def sample_normal ( mean , var , rng ) : ret = numpy . sqrt ( var ) * rng . randn ( * mean . shape ) + mean return ret
how to get random variable normal distribution with python
Sample from independent normal distributions
def sample_normal(mean, var, rng):
    """Sample from independent normal distributions

    Each element is an independent normal distribution.

    Parameters
    ----------
    mean : numpy.ndarray
      Means of the normal distribution. Shape --> (batch_num, sample_dim)
    var : numpy.ndarray
      Variance of the normal distribution. Shape --> (batch_num, sample_dim)
    rng : numpy.random.RandomState

    Returns
    -------
    ret : numpy.ndarray
       The sampling result. Shape --> (batch_num, sample_dim)
    """
    ret = numpy.sqrt(var) * rng.randn(*mean.shape) + mean
    return ret