added header file

csrc/sparse.h

+#pragma once
+
+#include <torch/extension.h>
+
+int64_t cuda_version();
+
+torch::Tensor ind2ptr(torch::Tensor ind, int64_t M);
+torch::Tensor ptr2ind(torch::Tensor ptr, int64_t E);
+
+torch::Tensor partition(torch::Tensor rowptr, torch::Tensor col,
+                        torch::optional<torch::Tensor> optional_value,
+                        int64_t num_parts, bool recursive);
+
+std::tuple<torch::Tensor, torch::Tensor> relabel(torch::Tensor col,
+                                                 torch::Tensor idx);
+
+torch::Tensor random_walk(torch::Tensor rowptr, torch::Tensor col,
+                          torch::Tensor start, int64_t walk_length);
+
+std::tuple<torch::Tensor, torch::Tensor, torch::Tensor>
+subgraph(torch::Tensor idx, torch::Tensor rowptr, torch::Tensor row,
+         torch::Tensor col);
+
+sample_adj(torch::Tensor rowptr, torch::Tensor col, torch::Tensor rowcount,
+           torch::Tensor idx, int64_t num_neighbors, bool replace);
+
+torch::Tensor spmm_sum(torch::optional<torch::Tensor> opt_row,
+                       torch::Tensor rowptr, torch::Tensor col,
+                       torch::optional<torch::Tensor> opt_value,
+                       torch::optional<torch::Tensor> opt_colptr,
+                       torch::optional<torch::Tensor> opt_csr2csc,
+                       torch::Tensor mat);
+
+torch::Tensor spmm_mean(torch::optional<torch::Tensor> opt_row,
+                        torch::Tensor rowptr, torch::Tensor col,
+                        torch::optional<torch::Tensor> opt_value,
+                        torch::optional<torch::Tensor> opt_rowcount,
+                        torch::optional<torch::Tensor> opt_colptr,
+                        torch::optional<torch::Tensor> opt_csr2csc,
+                        torch::Tensor mat);
+
+std::tuple<torch::Tensor, torch::Tensor>
+spmm_min(torch::Tensor rowptr, torch::Tensor col,
+         torch::optional<torch::Tensor> opt_value, torch::Tensor mat);
+
+std::tuple<torch::Tensor, torch::Tensor>
+spmm_max(torch::Tensor rowptr, torch::Tensor col,
+         torch::optional<torch::Tensor> opt_value, torch::Tensor mat);
+
+std::tuple<torch::Tensor, torch::Tensor, torch::optional<torch::Tensor>>
+spspmm_sum(torch::Tensor rowptrA, torch::Tensor colA,
+           torch::optional<torch::Tensor> optional_valueA,
+           torch::Tensor rowptrB, torch::Tensor colB,
+           torch::optional<torch::Tensor> optional_valueB, int64_t K);