Remove extra gradient checking

This was redundant.

Author: yngtodd

common/darts/architecture.py

@@ -56,7 +56,6 @@ def comp_unrolled_model(self, data, target, eta, optimizer):
             moment = torch.zeros_like(theta)
 
         # flatten all gradients
-        gradient= autograd.grad(loss, self.model.parameters(), allow_unused=True)
         dtheta = F.flatten(autograd.grad(loss, self.model.parameters())).data
         # indeed, here we implement a simple SGD with momentum and weight decay
         # theta = theta - eta * (moment + weight decay + dtheta)

examples/darts/advanced/default_model.txt

@@ -1,6 +1,6 @@
 [Global_Params]
 model_name = 'darts_uno'
-unrolled = False 
+unrolled = True
 data_url = 'ftp.mcs.anl.gov/pub/candle/public/benchmarks/Pilot1/uno/' 
 savepath = './results'
 log_interval = 10