code: def move_to_cuda(batch):
      return {k: v.cuda() for k, v in batch.items()}
  
imports: import argparse
  from typing import Callable, List, Union
  import evaluate
  import torch
  import torch.distributed
  import torch.nn
  from data import GLUEDataBuilder
  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 AutoConfig, GPT2ForSequenceClassification, get_linear_schedule_with_warmup
  import colossalai
  from colossalai.booster import Booster
  from colossalai.booster.plugin import GeminiPlugin, HybridParallelPlugin, LowLevelZeroPlugin, TorchDDPPlugin
  from colossalai.cluster import DistCoordinator
  from colossalai.nn.optimizer import HybridAdam
  from colossalai.utils import get_current_device
label_desc: Use image node_id 1 for calling a global function with example usage: move_to_cuda(batch) and returns: unknown