e2db3b3f1d3d23cd5bc1e295835e0f4b33e95447,examples/cora_gcn.py,,,#,57
Before Change
acc = []
for run in range(1, 101):
model.conv1.reset_parameters()
model.conv2.reset_parameters()
After Change
train_mask, val_mask = train_mask.cuda(), val_mask.cuda()
test_mask, model = test_mask.cuda(), model.cuda()
optimizer = torch.optim.Adam(model.parameters(), lr=0.01, weight_decay=0.005)
def train():
model.train()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: rusty1s/pytorch_geometric
Commit Name: e2db3b3f1d3d23cd5bc1e295835e0f4b33e95447
Time: 2018-03-07
Author: matthias.fey@tu-dortmund.de
File Name: examples/cora_gcn.py
Class Name:
Method Name:
Project Name: philipperemy/keras-tcn
Commit Name: 22970258261f47131b32dfb809b418eb6baf0a6a
Time: 2018-03-22
Author: premy@reactive.co.jp
File Name: tcn/tcn.py
Class Name:
Method Name: dilated_tcn
Project Name: rusty1s/pytorch_geometric
Commit Name: 04ad358395c7bd074ffb9af235ccb76d2c0dc4cc
Time: 2020-07-01
Author: matthias.fey@tu-dortmund.de
File Name: examples/pna.py
Class Name:
Method Name: