How can I split an array(or tensor) given to my custom loss function as an additional parameter?

Question

I made my custom loss function as below:

#Loss Function
def negative_log_likelihood(E):
  ET = tf.convert_to_tensor(E, dtype=tf.float32)
  def loss(y_true,y_p