reagent/training/ranking/seq2slate_tf_trainer.py [111:156]:
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            logged_slate_rank_probs=logged_slate_rank_prob,
            ranked_slate_rank_probs=ranked_slate_rank_prob,
        )

        if not self.calc_cpe:
            return

        edp_g = EvaluationDataPage.create_from_tensors_seq2slate(
            seq2slate_net,
            # pyre-fixme[6]: Expected `Module` for 2nd param but got
            #  `Optional[nn.Module]`.
            self.reward_network,
            batch,
            eval_greedy=True,
        )

        edp_ng = EvaluationDataPage.create_from_tensors_seq2slate(
            seq2slate_net,
            # pyre-fixme[6]: Expected `Module` for 2nd param but got
            #  `Optional[nn.Module]`.
            self.reward_network,
            batch,
            eval_greedy=False,
        )

        return edp_g, edp_ng

    # pyre-fixme[14]: Inconsistent override
    def validation_epoch_end(
        self, outputs: Optional[List[Tuple[EvaluationDataPage, EvaluationDataPage]]]
    ):
        if self.calc_cpe:
            assert outputs is not None
            eval_data_pages_g, eval_data_pages_ng = None, None
            for edp_g, edp_ng in outputs:
                if eval_data_pages_g is None and eval_data_pages_ng is None:
                    eval_data_pages_g = edp_g
                    eval_data_pages_ng = edp_ng
                else:
                    # pyre-fixme[16]: `Optional` has no attribute `append`
                    eval_data_pages_g.append(edp_g)
                    eval_data_pages_ng.append(edp_ng)
            self.reporter.log(
                eval_data_pages_g=eval_data_pages_g,
                eval_data_pages_ng=eval_data_pages_ng,
            )
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reagent/training/ranking/seq2slate_trainer.py [233:278]:
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            logged_slate_rank_probs=logged_slate_rank_prob,
            ranked_slate_rank_probs=ranked_slate_rank_prob,
        )

        if not self.calc_cpe:
            return

        edp_g = EvaluationDataPage.create_from_tensors_seq2slate(
            seq2slate_net,
            # pyre-fixme[6]: Expected `Module` for 2nd param but got
            #  `Optional[nn.Module]`.
            self.reward_network,
            batch,
            eval_greedy=True,
        )

        edp_ng = EvaluationDataPage.create_from_tensors_seq2slate(
            seq2slate_net,
            # pyre-fixme[6]: Expected `Module` for 2nd param but got
            #  `Optional[nn.Module]`.
            self.reward_network,
            batch,
            eval_greedy=False,
        )

        return edp_g, edp_ng

    # pyre-fixme[14]: Inconsistent override
    def validation_epoch_end(
        self, outputs: Optional[List[Tuple[EvaluationDataPage, EvaluationDataPage]]]
    ):
        if self.calc_cpe:
            assert outputs is not None
            eval_data_pages_g, eval_data_pages_ng = None, None
            for edp_g, edp_ng in outputs:
                if eval_data_pages_g is None and eval_data_pages_ng is None:
                    eval_data_pages_g = edp_g
                    eval_data_pages_ng = edp_ng
                else:
                    # pyre-fixme[16]: `Optional` has no attribute `append`
                    eval_data_pages_g.append(edp_g)
                    eval_data_pages_ng.append(edp_ng)
            self.reporter.log(
                eval_data_pages_g=eval_data_pages_g,
                eval_data_pages_ng=eval_data_pages_ng,
            )
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