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https://github.com/ARM-software/workload-automation.git
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4abbe7602a
This changeset adds the ability to sleep on the device via a device.sleep() method. This invokes sleep on the target device. This is useful for situations where the passage of time on the target device does not match that of the host, e.g., gem5. This changeset also updates a number of workloads to use this new sleep method.
65 lines
2.0 KiB
Python
65 lines
2.0 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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import os
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import re
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from wlauto import AndroidBenchmark, Parameter
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class Nenamark(AndroidBenchmark):
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name = 'nenamark'
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description = """
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NenaMark is an OpenGL-ES 2.0 graphics performance benchmark for Android
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devices.
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http://nena.se/nenamark_story
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From the website:
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The NenaMark2 benchmark scene averages about 45k triangles, with a span
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between 26k and 68k triangles. It averages 96 batches per frame and contains
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about 15 Mb of texture data (non-packed).
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"""
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package = 'se.nena.nenamark2'
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activity = 'se.nena.nenamark2.NenaMark2'
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parameters = [
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Parameter('duration', kind=int, default=120,
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description="""
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Number of seconds to wait before considering the benchmark
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finished
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"""),
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]
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regex = re.compile('.*NenaMark2.*Score.*?([0-9\.]*)fps')
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def run(self, context):
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self.device.sleep(5) # wait for nenamark menu to show up
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self.device.execute('input keyevent 23')
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self.device.sleep(self.duration)
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def update_result(self, context):
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super(Nenamark, self).update_result(context)
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with open(self.logcat_log) as fh:
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for line in fh:
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match = self.regex.search(line)
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if match:
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score = match.group(1)
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context.result.add_metric('nenamark score', score)
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break
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