94e56839e1db5b90e303335ef26bce9daec71c3e,code/HardNetMultipleDatasets.py,,test,#,550

Before Change

        data_a, data_p, label = Variable(data_a, volatile=True), \
                                Variable(data_p, volatile=True), Variable(label)

        out_a, out_p = model(data_a), model(data_p)
        dists = torch.sqrt(torch.sum((out_a - out_p) ** 2, 1))  // euclidean distance
        distances.append(dists.data.cpu().numpy().reshape(-1, 1))
        ll = label.data.cpu().numpy().reshape(-1, 1)
        labels.append(ll)

After Change

                                Variable(data_p, volatile=True), Variable(label)

        out_a = model(data_a)
        out_p = model(data_p)
        dists = torch.sqrt(torch.sum((out_a - out_p) ** 2, 1))  // euclidean distance
        distances.append(dists.data.cpu().numpy().reshape(-1, 1))
        ll = label.data.cpu().numpy().reshape(-1, 1)
        labels.append(ll)

Instances