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mirror of https://github.com/ARM-software/workload-automation.git synced 2024-10-06 10:51:13 +01:00
workload-automation/wa/workloads/memcpy/__init__.py
Sergei Trofimov 2ff06af632 fw/execution: record resource hashes in metadata
As part of resolving a resource, record its MD5 hash in the output
metadata. In order to enable this, resource resolution is now done via
the context, rather than directly via the ResourceResolver (in order not
to introduce a context dependency in the Gui object, context now
emulates the resolver interface).
2018-05-25 10:21:06 +01:00

89 lines
3.0 KiB
Python

# Copyright 2013-2015 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=E1101,W0201
import os
import re
from wa import Workload, Parameter, Executable
from wa.utils.exec_control import once
from wa.utils.types import cpu_mask
THIS_DIR = os.path.dirname(__file__)
RESULT_REGEX = re.compile('Total time: ([\d.]+) s.*Bandwidth: ([\d.]+) MB/s', re.S)
class Memcpy(Workload):
name = 'memcpy'
description = """
Runs memcpy in a loop.
This will run memcpy in a loop for a specified number of times on a buffer
of a specified size. Additionally, the affinity of the test can be set to
one or more specific cores.
This workload is single-threaded. It generates no scores or metrics by
itself.
"""
parameters = [
Parameter('buffer_size', kind=int, default=1024 * 1024 * 5,
description='''
Specifies the size, in bytes, of the buffer to be copied.
'''),
Parameter('loops', kind=int, default=1000, aliases=['iterations'],
description='''
Specfies the number of iterations that will be performed.
'''),
Parameter('cpus', kind=cpu_mask, default=0,
description='''
The cpus for which the affinity of the test
process should be set, specified as a mask, as a list of
cpus or a sysfs-style string. If not specified, all available
cores will be used.
'''),
]
@once
def initialize(self, context):
self.binary_name = 'memcpy'
resource = Executable(self, self.target.abi, self.binary_name)
host_binary = context.get_resource(resource)
Memcpy.target_exe = self.target.install_if_needed(host_binary)
def setup(self, context):
self.command = '{} -i {} -s {}'.format(Memcpy.target_exe, self.loops, self.buffer_size)
for c in (self.cpus.list()):
self.command += ' -c {}'.format(c)
self.result = None
def run(self, context):
self.result = self.target.execute(self.command, timeout=300)
def extract_results(self, context):
if self.result:
match = RESULT_REGEX.search(self.result)
context.add_metric('time', float(match.group(1)), 'seconds', lower_is_better=True)
context.add_metric('bandwidth', float(match.group(2)), 'MB/s')
@once
def finalize(self, context):
self.target.uninstall('memcpy')