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model serialization code changed

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yunjey
2017-03-18 16:28:19 +09:00
parent 6c74dfab60
commit 3a7a9cf07b
16 changed files with 41 additions and 37 deletions
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6
tutorials/05 - Deep Residual Network/main.py
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@ -103,7 +103,7 @@ class ResNet(nn.Module):
return out
resnet = ResNet(ResidualBlock, [2, 2, 2, 2])
resnet
# Loss and Optimizer
criterion = nn.CrossEntropyLoss()
@ -127,7 +127,7 @@ for epoch in range(80):
print ("Epoch [%d/%d], Iter [%d/%d] Loss: %.4f" %(epoch+1, 80, i+1, 500, loss.data[0]))
# Decaying Learning Rate
if (epoch+1) % 30 == 0:
if (epoch+1) % 20 == 0:
lr /= 3
optimizer = torch.optim.Adam(resnet.parameters(), lr=lr)
@ -144,4 +144,4 @@ for images, labels in test_loader:
print('Accuracy of the model on the test images: %d %%' % (100 * correct / total))
# Save the Model
torch.save(resnet, 'resnet.pkl')
torch.save(resnet.state_dict(), 'resnet.pkl')