mirror of
https://github.com/ARM-software/workload-automation.git
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78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
# Copyright 2015 ARM Limited
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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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# pylint: disable=attribute-defined-outside-init
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import os
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from wlauto import Workload, Parameter, Executable
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class LinpackCliWorkload(Workload):
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name = 'linpack-cli'
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description = """
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linpack benchmark with a command line interface
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Benchmarks FLOPS (floating point operations per second).
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This is the oldschool version of the bencmark. Source may be viewed here:
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http://www.netlib.org/benchmark/linpackc.new
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"""
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parameters = [
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Parameter('array_size', kind=int, default=200,
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description='size of arrays to be used by the benchmark.'),
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]
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binary = None # set during initialization
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def initialize(self, context):
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host_exe = context.resolver.get(Executable(self, self.device.abi, 'linpack'))
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LinpackCliWorkload.binary = self.device.install(host_exe)
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def setup(self, context):
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self.command = '(echo {}; echo q) | {}'.format(self.array_size, self.binary)
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def run(self, context):
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self.raw_output = self.device.execute(self.command,
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timeout=(self.array_size / 10) ** 2,
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check_exit_code=False)
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def update_result(self, context):
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raw_outfile = os.path.join(context.output_directory, 'linpack-raw.txt')
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with open(raw_outfile, 'w') as wfh:
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wfh.write(self.raw_output)
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context.add_artifact('linpack-raw', raw_outfile, kind='raw')
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marker = '--------------------'
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lines = iter(self.raw_output.split('\n'))
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for line in lines:
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if marker in line:
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break
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for line in lines:
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line = line.strip()
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if not line:
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break
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parts = line.split()
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classifiers = {'reps': int(parts[0])}
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context.add_metric('time', float(parts[1]), 'seconds',
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lower_is_better=True, classifiers=classifiers)
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context.add_metric('KFLOPS', float(parts[5]), 'KFLOPS',
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lower_is_better=True, classifiers=classifiers)
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def finalize(self, context):
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self.device.uninstall(self.binary)
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