* fix build error

* fix build error

* fix

* [XPU] update dependency for xccl.

* remove unnecessary codes.

kernels.

* add mul doubel grad

* add sub_double_grad

* add add sub high test

* add mutiply test

* modify other unsqueeze

* delete api.yaml

* only for make ci run

* midify unsqueeze

* modify unsqueeze

* tmp

* modify operants gen

* update cmake3.16 to 3.18

* test

* Update Dockerfile.ubuntu

* fix patch error

* fix patch error

* [CppExtension Cuda] Add cuda unit test for CppExtension

* update extra_compile_args for CUDAExtension

* add debug info

* Add patch to fix CUDA12 compile error

* patch for all env

* add windows judgement

* Try to fix setup function not found error

* fix mix_relu_and_extension include file

* fix setup compile error

* remove useless debug comments

* add sleep, debug CI-build

* add space to disable cmake cache

* remove debug info

* add space to pass CI-build

* add flash randomness control

* fix VLOG undefied

* remove code with PADDLE_WITH_ASCEND

* try pass codestyle

* fix ninja error

* fix_ninja_error_qa

* mv WITH_ASCEND_CL

* mv WITH_ASCEND

* rollback

* remove WITH_ASCEND

* remove WITH_ASCEND

* fix error,test=document_fix

* test

* fix gcc12_error

* fix gcc12_error

* fix gcc12_error

* fix_gcc12_py3_error

* fix_range-loop-construct_error

* fix_gcc12_error

* Fix flashattn build error on jetson

* Fix nvcc not found on jetson

* [kunlun] support min/max in dygraph mode

* update xccl to 1.0.13

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.

* fix_gcc12_error

* patch on eigen3 for fixing gcc12 error

* Update multiary.cc

* add all_reduce, reduce kernel and api

* fix all_reduce reduce ut

fix reduce op maker conflict

fix merge conflicts

* fix conflicts, rename ReduceOp->ReduceBaseOp in reduce_ops

rename allreduce op, to remove

* fix code format

fix comments

* modify test_collective_reduce_api ut timeout

* fix PR-CI-Build

fix comments: format phi operator

* fix ninja error

* fix_lite_ninja_error

* to support cuda12, pybind need to upgrade to v2.10.0

* add DEPS of pybind in test_custom_plugin_creater.cc

* only change the tag

* please let CI pass

* try pybind v2.10/3

* modify the include header in test

* code check

* fix ninja error

* fix_ninja_error

* fix ninja error

* fix r-200 ci ninja error

[Lite] Change the source code integration of Paddle Lite to the compilation library integration (#51405)

* [XPU] add increment op.

* fix ci