update for torch 0.3

Author: MorvanZhou

tutorial-contents/302_classification.py

@@ -59,7 +59,7 @@ def forward(self, x):
     if t % 2 == 0:
         # plot and show learning process
         plt.cla()
-        prediction = torch.max(F.softmax(out), 1)[1]
+        prediction = torch.max(out, 1)[1]
         pred_y = prediction.data.numpy().squeeze()
         target_y = y.data.numpy()
         plt.scatter(x.data.numpy()[:, 0], x.data.numpy()[:, 1], c=pred_y, s=100, lw=0, cmap='RdYlGn')