code: def __init__(self, conv_block=ConvNormAct):
      super(Mixed5a, self).__init__()
      self.conv = conv_block(192, 192, kernel_size=3, stride=2)
      self.maxpool = nn.MaxPool2d(3, stride=2)
  
imports: from functools import partial
  import torch
  import torch.nn
  from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import create_classifier, ConvNormAct
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 1 to create a new Mixed5a object from inherited base classes: nn with example: obj = Mixed5a(conv_block)