parameters: (self, name="event_shape")
docstring: Shape of a sample from a single distribution as a 1-D int32 `Tensor`.
  
      Args:
        name: name to give to the op.
  
      Returns:
        `Tensor` `event_shape`
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`.
  
      Args:
        name: name to give to the op.
  
      Returns:
        `Tensor` `event_shape`
      """
      with ops.name_scope(self.name):
        with ops.op_scope([], name):
          return constant_op.constant([], dtype=dtypes.int32)
function_tokens: def event_shape ( self , name = "event_shape" ) : with ops . name_scope ( self . name ) : with ops . op_scope ( [ ] , name ) : return constant_op . constant ( [ ] , dtype = dtypes . int32 )