docstr: Test that the op can reduce a stacked list of multi-dim tensors.
docstr_tok: ["Test","that","the","op","can","reduce","a","stacked","list","of","multi-dim","tensors","."]
code: def test_feature_bitmask_multiple_tensors_multi_dim_stack(self):
      """Test that the op can reduce a stacked list of multi-dim tensors."""
      data_1 = constant_op.constant([[True, False], [False, True]])
      data_2 = constant_op.constant([[False, True], [True, True]])
      stack_data = array_ops_stack.stack([data_1, data_2], -1)
  
      expected_result = constant_op.constant([[2, 1], [1, 3]])
      result = create_feature_bitmask_op.create_feature_bitmask(
          stack_data
      )
      self.assertAllEqual(expected_result, result)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.platform import test
  from tensorflow_text.python.ops import create_feature_bitmask_op
label_desc: Use image node_id 7 for calling the CreateFeatureBitmaskOpTest obj's underlying member method code with example usage: obj.test_feature_bitmask_multiple_tensors_multi_dim_stack() without return types