# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Benchmarks for `tf.data.Dataset.prefetch()`."""
from tensorflow.python.data.benchmarks import benchmark_base
from tensorflow.python.data.ops import dataset_ops


class PrefetchBenchmark(benchmark_base.DatasetBenchmarkBase):
  """Benchmarks for `tf.data.Dataset.prefetch()`."""

  def benchmark_prefetch(self):
    num_elements = 1000000
    for prefetch_buffer in [1, 5, 10, 20, 100]:
      dataset = dataset_ops.Dataset.range(num_elements)
      dataset = dataset.prefetch(prefetch_buffer)

      self.run_and_report_benchmark(
          dataset,
          num_elements=num_elements,
          extras={
              "model_name": "prefetch.benchmark.1",
              "parameters": "%d" % prefetch_buffer,
          },
          name="prefetch_{}".format(prefetch_buffer))


if __name__ == "__main__":
  benchmark_base.test.main()