code: def testSparseFillEmptyRowsGrad(self):
      reverse_index_map = [2, 1]
      grad_values = [0, 1, 2, 3]
      d_values, d_default_value = self.evaluate(
          gen_sparse_ops.SparseFillEmptyRowsGrad(
              reverse_index_map=reverse_index_map,
              grad_values=grad_values,
          )
      )
      self.assertAllEqual([2, 1], d_values)
      self.assertEqual(3, d_default_value)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_grad
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_grad
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the RawOpsTest obj's underlying member method code with example usage: obj.testSparseFillEmptyRowsGrad() without return types