 = propagate_relu(relevant, irrelevant, mods[6])
    relevant, irrelevant = propagate_conv_linear(relevant, irrelevant, mods[7])
    scores.append((relevant.clone(), irrelevant.clone()))
    relevant, irrelevant = propagate_relu(relevant, irrelevant, mods[8])
    relevant, irrelevant = propagate_pooling(relevant, irrelevant, mods[9])

    #         (10): Conv2d (128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    #         (11): ReLU(inplace)
    #         (12): Conv2d (256, 256, kernel_size=(3