inf.py

for i, data in enumerate(test_dataloader, 0):
    x0, x1 = data
    concat = torch.cat((x0, x1), 0)
    output1, output2 = model(x0.to(device), x1.to(device))
    eucledian_distance = F.pairwise_distance(output1, output2)
    if label == torch.FloatTensor([[0]]):
        label = "Original Pair Of Signature"
    else:
        label = "Forged Pair Of Signature"