code: def testSparseTensorToDenseString(self):
      sp = sparse_tensor.SparseTensor(
          indices=[[0, 0], [1, 2]],
          values=["a", "b"],
          dense_shape=[2, 3],
      )
      dense = sparse_ops.sparse_tensor_to_dense(sp)
      expected_dense = [[b"a", b"", b""], [b"", b"", b"b"]]
      result_dense = self.evaluate(dense)
      self.assertAllEqual(expected_dense, result_dense)
  
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 7 for calling the SparseOpsTest obj's underlying member method code with example usage: obj.testSparseTensorToDenseString() without return types