code: def log_gpu_memory(logger, context):
      mem = torch.cuda.memory_allocated() // 1024**2
      logger.info(f"{mem:.1f}: {context}")
  
imports: from typing import List, Dict, Union, Set
  from pathlib import Path
  import random
  from transformers import AutoModel, AutoTokenizer
  from transformers.tokenization_utils import BatchEncoding
  from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
  import catalogue
  from spacy.util import registry
  from thinc.api import get_torch_default_device
  import torch.cuda
  import tempfile
  import shutil
  import contextlib
  import warnings
label_desc: Use image node_id 6 for calling a global function with example usage: log_gpu_memory(logger, context) without return types