refactor: apply linting

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>

Author: narendasan

tests/modules/hub.py

@@ -100,6 +100,7 @@ def forward(self, x):
 
 # Sample Conditional Model (for testing partitioning and fallback in conditionals)
 class FallbackIf(torch.nn.Module):
+
     def __init__(self):
         super(FallbackIf, self).__init__()
         self.relu1 = torch.nn.ReLU()
@@ -121,6 +122,7 @@ def forward(self, x):
         x = self.conv1(x)
         return x
 
+
 conditional_model = FallbackIf().eval().cuda()
 conditional_script_model = torch.jit.script(conditional_model)
 torch.jit.save(conditional_script_model, "conditional_scripted.jit.pt")