class_docstr: Base class inherited by all connector classes. A connector is to
  transform inputs into outputs with any specified structure and shape.
  For example, tranforming the final state of an encoder to the initial
  state of a decoder, and performing stochastic sampling in between as
  in Variational Autoencoders (VAEs).
  
  Args:
      output_size: Size of output **excluding** the batch dimension. For
          example, set `output_size` to `dim` to generate output of
          shape `[batch_size, dim]`.
          Can be an `int`, a tuple of `int`, a Tensorshape, or a tuple of
          TensorShapes.
          For example, to transform inputs to have decoder state size, set
          `output_size=decoder.state_size`.
      hparams (dict, optional): Hyperparameters. Missing
          hyperparamerter will be set to default values. See
          :meth:`default_hparams` for the hyperparameter sturcture and
          default values.
docstr: The output size.
          
docstr_tok: ["The","output","size","."]
code: def output_size(self):
      """The output size."""
      return self._output_size
  
imports: from texar.tf.module_base import ModuleBase
label_desc: Use image node_id 4 for calling the ConnectorBase obj's underlying member method code with example usage: obj.output_size() and returns: self