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https://github.com/ARM-software/workload-automation.git
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82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
# Copyright 2013-2015 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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#
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# pylint: disable=E1101,W0201
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import os
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import re
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from wa import Workload, Parameter, Executable
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THIS_DIR = os.path.dirname(__file__)
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RESULT_REGEX = re.compile('Total time: ([\d.]+) s.*Bandwidth: ([\d.]+) MB/s', re.S)
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class Memcpy(Workload):
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name = 'memcpy'
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description = """
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Runs memcpy in a loop.
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This will run memcpy in a loop for a specified number of times on a buffer
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of a specified size. Additionally, the affinity of the test can be set to
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one or more specific cores.
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This workload is single-threaded. It genrates no scores or metrics by
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itself.
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"""
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parameters = [
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Parameter('buffer_size', kind=int, default=1024 * 1024 * 5,
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description='''
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Specifies the size, in bytes, of the buffer to be copied.
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'''),
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Parameter('iterations', kind=int, default=1000,
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description='''
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Specfies the number of iterations that will be performed.
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'''),
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Parameter('cpus', kind=list,
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description='''
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A list of integers specifying ordinals of cores to which the
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affinity of the test process should be set. If not specified,
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all avaiable cores will be used.
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'''),
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]
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def initialize(self, context):
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self.binary_name = 'memcpy'
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resource = Executable(self, self.target.abi, self.binary_name)
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host_binary = context.resolver.get(resource)
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Memcpy.target_exe = self.target.install_if_needed(host_binary)
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def setup(self, context):
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self.command = '{} -i {} -s {}'.format(self.target_exe, self.iterations, self.buffer_size)
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for c in (self.cpus or []):
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self.command += ' -c {}'.format(c)
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self.result = None
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def run(self, context):
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self.result = self.target.execute(self.command, timeout=300)
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def extract_results(self, context):
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if self.result:
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match = RESULT_REGEX.search(self.result)
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context.add_metric('time', float(match.group(1)), 'seconds', lower_is_better=True)
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context.add_metric('bandwidth', float(match.group(2)), 'MB/s')
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