Source code for wlauto.workloads.real_linpack

#    Copyright 2013-2015 ARM Limited
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# 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
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#     http://www.apache.org/licenses/LICENSE-2.0
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# 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
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# pylint: disable=E1101,W0201,E0203

import re

from wlauto import AndroidUiAutoBenchmark, Parameter


[docs]class RealLinpack(AndroidUiAutoBenchmark): name = 'real-linpack' description = """ This version of `Linpack <http://en.wikipedia.org/wiki/LINPACK_benchmarks>` was developed by Dave Butcher. RealLinpack tries to find the number of threads that give you the maximum linpack score. RealLinpack runs 20 runs of linpack for each number of threads and calculates the mean and confidence. It stops when the score's confidence interval drops below the current best score interval. That is, when (current_score + confidence) < (best_score - best_score_confidence) """ package = 'com.arm.RealLinpack' activity = '.RealLinpackActivity' parameters = [ Parameter('max_threads', kind=int, default=16, constraint=lambda x: x > 0, description='The maximum number of threads that real linpack will try.'), ] def __init__(self, device, **kwargs): super(RealLinpack, self).__init__(device, **kwargs) self.uiauto_params['max_threads'] = self.max_threads self.run_timeout = 120 + 120 * self.max_threads # a base of 2 minutes plus 2 minutes for each thread
[docs] def update_result(self, context): super(RealLinpack, self).update_result(context) score_regex = re.compile(r'Optimum.*threads:\s*([0-9])+.*score:\s*([0-9]+\.[0-9]+).*MFLOPS') match_found = False with open(self.logcat_log) as logcat_file: for line in logcat_file: match = re.search(score_regex, line) if match: number_of_threads = match.group(1) score = match.group(2) context.result.add_metric('optimal number of threads', number_of_threads, None) context.result.add_metric('score', score, 'MFLOPS') match_found = True break if not match_found: self.logger.warning('Failed To collect results for real linpack')