code: def __call__(self, inputs):
      if not self._v:
          for _ in range(self._num_vars):
              self._v.append(
                  variables.Variable(
                      random_ops.random_uniform([]), shape=[]
                  )
              )
      for v in self._v:
          inputs = inputs * v
      return inputs
  
imports: import gc
  import time
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import remote
  from tensorflow.python.eager import test
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 2 for calling the Foo obj's underlying member method code with example usage: obj.__call__(inputs) and returns: inputs