code: def testEmpty(self):
      np.random.seed(7)
      for shape in (
          (0, 0),
          (2, 0),
          (0, 2),
          (4, 3, 0),
          (4, 0, 3),
          (0, 4, 3),
      ):
          self._testAll(
              np.random.randn(*shape), np.random.randn(shape[-1])
          )
  
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 25 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj.testEmpty() without return types