code: def __init__(self, num_classes=1001):
      super(InceptionV4, self).__init__()
      # Special attributs
      self.input_space = None
      self.input_size = (299, 299, 3)
      self.mean = None
      self.std = None
      # Modules
      self.features = nn.Sequential(
          BasicConv2d(3, 32, kernel_size=3, stride=2),
          BasicConv2d(32, 32, kernel_size=3, stride=1),
          BasicConv2d(32, 64, kernel_size=3, stride=1, padding=1),
          Mixed_3a(),
          Mixed_4a(),
          Mixed_5a(),
          Inception_A(),
          Inception_A(),
          Inception_A(),
          Inception_A(),
          Reduction_A(),  # Mixed_6a
          Inception_B(),
          Inception_B(),
          Inception_B(),
          Inception_B(),
          Inception_B(),
          Inception_B(),
          Inception_B(),
          Reduction_B(),  # Mixed_7a
          Inception_C(),
          Inception_C(),
          Inception_C(),
      )
      self.avg_pool = nn.AvgPool2d(8, count_include_pad=False)
      self.last_linear = nn.Linear(1536, num_classes)
  
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
  import os
  import sys
label_desc: Use image node_id 1 to create a new InceptionV4 object from inherited base classes: nn with example: obj = InceptionV4(num_classes)