code: def _default_activities(self) -> List["ProfilerActivity"]:
      activities: List["ProfilerActivity"] = []
      if not _KINETO_AVAILABLE:
          return activities
      if self._profiler_kwargs.get("use_cpu", True):
          activities.append(ProfilerActivity.CPU)
      if self._profiler_kwargs.get("use_cuda", is_cuda_available()):
          activities.append(ProfilerActivity.CUDA)
      return activities
  
imports: import inspect
  import logging
  import os
  from functools import lru_cache, partial
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Callable, ContextManager, Dict, List, Optional, Type, Union
  import torch
  from torch import Tensor, nn
  from torch.autograd.profiler import EventList, record_function
  from torch.profiler import ProfilerAction, ProfilerActivity, tensorboard_trace_handler
  from torch.utils.hooks import RemovableHandle
  from typing_extensions import override
  from lightning.fabric.accelerators.cuda import is_cuda_available
  from lightning.pytorch.profilers.profiler import Profiler
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.rank_zero import WarningCache, rank_zero_warn
label_desc: Use image node_id 6 for calling the PyTorchProfiler obj's underlying member method code with example usage: obj._default_activities() and returns: activities, activities