code: def testZeroSizedFilterThrowsIllegalArgument(self):
      tensor_in_sizes = [1, 1, 1, 1, 1]
      x1 = self._CreateNumpyTensor(tensor_in_sizes)
      filter_in = np.ones((1, 1, 0, 1, 1), dtype=np.float32)
      with self.assertRaisesRegex(
          errors_impl.InvalidArgumentError,
          "filter must not have zero elements"
          "|has a non-positive dimension",
      ):
          self.evaluate(
              nn_ops.conv3d(
                  x1, filter_in, strides=[1, 1, 1, 1, 1], padding="SAME"
              )
          )
  
imports: import math
  from absl.testing import parameterized
  import numpy
  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 tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.eager import context
label_desc: Use image node_id 21 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testZeroSizedFilterThrowsIllegalArgument() without return types