code: def timing_cuda(
      model, num_batches, input_ids, masks, decoder_input_ids
  ):
      start_event = torch.cuda.Event(enable_timing=True)
      end_event = torch.cuda.Event(enable_timing=True)
      start_event.record()
      for _ in range(num_batches):
          _ = model(
              input_ids, masks, decoder_input_ids=decoder_input_ids
          )
      end_event.record()
      torch.cuda.synchronize()
      return (
          start_event.elapsed_time(end_event) * 1.0e-3
      ) / num_batches
  
file_path: optimum/tests/bettertransformer/test_gpu.py
imports: import os
  import unittest
  import torch
  from parameterized import parameterized
  from transformers import AutoModel
  from optimum.bettertransformer import BetterTransformer
  from optimum.utils import logging
  from optimum.utils.testing_utils import grid_parameters
label_desc: Use image node_id 1 for calling a global function with example usage: timing_cuda(model, num_batches, input_ids, masks, decoder_input_ids) and returns: unknown