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ultralytics 8.2.87 Ray shutdown() workers after tuning (#15976)

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Glenn Jocher 2024-09-03 12:43:48 +02:00 • committed by GitHub
parent b2ab667f00
commit 3fc14b5fec
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3 changed files with 9 additions and 4 deletions
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2
tests/test_python.py
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@ -202,7 +202,7 @@ def test_workflow():
model.train(data="coco8.yaml", epochs=1, imgsz=32, optimizer="SGD") model.train(data="coco8.yaml", epochs=1, imgsz=32, optimizer="SGD")
model.val(imgsz=32) model.val(imgsz=32)
model.predict(SOURCE, imgsz=32) model.predict(SOURCE, imgsz=32)
model.export(format="onnx") model.export(format="torchscript")
def test_predict_callback_and_setup(): def test_predict_callback_and_setup():

2
ultralytics/__init__.py
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@ -1,6 +1,6 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license # Ultralytics YOLO 🚀, AGPL-3.0 license
__version__ = "8.2.86" __version__ = "8.2.87"
import os import os

9
ultralytics/utils/tuner.py
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@ -143,5 +143,10 @@ def run_ray_tune(
# Run the hyperparameter search # Run the hyperparameter search
tuner.fit() tuner.fit()
# Return the results of the hyperparameter search # Get the results of the hyperparameter search
return tuner.get_results() results = tuner.get_results()
# Shut down Ray to clean up workers
ray.shutdown()
return results