def __init__(self,
loc=None,
scale=None,
seed=0,
dtype=mstype.float32,
name="LogNormal"):
"""
Constructor of LogNormal distribution.
"""
super(LogNormal, self).__init__(distribution=msd.Normal(loc, scale, dtype=dtype),
bijector=msb.Exp(),
seed=seed, name=name)
self.log_2pi = np.log(2 * np.pi)
#ops needed for the class
self.exp = exp_generic
self.expm1 = expm1_generic
self.log = log_generic
self.const = P.ScalarToArray()
self.erf = P.Erf()
self.fill = P.Fill()
self.shape = P.Shape()
self.sq = P.Square()
self.sqrt = P.Sqrt()
self.zeroslike = P.ZerosLike()
def __init__(self,
loc=None,
scale=None,
seed=0,
dtype=mstype.float32,
name="LogNormal"):
"""
Constructor of LogNormal distribution.
"""
super(LogNormal, self).__init__(distribution=msd.Normal(loc, scale, dtype=dtype),
bijector=msb.Exp(),
seed=seed, name=name)
# overwrite default_parameters and parameter_names
self._reset_parameters()
self._loc = self._add_parameter(loc, 'loc')
self._scale = self._add_parameter(scale, 'scale')
self.log_2pi = np.log(2 * np.pi)
#ops needed for the class
self.dtypeop = P.DType()
self.exp = exp_generic
self.expm1 = P.Expm1()
self.log = log_generic
self.const = P.ScalarToArray()
self.erf = P.Erf()
self.fill = P.Fill()
self.greater = P.Greater()
self.select = P.Select()
self.shape = P.Shape()
self.sq = P.Square()
self.sqrt = P.Sqrt()
self.cast = P.Cast()
self.squeeze = P.Squeeze(0)
def test_init():
"""
Test initializations.
"""
b = msb.Invert(msb.ScalarAffine(scale=1.0))
assert isinstance(b, msb.Bijector)
b = msb.Invert(msb.Exp())
assert isinstance(b, msb.Bijector)
def __init__(self):
super(Jacobian, self).__init__()
self.b1 = msb.Exp()
self.b2 = msb.Exp()
def __init__(self):
super(Net, self).__init__()
self.b1 = msb.Exp()
self.b2 = msb.Exp()
def test_init():
b = msb.Exp()
assert isinstance(b, msb.Bijector)
b = msb.Exp(1.0)
assert isinstance(b, msb.Bijector)
def test_type():
with pytest.raises(TypeError):
msb.Exp(name=0.1)
def __init__(self):
super(Net3, self).__init__()
self.bijector = msb.Exp()
def __init__(self):
super(BackwardJacobian, self).__init__()
self.inv1 = msb.Invert(msb.Exp())
self.inv2 = msb.Invert(msb.ScalarAffine())
def __init__(self):
super(ForwardBackward, self).__init__()
self.inv1 = msb.Invert(msb.Exp())
self.inv2 = msb.Invert(msb.ScalarAffine())
def test_type():
with pytest.raises(TypeError):
msb.Invert(msb.Exp(), name=0.1)
with pytest.raises(TypeError):
msb.Invert(0.1)
