original_docstring: 
          Called to create the model, this is called in the constructor
          :param model_input:
              A Tensor for the input data into the model.
              if None then a default input is used instead
          :return:
              A tensorflow object representing the output of the model
              This output should be able to be run and create an action
              And a tensorflow object representing the logits of the model
              This output should be able to be used in training
          
docstring: Called to create the model, this is called in the constructor
docstring_tokens: Called to create the model this is called in the constructor
code: def create_model(self, model_input=None):
          """
          Called to create the model, this is called in the constructor
          :param model_input:
              A Tensor for the input data into the model.
              if None then a default input is used instead
          :return:
              A tensorflow object representing the output of the model
              This output should be able to be run and create an action
              And a tensorflow object representing the logits of the model
              This output should be able to be used in training
          """
          input = self.get_input(model_input)
  
          self.controller_predictions = self._create_model(input)
code_tokens: def create_model ( self , model_input = None ) : input = self . get_input ( model_input ) self . controller_predictions = self . _create_model ( input )
short_docstring: Called to create the model, this is called in the constructor
short_docstring_tokens: Called to create the model this is called in the constructor
comment: """
          Called to create the model, this is called in the constructor
          :param model_input:
              A Tensor for the input data into the model.
              if None then a default input is used instead
          :return:
              A tensorflow object representing the output of the model
              This output should be able to be run and create an action
              And a tensorflow object representing the logits of the model
              This output should be able to be used in training
          """