bugfixes

aten/cuda/cluster.py

+import torch
+import cluster_cuda
+
+dtype = torch.float
+device = torch.device('cuda')
+
+
+def grid_cluster(pos, size, start=None, end=None):
+    start = pos.t().min(dim=1)[0] if start is None else start
+    end = pos.t().max(dim=1)[0] if end is None else end
+    return cluster_cuda.grid(pos, size, start, end)
+
+
+pos = torch.tensor(
+    [[1, 1], [3, 3], [5, 5], [7, 7]], dtype=dtype, device=device)
+size = torch.tensor([2, 2, 1, 1, 4, 2, 1], dtype=dtype, device=device)
+# print('pos', pos.tolist())
+# print('size', size.tolist())
+cluster = grid_cluster(pos, size)
+print('result', cluster.tolist(), cluster.type())

aten/cuda/cluster_kernel.cu

@@ -33,7 +33,7 @@ at::Tensor grid_cuda(at::Tensor pos, at::Tensor size, at::Tensor start,
         cluster.data<int64_t>(),
         at::cuda::detail::getTensorInfo<scalar_t, int>(pos),
         size.toType(pos.type()).data<scalar_t>(),
-        start..toType(pos.type()).data<scalar_t>(),
+        start.toType(pos.type()).data<scalar_t>(),
         end.toType(pos.type()).data<scalar_t>(), num_nodes);
   });