def __init__(self, shape, seed=0):
super(Sampling, self).__init__()
self.b = msd.Beta(np.array([3.0]),
np.array([1.0]),
seed=seed,
dtype=dtype.float32)
self.shape = shape
def __init__(self):
super(KL, self).__init__()
self.b = msd.Beta(np.array([3.0]),
np.array([4.0]),
dtype=dtype.float32)
def __init__(self):
super(Net, self).__init__()
self.beta = msd.Beta(np.array([3.0]),
np.array([1.0]),
dtype=dtype.float32)
def __init__(self):
super(CrossEntropy, self).__init__()
self.b = msd.Beta(np.array([3.0]),
np.array([1.0]),
dtype=dtype.float32)