code: def _to_device_fn(self, model, gpu=0):
      torch.cuda.set_device(gpu)
      if self.use_multi_gpu:
          model = nn.DataParallel(model)
      model = model.to(self.device)
      return model
  
imports: from collections import OrderedDict
  import os
  import numpy
  import torch
  from torch import nn
  from gluoncv.torch.utils.coot_utils import truncated_normal_fill
label_desc: Use image node_id 7 for calling the MultiModalTransformer obj's underlying member method code with example usage: obj._to_device_fn(model, gpu) and returns: model