#include "csrc/OpApiCommon.h"
#include "csrc/functions.h"
at::Tensor select_idx_with_mask(const at::Tensor& poly_line, const at::Tensor& min_idx, const at::Tensor& pt, const at::Tensor& back_idx)
{
TORCH_CHECK_NPU(poly_line);
TORCH_CHECK_NPU(min_idx);
TORCH_CHECK_NPU(pt);
TORCH_CHECK_NPU(back_idx);
TORCH_CHECK(poly_line.dim() == 3, "poly_line must be a 3D Tensor, but got: ", poly_line.dim());
TORCH_CHECK(min_idx.dim() == 2, "min_idx must be a 2D Tensor, but got: ", min_idx.dim());
TORCH_CHECK(pt.dim() == 3, "pt must be a 3D Tensor, but got: ", pt.dim());
TORCH_CHECK(back_idx.dim() == 2, "back_idx must be a 2D Tensor, but got: ", back_idx.dim());
TORCH_CHECK(poly_line.size(2) == 2, "The third dimension of poly_line must be 2, but got: ", poly_line.size(2));
TORCH_CHECK(pt.size(1) == min_idx.size(1), "The second dimension of pt must match the second dimension of min_idx, but got: ", pt.size(1));
TORCH_CHECK(back_idx.size(1) == min_idx.size(1), "The second dimension of back_idx must match the second dimension of min_idx, but got: ", back_idx.size(1));
uint32_t batch_size = static_cast<uint32_t>(min_idx.size(0));
uint32_t point_num = static_cast<uint32_t>(min_idx.size(1));
at::Tensor out_min_idx = at::empty({min_idx.size(0), min_idx.size(1)}, min_idx.options());
EXEC_NPU_CMD(aclnnSelectIdxWithMask, poly_line, min_idx, pt, back_idx, out_min_idx);
return out_min_idx;
}