text: import tensorflow as tf
  import numpy as np
  import hyperchamber as hc
  import inspect
  
  from hypergan.trainers.base_trainer import BaseTrainer
  
  TINY = 1e-12
  
  class MultiTrainerTrainer(BaseTrainer):
      def __init__(self, trainers):
          self.gan = trainers[0].gan
          self.config = trainers[0].config
          self.trainers = trainers
          BaseTrainer.__init__(self, self.gan, self.config)
  
      def required(self):
          return []
  
      def _create(self):
          gan = self.gan
          config = self.config
  
          for i, t in enumerate(self.trainers):
              t._create()
          return None
  
      def _step(self, feed_dict):
          gan = self.gan
          sess = gan.session
          config = self.config
  
          for i, t in enumerate(self.trainers):
              t.step(feed_dict)
  