code: def stemB(x):
      """Stem for Inception-ResNet-v1 (Fig. 14 in the v4 paper)"""
      x = conv(x, 32, 3, stride=2, padding="VALID", scope="block1a")
  
      x = conv(x, 32, 3, padding="VALID", scope="block2a")
      x = conv(x, 64, 3, scope="block2b")
  
      x = max_pool2d(
          x, 3, stride=2, padding="VALID", scope="block3a/pool"
      )
      x = conv(x, 80, 1, padding="VALID", scope="block3a/conv")
  
      x = conv(x, 192, 3, padding="VALID", scope="block4a")
      x = max_pool2d(x, 3, stride=2, padding="VALID", scope="block5a")
  
      x = conv(x, 256, 3, stride=2, padding="VALID", scope="block5b")
      return x
  
imports: from __future__ import absolute_import
  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 convrelu0
  from .layers import convbnrelu
  from .ops import *
  from .utils import pad_info
  from .utils import set_args
  from .utils import var_scope
label_desc: Use image node_id 11 for calling a global function with example usage: stemB(x) and returns: x