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workload-automation/wlauto/workloads/linpack_cli/__init__.py

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