bc9da61d8c8c2df4c3a31dad92d44ace8dc1c4c5,test/data/test_sampler.py,,test_cora,#,50

Before Change


    model = Net()

    out_all = model.forward_all(data.x, data.edge_index)
    print(out_all[0])

    for data_flow in loader(torch.tensor([0])):
        x = data.x[data_flow[0].n_id]

After Change




def test_cora():
    root = osp.join("/", "tmp", str(random.randrange(sys.maxsize)))
    dataset = Planetoid(root, "Cora")
    data = dataset[0]

    loader = NeighborSampler(data, size=1.0, num_hops=3, batch_size=64,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: rusty1s/pytorch_geometric
Commit Name: bc9da61d8c8c2df4c3a31dad92d44ace8dc1c4c5
Time: 2019-07-09
Author: matthias.fey@tu-dortmund.de
File Name: test/data/test_sampler.py
Class Name:
Method Name: test_cora


Project Name: commonsense/conceptnet5
Commit Name: 2a437760c9344a20a5785f5b4706950c911534b6
Time: 2015-04-08
Author: rob@luminoso.com
File Name: conceptnet5/formats/sql.py
Class Name: EdgeIndexReader
Method Name: random


Project Name: ysig/GraKeL
Commit Name: 34f48a46d4d27c92c7290a211e6bbe608e718552
Time: 2017-11-20
Author: y.siglidis@gmail.com
File Name: grakel/kernels.py
Class Name:
Method Name: sample_graphlets