code: def cpu_timestamp(*args, **kwargs):
      # perf_counter returns time in seconds
      return time.perf_counter()
  
file_path: ml-cvnets/main_benchmark.py
imports: import time
  from typing import Optional
  import torch
  from torch.cuda.amp import autocast
  from cvnets import get_model
  from engine.utils import autocast_fn
  from options.opts import get_benchmarking_arguments
  from utils import logger
  from utils.common_utils import device_setup
  from utils.pytorch_to_coreml import convert_pytorch_to_coreml
  from utils.tensor_utils import create_rand_tensor
label_desc: Use image node_id 1 for calling a global function with example usage: cpu_timestamp() and returns: time