code: def grid_visual(data):
    
    import matplotlib.pyplot as plt
  
    # Ensure interactive mode is disabled and initialize our graph
    plt.ioff()
    figure = plt.figure()
    figure.canvas.set_window_title('Cleverhans: Grid Visualization')
  
    # Add the images to the plot
    num_cols = data.shape[0]
    num_rows = data.shape[1]
    num_channels = data.shape[4]
    for y in range(num_rows):
      for x in range(num_cols):
        figure.add_subplot(num_rows, num_cols, (x + 1) + (y * num_cols))
        plt.axis('off')
  
        if num_channels == 1:
          plt.imshow(data[x, y, :, :, 0], cmap='gray')
        else:
          plt.imshow(data[x, y, :, :, :])
  
    # Draw the plot and return
    plt.show()
    return figure
docs: This function displays a grid of images to show full misclassification
    :param data: grid data of the form;
        [nb_classes : nb_classes : img_rows : img_cols : nb_channels]
    :return: if necessary, the matplot figure to reuse