[Misc] Black auto fix. (#4642)

* [Misc] Black auto fix.

* sort
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

examples/pytorch/diffpool/model/dgl_layers/__init__.py

-from .gnn import GraphSage, GraphSageLayer, DiffPoolBatchedGraphLayer
\ No newline at end of file
+from .gnn import DiffPoolBatchedGraphLayer, GraphSage, GraphSageLayer

examples/pytorch/diffpool/model/dgl_layers/bundler.py

@@ -14,8 +14,9 @@ class Bundler(nn.Module):
         self.linear = nn.Linear(in_feats * 2, out_feats, bias)
         self.activation = activation
 
-        nn.init.xavier_uniform_(self.linear.weight,
-                                gain=nn.init.calculate_gain('relu'))
+        nn.init.xavier_uniform_(
+            self.linear.weight, gain=nn.init.calculate_gain("relu")
+        )
 
     def concat(self, h, aggre_result):
         bundle = torch.cat((h, aggre_result), 1)
@@ -23,8 +24,8 @@ class Bundler(nn.Module):
         return bundle
 
     def forward(self, node):
-        h = node.data['h']
-        c = node.data['c']
+        h = node.data["h"]
+        c = node.data["c"]
         bundle = self.concat(h, c)
         bundle = F.normalize(bundle, p=2, dim=1)
         if self.activation:

examples/pytorch/dimenet/modules/activations.py

 import torch
 
+
 def swish(x):
     """
     Swish activation function,