supervised_reptile/reptile.py [31:62]:
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    def train_step(self,
                   dataset,
                   input_ph,
                   label_ph,
                   minimize_op,
                   num_classes,
                   num_shots,
                   inner_batch_size,
                   inner_iters,
                   replacement,
                   meta_step_size,
                   meta_batch_size):
        """
        Perform a Reptile training step.

        Args:
          dataset: a sequence of data classes, where each data
            class has a sample(n) method.
          input_ph: placeholder for a batch of samples.
          label_ph: placeholder for a batch of labels.
          minimize_op: TensorFlow Op to minimize a loss on the
            batch specified by input_ph and label_ph.
          num_classes: number of data classes to sample.
          num_shots: number of examples per data class.
          inner_batch_size: batch size for every inner-loop
            training iteration.
          inner_iters: number of inner-loop iterations.
          replacement: sample with replacement.
          meta_step_size: interpolation coefficient.
          meta_batch_size: how many inner-loops to run.
        """
        old_vars = self._model_state.export_variables()
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supervised_reptile/reptile.py [168:180]:
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    def train_step(self,
                   dataset,
                   input_ph,
                   label_ph,
                   minimize_op,
                   num_classes,
                   num_shots,
                   inner_batch_size,
                   inner_iters,
                   replacement,
                   meta_step_size,
                   meta_batch_size):
        old_vars = self._model_state.export_variables()
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