Quiz on Miscellaneous Methods

Which explanation is computed by these lines of code?

    saliency = torch.zeros((1,1, MASK_SIZE, MASK_SIZE))
    mask_sum = torch.zeros((1,1, MASK_SIZE, MASK_SIZE))
    for i in range(NUM_MASKS):
        logits = model(mask*image.unsqueeze(0))
        prob = logits.detach().softmax(-1)[0, prediction]
        saliency[0,0] += mask[0, 0]*prob
        mask_sum[0,0] += mask[0,0]

    saliency = saliency/mask_sum