class_docstr: Fallback to the front-end implementation of random.multivariate_normal.
class_docstr_tok: ["Fallback","to","the","front-end","implementation","of","random.multivariate_normal","."]
code: def __init__(self, size=None):
      super(MultivariateNormal, self).__init__()
      self._size = size
  
imports: from distutils.version import StrictVersion
  import functools
  import ast
  import numpy
  from .None import operator
  from .None import numpy
  from .util import np_array, use_np
  from .numpy.utils import _STR_2_DTYPE_
  from .ndarray.numpy import _internal
  from .symbol.numpy import _internal
label_desc: Use image node_id 1 to create a new MultivariateNormal object from inherited base classes: operator with example: obj = MultivariateNormal(size)