Fix lint failures

torch/onnx/symbolic_opset11.py

@@ -881,12 +881,12 @@ def repeat_interleave(g, self, repeats, dim=None):
         reps = sym_help._size_helper(g, input, dim)
         reps = unsqueeze(g, reps, 0)
         repeats = g.op("Expand", repeats, reps)
-    # There are cases when the repeats are 1-d tensor with multiple repeats, but dim 
+    # There are cases when the repeats are 1-d tensor with multiple repeats, but dim
     # provided along one of the dynamic axes provided. A simple example would be
     # input.shape -> [1, 1, *] where * represents the dynamic axes, and dim = 2
     # Now, repeat interleaving can be performed in pytorch when the value of * matches
     # with the number of elements in repeat, for example if * -> 2, number of repeats
-    # should be 2 as well. 
+    # should be 2 as well.
     else:
         return torch.onnx.symbolic_opset9.repeat_interleave(g, self, repeats, final_dim)