diff --git a/graphbolt/src/fused_csc_sampling_graph.cc b/graphbolt/src/fused_csc_sampling_graph.cc
index 12b1cba9125a..34e6a63233dd 100644
--- a/graphbolt/src/fused_csc_sampling_graph.cc
+++ b/graphbolt/src/fused_csc_sampling_graph.cc
@@ -274,9 +274,8 @@ FusedCSCSamplingGraph::GetState() const {
 
 c10::intrusive_ptr<FusedSampledSubgraph> FusedCSCSamplingGraph::InSubgraph(
     const torch::Tensor& nodes) const {
-  if (utils::is_accessible_from_gpu(indptr_) &&
+  if (utils::is_on_gpu(nodes) && utils::is_accessible_from_gpu(indptr_) &&
       utils::is_accessible_from_gpu(indices_) &&
-      utils::is_accessible_from_gpu(nodes) &&
       (!type_per_edge_.has_value() ||
        utils::is_accessible_from_gpu(type_per_edge_.value()))) {
     GRAPHBOLT_DISPATCH_CUDA_ONLY_DEVICE(c10::DeviceType::CUDA, "InSubgraph", {
@@ -614,9 +613,9 @@ c10::intrusive_ptr<FusedSampledSubgraph> FusedCSCSamplingGraph::SampleNeighbors(
     probs_or_mask = this->EdgeAttribute(probs_name);
   }
 
-  if (!replace && utils::is_accessible_from_gpu(indptr_) &&
+  if (!replace && utils::is_on_gpu(nodes) &&
+      utils::is_accessible_from_gpu(indptr_) &&
       utils::is_accessible_from_gpu(indices_) &&
-      utils::is_accessible_from_gpu(nodes) &&
       (!probs_or_mask.has_value() ||
        utils::is_accessible_from_gpu(probs_or_mask.value()))) {
     GRAPHBOLT_DISPATCH_CUDA_ONLY_DEVICE(
diff --git a/graphbolt/src/index_select.cc b/graphbolt/src/index_select.cc
index 34191a8f8257..00257061c675 100644
--- a/graphbolt/src/index_select.cc
+++ b/graphbolt/src/index_select.cc
@@ -13,8 +13,7 @@ namespace graphbolt {
 namespace ops {
 
 torch::Tensor IndexSelect(torch::Tensor input, torch::Tensor index) {
-  if (input.is_pinned() &&
-      (index.is_pinned() || index.device().type() == c10::DeviceType::CUDA)) {
+  if (utils::is_on_gpu(index) && input.is_pinned()) {
     GRAPHBOLT_DISPATCH_CUDA_ONLY_DEVICE(
         c10::DeviceType::CUDA, "UVAIndexSelect",
         { return UVAIndexSelectImpl(input, index); });
@@ -26,9 +25,8 @@ std::tuple<torch::Tensor, torch::Tensor> IndexSelectCSC(
     torch::Tensor indptr, torch::Tensor indices, torch::Tensor nodes) {
   TORCH_CHECK(
       indices.sizes().size() == 1, "IndexSelectCSC only supports 1d tensors");
-  if (utils::is_accessible_from_gpu(indptr) &&
-      utils::is_accessible_from_gpu(indices) &&
-      utils::is_accessible_from_gpu(nodes)) {
+  if (utils::is_on_gpu(nodes) && utils::is_accessible_from_gpu(indptr) &&
+      utils::is_accessible_from_gpu(indices)) {
     GRAPHBOLT_DISPATCH_CUDA_ONLY_DEVICE(
         c10::DeviceType::CUDA, "IndexSelectCSCImpl",
         { return IndexSelectCSCImpl(indptr, indices, nodes); });
diff --git a/graphbolt/src/isin.cc b/graphbolt/src/isin.cc
index ff9a976b03b9..c41b839b1651 100644
--- a/graphbolt/src/isin.cc
+++ b/graphbolt/src/isin.cc
@@ -48,8 +48,7 @@ torch::Tensor IsInCPU(
 
 torch::Tensor IsIn(
     const torch::Tensor& elements, const torch::Tensor& test_elements) {
-  if (utils::is_accessible_from_gpu(elements) &&
-      utils::is_accessible_from_gpu(test_elements)) {
+  if (utils::is_on_gpu(elements) && utils::is_on_gpu(test_elements)) {
     GRAPHBOLT_DISPATCH_CUDA_ONLY_DEVICE(
         c10::DeviceType::CUDA, "IsInOperation",
         { return ops::IsIn(elements, test_elements); });
diff --git a/graphbolt/src/unique_and_compact.cc b/graphbolt/src/unique_and_compact.cc
index fd0d23e84e63..3a7e4963bbdd 100644
--- a/graphbolt/src/unique_and_compact.cc
+++ b/graphbolt/src/unique_and_compact.cc
@@ -19,9 +19,8 @@ namespace sampling {
 std::tuple<torch::Tensor, torch::Tensor, torch::Tensor> UniqueAndCompact(
     const torch::Tensor& src_ids, const torch::Tensor& dst_ids,
     const torch::Tensor unique_dst_ids) {
-  if (utils::is_accessible_from_gpu(src_ids) &&
-      utils::is_accessible_from_gpu(dst_ids) &&
-      utils::is_accessible_from_gpu(unique_dst_ids)) {
+  if (utils::is_on_gpu(src_ids) && utils::is_on_gpu(dst_ids) &&
+      utils::is_on_gpu(unique_dst_ids)) {
     GRAPHBOLT_DISPATCH_CUDA_ONLY_DEVICE(
         c10::DeviceType::CUDA, "unique_and_compact",
         { return ops::UniqueAndCompact(src_ids, dst_ids, unique_dst_ids); });
diff --git a/graphbolt/src/utils.h b/graphbolt/src/utils.h
index 093e920af017..fcd66ef93d3b 100644
--- a/graphbolt/src/utils.h
+++ b/graphbolt/src/utils.h
@@ -12,11 +12,18 @@
 namespace graphbolt {
 namespace utils {
 
+/**
+ * @brief Checks whether the tensor is stored on the GPU.
+ */
+inline bool is_on_gpu(torch::Tensor tensor) {
+  return tensor.device().is_cuda();
+}
+
 /**
  * @brief Checks whether the tensor is stored on the GPU or the pinned memory.
  */
 inline bool is_accessible_from_gpu(torch::Tensor tensor) {
-  return tensor.is_pinned() || tensor.device().type() == c10::DeviceType::CUDA;
+  return is_on_gpu(tensor) || tensor.is_pinned();
 }
 
 /**
diff --git a/tests/python/pytorch/graphbolt/test_dataloader.py b/tests/python/pytorch/graphbolt/test_dataloader.py
index 04cef3958356..b59260cf654e 100644
--- a/tests/python/pytorch/graphbolt/test_dataloader.py
+++ b/tests/python/pytorch/graphbolt/test_dataloader.py
@@ -9,9 +9,6 @@
 
 
 def test_DataLoader():
-    # https://pytorch.org/docs/master/notes/multiprocessing.html#cuda-in-multiprocessing
-    mp.set_start_method("spawn", force=True)
-
     N = 40
     B = 4
     itemset = dgl.graphbolt.ItemSet(torch.arange(N), names="seed_nodes")