50822819b664cd9d751d410a5eabd4cc0688311d,examples/tgn.py,,,#,38
Before Change
link_pred = LinkPredictor(in_channels=100).to(device)
optimizer = torch.optim.Adam(
list(model.parameters()) + list(link_pred.parameters()), lr=0.0001)
criterion = torch.nn.BCEWithLogitsLoss()
assoc = torch.empty(data.num_nodes, dtype=torch.long, device=device)
After Change
sampler = NeighborSampler(data, size=10)
train_data, val_data, test_data = data.train_val_test_split(
val_ratio=0.15, test_ratio=0.15)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: rusty1s/pytorch_geometric
Commit Name: 50822819b664cd9d751d410a5eabd4cc0688311d
Time: 2020-11-03
Author: matthias.fey@tu-dortmund.de
File Name: examples/tgn.py
Class Name:
Method Name:
Project Name: layumi/Person_reID_baseline_pytorch
Commit Name: 4888cb7a5299f7eed9214ddc70871dc05ea0f4d2
Time: 2019-03-20
Author: zdzheng12@gmail.com
File Name: model/ft_ResNet50/train.py
Class Name:
Method Name:
Project Name: Microsoft/nni
Commit Name: 73b2221b5eb4fd21802e6bf41e21d5df8ef9bf2c
Time: 2019-11-22
Author: v-yugzh@microsoft.com
File Name: src/sdk/pynni/nni/nas/pytorch/darts/trainer.py
Class Name: DartsTrainer
Method Name: _compute_hessian