code: def get_picklable_work(work: LightningWork) -> LightningWork:
      """Pickling a LightningWork instance fails if done from the work process
      itself. This function is safe to call from the work process within both MultiprocessRuntime
      and Cloud.
      Note: This function modifies the module information of the work object. Specifically, it injects
      the relative module path into the __module__ attribute of the work object. If the object is not
      importable from the CWD, then the pickle load will fail.
  
      Example:
          for a directory structure like below and the work class is defined in the app.py where
          the app.py is the entrypoint for the app, it will inject `foo.bar.app` into the
          __module__ attribute
  
          └── foo
              ├── __init__.py
              └── bar
                  └── app.py
      """
      # If the work object not taken from the app ref, there is a thread lock reference
      # somewhere thats preventing it from being pickled. Investigate it later. We
      # shouldn't be fetching the work object from the app ref. TODO @sherin
      app_ref = _LightningAppRef.get_current()
      if app_ref is None:
          raise RuntimeError(
              "Cannot pickle LightningWork outside of a LightningApp"
          )
      for w in app_ref.works:
          if work.name == w.name:
              # deep-copying the work object to avoid modifying the original work object
              with _trimmed_work(
                  w, to_trim=NON_PICKLABLE_WORK_ATTRIBUTES
              ):
                  copied_work = deepcopy(w)
              break
      else:
          raise ValueError(
              f"Work with name {work.name} not found in the app references"
          )
  
      # if work is defined in the __main__ or __mp__main__ (the entrypoint file for `lightning run app` command),
      # pickling/unpickling will fail, hence we need patch the module information
      if "_main__" in copied_work.__class__.__module__:
          work_class_module = sys.modules[
              copied_work.__class__.__module__
          ]
          work_class_file = work_class_module.__file__
          if not work_class_file:
              raise ValueError(
                  f"Cannot pickle work class {copied_work.__class__.__name__} because we "
                  f"couldn't identify the module file"
              )
          relative_path = Path(work_class_module.__file__).relative_to(Path.cwd())  # type: ignore
          expected_module_name = (
              relative_path.as_posix()
              .replace(".py", "")
              .replace("/", ".")
          )
          # TODO @sherin: also check if the module is importable from the CWD
          fake_module = types.ModuleType(expected_module_name)
          fake_module.__dict__.update(work_class_module.__dict__)
          fake_module.__dict__["__name__"] = expected_module_name
          sys.modules[expected_module_name] = fake_module
          for k, v in fake_module.__dict__.items():
              if (
                  not k.startswith("__")
                  and hasattr(v, "__module__")
                  and "_main__" in v.__module__
              ):
                  v.__module__ = expected_module_name
      return copied_work
  
file_path: pytorch-lightning/src/lightning/app/utilities/safe_pickle.py
imports: import contextlib
  import pickle
  import sys
  import types
  import typing
  from copy import deepcopy
  from pathlib import Path
  from lightning.app.core.work import LightningWork
  from lightning.app.utilities.app_helpers import _LightningAppRef
label_desc: Use image node_id 2 for calling a global function with example usage: get_picklable_work(work) and returns: copied_work