[Misc] Change node features type of ogbn-products to float32 (#6518)

examples/multigpu/graphbolt/node_classification.py

@@ -164,7 +164,7 @@ def evaluate(rank, args, model, graph, features, itemset, num_classes, device):
         tqdm.tqdm(enumerate(dataloader)) if rank == 0 else enumerate(dataloader)
     ):
         blocks = data.blocks
-        x = data.node_features["feat"].float()
+        x = data.node_features["feat"]
         y.append(data.labels)
         y_hats.append(model.module(blocks, x))
 
@@ -228,7 +228,7 @@ def train(
             ):
                 # The input features are from the source nodes in the first
                 # layer's computation graph.
-                x = data.node_features["feat"].float()
+                x = data.node_features["feat"]
 
                 # The ground truth labels are from the destination nodes
                 # in the last layer's computation graph.

python/dgl/graphbolt/impl/ondisk_dataset.py

@@ -529,6 +529,7 @@ class BuiltinDataset(OnDiskDataset):
 
         .. note::
             Reverse edges are added to the original graph.
+            Node features are stored as float32.
 
     **ogb-lsc-mag240m**
         The ogb-lsc-mag240m dataset is a heterogeneous academic graph extracted