* Improve new executor static build

* Skip GC for static build

* Skip infershape for static build

* Handle read_op

* Add fused_attention to OpsWithFluidKernelNeedMoveToPhi

* Fix argsort typos

* Add sequence_pool to OpsWithFluidKernelNeedMoveToPhi

* Fix skip share lod errors

* Fix errors for adam

* Fix errors for eigvals, memcpy and fake_quantize

* Add static_build.cc

* Add black list

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix TensorArray

* Fix TensorArray

* Add update_loss_scaling to OpsNeedSetOutputDtypeWhenRegisterPhiKernel

* Fix copy

* Fix errors

* Fix momentum

* Skip mkldnn

* Fix CI errors

* Fix c_sync_calc_stream_op

* Fix CINN

* Fix while op

* All CI pass, disable FLAGS to merge code, enable it after more tests in future

* Add UTs

* Fix typos

* Fix typos

* Add mkldnn UT

* Remove mkldnn test

* Fix typos

* Fix dist test

* Fix typos

* Fix CI errors

* Fix CI errors

* Add UTs

* Fix typos

* Fix typos

* Add sparse tests

* ToComplexType -> ToComplex

* Add test_matmul_op_static_build to disable_win_inference_test

* support run haokanctr model in heterps-models

* polish setup.py

* polish JVM_LIB in evn_dict

* align infer auc with DistPsArch pre-stable

* async and multi thread data feed

* rewrite dense tensor intialization

* async infer shape and reuse memory

Add basic functionalities to support Scalar & Scalars in operator attribute.

1. extend allowed types in operator's attribute type, add `paddle::experimental::Scalar`, add corresponding protobuf Message types;
2. Scalar enhancement, add formatting, equality;
3. add code to handle Scalar & Scalars in opmaker, conversion from  paddle operator to phi kernel, opdesc construction and manipulation,  tensorrt converter, tracer, operator construction, etc;
4. bind `paddle::experimental::Scalar` to python, as `libpaddle.Scalar`;
5. add functionality to canonicalize attribute map according to OpProto(if the op the attribute map used for has an OpProto);
6. add code to manipulate Scalar proto message via protobuffer python API;

Add unittests.

1. add test cases for formatting, equality for Scalars, and WrapAsScalars;
2. add test cases for 'casting' between different morphs of attributes;
3. add test cases for extracting scalar & scalars from attribute;
4. add test cases for CanonicalizeScalarAttrs(and fix a bug in type index offset);
5. fix gmock's library filename on windows platform.
6. clean code: use canonicalize_attrs instead of inlining the function;
7. add test cases for libpaddle.Scalar in python code.
8. add test cases for `make_scalar_proto`, which manipulate proto message `Scalar` via protobuffer python API.

* move DataType from paddle::experimental to phi

* convert namespace

* convert namespace

* convert namespace

* clarify namespace

* convert more datatype

* Revert "convert more datatype"

This reverts commit 083b462959e6a22d4d8767707b628b95b396642e.

* convert more in auto_code_generator

* fix conflicts for XPU

* fix namespace conflicts

* fix errors

* Revert "fix errors"

This reverts commit f9d9958b54ee32141112274c8a5c3c381ab0f876.

* fix errors

* fix formatting

* Add function node in phi_kernel for MKLDNN

* fix the bug in 'BuildInferVarKernelContext'

* add infer_varkernel_utils.cc

* fix the bug:the first two parametes of 'BuildInferVarKernelContext' can't be template variable

* change the code according to first review

* change the code according to first review

* change the mode of paddle_build.sh

* change 'infer_var_kernel_fn_' to 'get_kerneltype_forvar_fn_'

* add the error information

* fix NotFound infomation warning

* fix NotFound infomation warning

* fix NotFound infomation warning

* register custom kernel for all type of custom device

* fix bug

* fix GetKernelInputArgDef

* fix amp bug

* fix TransToPhiPlace

* adapt interpreter_util

* Remove InterpretercoreInferShapeContext

* Fix lod errors

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* pre-commit
Signed-off-by: Yulv-git <yulvchi@qq.com>

