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e4283729c1
On some devices the score string obtained can contain extra characters. Only use the numerical values from the score when converting, otherwise if not found set the result to 'NaN'.
73 lines
3.1 KiB
Python
Executable File
73 lines
3.1 KiB
Python
Executable File
# Copyright 2014-2016 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 re
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from wa import ApkUiautoWorkload, WorkloadError, Parameter
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class Gfxbench(ApkUiautoWorkload):
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name = 'gfxbench-corporate'
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package_names = ['net.kishonti.gfxbench.gl.v50000.corporate']
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clear_data_on_reset = False
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regex_matches = [re.compile(r'Car Chase score (.+)'),
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re.compile(r'Car Chase Offscreen score (.+)'),
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re.compile(r'Manhattan 3.1 score (.+)'),
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re.compile(r'1080p Manhattan 3.1 Offscreen score (.+)'),
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re.compile(r'1440p Manhattan 3.1 Offscreen score (.+)'),
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re.compile(r'Tessellation score (.+)'),
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re.compile(r'Tessellation Offscreen score (.+)')]
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score_regex = re.compile(r'.*?([\d.]+).*')
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description = '''
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Execute a subset of graphical performance benchmarks
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Test description:
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1. Open the gfxbench application
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2. Execute Car Chase, Manhattan and Tessellation benchmarks
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'''
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parameters = [
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Parameter('timeout', kind=int, default=3600,
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description=('Timeout for a single iteration of the benchmark. This value is '
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'multiplied by ``times`` to calculate the overall run timeout. ')),
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]
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def __init__(self, target, **kwargs):
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super(Gfxbench, self).__init__(target, **kwargs)
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self.gui.timeout = self.timeout
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def update_output(self, context):
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super(Gfxbench, self).update_output(context)
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expected_results = len(self.regex_matches)
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logcat_file = context.get_artifact_path('logcat')
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with open(logcat_file) as fh:
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for line in fh:
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for regex in self.regex_matches:
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match = regex.search(line)
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# Check if we have matched the score string in logcat
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if match:
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score_match = self.score_regex.search(match.group(1))
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# Check if there is valid number found for the score.
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if score_match:
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result = float(score_match.group(1))
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else:
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result = 'NaN'
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entry = regex.pattern.rsplit(None, 1)[0]
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context.add_metric(entry, result, 'FPS', lower_is_better=False)
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expected_results -= 1
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if expected_results > 0:
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msg = "The GFXBench workload has failed. Expected {} scores, Detected {} scores."
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raise WorkloadError(msg.format(len(self.regex_matches), expected_results))
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