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Train target model - YOLOv8:
Default epochs=50, got error and tried again with epochs=2 and got same error.
New https://pypi.org/project/ultralytics/8.0.189 available 😃 Update with 'pip install -U ultralytics'
Ultralytics YOLOv8.0.81 🚀 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla V100-SXM2-16GB, 16151MiB)
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RuntimeError Traceback (most recent call last)
[<ipython-input-22-8c0827b8627e>](https://localhost:8080/#) in <cell line: 6>()
4
5 target_model = YOLOv8("yolov8n.pt")
----> 6 target_model.train(DATA_YAML_PATH, epochs=2)
7 frames
[/usr/local/lib/python3.10/dist-packages/torch/cuda/random.py](https://localhost:8080/#) in cb()
109 for i in range(device_count()):
110 default_generator = torch.cuda.default_generators[i]
--> 111 default_generator.manual_seed(seed)
112
113 _lazy_call(cb, seed_all=True)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
Environment
google colab V100 51GB RAM
Minimal Reproducible Example
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Additional
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Are you willing to submit a PR?
Yes I'd like to help by submitting a PR!
The text was updated successfully, but these errors were encountered:
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Notebook name
how-to-auto-train-yolov8-model-with-autodistill.ipynb
Bug
Train target model - YOLOv8:
Default epochs=50, got error and tried again with epochs=2 and got same error.
Environment
Minimal Reproducible Example
No response
Additional
No response
Are you willing to submit a PR?
The text was updated successfully, but these errors were encountered: