def random_normal(shape,
mean=0.0,
stddev=1.0,
dtype=dtypes.float32,
seed=None,
name=None):
return ops.RandomNormal(shape, mean, stddev)
def __call__(self, shape, dtype=None, **kwargs):
if dtype is None: dtype = self.dtype
return _ops.RandomNormal(
shape=shape,
mean=self.mean,
std=self.stddev,
dtype=dtype.name,
)
def random_normal(shape,
mean=0.0,
stddev=1.0,
dtype=dtypes.float32,
name=None):
"""
Outputs random values from a normal distribution.
Args:
shape: A 1-D integer Python array. The shape of the output tensor.
mean: A 0-D Python value of type `dtype`. The mean of the normal distribution.
stddev: A 0-D Python value of type `dtype`. The standard deviation of the normal distribution.
dtype: The type of the output.
name: A name for the operation (optional).
Returns:
A tensor of the specified shape filled with random normal values.
"""
return ops.RandomNormal(shape, mean, stddev, name=None)
def __call__(self, shape, dtype=None):
if dtype is None: dtype = self.dtype
return ops.RandomNormal(shape, self.mean, self.stddev)