code: def _npBias(self, inputs, bias):
      assert len(bias.shape) == 1
      assert inputs.shape[-1] == bias.shape[0]
      return inputs + bias.reshape(
          ([1] * (len(inputs.shape) - 1)) + [bias.shape[0]]
      )
  
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 1 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj._npBias(inputs, bias) and returns: unknown