1
0
mirror of https://github.com/ARM-software/workload-automation.git synced 2024-10-06 02:41:11 +01:00
workload-automation/wa/workloads/lmbench/__init__.py
Marc Bonnici 1108c5701e workloads: Update to better utilize cleanup_assets and uninstall
Update the workload classes to attempt and standardize the use of the
`cleanup_assets` parameter and the newly added `uninstall` parameter
2019-06-28 17:54:04 +01:00

165 lines
6.6 KiB
Python
Executable File

# Copyright 2015-2018 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=E1101,W0201
import os
from wa import Workload, Parameter, Executable
from wa.utils.types import list_or_integer, list_or_string
from wa.utils.types import cpu_mask
class Lmbench(Workload):
name = 'lmbench'
# Define supported tests. Each requires a _setup_{name} routine below
test_names = ['lat_mem_rd', 'bw_mem']
description = """
Run a subtest from lmbench, a suite of portable ANSI/C microbenchmarks for
UNIX/POSIX.
In general, lmbench measures two key features: latency and bandwidth. This
workload supports a subset of lmbench tests. lat_mem_rd can be used to
measure latencies to memory (including caches). bw_mem can be used to
measure bandwidth to/from memory over a range of operations.
Further details, and source code are available from:
http://sourceforge.net/projects/lmbench/.
See lmbench/bin/README for license details.
"""
parameters = [
Parameter('test', default='lat_mem_rd', allowed_values=test_names,
description='''
Specifies an lmbench test to run.
'''),
Parameter('stride', kind=list_or_integer, default=[128],
description='''
Stride for lat_mem_rd test. Workload will iterate over one or
more integer values.
'''),
Parameter('thrash', kind=bool, default=True,
description='Sets -t flag for lat_mem_rd_test'),
Parameter('size', kind=list_or_string, default="4m",
description='Data set size for lat_mem_rd bw_mem tests.'),
Parameter('mem_category', kind=list_or_string,
default=('rd', 'wr', 'cp', 'frd', 'fwr', 'fcp', 'bzero', 'bcopy'),
description='List of memory catetories for bw_mem test.'),
Parameter('parallelism', kind=int, default=None,
description='Parallelism flag for tests that accept it.'),
Parameter('warmup', kind=int, default=None,
description='Warmup flag for tests that accept it.'),
Parameter('repetitions', kind=int, default=None,
description='Repetitions flag for tests that accept it.'),
Parameter('force_abi', kind=str, default=None,
description='''
Override device abi with this value. Can be used to force
arm32 on 64-bit devices.
'''),
Parameter('run_timeout', kind=int, default=900,
description="""
Timeout for execution of the test.
"""),
Parameter('loops', kind=int, default=1, constraint=lambda x: x > 0,
description="""
Specifies the number of times the benchmark will be run in a
"tight loop", i.e. without performaing setup/teardown
inbetween. This parameter is distinct from "repetitions", as
the latter takes place within the benchmark and produces a
single result.
"""),
Parameter('cpus', kind=cpu_mask, default=0, aliases=['taskset_mask'],
description="""
Specifies the CPU mask the benchmark process will be pinned to.
"""),
]
def setup(self, context):
abi = self.target.abi
if self.force_abi:
abi = self.force_abi
# self.test has been pre-validated, so this _should_ only fail if there's an abi mismatch
host_exe = context.resolver.get(Executable(self, abi, self.test))
self.target_exe = self.target.install(host_exe)
self.commands = []
setup_test = getattr(self, '_setup_{}'.format(self.test))
setup_test()
def run(self, context):
for _ in range(self.loops):
for command in self.commands:
self.target.execute(command, timeout=self.run_timeout)
def extract_results(self, context):
results_path = self.target.get_workpath("lmbench.output")
result_file = self.target.list_directory(results_path)[-1]
self.result_file = result_file.rstrip()
result = self.target.path.join(results_path, result_file)
self.target.pull(result, context.output_directory)
context.add_artifact('lmbench-result', "lmbench.output", kind='raw')
def teardown(self, context):
if self.uninstall:
self.target.uninstall(self.test)
#
# Test setup routines
#
def _setup_lat_mem_rd(self):
target_file = self.target.get_workpath('lmbench.output')
self.target.execute('rm -f {}'.format(target_file))
command_stub = self._setup_common()
if self.thrash:
command_stub = '{} -t'.format(command_stub)
for size in self.size:
command = '{} {}'.format(command_stub, size)
for stride in self.stride:
self.commands.append('{} {} >> {} 2>&1'.format(command, stride, target_file))
def _setup_bw_mem(self):
target_file = self.target.get_workpath('lmbench.output')
self.target.execute('rm -f {}'.format(target_file))
command_stub = self._setup_common()
for size in self.size:
command = '{} {}'.format(command_stub, size)
for category in self.mem_category:
self.commands.append('{} {} >> {} 2>&1'.format(command, category, target_file))
def _setup_common(self):
parts = []
if self.cpus:
parts.append('{} taskset {} {}'.format(self.target.busybox,
self.cpus.mask(),
self.target_exe))
else:
parts.append(self.target_exe)
if self.parallelism is not None:
parts.append('-P {}'.format(self.parallelism))
if self.warmup is not None:
parts.append('-W {}'.format(self.warmup))
if self.repetitions is not None:
parts.append('-N {}'.format(self.repetitions))
return ' '.join(parts) + ' '