Invalid CUDA 'device=0,1,2,3,4,5,6,7' 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.

[dyzlumos]

based projA module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.0 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last): File "/data/dyz/Mamba-YOLO-main/mbyolo_train.py", line 1, in from ultralytics import YOLO File "/data/dyz/Mamba-YOLO-main/ultralytics/init.py", line 10, in from ultralytics.data.explorer.explorer import Explorer File "/data/dyz/Mamba-YOLO-main/ultralytics/data/init.py", line 3, in from .base import BaseDataset File "/data/dyz/Mamba-YOLO-main/ultralytics/data/base.py", line 15, in from torch.utils.data import Dataset File "/home/anaconda3/envs/mambayoloD/lib/python3.11/site-packages/torch/init.py", line 1382, in from .functional import # noqa: F403 File "/home/anaconda3/envs/mambayoloD/lib/python3.11/site-packages/torch/functional.py", line 7, in import torch.nn.functional as F File "/home/anaconda3/envs/mambayoloD/lib/python3.11/site-packages/torch/nn/init.py", line 1, in from .modules import # noqa: F403 File "/home/anaconda3/envs/mambayoloD/lib/python3.11/site-packages/torch/nn/modules/init.py", line 35, in from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/anaconda3/envs/mambayoloD/lib/python3.11/site-packages/torch/nn/modules/transformer.py", line 20, in device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/anaconda3/envs/mambayoloD/lib/python3.11/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), WARNING ⚠️ no model scale passed. Assuming scale='L'. Ultralytics YOLOv8.2.29 🚀 Python-3.11.9 torch-2.1.0+cu121 Traceback (most recent call last): File "/data/dyz/Mamba-YOLO-main/mbyolo_train.py", line 44, in "train": YOLO(model_conf).train(**args), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/data/dyz/Mamba-YOLO-main/ultralytics/engine/model.py", line 655, in train self.trainer = (trainer or self._smart_load("trainer"))(overrides=args, _callbacks=self.callbacks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/data/dyz/Mamba-YOLO-main/ultralytics/engine/trainer.py", line 101, in init self.device = select_device(self.args.device, self.args.batch) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/data/dyz/Mamba-YOLO-main/ultralytics/utils/torch_utils.py", line 136, in select_device raise ValueError( ValueError: Invalid CUDA 'device=0,1,2,3,4,5,6,7' 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(): True torch.cuda.device_count(): 4 os.environ['CUDA_VISIBLE_DEVICES']: None ects

[EthanW-coder]

If you only have one GPU, set device to '0'.