38 lines
1.6 KiB
Python
38 lines
1.6 KiB
Python
# Copyright 2017 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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r"""Benchmark base to run and report benchmark results."""
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from __future__ import absolute_import as _absolute_import
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from __future__ import division as _division
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from __future__ import print_function as _print_function
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from tensorflow.python.eager import test
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class MicroBenchmarksBase(test.Benchmark):
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"""Run and report benchmark results."""
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def run_report(self, run_benchmark, func, num_iters, execution_mode=None):
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"""Run and report benchmark results."""
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total_time = run_benchmark(func, num_iters, execution_mode)
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mean_us = total_time * 1e6 / num_iters
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extras = {
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"examples_per_sec": float("{0:.3f}".format(num_iters / total_time)),
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"us_per_example": float("{0:.3f}".format(total_time * 1e6 / num_iters))
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}
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benchmark_name = self._get_benchmark_name()
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self.report_benchmark(
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iters=num_iters, wall_time=mean_us, extras=extras, name=benchmark_name)
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