#include #define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be CUDA tensor") #define IS_CONTIGUOUS(x) AT_ASSERTM(x.is_contiguous(), #x " is not contiguous"); at::Tensor knn_cuda(at::Tensor x, at::Tensor y, size_t k, at::Tensor batch_x, at::Tensor batch_y); at::Tensor knn(at::Tensor x, at::Tensor y, size_t k, at::Tensor batch_x, at::Tensor batch_y) { CHECK_CUDA(x); IS_CONTIGUOUS(x); CHECK_CUDA(y); IS_CONTIGUOUS(y); CHECK_CUDA(batch_x); CHECK_CUDA(batch_y); return knn_cuda(x, y, k, batch_x, batch_y); } PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { m.def("knn", &knn, "k-Nearest Neighbor (CUDA)"); }