ignite/distributed/comp_models/horovod.py [93:113]:
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        def get_nproc_per_node(self) -> int:
            return cast(int, self._nproc_per_node)

        def get_nnodes(self) -> int:
            return cast(int, self._nnodes)

        def get_node_rank(self) -> int:
            return cast(int, self._node)

        def device(self) -> torch.device:
            if torch.cuda.is_available():
                index = torch.cuda.current_device()
                if index < self.get_local_rank():
                    warnings.warn(
                        "Current device index is less than current local rank. "
                        "Please, make sure to call torch.cuda.set_device(local_rank)."
                    )
                return torch.device(f"cuda:{index}")
            return torch.device("cpu")

        def backend(self) -> str:
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ignite/distributed/comp_models/native.py [273:293]:
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        def get_nproc_per_node(self) -> int:
            return cast(int, self._nproc_per_node)

        def get_nnodes(self) -> int:
            return cast(int, self._nnodes)

        def get_node_rank(self) -> int:
            return cast(int, self._node)

        def device(self) -> torch.device:
            if torch.cuda.is_available():
                index = torch.cuda.current_device()
                if index < self.get_local_rank():
                    warnings.warn(
                        "Current device index is less than current local rank. "
                        "Please, make sure to call torch.cuda.set_device(local_rank)."
                    )
                return torch.device(f"cuda:{index}")
            return torch.device("cpu")

        def backend(self) -> str:
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