parameters: (self, serialized)
return_statement: return (tups['info_state'], tups['action_probs'], tups['iteration'],
              tups['legal_actions'])
docstring: Deserializes a batch of strategy examples for the train step.
docstring_summary: Deserializes a batch of strategy examples for the train step.
docstring_tokens: Deserializes a batch of strategy examples for the train step .
function: def _deserialize_strategy_memory(self, serialized):
      """Deserializes a batch of strategy examples for the train step."""
      tups = tf.io.parse_example(serialized, self._strategy_feature_description)
      return (tups['info_state'], tups['action_probs'], tups['iteration'],
              tups['legal_actions'])
function_tokens: def _deserialize_strategy_memory ( self , serialized ) : tups = tf . io . parse_example ( serialized , self . _strategy_feature_description ) return ( tups [ 'info_state' ] , tups [ 'action_probs' ] , tups [ 'iteration' ] , tups [ 'legal_actions' ] )