parameters: (self, name="event_shape")
docstring: Shape of a sample from a single distribution as a 1-D int32 `Tensor`.
docstring_summary: Shape of a sample from a single distribution as a 1-D int32 `Tensor`.
docstring_tokens: Shape of a sample from a single distribution as a 1 - D int32 Tensor .
function: def event_shape(self, name="event_shape"):
      """Shape of a sample from a single distribution as a 1-D int32 `Tensor`."""
      # Recall _check_mu ensures mu and self._cov have same batch shape.
      with ops.name_scope(self.name):
        with ops.op_scope(self._cov.inputs, name):
          return array_ops.pack([self._cov.vector_space_dimension()])
function_tokens: def event_shape ( self , name = "event_shape" ) : # Recall _check_mu ensures mu and self._cov have same batch shape. with ops . name_scope ( self . name ) : with ops . op_scope ( self . _cov . inputs , name ) : return array_ops . pack ( [ self . _cov . vector_space_dimension ( ) ] )