code: def _log_api_usage_once(obj: Any) -> None:
      """
      Logs API usage(module and name) within an organization.
      In a large ecosystem, it's often useful to track the PyTorch and
      TorchVision APIs usage. This API provides the similar functionality to the
      logging module in the Python stdlib. It can be used for debugging purpose
      to log which methods are used and by default it is inactive, unless the user
      manually subscribes a logger via the `SetAPIUsageLogger method <https://github.com/pytorch/pytorch/blob/eb3b9fe719b21fae13c7a7cf3253f970290a573e/c10/util/Logging.cpp#L114>`_.
      Please note it is triggered only once for the same API call within a process.
      It does not collect any data from open-source users since it is no-op by default.
      For more information, please refer to
      * PyTorch note: https://pytorch.org/docs/stable/notes/large_scale_deployments.html#api-usage-logging;
      * Logging policy: https://github.com/pytorch/vision/issues/5052;
  
      Args:
          obj (class instance or method): an object to extract info from.
      """
      module = obj.__module__
      if not module.startswith("torchvision"):
          module = f"torchvision.internal.{module}"
      name = obj.__class__.__name__
      if isinstance(obj, FunctionType):
          name = obj.__name__
      torch._C._log_api_usage_once(f"{module}.{name}")
  
imports: import collections
  import math
  import pathlib
  import warnings
  from itertools import repeat
  from types import FunctionType
  from typing import Any, BinaryIO, List, Optional, Tuple, Union
  import numpy
  import torch
  from PIL import Image, ImageColor, ImageDraw, ImageFont
label_desc: Use image node_id 11 for calling a global function with example usage: _log_api_usage_once(obj) without return types