laplace.py 文件源码

def _sample_n(self, n, seed=None):
    shape = array_ops.concat(([n], self.batch_shape()), 0)
    # Sample uniformly-at-random from the open-interval (-1, 1).
    uniform_samples = random_ops.random_uniform(
        shape=shape,
        minval=np.nextafter(self.dtype.as_numpy_dtype(-1.),
                            self.dtype.as_numpy_dtype(0.)),
        maxval=1.,
        dtype=self.dtype,
        seed=seed)
    return (self.loc - self.scale * math_ops.sign(uniform_samples) *
            math_ops.log(1. - math_ops.abs(uniform_samples)))