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951eec991c
Add a workload for the Dr Arm demo app. Includes functionality for automatically pulling the ADPF FPS report file from the target if one was generated by the app. Signed-off-by: Kajetan Puchalski <kajetan.puchalski@arm.com>
112 lines
4.6 KiB
Python
112 lines
4.6 KiB
Python
# Copyright 2023 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 pandas as pd
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from wa import ApkWorkload, Parameter
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from devlib.exception import TargetStableCalledProcessError
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class DrArm(ApkWorkload):
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name = 'drarm'
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package_names = ['com.Arm.DrArm']
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activity = 'com.unity3d.player.UnityPlayerActivity'
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install_timeout = 200
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description = """
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Dr. Arm’s Amazing Adventures is a “Souls-Like” Mobile Action Role Playing Game developed at Arm.
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"""
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parameters = [
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Parameter('timeout', kind=int, default=126,
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description='The amount of time the game should run for'),
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Parameter('auto_demo', kind=bool, default=False,
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description='Start the demo automatically'),
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Parameter('show_fps', kind=bool, default=False,
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description='Show the FPS count window in-game'),
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Parameter('adpf', kind=bool, default=True,
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description='Enable ADPF'),
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Parameter('adpf_auto', kind=bool, default=True,
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description='Enable automatic ADPF mode'),
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Parameter('adpf_logging', kind=bool, default=False,
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description='Enable ADPF logging'),
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Parameter('verbose_log', kind=bool, default=False,
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description='Emit reported stats as debug logs'),
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Parameter('adpf_interventions', kind=bool, default=True,
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description='Enable ADPF interventions'),
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Parameter('target_vsyncs', kind=int, default=1,
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description='the number of vsyncs to target to a frame (1 = current display rate)'),
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Parameter('target_framerate', kind=int, default=None,
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description='Target framerate for the application'),
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Parameter('fps_report_file', kind=str, default=None,
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description='File name that the ADPF FPS report should use.'),
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Parameter('fixed_time_step', kind=float, default=None,
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description='Time, in seconds, that should be used in advancing the simulation'),
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]
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@property
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def apk_arguments(self):
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args = {
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'showFPS': int(self.show_fps),
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'doAdpf': int(self.adpf),
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'adpfMode': int(self.adpf_auto),
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'adpfLogging': int(self.adpf_logging),
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'verboseLog': int(self.verbose_log),
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'adpfInterventions': int(self.adpf_interventions),
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'targetVsyncs': self.target_vsyncs,
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'autoDemo': int(self.auto_demo),
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}
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if self.target_framerate is not None:
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args['targetFramerate'] = self.target_framerate
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if self.fixed_time_step is not None:
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args['fixedTimeStep'] = self.fixed_time_step
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if self.fps_report_file is not None:
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args['fpsReportFileName'] = self.fps_report_file
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return args
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def run(self, context):
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self.target.sleep(self.timeout)
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def update_output(self, context):
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super(DrArm, self).update_output(context)
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outfile_glob = self.target.path.join(
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self.target.external_storage_app_dir, self.apk.package, 'files', '*.csv'
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)
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try:
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ls_output = self.target.execute('ls {}'.format(outfile_glob))
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except TargetStableCalledProcessError:
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self.logger.warning('Failed to find the ADPF report file.')
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return
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on_target_output_files = [f.strip() for f in ls_output.split('\n') if f]
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self.logger.info('Extracting the ADPF FPS report from target...')
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for file in on_target_output_files:
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host_output_file = os.path.join(context.output_directory, os.path.basename(file))
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self.target.pull(file, host_output_file)
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context.add_artifact('adpf', host_output_file, kind='data',
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description='ADPF report log in CSV format.')
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adpf_df = pd.read_csv(host_output_file)
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if not adpf_df.empty:
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context.add_metric('Average FPS', round(adpf_df['average fps'].mean(), 2))
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context.add_metric('Frame count', int(adpf_df['# frame count'].iloc[-1]))
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