def benchmark_parallel_interleave_v1(self):
    'Benchmark for parallel interleave that does not support autotuning.'

    def dataset_fn():
        return dataset_ops.Dataset.range(1).repeat().apply(interleave_ops.parallel_interleave(_make_fake_dataset_fn(), cycle_length=10))
    self._benchmark(dataset_fn=dataset_fn, iters=100, num_elements=1000)
Benchmark for parallel interleave that does not support autotuning.
def benchmark_parallel_interleave_v1(self):
    

    def dataset_fn():
        return dataset_ops.Dataset.range(1).repeat().apply(interleave_ops.parallel_interleave(_make_fake_dataset_fn(), cycle_length=10))
    self._benchmark(dataset_fn=dataset_fn, iters=100, num_elements=1000)