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Update .pre-commit-config.yaml (#1026)

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Glenn Jocher 2023-02-17 22:26:40 +01:00 • committed by GitHub
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76 changed files with 928 additions and 935 deletions
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14
ultralytics/yolo/utils/torch_utils.py
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@ -61,7 +61,7 @@ def DDP_model(model):
def select_device(device='', batch=0, newline=False):
# device = None or 'cpu' or 0 or '0' or '0,1,2,3'
s = f"Ultralytics YOLOv{__version__} 🚀 Python-{platform.python_version()} torch-{torch.__version__} "
s = f'Ultralytics YOLOv{__version__} 🚀 Python-{platform.python_version()} torch-{torch.__version__} '
device = str(device).lower()
for remove in 'cuda:', 'none', '(', ')', '[', ']', "'", ' ':
device = device.replace(remove, '') # to string, 'cuda:0' -> '0' and '(0, 1)' -> '0,1'
@ -74,15 +74,15 @@ def select_device(device='', batch=0, newline=False):
os.environ['CUDA_VISIBLE_DEVICES'] = device # set environment variable - must be before assert is_available()
if not (torch.cuda.is_available() and torch.cuda.device_count() >= len(device.replace(',', ''))):
LOGGER.info(s)
install = "See https://pytorch.org/get-started/locally/ for up-to-date torch install instructions if no " \
"CUDA devices are seen by torch.\n" if torch.cuda.device_count() == 0 else ""
install = 'See https://pytorch.org/get-started/locally/ for up-to-date torch install instructions if no ' \
'CUDA devices are seen by torch.\n' if torch.cuda.device_count() == 0 else ''
raise ValueError(f"Invalid CUDA 'device={device}' requested."
f" Use 'device=cpu' or pass valid CUDA device(s) if available,"
f" i.e. 'device=0' or 'device=0,1,2,3' for Multi-GPU.\n"
f"\ntorch.cuda.is_available(): {torch.cuda.is_available()}"
f"\ntorch.cuda.device_count(): {torch.cuda.device_count()}"
f'\ntorch.cuda.is_available(): {torch.cuda.is_available()}'
f'\ntorch.cuda.device_count(): {torch.cuda.device_count()}'
f"\nos.environ['CUDA_VISIBLE_DEVICES']: {visible}\n"
f"{install}")
f'{install}')
if not cpu and not mps and torch.cuda.is_available(): # prefer GPU if available
devices = device.split(',') if device else '0' # range(torch.cuda.device_count()) # i.e. 0,1,6,7
@ -177,7 +177,7 @@ def model_info(model, verbose=False, imgsz=640):
fused = ' (fused)' if model.is_fused() else ''
fs = f', {flops:.1f} GFLOPs' if flops else ''
m = Path(getattr(model, 'yaml_file', '') or model.yaml.get('yaml_file', '')).stem.replace('yolo', 'YOLO') or 'Model'
LOGGER.info(f"{m} summary{fused}: {len(list(model.modules()))} layers, {n_p} parameters, {n_g} gradients{fs}")
LOGGER.info(f'{m} summary{fused}: {len(list(model.modules()))} layers, {n_p} parameters, {n_g} gradients{fs}')
def get_num_params(model):