code: def testAvgPool3dGradEmptyInput(self):
      for data_format, use_gpu in GetTestConfigs():
          with self.cached_session(use_gpu=use_gpu):
              orig_input_shape = constant_op.constant(
                  [5, 6, 7, 0, 8], dtype=dtypes.int32
              )
              grad = constant_op.constant(
                  1, shape=[5, 6, 7, 0, 8], dtype=dtypes.float32
              )
              t = gen_nn_ops.AvgPool3DGrad(
                  orig_input_shape=orig_input_shape,
                  grad=grad,
                  ksize=[1, 1, 1, 1, 1],
                  strides=[1, 1, 1, 1, 1],
                  padding="SAME",
                  data_format=data_format,
              )
              self.evaluate(t)
  
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
  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 gen_nn_ops
  from tensorflow.python.ops import gradient_checker_v2
  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 7 for calling the PoolingTest obj's underlying member method code with example usage: obj.testAvgPool3dGradEmptyInput() without return types