Method to

training/verl/protocol.py:224–236

move the batch to device Args: device (torch.device, str): torch device Returns: DataProto: the current DataProto

(self, device)

        return cls(batch=tensor_dict, non_tensor_batch=non_tensors, meta_info=meta_info)

    def to(self, device) -> 'DataProto':
        """move the batch to device

        Args:
            device (torch.device, str): torch device

        Returns:
            DataProto: the current DataProto

        """
        if self.batch is not None:
            self.batch = self.batch.to(device)
        return self

    def select(self, batch_keys=None, non_tensor_batch_keys=None, meta_info_keys=None, deepcopy=False) -> 'DataProto':
        """Select a subset of the DataProto via batch_keys and meta_info_keys