@@ -16,7 +16,7 @@ PyMODINIT_FUNC PyInit__metis_cpu(void) { return NULL; }
1616#endif
1717
1818SPARSE_API torch::Tensor partition (torch::Tensor rowptr, torch::Tensor col,
19- torch ::optional<torch::Tensor> optional_value,
19+ std ::optional<torch::Tensor> optional_value,
2020 int64_t num_parts, bool recursive) {
2121 if (rowptr.device ().is_cuda ()) {
2222#ifdef WITH_CUDA
@@ -25,14 +25,14 @@ SPARSE_API torch::Tensor partition(torch::Tensor rowptr, torch::Tensor col,
2525 AT_ERROR (" Not compiled with CUDA support" );
2626#endif
2727 } else {
28- return partition_cpu (rowptr, col, optional_value, torch ::nullopt , num_parts,
28+ return partition_cpu (rowptr, col, optional_value, std ::nullopt , num_parts,
2929 recursive);
3030 }
3131}
3232
3333SPARSE_API torch::Tensor partition2 (torch::Tensor rowptr, torch::Tensor col,
34- torch ::optional<torch::Tensor> optional_value,
35- torch ::optional<torch::Tensor> optional_node_weight,
34+ std ::optional<torch::Tensor> optional_value,
35+ std ::optional<torch::Tensor> optional_node_weight,
3636 int64_t num_parts, bool recursive) {
3737 if (rowptr.device ().is_cuda ()) {
3838#ifdef WITH_CUDA
@@ -47,8 +47,8 @@ SPARSE_API torch::Tensor partition2(torch::Tensor rowptr, torch::Tensor col,
4747}
4848
4949SPARSE_API torch::Tensor mt_partition (torch::Tensor rowptr, torch::Tensor col,
50- torch ::optional<torch::Tensor> optional_value,
51- torch ::optional<torch::Tensor> optional_node_weight,
50+ std ::optional<torch::Tensor> optional_value,
51+ std ::optional<torch::Tensor> optional_node_weight,
5252 int64_t num_parts, bool recursive,
5353 int64_t num_workers) {
5454 if (rowptr.device ().is_cuda ()) {
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