code: def nasnetAmobile(
      x,
      is_training=False,
      classes=1000,
      stem=False,
      scope=None,
      reuse=None,
  ):
      return nasnet(
          x,
          32,
          4,
          44,
          False,
          True,
          2,
          is_training,
          classes,
          stem,
          scope,
          reuse,
      )
  
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 5 for calling a global function with example usage: nasnetAmobile(x, is_training, classes, stem, scope, reuse) and returns: nasnet