code: def profile(
      function: Callable,
      profile_fname: str,
      filter: str = "",
      period=0.0001,
      **kwargs,
  ):
      """
      Profile a given function with ``vmprof``.
  
      Args:
          function (Callable): function to profile
          profile_fname (str): path where to save profile (`.txt` file will be saved with line profile)
          filter (str, optional): filter name (e.g. module name) to filter profile. Defaults to "".
          period (float, optional): frequency of calling profiler in seconds. Defaults to 0.0001.
      """
      import vmprof
      from vmprof.show import LinesPrinter
  
      # profiler config
      with open(profile_fname, "wb+") as fd:
          # start profiler
          vmprof.enable(fd.fileno(), lines=True, period=period)
          # run function
          function(**kwargs)
          # stop profiler
          vmprof.disable()
  
      # write report to disk
      if kwargs.get("lines", True):
          with open(
              f"{os.path.splitext(profile_fname)[0]}.txt", "w"
          ) as f:
              with redirect_stdout(f):
                  LinesPrinter(filter=filter).show(profile_fname)
  
imports: from collections import namedtuple
  from contextlib import redirect_stdout
  import inspect
  import os
  from typing import Any, Callable, Dict, List, Tuple, Union
  import lightning.pytorch
  import torch
  from torch import nn
  from torch.fft import irfft, rfft
  import torch.nn.functional
  from torch.nn.utils import rnn
label_desc: Use image node_id 3 for calling a global function with example usage: profile(function, profile_fname, filter, period) without return types