code: def _testAll(self, np_inputs, np_bias):
      self._testBias(np_inputs, np_bias, use_gpu=False)
      self._testBiasNCHW(np_inputs, np_bias, use_gpu=False)
      if np_inputs.dtype in [
          np.float16,
          np.float32,
          np.float64,
          np.int32,
      ]:
          self._testBias(np_inputs, np_bias, use_gpu=True)
          self._testBiasNCHW(np_inputs, np_bias, use_gpu=True)
  
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 8 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj._testAll(np_inputs, np_bias) without return types