gistfile1.txt

with g.as_default():
    print([v.name for v in tf.all_variables()])
    W = [v for v in tf.all_variables() if v.name == "Conv/weights:0"][0]
    W_val = sess.run(W)
    fig, axes = plt.subplots(5, 5, figsize=(15, 15))
    for i in range(5):
        for j in range(5):
            axes[i, j].imshow(W_val[:, :, 0, i * 5 + j], interpolation='nearest', cmap='gray')
    plt.show()