code: def testStateOnGPU(self):
      if not test_util.is_gpu_available():
          self.skipTest("No GPUs available.")
  
      state = constant_op.constant(0, dtype=dtypes.int64)
  
      def reduce_fn(state, value):
          with ops.device("/gpu:0"):
              return state + value
  
      for i in range(10):
          ds = dataset_ops.Dataset.range(1, i + 1)
          result = ds.reduce(state, reduce_fn)
          self.assertEqual(((i + 1) * i) // 2, self.evaluate(result))
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  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_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the ReduceTest obj's underlying member method code with example usage: obj.testStateOnGPU() and returns: unknown