class_docstr: Multivariate Gaussian distribution, specified by the mean vector
  and the Cholesky factor of its covariance matrix.
  
  Parameters
  ----------
  mu
      mean vector, of shape (..., d)
  L
      Lower triangular Cholesky factor of covariance matrix, of shape
      (..., d, d)
  F
      A module that can either refer to the Symbol API or the NDArray
      API in MXNet
code: def __init__(self, mu: Tensor, L: Tensor, F=None) -> None:
      self.mu = mu
      self.L = L
  
imports: import math
  from typing import Optional, Tuple
  import numpy
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from gluonts.mx.linalg_util import lower_triangular_ones
  from .distribution import Distribution, _sample_multiple, getF
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 1 to create a new MultivariateGaussian object from inherited base classes: Distribution with example: obj = MultivariateGaussian(mu, L, F)