code: def vgg19_bn(
      *,
      weights: Optional[VGG19_BN_Weights] = None,
      progress: bool = True,
      **kwargs: Any,
  ) -> VGG:
      """VGG-19_BN from `Very Deep Convolutional Networks for Large-Scale Image Recognition <https://arxiv.org/abs/1409.1556>`__.
  
      Args:
          weights (:class:`~torchvision.models.VGG19_BN_Weights`, optional): The
              pretrained weights to use. See
              :class:`~torchvision.models.VGG19_BN_Weights` below for
              more details, and possible values. By default, no pre-trained
              weights are used.
          progress (bool, optional): If True, displays a progress bar of the
              download to stderr. Default is True.
          **kwargs: parameters passed to the ``torchvision.models.vgg.VGG``
              base class. Please refer to the `source code
              <https://github.com/pytorch/vision/blob/main/torchvision/models/vgg.py>`_
              for more details about this class.
  
      .. autoclass:: torchvision.models.VGG19_BN_Weights
          :members:
      """
      weights = VGG19_BN_Weights.verify(weights)
  
      return _vgg("E", True, weights, progress, **kwargs)
  
imports: from functools import partial
  from typing import Any, cast, Dict, List, Optional, Union
  import torch
  import torch.nn
  from ..transforms._presets import ImageClassification
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 10 for calling a global function with example usage: vgg19_bn() and returns: _vgg