---------
Signed-off-by: Yulv-git <yulvchi@qq.com>

* add static custom back_list

* rm comments

* fix log

* fix comment

* Optimize the ernie inference performance on xpu

* fix enable runtime cache logic

* when op's input shape has changed, should create a new runtime context

* fix

* set flag when input shape has changed

* move variable_utils from phi_api_utils to fluid

* fix coment

* update include

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* update

* update

* fix CI-Windows-OpenBLAS

* fix bugs

* fix bugs

* fix bugs

* update include

* move variable_utils to phi_utils

* fix namespace

* unify_kernel

* fix compile bugs

* modify macro name

* perfect code according comment

* fix compile bugs

* fix compile bugs

* fix ci bugs

* fix ci bug

* fix ci bugs

* fix ci bugs

* modify code according comment

* rm conv_fusion_op

* change feed_op to phi kernel

* fix ci bugs

* fix build bugs

* fix ci bugs

* fix compile bugs

* fix ci bugs

* perfect code

* perfect comment code

* fix install bugs

* modify code according comment

* remove visitor in feed_op

* modify according comment

* perfect code according comment

* add infershape

* fix py3 bugs

* fix getexpected kernel type

* fix getexpected kernel type

* fix ci bugs

* add registry for custom device

* fix py3 bugs

* fix floating point error

* fix py3 test bugs

* execute use kernel_key first

* change OpKernelType->KernelKey

* fix py3 compile error, remove redundant header files

* fix build_strategy_test

* fix DataType::RAW

* fix custom_type test: operator_test.cc

* fix transform place

* fix backends_are_same_class

* try fix place TransDataDevice

* support all KernelKey

* fix TransformData

* fix place_are_same_class

* fix merge

* fix test_params_no_grad

* fix specific place of GetExpectedKernelType

* fix specific place of GetExpectedKernelType

* fix GetKernelTypeForVar

* fix dtype error

* fix fetch_v2

* change GetKernelTypeForVar

* fix interpreter

* fix typo error

* polish codes

* polish codes

* polish codes

* fix conflict

* [OpAttr]Fix Ignore AttriteTensor in IndicateDataType bug in grad_op

* add GetExpectedKernelType

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* Fix default GetExpectedKernelType for ops supported tensor attrs

* add skip run

* alloc minimum memory

* skip check_size in Alloc

* skip check_size in Alloc

* skip check_size in Alloc

* fix cases when tensor is initialized or empty

* alloc empty output for place info

* add test

* increase timeout

* format code

* skip cpu

* add cudnn_deterministic

* fit for hostAlloc

* follow comments

* change check_size to fake_alloc

* add new tensor

* fix windows compile bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* perfect according comment

* fix ci compile bugs

* add raw tensor

* fix ci bugs

* modify code by comment

* delete String

* move share_buffer kernel to phi

* fix ut

* add source file

* fix window links

*test=kunlun

* fix typo error

* pass CI-coverage

* Fix onednn kernel bugs

* fix gpu bugs

* hot fix

* fix compile

* merge develop

* follow comments

* 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

* clip extra and intermediate output of op

* fix bug

* fix bug

* polich code

* polich log

* cleanup unused code

* unify is_int8 is_bfloat16

* Simplify matmul_v2 FWD kernel

* remove RunKernel methods

* remove import namespace

* remove headers

* clean fluid/phi cross imports

* remove fluid axpy_handler

* delete fluid methods

* activations

* OneDNNMemDesc

* MKLDNNFormatForSize

* MatchShapeToLayout

* MKLDNNMemoryFormat

* MKLDNNFormat

* ReorderMKLDNNHandler

* to_void_cast

* review suggestions

* interpolate

* remove fluid depedency

* refine shape op in new_exe

* Revert "refine shape op in new_exe"

This reverts commit 0e0336ddc5eede3da019b348a0bcc0ef0f3be64e.

* refine shape op in new_exe

* refine shape expected_kernel_type

* add SelectedRows check for shape op

* refine code

* move cudnn hardcode outside GetExpectedKernelType

* add header file

* debug

* update interpreter_util with hardcode

* update interpreter_util headerfile

* solve activation hardcode

* debug with CI

* add mkldnn_op_list header file

* temporarily uncomment mkldnn

* temporarily uncomment mkldnn

* delete sequence_softmax cudnn hardcode

* add hardcode to data_transfer.cc

* update data_transfer headerfile

* try fix segment fault

* update cudnn&miopen_helper

* reset HasAttr of DygraphExctnCtx

* debug, this commit should pass all CI

* debug should pass CI, temporarily disable activation

* debug should pass CI

* fix default_attr=nullptr bug

* clean debug code

* Call SetDnnFallback function in the base class

* activation fallback to plain kernel

* fix default GetExpectedKernelType find wrong kernel

* search cudnn kernel instead of fallback

* fix cudnn_handle bug

* remove tanh use_cudnn

* restore tanh use_cudnn

* debug tanh

* fix tanh bug

* delete activation cudnn kernel

* polish code

* opt CanMKLDNNBeUsed performance

* fix nullptr bug

* fix OpBase default_attrs=nullptr bug

* fix OpBase default_attrs=nullptr bug

* fix OpBase default_attrs=nullptr bug