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Let learned resource estimates replace dynamic sampling in anchorMC #2439

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Let learned resource estimates replace dynamic sampling in anchorMC #2439

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11 changes: 10 additions & 1 deletion MC/run/ANCHOR/anchorMC.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -59,6 +59,8 @@ print_help()
echo "ALIEN_JDL_RUN_TIME_SPAN_FILE=FILE, use a run-time-span file to exclude bad data-taking periods"
echo "ALIEN_JDL_INVERT_IRFRAME_SELECTION, invertes the choice of ALIEN_JDL_RUN_TIME_SPAN_FILE"
echo "ALIEN_JDL_CCDB_CONDITION_NOT_AFTER, sets the condition_not_after timestamp for CCDB queries"
echo "ALIEN_O2DPG_FILEGRAPH=FILE, delete intermediate files early, using a FileIOGraph report"
echo "ALIEN_O2DPG_RESOURCES=FILE, use resource estimates learned by a pilot run instead of sampling them"
echo "DISABLE_QC, set this to disable QC, e.g. to 1"
echo "CYCLE, to set a cycle number different than 0"
echo "NSIGEVENTS, to enforce a specific upper limit of events in a timeframe (not counting orbit-early) events"
Expand Down Expand Up @@ -430,8 +432,15 @@ else
fi
echo_info "Workflow will run with target specification ${targetString}"

# resource estimates learned by a pilot run (o2dpg_sim_metrics.py json-stat)
# replace the runtime sampling; without them we sample dynamically as before
RESOURCE_ARGS="--dynamic-resources"
if [ -n "${ALIEN_O2DPG_RESOURCES}" ]; then
RESOURCE_ARGS="--update-resources ${ALIEN_O2DPG_RESOURCES}"
fi

${O2DPG_ROOT}/MC/bin/o2_dpg_workflow_runner.py -f workflow.json -tt ${targetString} \
--cpu-limit ${ALIEN_JDL_CPULIMIT:-8} --dynamic-resources \
--cpu-limit ${ALIEN_JDL_CPULIMIT:-8} ${RESOURCE_ARGS} \
${ALIEN_O2DPG_FILEGRAPH:+--remove-files-early ${ALIEN_O2DPG_FILEGRAPH}} \
${ALIEN_O2DPG_ADDITIONAL_WORKFLOW_RUNNER_ARGS}

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