code: def __init__(self):
      super().__init__()
  
      self.branch0 = BasicConv2d(256, 384, kernel_size=3, stride=2)
  
      self.branch1 = nn.Sequential(
          BasicConv2d(256, 192, kernel_size=1, stride=1),
          BasicConv2d(192, 192, kernel_size=3, stride=1, padding=1),
          BasicConv2d(192, 256, kernel_size=3, stride=2),
      )
  
      self.branch2 = nn.MaxPool2d(3, stride=2)
  
imports: import os
  import requests
  from requests.adapters import HTTPAdapter
  import torch
  from torch import nn
  from torch.nn import functional
  from .utils.download import download_url_to_file
label_desc: Use image node_id 1 to create a new Mixed_6a object from inherited base classes: nn with example: obj = Mixed_6a()