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https://github.com/ARM-software/workload-automation.git
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1108c5701e
Update the workload classes to attempt and standardize the use of the `cleanup_assets` parameter and the newly added `uninstall` parameter
165 lines
6.6 KiB
Python
Executable File
165 lines
6.6 KiB
Python
Executable File
# Copyright 2015-2018 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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#
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# pylint: disable=E1101,W0201
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import os
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from wa import Workload, Parameter, Executable
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from wa.utils.types import list_or_integer, list_or_string
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from wa.utils.types import cpu_mask
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class Lmbench(Workload):
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name = 'lmbench'
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# Define supported tests. Each requires a _setup_{name} routine below
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test_names = ['lat_mem_rd', 'bw_mem']
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description = """
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Run a subtest from lmbench, a suite of portable ANSI/C microbenchmarks for
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UNIX/POSIX.
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In general, lmbench measures two key features: latency and bandwidth. This
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workload supports a subset of lmbench tests. lat_mem_rd can be used to
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measure latencies to memory (including caches). bw_mem can be used to
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measure bandwidth to/from memory over a range of operations.
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Further details, and source code are available from:
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http://sourceforge.net/projects/lmbench/.
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See lmbench/bin/README for license details.
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"""
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parameters = [
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Parameter('test', default='lat_mem_rd', allowed_values=test_names,
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description='''
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Specifies an lmbench test to run.
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'''),
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Parameter('stride', kind=list_or_integer, default=[128],
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description='''
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Stride for lat_mem_rd test. Workload will iterate over one or
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more integer values.
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'''),
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Parameter('thrash', kind=bool, default=True,
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description='Sets -t flag for lat_mem_rd_test'),
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Parameter('size', kind=list_or_string, default="4m",
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description='Data set size for lat_mem_rd bw_mem tests.'),
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Parameter('mem_category', kind=list_or_string,
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default=('rd', 'wr', 'cp', 'frd', 'fwr', 'fcp', 'bzero', 'bcopy'),
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description='List of memory catetories for bw_mem test.'),
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Parameter('parallelism', kind=int, default=None,
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description='Parallelism flag for tests that accept it.'),
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Parameter('warmup', kind=int, default=None,
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description='Warmup flag for tests that accept it.'),
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Parameter('repetitions', kind=int, default=None,
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description='Repetitions flag for tests that accept it.'),
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Parameter('force_abi', kind=str, default=None,
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description='''
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Override device abi with this value. Can be used to force
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arm32 on 64-bit devices.
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'''),
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Parameter('run_timeout', kind=int, default=900,
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description="""
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Timeout for execution of the test.
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"""),
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Parameter('loops', kind=int, default=1, constraint=lambda x: x > 0,
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description="""
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Specifies the number of times the benchmark will be run in a
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"tight loop", i.e. without performaing setup/teardown
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inbetween. This parameter is distinct from "repetitions", as
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the latter takes place within the benchmark and produces a
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single result.
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"""),
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Parameter('cpus', kind=cpu_mask, default=0, aliases=['taskset_mask'],
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description="""
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Specifies the CPU mask the benchmark process will be pinned to.
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"""),
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]
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def setup(self, context):
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abi = self.target.abi
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if self.force_abi:
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abi = self.force_abi
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# self.test has been pre-validated, so this _should_ only fail if there's an abi mismatch
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host_exe = context.resolver.get(Executable(self, abi, self.test))
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self.target_exe = self.target.install(host_exe)
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self.commands = []
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setup_test = getattr(self, '_setup_{}'.format(self.test))
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setup_test()
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def run(self, context):
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for _ in range(self.loops):
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for command in self.commands:
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self.target.execute(command, timeout=self.run_timeout)
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def extract_results(self, context):
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results_path = self.target.get_workpath("lmbench.output")
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result_file = self.target.list_directory(results_path)[-1]
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self.result_file = result_file.rstrip()
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result = self.target.path.join(results_path, result_file)
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self.target.pull(result, context.output_directory)
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context.add_artifact('lmbench-result', "lmbench.output", kind='raw')
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def teardown(self, context):
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if self.uninstall:
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self.target.uninstall(self.test)
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#
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# Test setup routines
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#
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def _setup_lat_mem_rd(self):
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target_file = self.target.get_workpath('lmbench.output')
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self.target.execute('rm -f {}'.format(target_file))
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command_stub = self._setup_common()
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if self.thrash:
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command_stub = '{} -t'.format(command_stub)
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for size in self.size:
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command = '{} {}'.format(command_stub, size)
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for stride in self.stride:
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self.commands.append('{} {} >> {} 2>&1'.format(command, stride, target_file))
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def _setup_bw_mem(self):
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target_file = self.target.get_workpath('lmbench.output')
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self.target.execute('rm -f {}'.format(target_file))
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command_stub = self._setup_common()
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for size in self.size:
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command = '{} {}'.format(command_stub, size)
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for category in self.mem_category:
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self.commands.append('{} {} >> {} 2>&1'.format(command, category, target_file))
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def _setup_common(self):
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parts = []
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if self.cpus:
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parts.append('{} taskset {} {}'.format(self.target.busybox,
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self.cpus.mask(),
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self.target_exe))
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else:
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parts.append(self.target_exe)
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if self.parallelism is not None:
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parts.append('-P {}'.format(self.parallelism))
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if self.warmup is not None:
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parts.append('-W {}'.format(self.warmup))
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if self.repetitions is not None:
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parts.append('-N {}'.format(self.repetitions))
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return ' '.join(parts) + ' '
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