32c7386aef93737926069ee284d827f8e954e086,vae/main.py,,test,#Any#,122
Before Change
recon_batch, mu, logvar = model(batch)
test_loss += loss_function(recon_batch, batch, mu, logvar)
test_loss = test_loss.data[0] / test_data.size(0)
print("====> Test set results: {:.4f}".format(test_loss))
for epoch in range(1, NUM_EPOCHS + 1):
After Change
recon_batch, mu, logvar = model(data)
test_loss += loss_function(recon_batch, data, mu, logvar).data[0]
test_loss /= len(test_loader.dataset)
print("====> Test set loss: {:.4f}".format(test_loss))
for epoch in range(1, args.epochs + 1):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: pytorch/examples
Commit Name: 32c7386aef93737926069ee284d827f8e954e086
Time: 2017-01-17
Author: adam.paszke@gmail.com
File Name: vae/main.py
Class Name:
Method Name: test
Project Name: ncullen93/torchsample
Commit Name: a7d92f7020dfe8854430ef13ed2923b2606a6262
Time: 2017-05-11
Author: ncullen.th@dartmouth.edu
File Name: torchsample/utils.py
Class Name:
Method Name: th_random_choice