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code for saving the model is added

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yunjey
2017-03-11 14:54:46 +09:00
parent 278c13513f
commit 86a0872430
17 changed files with 630 additions and 37 deletions
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9
tutorials/07 - Bidirectional Recurrent Neural Network/main-gpu.py
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@ -16,12 +16,12 @@ num_epochs = 2
learning_rate = 0.003
# MNIST Dataset
train_dataset = dsets.MNIST(root='./data/',
train_dataset = dsets.MNIST(root='../data/',
train=True,
transform=transforms.ToTensor(),
download=True)
test_dataset = dsets.MNIST(root='./data/',
test_dataset = dsets.MNIST(root='../data/',
train=False,
transform=transforms.ToTensor())
@ -88,4 +88,7 @@ for images, labels in test_loader:
total += labels.size(0)
correct += (predicted.cpu() == labels).sum()
print('Test Accuracy of the model on the 10000 test images: %d %%' % (100 * correct / total))
print('Test Accuracy of the model on the 10000 test images: %d %%' % (100 * correct / total))
# Save the Model
torch.save(rnn, 'rnn.pkl')