def move_to_cuda(sample):
    if len(sample) == 0:
        return {}

    def _move_to_cuda(maybe_tensor):
        if torch.is_tensor(maybe_tensor):
            return maybe_tensor.cuda()
        elif isinstance(maybe_tensor, dict):
            return {
                key: _move_to_cuda(value)
                for key, value in maybe_tensor.items()
            }
        elif isinstance(maybe_tensor, list):
            return [_move_to_cuda(x) for x in maybe_tensor]
        else:
            return maybe_tensor

    return _move_to_cuda(sample)

• 对于每一个样例，都移动到cuda上

 for sample in t:
     sample = utils.move_to_cuda(sample) if use_cuda else sample