class_docstr: VGG19 implementation.
docstr: Creates VGG19 instance.
  
  Args:
      pretrained: if True load weights from ImageNet pretrained model.
code: def __init__(self, pretrained=False):
      """Creates VGG19 instance.
  
      Args:
          pretrained: if True load weights from ImageNet pretrained model.
      """
      if not os.path.exists(_VGG19_NPY):
          raise FileNotFoundError(
              "You must download vgg19.npy from %s and save it to %s"
              % (_VGG19_URL, _VGG19_NPY)
          )
      if not os.path.exists(_SYNSET_PATH):
          request.urlretrieve(_SYNSET_URL, _SYNSET_PATH)
      self.data_dict = np.load(
          _VGG19_NPY, encoding="latin1", allow_pickle=True
      ).item()
      self.pretrained = pretrained
      self.ops = self.build()
      super().__init__(self.ops)
  
file_path: objax/objax/zoo/vgg.py
imports: import functools
  import os
  from urllib import request
  import jax.numpy
  import numpy
  import objax
label_desc: Use image node_id 1 to create a new VGG19 object from inherited base classes: objax.nn with example: obj = VGG19(pretrained)