6166444602
This CL adds a benchmark to test the performance of the prefetch dataset transformation. PiperOrigin-RevId: 316605096 Change-Id: Iaf5d8f8c3afba6e51a53805afe5bc978916ff01e
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Benchmarks for `tf.data.Dataset.prefetch()`."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.data.benchmarks import benchmark_base
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from tensorflow.python.data.ops import dataset_ops
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class PrefetchBenchmark(benchmark_base.DatasetBenchmarkBase):
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"""Benchmarks for `tf.data.Dataset.prefetch()`."""
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def benchmark_prefetch(self):
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num_elements = 1000000
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for prefetch_buffer in [1, 5, 10, 20, 100]:
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dataset = dataset_ops.Dataset.range(num_elements)
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dataset = dataset.prefetch(prefetch_buffer)
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self.run_and_report_benchmark(
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dataset,
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num_elements=num_elements,
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name="prefetch_{}".format(prefetch_buffer))
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if __name__ == "__main__":
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benchmark_base.test.main()
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