What is meant by this objective function ? is it conditional DCGAN ?

def sigmoid_cross_entropy_with_logits(x, y):
try:
return tf.nn.sigmoid_cross_entropy_with_logits(logits=x, labels=y)
except:
return tf.nn.sigmoid_cross_entropy_with_logits(logits=x, targets=y)

self.d_loss_real = tf.reduce_mean( sigmoid_cross_entropy_with_logits(self.D_logits, tf.ones_like(self.D)))
self.d_loss_fake = tf.reduce_mean( sigmoid_cross_entropy_with_logits(self.D_logits_, tf.zeros_like(self.D_)))
self.g_loss = tf.reduce_mean( sigmoid_cross_entropy_with_logits(self.D_logits_, tf.ones_like(self.D_)))