utils.py 文件源码

def univariate_gaussian_likelihood(x, mu, sigma):
    result = tf.subtract(x, mu)
    result = tf.multiply(result,tf.reciprocal(sigma))
    result = -tf.square(result)/2.
    return tf.multiply(tf.exp(result),tf.reciprocal(sigma))/np.sqrt(2*np.pi)