reagent/reporting/seq2reward_reporter.py [50:70]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    (
                        "eval_q_values_per_batch",
                        agg.FunctionsByActionAggregator(
                            "eval_q_values", self.action_names, {"mean": torch.mean}
                        ),
                    ),
                    (
                        "eval_action_distribution_per_batch",
                        agg.FunctionsByActionAggregator(
                            "eval_action_distribution",
                            self.action_names,
                            {"mean": torch.mean},
                        ),
                    ),
                ],
                [
                    (
                        f"{key}_tb",
                        agg.TensorBoardHistogramAndMeanAggregator(key, log_key),
                    )
                    for key, log_key in [
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



reagent/reporting/seq2reward_reporter.py [109:129]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                    (
                        "eval_q_values_per_batch",
                        agg.FunctionsByActionAggregator(
                            "eval_q_values", self.action_names, {"mean": torch.mean}
                        ),
                    ),
                    (
                        "eval_action_distribution_per_batch",
                        agg.FunctionsByActionAggregator(
                            "eval_action_distribution",
                            self.action_names,
                            {"mean": torch.mean},
                        ),
                    ),
                ],
                [
                    (
                        f"{key}_tb",
                        agg.TensorBoardHistogramAndMeanAggregator(key, log_key),
                    )
                    for key, log_key in [
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -