Commit: d49b850399aa12ab1e62b40e38bec7c5d0096190
Author: Jacques Lucke
Date: Fri Jan 6 13:01:22 2023 +0100
Branches: master
https://developer.blender.org/rBd49b850399aa12ab1e62b40e38bec7c5d0096190
Tests: run geometry nodes benchmarks multiple times to reduce noise
Ideally, we would also get variance information out of the test, but that
seems a bit more complex to implement. For now just run the test a couple
of times and average the timings.
The test now runs between 5 and 100 times, depending on how long it
to run the test once.
===================================================================
M tests/performance/tests/geometry_nodes.py
===================================================================
diff --git a/tests/performance/tests/geometry_nodes.py
b/tests/performance/tests/geometry_nodes.py
index 3505f5278bd..591c78045ae 100644
--- a/tests/performance/tests/geometry_nodes.py
+++ b/tests/performance/tests/geometry_nodes.py
@@ -11,18 +11,33 @@ def _run(args):
# Evaluate objects once first, to avoid any possible lazy evaluation later.
bpy.context.view_layer.update()
- # Tag all objects with geometry nodes modifiers to be recalculated.
- for ob in bpy.context.view_layer.objects:
- for modifier in ob.modifiers:
- if modifier.type == 'NODES':
- ob.update_tag()
- break
-
- start_time = time.time()
- bpy.context.view_layer.update()
- elapsed_time = time.time() - start_time
-
- result = {'time': elapsed_time}
+ test_time_start = time.time()
+ measured_times = []
+
+ min_measurements = 5
+ max_measurements = 100
+ timeout = 5
+
+ while True:
+ # Tag all objects with geometry nodes modifiers to be recalculated.
+ for ob in bpy.context.view_layer.objects:
+ for modifier in ob.modifiers:
+ if modifier.type == 'NODES':
+ ob.update_tag()
+ break
+
+ start_time = time.time()
+ bpy.context.view_layer.update()
+ elapsed_time = time.time() - start_time
+ measured_times.append(elapsed_time)
+
+ if len(measured_times) >= min_measurements and test_time_start +
timeout < time.time():
+ break
+ if len(measured_times) >= max_measurements:
+ break
+
+ average_time = sum(measured_times) / len(measured_times)
+ result = {'time': average_time}
return result
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