code: def sconvbnrelu6(*args, **kwargs):
      scope = kwargs.pop("scope", None)
      with tf.variable_scope(scope):
          return relu6(batch_norm(sconv2d(*args, **kwargs)))
  
imports: from __future__ import absolute_import
  import numpy
  import tensorflow
  from .ops import conv2d_primitive
  from .ops import leaky_relu
  from .ops import relu
  from .ops import relu6
  from .ops import reshape
  from .ops import swish
  from .utils import arg_scope
  from .utils import remove_commons
  from .version_utils import tf_later_than
label_desc: Use image node_id 12 for calling a global function with example usage: sconvbnrelu6() and returns: relu6