import tensorflow as tf

		pred, K, reprojected, crit_fake = model(x2d)
		crit_real = model.crit(x3d)

		crit_dis = tf.reduce_mean(tf.square(crit_real - tf.ones_like(crit_real))) + tf.reduce_mean(tf.square(crit_fake - tf.zeros_like(crit_fake)))
		crit_gen = tf.reduce_mean(tf.square(crit_fake - tf.ones_like(crit_fake)))

