code: def testSparseToDenseGradient(self):
      def f(sparse_values, default_value):
          st = sparse_tensor.SparseTensor(
              indices=[[0, 3, 6], [1, 4, 7], [2, 5, 8]],
              values=sparse_values,
              dense_shape=[3, 6, 9],
          )
          return sparse_ops.sparse_tensor_to_dense(st, default_value)
  
      grads = gradient_checker.compute_gradient(
          f,
          [
              constant_op.constant([1.0, 2.0, 3.0]),
              constant_op.constant(0.0),
          ],
      )
      epsilon = 1e-4
      self.assertLess(gradient_checker.max_error(*grads), epsilon)
  
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 6 for calling the SparseOpsTest obj's underlying member method code with example usage: obj.testSparseToDenseGradient() and returns: sparse_ops