code: def move_to_cuda(batch, device):
      return {k: v.to(device) for k, v in batch.items()}
  
imports: from typing import Any, Callable, Iterator
  import torch
  import torch.distributed
  import torch.nn
  import transformers
  from args import parse_demo_args
  from data import BeansDataset, beans_collator
  from torch.optim import Optimizer
  from torch.optim.lr_scheduler import _LRScheduler
  from torch.utils.data import DataLoader
  from tqdm import tqdm
  from transformers import ViTConfig, ViTForImageClassification, ViTImageProcessor
  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.lr_scheduler import CosineAnnealingWarmupLR
  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