class_docstr: Attention net.  See file docstring.
class_docstr_tok: ["Attention","net",".","See","file","docstring","."]
code: def __init__(self, *args, **kwargs):
      super(NeuralAssistant, self).__init__(*args, **kwargs)
      self.attention_weights = (
          dict()
      )  # For visualizing attention heads.
  
      # Loss scheduling.
      hparams = self._hparams
      self.triple_num = hparams.train_triple_num
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import six
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 to create a new NeuralAssistant object from inherited base classes: transformer with example: obj = NeuralAssistant()