code: def testVariantSerializeDeserializeScalar(self):
      with self.session(use_gpu=False) as sess:
          indices_value = np.array([[]], dtype=np.int64)
          values_value = np.array([37], dtype=np.int32)
          shape_value = np.array([], dtype=np.int64)
          sparse_tensor = self._SparseTensorPlaceholder()
          serialized = sparse_ops.serialize_sparse(
              sparse_tensor, out_type=dtypes.variant
          )
          deserialized = sparse_ops.deserialize_sparse(
              serialized, dtype=dtypes.int32
          )
          deserialized_value = sess.run(
              deserialized,
              feed_dict={
                  sparse_tensor.indices: indices_value,
                  sparse_tensor.values: values_value,
                  sparse_tensor.dense_shape: shape_value,
              },
          )
          self.assertAllEqual(deserialized_value.indices, indices_value)
          self.assertAllEqual(deserialized_value.values, values_value)
          self.assertAllEqual(
              deserialized_value.dense_shape, shape_value
          )
  
imports: import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_resource_variable_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 29 for calling the SerializeSparseTest obj's underlying member method code with example usage: obj.testVariantSerializeDeserializeScalar() without return types