videoalignment/eval.py [382:393]:
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            ts = ts.float().to(device)
            xs = xs.float().to(device)
            fvs.append(model.single_fv(ts, xs).data.cpu().numpy())
        fvs = np.concatenate(fvs, 0)

    # Compute pairwise scores
    all_pairs = dataset_obj.all_pairs
    iter_comb = list(itertools.combinations(fvs, 2))
    scores = []

    length = dataset_obj.length
    all_offsets = torch.arange(-length, length).unsqueeze(0).to(device)
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videoalignment/eval.py [462:472]:
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            ts = ts.float().to(device)
            xs = xs.float().to(device)
            fvs.append(model.single_fv(ts, xs).data.cpu().numpy())
    fvs = np.concatenate(fvs, 0)

    # Compute pairwise scores
    all_pairs = dataset_obj.all_pairs
    iter_comb = list(itertools.combinations(fvs, 2))
    scores = []
    length = dataset_obj.length
    all_offsets = torch.arange(-length, length).unsqueeze(0).to(device)
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