code: def get_environment_description():
      """Returns a string describing the current Python / SpeechBrain environment.
  
      Useful for making experiments as replicable as possible.
  
      Returns
      -------
      str
          The string is formatted ready to be written to a file.
  
      Example
      -------
      >>> get_environment_description().splitlines()[0]
      'SpeechBrain system description'
      """
      python_version_str = "Python version:\n" + sys.version + "\n"
      try:
          freezed, _, _ = run_shell("pip freeze")
          python_packages_str = "Installed Python packages:\n"
          python_packages_str += freezed.decode(errors="replace")
      except OSError:
          python_packages_str = (
              "Could not list python packages with pip freeze"
          )
      try:
          git_hash, _, _ = run_shell("git rev-parse --short HEAD")
          git_str = "Git revision:\n" + git_hash.decode(
              errors="replace"
          )
      except OSError:
          git_str = "Could not get git revision"
      if torch.cuda.is_available():
          if torch.version.cuda is None:
              cuda_str = "ROCm version:\n" + torch.version.hip
          else:
              cuda_str = "CUDA version:\n" + torch.version.cuda
      else:
          cuda_str = "CUDA not available"
      result = "SpeechBrain system description\n"
      result += "==============================\n"
      result += python_version_str
      result += "==============================\n"
      result += python_packages_str
      result += "==============================\n"
      result += git_str
      result += "==============================\n"
      result += cuda_str
      return result
  
file_path: speechbrain/speechbrain/utils/logger.py
imports: import sys
  import os
  import yaml
  import tqdm
  import logging
  import logging.config
  import math
  import torch
  from speechbrain.utils.data_utils import recursive_update
  from speechbrain.utils.superpowers import run_shell
label_desc: Use image node_id 3 for calling a global function with example usage: get_environment_description() and returns: result