def forward_event_shape_tensor(self,<EOL>input_shape,<EOL>name="<STR_LIT>"):
with self._name_scope(name):<EOL><INDENT>input_shape = tf.convert_to_tensor(<EOL>value=input_shape, dtype=tf.int32, name="<STR_LIT>")<EOL>return self._forward_event_shape_tensor(input_shape)<EOL><DEDENT>
Shape of a single sample from a single batch as an `int32` 1D `Tensor`.

        Args:
          input_shape: `Tensor`, `int32` vector indicating event-portion shape
            passed into `forward` function.
          name: name to give to the op

        Returns:
          forward_event_shape_tensor: `Tensor`, `int32` vector indicating
            event-portion shape after applying `forward`.