code: def testDynamicNonVectorIndices(self):
      with self.cached_session() as sess:
          q = data_flow_ops.SparseConditionalAccumulator(
              dtypes_lib.float32,
              name="Q",
              shape=tensor_shape.TensorShape([3, 3]),
          )
  
          x_indices = array_ops.placeholder(dtypes_lib.int64)
          x_values = array_ops.placeholder(dtypes_lib.float32)
  
          accum_op = q.apply_grad(
              grad_indices=x_indices, grad_values=x_values
          )
  
          with self.assertRaisesRegex(
              errors_impl.InvalidArgumentError,
              "Input indices should be vector but received shape:",
          ):
              sess.run(
                  accum_op,
                  feed_dict={
                      x_indices: [[0, 1], [1, 0]],
                      x_values: np.array([1, 2]).astype(np.float32),
                  },
              )
  
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 24 for calling the IndexedSlicesConditionalAccumulatorTest obj's underlying member method code with example usage: obj.testDynamicNonVectorIndices() without return types