_identity to conv bn and copy2cpu, test=develop

* update npu identity to share data with x, test=develop

* address review comments, test=develop

* 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

* fix expand as op

* fix bug

* for xpu multi thread bug test

* 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

* support xpu scalar inplace

* sharding for xpu
Co-authored-by: Nheyanru <81976792+heyanru01@users.noreply.github.com>

* add bfloat16 support for more ops

* fix ci compile

* fix windows compile error

* fix windows compile error

* fix rocm compile error

* fix ROCM compile error

* add index sample fp16 support

* remove fluid APIs in distributed_strategy.py and role_maker.py

* Revert "remove fluid APIs in distributed_strategy.py and role_maker.py"

This reverts commit 223bbee990d3bf69e252fc3c0f19e3873550a264.

* remove fluid APIs in distributed_strategy.py and role_maker.py

* remove index sample op changes

* remove fluid APIs under fleet.base

* remove fluid APIs under fleet.layers.mpu

* remove fluid APIs under fleet.meta_optimizers

* fix fluid error

* fix util_factory.py

* reset fluid.io.load_inference_model API

* 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

* 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

* do not calc reduce_all in eager mode

* refine python c cast list

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* decouple im2col from fluid

* move im2col to phi

* fix build error

* delete redundant comment

* 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

* first commit

* 2nd commit

* Migrate elementwise_div

* Migrate elementwise grad kernels