code: def _testBias(self, np_inputs, np_bias, use_gpu=False):
      np_val = self._npBias(np_inputs, np_bias)
      with self.cached_session(use_gpu=use_gpu):
          tf_val = self.evaluate(nn_ops.bias_add(np_inputs, np_bias))
      self.assertAllCloseAccordingToType(np_val, tf_val)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj._testBias(np_inputs, np_bias, use_gpu) without return types