WARNING ⚠️ user config directory '/home/azureuser/.config/Ultralytics' is not writable, using '/tmp/Ultralytics'. Set YOLO_CONFIG_DIR to override. Creating new Ultralytics Settings v0.0.6 file ✅ View Ultralytics Settings with 'yolo settings' or at '/tmp/Ultralytics/settings.json' Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings. CUDA initialization: The NVIDIA driver on your system is too old (found version 12080). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:119.) ====================================================================== FINAL TRAINING ON H100 - BALANCED DATASET ====================================================================== GPU Available: False ====================================================================== STEP 1: Downloading Datasets from Roboflow ====================================================================== Dataset 1: New helmet images (212)... loading Roboflow workspace... loading Roboflow project... Downloading Dataset Version Zip in ~/helmet_212 to yolov8:: 0%| | 0/12500 [00:00 results = model.train( ^^^^^^^^^^^^ File "/home/azureuser/yolo_h100_env/lib/python3.12/site-packages/ultralytics/engine/model.py", line 781, in train self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/azureuser/yolo_h100_env/lib/python3.12/site-packages/ultralytics/models/yolo/detect/train.py", line 63, in __init__ super().__init__(cfg, overrides, _callbacks) File "/home/azureuser/yolo_h100_env/lib/python3.12/site-packages/ultralytics/engine/trainer.py", line 128, in __init__ self.device = select_device(self.args.device) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/azureuser/yolo_h100_env/lib/python3.12/site-packages/ultralytics/utils/torch_utils.py", line 230, in select_device raise ValueError( ValueError: Invalid CUDA 'device=0' requested. Use 'device=cpu' or pass valid CUDA device(s) if available, i.e. 'device=0' or 'device=0,1,2,3' for Multi-GPU. torch.cuda.is_available(): False torch.cuda.device_count(): 1 os.environ['CUDA_VISIBLE_DEVICES']: None