code: def _AtLeast3d(self, np_value):
      # fill the input value to at least 3-dimension
      if np_value.ndim < 3:
          return np.reshape(
              np_value, (1,) * (3 - np_value.ndim) + np_value.shape
          )
      return np_value
  
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 4 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj._AtLeast3d(np_value) and returns: np_value, np