update to torch 0.4

tutorial-contents/301_regression.py

@@ -37,12 +37,12 @@ class Net(torch.nn.Module):
 net = Net(n_feature=1, n_hidden=10, n_output=1)     # define the network
 print(net)  # net architecture
 
-optimizer = torch.optim.SGD(net.parameters(), lr=0.5)
+optimizer = torch.optim.SGD(net.parameters(), lr=0.2)
 loss_func = torch.nn.MSELoss()  # this is for regression mean squared loss
 
 plt.ion()   # something about plotting
 
-for t in range(100):
+for t in range(200):
     prediction = net(x)     # input x and predict based on x
 
     loss = loss_func(prediction, y)     # must be (1. nn output, 2. target)