class_docstr: Control
      
code: def __init__(self, inputs, vocab, gamma, lambda_g, hparams=None):
      self._hparams = tx.HParams(hparams, None)
      self._build_model(inputs, vocab, gamma, lambda_g)
  
file_path: texar/examples/text_style_transfer/ctrl_gen_model.py
imports: import tensorflow
  import texar.tf
  from texar.tf.modules import WordEmbedder, UnidirectionalRNNEncoder, MLPTransformConnector, AttentionRNNDecoder, GumbelSoftmaxEmbeddingHelper, Conv1DClassifier
  from texar.tf.core import get_train_op
  from texar.tf.utils import collect_trainable_variables, get_batch_size
label_desc: Use image node_id 1 to create a new CtrlGenModel object from inherited base classes: object with example: obj = CtrlGenModel(inputs, vocab, gamma, lambda_g, hparams)