code: def _testSerializeManyDeserializeBatchHelper(
      self, serialize_many_fn, deserialize_fn, out_type=dtypes.string
  ):
      with self.cached_session(use_gpu=False) as sess:
          # N == 4 because shape_value == [4, 5]
          indices_value = np.array(
              [[0, 0], [0, 1], [2, 0]], dtype=np.int64
          )
          values_value = np.array([b"a", b"b", b"c"])
          shape_value = np.array([4, 5], dtype=np.int64)
          sparse_tensor = self._SparseTensorPlaceholder(
              dtype=dtypes.string
          )
          serialized = serialize_many_fn(
              sparse_tensor, out_type=out_type
          )
          deserialized = deserialize_fn(serialized, dtype=dtypes.string)
          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 25 for calling the SerializeSparseTest obj's underlying member method code with example usage: obj._testSerializeManyDeserializeBatchHelper(serialize_many_fn, deserialize_fn, out_type) without return types