class_docstr: AuxiliaryNet to predict pose angles. 
code: def __init__(self):
      super(AuxiliaryNet, self).__init__()
      self.conv1 = conv_bn(INIT_CH, 64, 3, 2)
      self.conv2 = conv_bn(64, 64, 3, 1)
      self.conv3 = conv_bn(64, 32, 3, 2)
      self.conv4 = conv_bn(32, 64, 7, 1)
      self.max_pool1 = nn.MaxPool2d(3)
      self.fc1 = nn.Linear(64, 32)
      self.fc2 = nn.Linear(32, 3)
  
file_path: nni/examples/nas/legacy/oneshot/pfld/lib/subnet.py
imports: from __future__ import absolute_import, division, print_function
  import torch
  import torch.nn
  from lib.ops import MBBlock, SeparableConv, SingleOperation, StemBlock, conv_bn
  from torch.nn import init
label_desc: Use image node_id 1 to create a new AuxiliaryNet object from inherited base classes: nn with example: obj = AuxiliaryNet()