* [XPU] add reduce_min_grad XPU kernel

* add unittest for reduce_min xpu op

* [xpu-ernie3] support fp16 for full_like/stack/where xpu kernels

* [xpu-ernie3] support fp16 for full_like/stack/where xpu kernels

* add support of int64 add for xpu

* add transpose support for int64

* add randperm kernel

* fix randperm

* add distribute_fpn_proposal kernel

* fix comment

* add reduce_sum_int32

* [XPU] add fp16 support for shape op.

* [XPU] add fp16 support for lookup_table_v2 op.

* update approval list: add qingshu's id.

* [XPU] bind op scatter_nd_add

* [XPU] add more data type for op: clip, transpose2 & assign_value

* [XPU] add expand_grad, isnan, meshgrid kernels

* update

* kunlun support c_softmax_with_cross_entropy

* fix grad calc error

* replace mutable_data() and ShareDataWith()

* update xdnn

* update xpu toolchain to 20230215

* remove fluid from test file

* [XPU] add fp16 support for cumsum and log.

* [XPU] add fp16 support for cumsum and log.

[XPU] add multi_encoder_xpu_slice_fuse_pass, generate_sequence_xpu_fuse_pass, generate_sequence_xpu kernel (#50570)

* support xpu multi-card infer

* add ut

* clean code

* clean code

* fix

* fix

* fix

* fix

* [XPU] add group_norm kernel

* update

* add xpu sin, cos, randint, linspace kernels

* update

* update

* add xpu adagrad and where_grad kernels, test=kunlun

* add xpu pool3d kernels, test=kunlun

d_bias are nullptr. Modify the code style of full_kernel.cc. Add new data
type for concat, elementwise_add, gather, scale, scatter ops. test=kunlun

* [KUNLUN] add op: maxpool_with_index

* use DeviceContext::Alloc() instead of DenseTensor::mutable_data()

* fix file format

* solve clip unittest failure

* minor fix

* Revert "solve clip unittest failure" since the issue is fixed
in #49535

This reverts commit 1127adc66e79afe35ac3c00bb34e6aaa7cd7d78b.

* align with xdnn on the definition of mask in max_pool_with_index

* 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

* kunlun add support for c_concat and c_split

* replace mutable_data() and ShareDataWith()