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ultralytics 8.0.181 RTDETR, MLFlow fixes and Examples updates (#4927)

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Co-authored-by: 唐洁 <tangjie1953479@tongji.edu.cn>
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Glenn Jocher 2023-09-18 14:12:34 +02:00 • committed by GitHub
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commit 742ec7fb1d
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9 changed files with 46 additions and 26 deletions
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5
tests/test_cli.py
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@ -6,7 +6,10 @@ from pathlib import Path
import pytest
from ultralytics.utils import ASSETS, SETTINGS
from ultralytics.utils.checks import cuda_device_count, cuda_is_available
CUDA_IS_AVAILABLE = cuda_is_available()
CUDA_DEVICE_COUNT = cuda_device_count()
WEIGHTS_DIR = Path(SETTINGS['weights_dir'])
TASK_ARGS = [
('detect', 'yolov8n', 'coco8.yaml'),
@ -117,6 +120,8 @@ def test_mobilesam():
# Slow Tests -----------------------------------------------------------------------------------------------------------
@pytest.mark.slow
@pytest.mark.parametrize('task,model,data', TASK_ARGS)
@pytest.mark.skipif(not CUDA_IS_AVAILABLE, reason='CUDA is not available')
@pytest.mark.skipif(CUDA_DEVICE_COUNT < 2, reason='DDP is not available')
def test_train_gpu(task, model, data):
run(f'yolo train {task} model={model}.yaml data={data} imgsz=32 epochs=1 device=0') # single GPU
run(f'yolo train {task} model={model}.pt data={data} imgsz=32 epochs=1 device=0,1') # multi GPU