code: def _get_stddev_inside_bounds_before_using_randn(gpu):
      # The boundary where the randn sampler is used varies between CPU and GPU.
      if gpu:
          return 1.3
      else:
          return 1.7
  
imports: import functools
  import math
  import timeit
  import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 1 for calling a global function with example usage: _get_stddev_inside_bounds_before_using_randn(gpu) and returns: int, int