class_docstr: An RNN cell base class that can implement a stack or queue.
    
class_docstr_tok: ["An","RNN","cell","base","class","that","can","implement","a","stack","or","queue","."]
code: def output_size(self):
      return tf.TensorShape([1, self._embedding_size])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the NeuralStackCell obj's underlying member method code with example usage: obj.output_size() and returns: tf