* fix and add more tests

* remove unwanted changes

* check only concat and elementwise

* move check to a function

* add todo comment

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

[Paddle-Inference] support preln-ernie: add preln_emb_eltwise_layernorm_op, preln_skip_layernorm_op (#39570)

* support preln_ernie: add preln_emb_eltwise_layernorm_op, preln_skip_layernorm_op

* support preln_ernie: add preln_emb_eltwise_layernorm_op, preln_skip_layernorm_op

[Paddle-Inference] support preln_ernie: add preln_embedding_eltwise_layernorm_fuse_pass, preln_skip_layernorm_fuse_pass (#39508)

* support preln_ernie

* support preln_ernie

* #1 migrate dist-related type()-> dtype()

* move datatype function from pten -> fluid/framework

* change type() in imperative into convert(dtype())

* modify xx_tensor->type into xx_tensor->dtype

* change the set_type interface and the caller

* modify xx_tensor.type into xx_tensor.dtype

* fix mutable_data(place, dtype())

* change caller of mutable_data in pten and distributed

* change the caller of mutable_data in fluid/framework

* change the caller of mutable_data in imperative directory

* mutable_data: inference

* update the call of mutable_data

* transfer MakePenScalarArray MakePtenScalar ResetHolderWithType

* pass the compile. the next step is remove VarType in Pten

* fix all and remove VarType from pten. success in linux. Next task is other platform

* fix conflict with develop

* fix compiled error

* Fix reset conversion

* fix conflict

* fix compiled problem

* fix typo

* Fix << in tensor_utils.cc

* fix type->dtype

* fix unittest

* fix tensor init constructor

* fix DataTypeSize for BFloat16

* fix code style

* fix npu compiled error

* fix npu

* compile npu sucessfully

* fix conflict

* fix conflict
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* prevent squashing pair u8 dequantize -> s8 quantize

* add relu op to check for uint8

* fix ptq fc attr name fuse_activation->activation_type

* fix

* add unit test

* remove unused variable

* test fix unsuccessful

* fix test and logic

* multiline comment

* remove cout

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* fix ptq fc attr name fuse_activation->activation_type

* mkldnn conv fix

* definetion

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* [Demo] custom kernel based on pten kernel

* merge and npu custom work well

* del comments

* delete other code

* fix CUDAContext

* fix not found small_vector.h

* support NPU

* fix NPUContext

* fix DeviceContext support

* add UT

* fix call

* add UT

* fix

* fix for comments and ut

* add MACRO control

* fix multi input output

* support env CUSTOM_DEVICE_ROOT

* deal with special cases

* fix for Windows

* try coverage with test_custom_kernel_dot.py

* fix test_custom_kernel_dot

* fix test_custom_kernel_dot

* fix merge

* fix merge

* fix CI

* update

* merge and fix

* remove WITH_CUSTOM_KERNEL

* fix merge

* merge and fix

* fix ut

* fix ut for mac

* add more UT

* add more UT

* fix

* support npu weight unified H2D copy

* remove redundant variable

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

* move dynload from fluid to pten.

* fix ci compile

* fix windows ci compile.

* update

* update

* fix compile error

* Mish

* Change exp() library

* mish fuse pass

* mish attrs

* fixes

* mishop maker

* remove attrs

* mish kernal for bf16

* fc+mish fuse

* fix code format error

* Resolve merge conflicts

* Update mish operator version

* update mish variable to new naming convention

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Patched python level LoDTensor

* Merge Tensor into DenseTensor

* Fixed namespace issues,test=allcases

* Fixed merge issues

* Fixed inference issues

* Fixed NPU test issues

* Fixed merge issues

* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* using platform::Place=pten::Place

* remove BOOST_GET_CONST for CPUPlace and GPUPlace

* compile pass 25%.

* compile pass 45%

* compile pass 60%

* remove boost_get for xpu npu mlu and ipu

* compile pass on cpu and gpu.

* fix compile problem

* fix compile error.

* update

* fix ci problem

* update

* ci approve

* fix ci problem

* fix ci eager test problem

* remove BOOST_GET_CONST

* fix npu compile

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Fixed example code failure

* Polished function names, removed duplicated forward declarations

* add trt_convert_flatten_contiguous_rang op

* trt version >7,support trt_convert_flatten_contiguous_rang

* trt version >7,support trt_convert_flatten_contiguous_rang

* trt version >7,support trt_convert_flatten_contiguous_rang

* test cast add trt version >=7 skip

* add Paddle Trt config: with_interleaved

* Added shared_ptr<Allocation> member & corresponding interfaces to Storage

* Removed original pten::Allocation from Storage and adjusted the interfaces accordingly

* Fixed issues with storage offset

* Used place to malloc allocation for TensorStorage

* [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor

* Fixed issues with place

* Added comments

* Moved mutable_data with stream argument to DenseTensor

* Added set_offset interface

* Fixed CI issues,test=allcases

* [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor

* Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor

* Modified framework::Tensor to inherit from DenseTensor

* Reverted changes too pten_layout() interface

* Removed friend classes

* Rearranged cfunction calls from tensor.data<void>() to tensor.data()

* Fixed CI issues

* Fixed lite issues

* Fixed data() interface issues,test=allcases

* Resolved IsInitialized() issues

* Fixed ResetHolder() issues

* Fixed MKLDNN & Storage issues

* Resolved ShareBufferWith() issues

* Fixed LoD issues

* Quantize nearest_interp and nearest_interp_v2

* Check if avx_core supported

* Add depthwise_conv2d to supported quantization list

* glog fix

* changed approach

* dynamic shape clone supported

* block warning when build demo_ci and infer_ut

* use build pipe line clone to test

* support external stream.

* update

* update

* update

* add matmul_scale matmul_v2_scale fuse pass

* add scaletensor judge

* modify var name

* add timeout notest;test=coverag

* fix error commit

* fix use_mkldnn attr

* fix use_mkldnn attr

* add mkldnn conv3d_bias_mkldnn_fuse_pass ut

* update conv3d_bias_mkldnn_fuse_pass ut

* disable conv3d_bias_mkldnn_fuse_pass

* add ipu_inference

* resovle commments

* resolve comments

* add EnableIpu introduction

* rm line

* restore npu update

* add ernie and resnet50 test

* fix copyright time
Co-authored-by: Nyaozhixin <522190855@qq.com>

* add conv_gelu_mkldnn_fuse_pass

* add post ops

* reshape+transpose+matmul_v2

* in_name->input_name

* fix pr-ci-static-check

* quantize slice op

* correct test

* fix code formatting

* refine structure for cuda and rocm

* update

* update

* update

* update

* add trt_mobilenet demo test

* only deliver trt_root in run.sh

* [NPU] reorganization for device API abstraction

* [NPU] delete old files

* [NPU] fix npu_collective_helper

* [NPU] fix collective_helper

* [NPU] fix ut

* [NPU] mod memory allocation and hccl_helper

* [NPU] fix place_type

* [NPU] split enfoce.h

* move acl* call into npu_info

* merge conflict

* fix merge

* merge conflict

* merge conflict