class_docstr: Create a Normal distribution object.
  
  Parameters
  ----------
  loc : Tensor or scalar, default 0
      mean of the distribution.
  scale : Tensor or scalar, default 1
      standard deviation of the distribution
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docstr: Return the natural parameters of normal distribution,
  which are (\frac{\mu}{\sigma^2}, -0.5 / (\sigma^2))
  
  Returns
  -------
  Tuple
      Natural parameters of normal distribution.
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code: def _natural_params(self):
      r"""Return the natural parameters of normal distribution,
      which are (\frac{\mu}{\sigma^2}, -0.5 / (\sigma^2))
  
      Returns
      -------
      Tuple
          Natural parameters of normal distribution.
      """
      return (
          self.loc / (self.scale**2),
          -0.5 * np.reciprocal(self.scale**2),
      )
  
file_path: mxnet/python/mxnet/gluon/probability/distributions/normal.py
imports: import math
  from .constraint import Real, Positive
  from .exp_family import ExponentialFamily
  from .utils import erf, erfinv
  from ....None import np, npx
label_desc: Use image node_id 12 for calling the Normal obj's underlying member method code with example usage: obj._natural_params() and returns: unknown,  unknown