Use int64_t instead of long (#301)

Author: skywolf829

nerfacc/cuda/csrc/scan_cub.cu

@@ -87,13 +87,13 @@ torch::Tensor inclusive_sum_cub(
 #if CUB_SUPPORTS_SCAN_BY_KEY()
     if (backward) {
         inclusive_sum_by_key(
-            thrust::make_reverse_iterator(indices.data_ptr<long>() + n_edges),
+            thrust::make_reverse_iterator(indices.data_ptr<int64_t>() + n_edges),
             thrust::make_reverse_iterator(inputs.data_ptr<float>() + n_edges),
             thrust::make_reverse_iterator(outputs.data_ptr<float>() + n_edges),
             n_edges);
     } else {
         inclusive_sum_by_key(
-            indices.data_ptr<long>(),
+            indices.data_ptr<int64_t>(),
             inputs.data_ptr<float>(),
             outputs.data_ptr<float>(),
             n_edges);
@@ -129,13 +129,13 @@ torch::Tensor exclusive_sum_cub(
 #if CUB_SUPPORTS_SCAN_BY_KEY()
     if (backward) {
         exclusive_sum_by_key(
-            thrust::make_reverse_iterator(indices.data_ptr<long>() + n_edges),
+            thrust::make_reverse_iterator(indices.data_ptr<int64_t>() + n_edges),
             thrust::make_reverse_iterator(inputs.data_ptr<float>() + n_edges),
             thrust::make_reverse_iterator(outputs.data_ptr<float>() + n_edges),
             n_edges);
     } else {
         exclusive_sum_by_key(
-            indices.data_ptr<long>(),
+            indices.data_ptr<int64_t>(),
             inputs.data_ptr<float>(),
             outputs.data_ptr<float>(),
             n_edges);
@@ -169,7 +169,7 @@ torch::Tensor inclusive_prod_cub_forward(
 
 #if CUB_SUPPORTS_SCAN_BY_KEY()
     inclusive_prod_by_key(
-        indices.data_ptr<long>(),
+        indices.data_ptr<int64_t>(),
         inputs.data_ptr<float>(),
         outputs.data_ptr<float>(),
         n_edges);
@@ -203,7 +203,7 @@ torch::Tensor inclusive_prod_cub_backward(
     }
 #if CUB_SUPPORTS_SCAN_BY_KEY()
     inclusive_sum_by_key(
-        thrust::make_reverse_iterator(indices.data_ptr<long>() + n_edges),
+        thrust::make_reverse_iterator(indices.data_ptr<int64_t>() + n_edges),
         thrust::make_reverse_iterator((grad_outputs * outputs).data_ptr<float>() + n_edges),
         thrust::make_reverse_iterator(grad_inputs.data_ptr<float>() + n_edges),
         n_edges);
@@ -237,7 +237,7 @@ torch::Tensor exclusive_prod_cub_forward(
     }
 #if CUB_SUPPORTS_SCAN_BY_KEY()
     exclusive_prod_by_key(
-        indices.data_ptr<long>(),
+        indices.data_ptr<int64_t>(),
         inputs.data_ptr<float>(),
         outputs.data_ptr<float>(),
         n_edges);
@@ -272,7 +272,7 @@ torch::Tensor exclusive_prod_cub_backward(
 
 #if CUB_SUPPORTS_SCAN_BY_KEY()
     exclusive_sum_by_key(
-        thrust::make_reverse_iterator(indices.data_ptr<long>() + n_edges),
+        thrust::make_reverse_iterator(indices.data_ptr<int64_t>() + n_edges),
         thrust::make_reverse_iterator((grad_outputs * outputs).data_ptr<float>() + n_edges),
         thrust::make_reverse_iterator(grad_inputs.data_ptr<float>() + n_edges),
         n_edges);