code: def testNonVectorIndices(self):
      with self.cached_session():
          q = data_flow_ops.SparseConditionalAccumulator(
              dtypes_lib.float32,
              name="Q",
              shape=tensor_shape.TensorShape([3, 3]),
          )
  
          with self.assertRaisesRegex(
              errors_impl.InvalidArgumentError,
              "Input indices should be vector but received shape:",
          ):
              q.apply_grad(
                  grad_indices=[[0, 1], [1, 0]],
                  grad_values=np.array([1, 2]).astype(np.float32),
              ).run()
  
imports: import time
  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 indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 21 for calling the IndexedSlicesConditionalAccumulatorTest obj's underlying member method code with example usage: obj.testNonVectorIndices() without return types