* [OpAttr]Refine Teller logic if encounter OpDesc with Variable type Attribute

* fix iterator

* fix typo

* fix lambda expr

* fix ptr

* stop pass filter int32/int16/int64/bool inputs in cond_op

* fix bugs: except block 0, the backward vars and forward vars exist in different blocks.

* fix code by review

* fix infermeta bug for vector input and output

* add unittest

* first commit

* conver done

* correct format

* layernorm_shift_partition

* correct convert

* redefine plugin

* runable

* bug fix

* modify ShiftPartitionPattern

* correct

* add UT

* modify ut

* compile

* modify enforce

* modify UT

* support iterable dataset for auto parallel

* add split_data proto

* fix unittest bug

* fix recompute bug

* update cmake

* add tensor array

* fix ci bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* update by comment

* update code

* using mkldnn

* using with mkldnn macro

* fix use mkldnn

* Enable startup program for standalone executor

* Disable test_py_reader_using_executor

* Fix test_parallel_executor_mnist

* Fix CI errors

* Fix CI errors

[Paddle Inference] fix bugs in quant_conv2d_dequant_fuse_pass when weight is shared  between ops (#45719)

* fix_old_format

* fix bug in quant_conv2d_dequant

* fix bug in quant_conv2d_dequant

* set use_cudnn=true for conv2d

* clear opmaker of matmul_v2

* fix bug of set_attr

* add extra attr checker in infer_shape

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* Move classes from mkldnn_reuse.h to onednn_reuse.h

* Move more functions from mkldnn_helper.h to onednn_helpper.h

* Change MKLDNN to OneDNN in VLOG message
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* support onnx format quantized model

* update code

* add test

* add test

* fix

* fix test

* fix cmake

* update code

* change scale file path to calibration file path

* update code

* update code

* fix build bug

* fix build bugs

* fix

* fix

* remove extra attr of opmaker

* remove extra attr of gru

* revert scale

* fix bug of create_op

* add extra attr checker in infer_shape

* fix gelu

* fix: vit attention pass

* reflash CI

* add serialization funcs in phi

* migrate serialization utils

* remove extra attr of abs in opmaker

* remove extra attrs of some op in opmaker

* remove is_test of conv

* fix attr getting of interpretercore

* fix inplace_abn

* fix bug

* fix bug of create_op

* refine code format

* clean includes of convert_util, test=kunlun

* add deps on mkldnn, test=kunlun

* copy kernel file to phi

* delete some code

* migrate uniform_random, test=kunlun

* fix input error, test=kunlun

* fix gpu register error, test=kunlun

* add include file, test=kunlun

* try fix error from CI, test=kunlun

* polish other PR

* fix CI-coverage error, test=kunlun

* config

* fix unittest

* zero init & cache & patch config

* add barrier to save and load

* add unittest

* refine cmake of framework

* add deps for dense tensor

* fix deps

* remove alloc(ctx)

* add depends on mkldnn

* add del dropout op pass to jit pe enigne

* add delete dropout test

* add runtime config in phi

* add runtime attr for op desc and op

* fix no proto error

* adjust opdesc set_attr impl

* try to remove conv_op extra attrs

* add init runtime attr map

* change extra header path

* fix runtime_attr

* fix trace_op

* fix bug of pass

* fix merge conflict

* fix dygraph attrs

* fix bug of pass

* fix dygraph bug

* fix unittest module

* delete extra attr default

* fix dropout kernel

* polish code

* fix extra output of instance_norm

* fix merge confilct

* fix op_desc bug

* add extra attr in yaml for conv3d_transpose

* don't remove extra input and output

* fix save_inference_model

* fix bug of batch_norm

* revert some change

* polish log

* polish code

* add code comment
Co-authored-by: NChen Weihang <chenweihang@baidu.com>

add constant folding pass， for some model，it will get less latency；

* add interpretercore

* refine backward program id

* add code

* refine program

* refine code

* create forward/backward_program by prog2graph2prog method

* test, do not care

* refine code

* refine code

* refine code

* test, do not care

* add interpretorcore

* add scope

* refine scope create method

* add jit for new_exe

* solve conflict

* delete unused code

* polish code

* polish code

* refine scope in inplace

* refine for datatransfer

* refine _rebuild_from_desc

* refine control eager deletion attr

* refine used_for_jit

* refine jit for infer

* op size0 use ori program

* polish code

* refine jit

* refine run_program_op ut

* refine inplace

* refine control

* refine graph helper

* refine control

* refine inplace

* refine buffer_share_inplace_pass

* polish code

* polish code

* refine usage for compilerProgram

* refine control

* test

* test core cache

* refine code

* refine io.py

* increase test_seq2seq timeout

* refine convert program

* refine interpretercore_cache release

* delete buildinplace

* refine partial_program && io

* refine code for io

* test

* test

* test

* [OpAttr]num_rows/num_colums of eye support Tensor type

* fix attr cast with long type

* remove fluid kernel and activate phi kernel

* fix parameter error

* transfer mkldnn part

* modify header file path

* fix compile error

* transfer special case

* fix lod setting and special case for layout setting

* add testcase and refine code

* update brpc version;test=develop

* [NPU] add run_program_op_npu

* add run_program_op_npu ut