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fix for working with PyTorch v1.0.1 #16

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fix for working with PyTorch v1.0.1 #16

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6 changes: 3 additions & 3 deletions pytorch_nn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@ def forward(self, x):
if batch_idx % log_interval == 0:
print('Train Epoch: {} [{}/{} ({:.0f}%)]\tLoss: {:.6f}'.format(
epoch, batch_idx * len(data), len(train_loader.dataset),
100. * batch_idx / len(train_loader), loss.data[0]))
100. * batch_idx / len(train_loader), loss.data))

# run a test loop
test_loss = 0
Expand All @@ -77,7 +77,7 @@ def forward(self, x):
data = data.view(-1, 28 * 28)
net_out = net(data)
# sum up batch loss
test_loss += criterion(net_out, target).data[0]
test_loss += criterion(net_out, target).data
pred = net_out.data.max(1)[1] # get the index of the max log-probability
correct += pred.eq(target.data).sum()

Expand All @@ -92,4 +92,4 @@ def forward(self, x):
if run_opt == 1:
simple_gradient()
elif run_opt == 2:
create_nn()
create_nn()