This reverts commit 15c87528.

* Add XPU plugin to support the customized ops or improve the performance of the fusion ops based on hand-written xpu micro kernels.

* refine README.md

* [XPU] fix compile issue for XPTI

* bugfix

* bugfix

* [kunlun] avoid compile issue in non-xpu env

also rename macro WITH_XPU_XPTI to WITH_XPTI

* move get_xpti_dependency.sh to tools/xpu

* move get_xpti_dependency.sh to tools/xpu

* call get_xpti_dependency.sh only in need

* [kunlun] support xpu runtime profiler

* fix cmake error

* add libxpti.so to paddle package

* fix for style check

* sync change in setup.py and python/setup.py.in

* remove libxpti.so from paddle output dir in this PR

* bind xpu op: 3D grid sample

* fix edge cases in xpu op: reshape & slice

* [XPU] update dependency for xccl.

* remove unnecessary codes.

* [kunlun] support min/max in dygraph mode

* update xccl to 1.0.13

* fix ninja error

* fix_ninja_error

* fix ninja error

* fix r-200 ci ninja error

* [XPU] add increment op.

* fix ci

* [kunlun] support reduce_scatter

* uncomment unittest

* update xccl to 1.0.10

* [XPU] update xccl to 1.0.8

* update xdnn. add uint8 for concat and split.

* update xdnn to 20230215.

* [KUNLUN] rename test_pool_max_op.py

* update xpu toolchain

* update xccl lib & use native Reduce in dygraph

* minor

* add reduce_sum_int64 and reduce_sum_int8 xpu kernels

* [PHI] add clip grad kernel with support type float32 and int32

* [PHI unittest] add clip_grad unit test

* adapt code to clang-format

* update xpu api output with clip_grad api

* remove int8 support of reduce_sum xpu kernel since it can not pass unit tests

* adapt license date, add code for XPUDataType convertion

* add int8 support of reduce_sum

* add reduce_sum unit tests for dtype int64, int8, and add more test cases

* update license date

* remove buggy bitwise and, or and xor xpu kernels, refine bitwise not xpu kernel

* change license date

1 update xccl lib
2 when using comm_ctx, the allocator should be set manually.

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add xpu rmsprop centered, test=kunlun