TF2: CarliniWagnerL2 fails if argument y is provided and batch size is unequal to number of samples

[thijs-vanweezel]

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Describe the bug
If an argument for parameter y is provided in the function carlini_wagner_l2, the error below is raised, and the only way to avoid this is to set argument batch_size equal to the number of samples in y.
CarliniWagnerL2Exception: x and y do not have the same shape!

To Reproduce

import tensorflow as tf
from cleverhans.tf2.attacks.carlini_wagner_l2 import carlini_wagner_l2

(x, y), _ = tf.keras.datasets.cifar10.load_data()
x = tf.image.convert_image_dtype(y, dtype=tf.float32)

# <load model here>

x_adv = carlini_wagner_l2(classifier, x=x[:8], y=y[:8], max_iterations=10, batch_size=4) # arguments chosen for time concerns

Expected behavior
Just like x, the argument y should be split into batches.