code: def move_to_cuda(batch, device):
      return {k: v.to(device) for k, v in batch.items()}
  
file_path: ColossalAI/examples/language/opt/opt_train_demo.py
imports: import datasets
  import torch
  import transformers
  from args import parse_demo_args
  from data import NetflixDataset, netflix_collator
  from tqdm import tqdm
  from transformers import AutoConfig, AutoTokenizer, OPTForCausalLM, get_linear_schedule_with_warmup
  from transformers.utils.versions import require_version
  import colossalai
  from colossalai.booster import Booster
  from colossalai.booster.plugin import GeminiPlugin, HybridParallelPlugin, LowLevelZeroPlugin, TorchDDPPlugin
  from colossalai.cluster import DistCoordinator
  from colossalai.logging import disable_existing_loggers, get_dist_logger
  from colossalai.nn.optimizer import HybridAdam
label_desc: Use image node_id 1 for calling a global function with example usage: move_to_cuda(batch, device) and returns: unknown