code: def logistic_classifier(inputs):
      return layers.dense(inputs, 1, activation=math_ops.sigmoid)
  
imports: import os
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.layers import layers
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import metrics
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops.losses import losses
  from tensorflow.python.platform import test
  from tensorflow.python.training import basic_session_run_hooks
  from tensorflow.python.training import evaluation
  from tensorflow.python.training import gradient_descent
  from tensorflow.python.training import monitored_session
  from tensorflow.python.training import saver
  from tensorflow.python.training import training
label_desc: Use image node_id 1 for calling a global function with example usage: logistic_classifier(inputs) and returns: layers