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I am using oneprof on one HPC+AI application with large number of kernels (~30). When I run:
oneprof -q -o test.txt $APP_EXE
It fails with error:
oneprof/metric_query_collector.h:307: void MetricQueryCollector::ProcessQuery(const ZeQueryInfo&): Assertion `status == ZE_RESULT_SUCCESS' failed
It generates the output files (result.* data,* and test.txt) but the test.txt contains just the application total runtime and provides no information about the individual kernels.
I have tested it one tile, and one GPU. The application does not use MPI, it is a Python based code.
The text was updated successfully, but these errors were encountered:
@mumar-intel sorry for responding in such a delay.
recently there were several fixes in oneprof. Can you please try the collection with the recent oneprof and tell if it still reproduced? thank you.
I am using oneprof on one HPC+AI application with large number of kernels (~30). When I run:
oneprof -q -o test.txt $APP_EXE
It fails with error:
oneprof/metric_query_collector.h:307: void MetricQueryCollector::ProcessQuery(const ZeQueryInfo&): Assertion `status == ZE_RESULT_SUCCESS' failed
It generates the output files (result.* data,* and test.txt) but the test.txt contains just the application total runtime and provides no information about the individual kernels.
I have tested it one tile, and one GPU. The application does not use MPI, it is a Python based code.
The text was updated successfully, but these errors were encountered: