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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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9 changed files with 46 additions and 26 deletions
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11
tests/test_cuda.py
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@ -7,9 +7,10 @@ import torch
from ultralytics import YOLO, download
from ultralytics.utils import ASSETS, SETTINGS
from ultralytics.utils.checks import cuda_device_count, cuda_is_available
CUDA_IS_AVAILABLE = torch.cuda.is_available()
CUDA_DEVICE_COUNT = torch.cuda.device_count()
CUDA_IS_AVAILABLE = cuda_is_available()
CUDA_DEVICE_COUNT = cuda_device_count()
DATASETS_DIR = Path(SETTINGS['datasets_dir'])
WEIGHTS_DIR = Path(SETTINGS['weights_dir'])
@ -18,10 +19,8 @@ DATA = 'coco8.yaml'
def test_checks():
from ultralytics.utils.checks import cuda_device_count, cuda_is_available
assert cuda_device_count() == CUDA_DEVICE_COUNT
assert cuda_is_available() == CUDA_IS_AVAILABLE
assert torch.cuda.is_available() == CUDA_IS_AVAILABLE
assert torch.cuda.device_count() == CUDA_DEVICE_COUNT
@pytest.mark.skipif(not CUDA_IS_AVAILABLE, reason='CUDA is not available')