code: def aux(x, classes, scope=None):
      x = relu(x, name="relu1")
      x = avg_pool2d(x, 5, stride=3, padding="VALID", scope="pool")
      x = conv(x, 128, 1, scope="proj")
      x = relu(x, name="relu2")
      x = conv(x, 768, int(x.shape[1]), padding="VALID", scope="conv")
      x = relu(x, name="relu3")
      x = squeeze(x, [1, 2], name="squeeze")
      x = fc(x, classes, scope="logits")
      x = softmax(x, name="probs")
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  import tensorflow
  from .layers import avg_pool2d
  from .layers import batch_norm
  from .layers import conv2d
  from .layers import dropout
  from .layers import fc
  from .layers import max_pool2d
  from .layers import sconv2d
  from .layers import convbn
  from .layers import sconvbn
  from .ops import *
  from .utils import pad_info
  from .utils import set_args
  from .utils import var_scope
label_desc: Use image node_id 13 for calling a global function with example usage: aux(x, classes, scope) and returns: x