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<Fixed a bug in accuracy calculation> #221

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2 changes: 1 addition & 1 deletion tutorials/01-basics/logistic_regression/main.py
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Expand Up @@ -70,7 +70,7 @@
total += labels.size(0)
correct += (predicted == labels).sum()

print('Accuracy of the model on the 10000 test images: {} %'.format(100 * correct / total))
print('Accuracy of the model on the 10000 test images: {} %'.format(100 * correct.item() / total))

# Save the model checkpoint
torch.save(model.state_dict(), 'model.ckpt')