def logp()

in maddpg/common/distributions.py [0:0]


    def logp(self, x):
        return - 0.5 * U.sum(tf.square((x - self.mean) / self.std), axis=1) \
               - 0.5 * np.log(2.0 * np.pi) * tf.to_float(tf.shape(x)[1]) \
               - U.sum(self.logstd, axis=1)