code: def _get_fp16_context(use_fp16=False):
      if use_fp16:
          return torch.cuda.amp.autocast()
      else:
          return contextlib.nullcontext()
  
imports: import argparse
  import contextlib
  from functools import reduce
  import logging
  import math
  import operator
  import time
  import numpy
  import torch
  from torch.optim import Adam
  from torch.utils.data.dataloader import DataLoader
  from torchvision.datasets import FakeData
  from torchvision.transforms import ToTensor
  from benchmarks.datasets.wikitext2_data import get_real_dataloaders
  from benchmarks.datasets.wikitext2_data import get_synthetic_dataloaders
  from benchmarks.golden_configs.lm_wikitext2 import Offload_Sequential
  from benchmarks.golden_configs.lm_wikitext2 import Offload_Transformer
  from benchmarks.models import transformer_lm
  from fairscale.experimental.nn.offload import OffloadModel
label_desc: Use image node_id 6 for calling a global function with example usage: _get_fp16_context(use_fp16) and returns: torch, contextlib