message: [tf.data] Increase the number of `iterator.get_next()` calls to 10000 (from 1000) in `map_and_interleave` autotuning benchmark to decrease variance of the output.
diff: @@ -189,14 +189,14 @@ class AutotuneBenchmark(test.Benchmark):
  with session.Session() as sess:
  for _ in range(5):
  sess.run(get_next)
  - for _ in range(1000):
  + for _ in range(10000):
  start = time.time()
  sess.run(get_next)
  end = time.time()
  deltas.append(end - start)
  self.report_benchmark(
  - iters=1000,
  + iters=10000,
  wall_time=np.median(deltas),
  name="map_and_interleave" + ("_autotune" if autotune else ""))
  return np.median(deltas)
  