Fix issue 193 (#203)

* Fixes for build with the new pytorch

* Fixes for build with the new pytorch

* Fixes for build with the new pytorch

csrc/cpu/neighbor_sample_cpu.cpp

@@ -153,7 +153,7 @@ hetero_sample(const vector<node_t> &node_types,
   // Add the input nodes to the output nodes:
   for (const auto &kv : input_node_dict) {
     const auto &node_type = kv.key();
-    const auto &input_node = kv.value();
+    const torch::Tensor &input_node = kv.value();
     const auto *input_node_data = input_node.data_ptr<int64_t>();
 
     auto &samples = samples_dict.at(node_type);
@@ -180,8 +180,8 @@ hetero_sample(const vector<node_t> &node_types,
       auto &src_samples = samples_dict.at(src_node_type);
       auto &to_local_src_node = to_local_node_dict.at(src_node_type);
 
-      const auto *colptr_data = colptr_dict.at(rel_type).data_ptr<int64_t>();
-      const auto *row_data = row_dict.at(rel_type).data_ptr<int64_t>();
+      const auto *colptr_data = ((torch::Tensor)colptr_dict.at(rel_type)).data_ptr<int64_t>();
+      const auto *row_data = ((torch::Tensor)row_dict.at(rel_type)).data_ptr<int64_t>();
 
       auto &rows = rows_dict.at(rel_type);
       auto &cols = cols_dict.at(rel_type);
@@ -261,8 +261,8 @@ hetero_sample(const vector<node_t> &node_types,
       const auto &dst_samples = samples_dict.at(dst_node_type);
       auto &to_local_src_node = to_local_node_dict.at(src_node_type);
 
-      const auto *colptr_data = kv.value().data_ptr<int64_t>();
-      const auto *row_data = row_dict.at(rel_type).data_ptr<int64_t>();
+      const auto *colptr_data = ((torch::Tensor)kv.value()).data_ptr<int64_t>();
+      const auto *row_data = ((torch::Tensor)row_dict.at(rel_type)).data_ptr<int64_t>();
 
       auto &rows = rows_dict.at(rel_type);
       auto &cols = cols_dict.at(rel_type);