f3a62a8080bab4c5482887be46f54734f23e0b98,evaluate.py,,,#,38
Before Change
test_dataset = test_data_loader.dataset
// Model
model = build_model()
// Load checkpoint
print("Load checkpoint from {}".format(checkpoint_path))
checkpoint = torch.load(checkpoint_path)
After Change
test_dataset = test_data_loader.dataset
// Model
model = build_model().to(device)
// Load checkpoint
print("Load checkpoint from {}".format(checkpoint_path))
checkpoint = torch.load(checkpoint_path)
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances
Project Name: r9y9/wavenet_vocoder
Commit Name: f3a62a8080bab4c5482887be46f54734f23e0b98
Time: 2018-05-04
Author: zryuichi@gmail.com
File Name: evaluate.py
Class Name:
Method Name:
Project Name: r9y9/wavenet_vocoder
Commit Name: 0a8e27413d721bf8d753e5e6061cc24f5bf6474f
Time: 2018-05-04
Author: zryuichi@gmail.com
File Name: train.py
Class Name:
Method Name: clone_as_averaged_model
Project Name: r9y9/wavenet_vocoder
Commit Name: f3a62a8080bab4c5482887be46f54734f23e0b98
Time: 2018-05-04
Author: zryuichi@gmail.com
File Name: synthesis.py
Class Name:
Method Name:
Project Name: r9y9/wavenet_vocoder
Commit Name: 0a8e27413d721bf8d753e5e6061cc24f5bf6474f
Time: 2018-05-04
Author: zryuichi@gmail.com
File Name: train.py
Class Name:
Method Name: