#include #include "compat.h" #define CHECK_CPU(x) AT_ASSERTM(!x.type().is_cuda(), #x " must be CPU tensor") at::Tensor ind2ptr(at::Tensor ind, int64_t M) { CHECK_CPU(ind); auto out = at::empty(M + 1, ind.options()); auto ind_data = ind.DATA_PTR(); auto out_data = out.DATA_PTR(); int64_t numel = ind.numel(), idx = ind_data[0], next_idx; for (int64_t i = 0; i <= idx; i++) out_data[i] = 0; for (int64_t i = 0; i < numel - 1; i++) { next_idx = ind_data[i + 1]; for (int64_t j = idx; j < next_idx; j++) out_data[j + 1] = i + 1; idx = next_idx; } for (int64_t i = idx + 1; i < M + 1; i++) out_data[i] = numel; return out; } at::Tensor ptr2ind(at::Tensor ptr, int64_t E) { CHECK_CPU(ptr); auto out = at::empty(E, ptr.options()); auto ptr_data = ptr.DATA_PTR(); auto out_data = out.DATA_PTR(); int64_t idx = ptr_data[0], next_idx; for (int64_t i = 0; i < ptr.numel() - 1; i++) { next_idx = ptr_data[i + 1]; for (int64_t e = idx; e < next_idx; e++) out_data[e] = i; idx = next_idx; } return out; } PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { m.def("ind2ptr", &ind2ptr, "Ind2Ptr (CPU)"); m.def("ptr2ind", &ptr2ind, "Ptr2Ind (CPU)"); }