classy_vision/meters/precision_meter.py [109:126]:
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            "curr_correct_predictions_k": self._curr_correct_predictions_k.clone(),
        }

    def set_classy_state(self, state):
        assert (
            self.name == state["name"]
        ), "State name {state_name} does not match meter name {obj_name}".format(
            state_name=state["name"], obj_name=self.name
        )
        assert (
            self._topk == state["top_k"]
        ), "top-k of state {state_k} does not match object's top-k {obj_k}".format(
            state_k=state["top_k"], obj_k=self._topk
        )

        # Restore the state -- correct_predictions and sample_count.
        self.reset()
        self._total_correct_predictions_k = state["total_correct_predictions"].clone()
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classy_vision/meters/recall_meter.py [108:125]:
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            "curr_correct_predictions_k": self._curr_correct_predictions_k.clone(),
        }

    def set_classy_state(self, state):
        assert (
            self.name == state["name"]
        ), "State name {state_name} does not match meter name {obj_name}".format(
            state_name=state["name"], obj_name=self.name
        )
        assert (
            self._topk == state["top_k"]
        ), "top-k of state {state_k} does not match object's top-k {obj_k}".format(
            state_k=state["top_k"], obj_k=self._topk
        )

        # Restore the state -- correct_predictions and correct_targets.
        self.reset()
        self._total_correct_predictions_k = state["total_correct_predictions"].clone()
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