* add pad op for xpu

* add pad op for xpu

* add pad op for xpu

* add_depthwise_conv2d_transpose

* Update test_depthwise_conv2d_transpose_op_xpu.py

删除print语句

* fix as review, add fp16 conv2d_transpose

* fix unittest of bn and reduce_mean

* fix bn unittest

* fix ci

* fix ci

* bind sparse_coo_tensor, reduce_max/max_int32, range/arange_int32, equal_bool, scatter_grad_float32, nearest_interp_int64 kernels

* add more unit tests; modify compilation logic of xpu sparse kernels

* clang format

* add cumsum_grad op to xpu2_op_list

* [XPU] add numel op

* [XPU] update numel/size op registration

instance_norm_grad kernel. Fix bugs that the data type of input is different from output in reduce_sum kernel. test=kunlun

* [XPU] add fp16 support for compare ops.

* fix ci.

* Delete randperm raw op

* fix

* [XPU] add increment op.

* fix ci

* [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