code: def test_batched_operator_0_bsz(self) -> None:
      inp1 = torch.tensor([[0, 1, 2], [3, 4, 5], [6, 7, 8]])
      with self.assertRaises(AssertionError):
          _batched_operator(
              lambda x: x, inputs=inp1, internal_batch_size=0
          )
  
file_path: captum/tests/attr/test_utils_batching.py
imports: import torch
  from captum.attr._utils.batching import _batched_generator, _batched_operator, _tuple_splice_range
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
label_desc: Use image node_id 4 for calling the Test obj's underlying member method code with example usage: obj.test_batched_operator_0_bsz() without return types