parameters: (self, event_ndims=2, validate_args=False,
                 name="cholesky_outer_product")
docstring: Instantiates the `CholeskyOuterProduct` bijector.
  
      Args:
        event_ndims: `constant` `int32` scalar `Tensor` indicating the number of
          dimensions associated with a particular draw from the distribution. Must
          be 0 or 2.
        validate_args: Python `bool` indicating whether arguments should be
          checked for correctness.
        name: Python `str` name given to ops managed by this object.
  
      Raises:
        ValueError: if event_ndims is neither 0 or 2.
docstring_summary: Instantiates the `CholeskyOuterProduct` bijector.
docstring_tokens: Instantiates the CholeskyOuterProduct bijector .
function: def __init__(self, event_ndims=2, validate_args=False,
                 name="cholesky_outer_product"):
      """Instantiates the `CholeskyOuterProduct` bijector.
  
      Args:
        event_ndims: `constant` `int32` scalar `Tensor` indicating the number of
          dimensions associated with a particular draw from the distribution. Must
          be 0 or 2.
        validate_args: Python `bool` indicating whether arguments should be
          checked for correctness.
        name: Python `str` name given to ops managed by this object.
  
      Raises:
        ValueError: if event_ndims is neither 0 or 2.
      """
      self._graph_parents = []
      self._name = name
      with self._name_scope("init", values=[event_ndims]):
        event_ndims = ops.convert_to_tensor(event_ndims, name="event_ndims")
        event_ndims = tensor_util.constant_value(event_ndims)
      if event_ndims is None or event_ndims not in [0, 2]:
        raise ValueError("`event_ndims` must be a TF constant which is 0 or 2")
      self._static_event_ndims = event_ndims
      super(CholeskyOuterProduct, self).__init__(
          event_ndims=event_ndims,
          validate_args=validate_args,
          name=name)
function_tokens: def __init__ ( self , event_ndims = 2 , validate_args = False , name = "cholesky_outer_product" ) : self . _graph_parents = [ ] self . _name = name with self . _name_scope ( "init" , values = [ event_ndims ] ) : event_ndims = ops . convert_to_tensor ( event_ndims , name = "event_ndims" ) event_ndims = tensor_util . constant_value ( event_ndims ) if event_ndims is None or event_ndims not in [ 0 , 2 ] : raise ValueError ( "`event_ndims` must be a TF constant which is 0 or 2" ) self . _static_event_ndims = event_ndims super ( CholeskyOuterProduct , self ) . __init__ ( event_ndims = event_ndims , validate_args = validate_args , name = name )