Open NEELAKANTAPPA-M opened 1 week ago
Hi,
Yes you should be able to compile the binaries from the respective projects [1] and [2] and place the resultant binary files in your dependencies directory [3] for WA to discover without any code changes.
For the deepbench workload we do have some reference binaries available in our assets repository [4] that can be downloaded, or WA can be configured to try and retrieve these files automatically by setting the remote_assets_url: https://raw.githubusercontent.com/ARM-software/workload-automation-assets/master/dependencies
parameter in your agenda or config file [5].
For the meabo workload, this binary would need to be compiled for your target device and placed in $WA_USER_DIRECTORY/dependencies/<workload>
typically ~/.workload_automation/dependencies/meabo/
.
Please let me know if you have any further questions.
[1] https://github.com/baidu-research/DeepBench?tab=readme-ov-file#arm-benchmarks [2] https://github.com/ARM-software/meabo [3] https://workload-automation.readthedocs.io/en/latest/user_information.html#optional-post-installation [4] https://github.com/ARM-software/workload-automation-assets/tree/master/dependencies/deepbench [5] https://workload-automation.readthedocs.io/en/latest/faq.html?highlight=remote_assets_url#q-i-receive-the-error-workload-file-file-name-file-could-not-be-found
Hi Marc Bonnici,
Thanks for the detailed response.
For the deepbench, I had copied the binaries to the dependencies directory. When I execute the workload getting error like below.
ValueError(invalid literal for int() with base 10: 'invalid')
Similar error was observed for dhrystone workload as well.
Common in both the cases is self.target.killall(self.exe_name)
If I comment this line in the workloads/deepbench/__init__.py
, workload works fine.
Any idea/suggestions for this would be appreciated.
It looks like something is going wrong when it is attempting to clean up ay previous invocations of the workload executable.
Would you be able to provide a run.log
to see the exact command that is going wrong?
Also do you know which versions of WA / devlib you are using / are you using the last release or are you using the latest master branch on github?
We are running above two workloads for a linux target. And we are getting binary not found error for these two workloads. Also when I checked source code of WA, I didn't find any binary in wa/workloads/deepbench or wa/workloads/meabo
Need help in this case how to execute these workloads? Should we add binary ourselves? Will that be enough or any further changes in code is needed?