)
    scores.append((relevant.clone(), irrelevant.clone()))
    relevant, irrelevant = propagate_relu(relevant, irrelevant, mods[1])
    relevant, irrelevant = propagate_conv_linear(relevant, irrelevant, mods[2])
    scores.append((relevant.clone(), irrelevant.clone()))
    relevant, irrelevant = propagate_relu(relevant, irrelevant, mods[3])
    relevant, irrelevant = propagate_pooling(relevant, irrelevant, mods[4])

    #         (5): Conv2d (64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    