code: def _hard_sigmoid(x, name=None):
      return tf.divide(tf.nn.relu6(x + 3.0), 6.0, name=name)
  
file_path: tensornets/tensornets/ops.py
imports: from __future__ import absolute_import
  import os
  import tensorflow
  from .utils import ops_to_outputs
  from .version_utils import tf_later_than
label_desc: Use image node_id 1 for calling a global function with example usage: _hard_sigmoid(x, name) and returns: tf