code: def pytorch_after(
      major: int,
      minor: int,
      patch: int = 0,
      current_ver_string: str | None = None,
  ) -> bool:
      """
      Compute whether the current pytorch version is after or equal to the specified version.
      The current system pytorch version is determined by `torch.__version__` or
      via system environment variable `PYTORCH_VER`.
  
      Args:
          major: major version number to be compared with
          minor: minor version number to be compared with
          patch: patch version number to be compared with
          current_ver_string: if None, `torch.__version__` will be used.
  
      Returns:
          True if the current pytorch version is greater than or equal to the specified version.
      """
  
      try:
          if current_ver_string is None:
              _env_var = os.environ.get("PYTORCH_VER", "")
              current_ver_string = (
                  _env_var if _env_var else torch.__version__
              )
          ver, has_ver = optional_import(
              "pkg_resources", name="parse_version"
          )
          if has_ver:
              return ver(".".join((f"{major}", f"{minor}", f"{patch}"))) <= ver(f"{current_ver_string}")  # type: ignore
          parts = f"{current_ver_string}".split("+", 1)[0].split(".", 3)
          while len(parts) < 3:
              parts += ["0"]
          c_major, c_minor, c_patch = parts[:3]
      except (AttributeError, ValueError, TypeError):
          c_major, c_minor = get_torch_version_tuple()
          c_patch = "0"
      c_mn = int(c_major), int(c_minor)
      mn = int(major), int(minor)
      if c_mn != mn:
          return c_mn > mn
      is_prerelease = ("a" in f"{c_patch}".lower()) or (
          "rc" in f"{c_patch}".lower()
      )
      c_p = 0
      try:
          p_reg = re.search(r"\d+", f"{c_patch}")
          if p_reg:
              c_p = int(p_reg.group())
      except (AttributeError, TypeError, ValueError):
          is_prerelease = True
      patch = int(patch)
      if c_p != patch:
          return c_p > patch
      if is_prerelease:
          return False
      return True
  
imports: from __future__ import annotations
  import enum
  import functools
  import os
  import pdb
  import re
  import sys
  import warnings
  from collections.abc import Callable, Collection, Hashable, Mapping
  from functools import partial, wraps
  from importlib import import_module
  from pkgutil import walk_packages
  from pydoc import locate
  from re import match
  from types import FunctionType, ModuleType
  from typing import Any, Iterable, cast
  import torch
label_desc: Use image node_id 16 for calling a global function with example usage: pytorch_after(major, minor, patch, current_ver_string) and returns: True, unknown, unknown, False, unknown