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Zheyuan Wu
2025-10-12 00:55:07 -05:00
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[2025-10-11 20:41:09,978][py.warnings][WARNING] - C:\Users\wuzhe\anaconda3\envs\drl_hw2\lib\site-packages\torch\cuda\__init__.py:283: UserWarning:
Found GPU0 NVIDIA GeForce RTX 5090 which is of cuda capability 12.0.
Minimum and Maximum cuda capability supported by this version of PyTorch is
(6.1) - (9.0)
warnings.warn(
[2025-10-11 20:41:09,979][py.warnings][WARNING] - C:\Users\wuzhe\anaconda3\envs\drl_hw2\lib\site-packages\torch\cuda\__init__.py:304: UserWarning:
Please install PyTorch with a following CUDA
configurations: 12.8 12.9 following instructions at
https://pytorch.org/get-started/locally/
warnings.warn(matched_cuda_warn.format(matched_arches))
[2025-10-11 20:41:09,979][py.warnings][WARNING] - C:\Users\wuzhe\anaconda3\envs\drl_hw2\lib\site-packages\torch\cuda\__init__.py:326: UserWarning:
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.
If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(
[2025-10-11 20:41:11,670][__main__][INFO] - Training for 50000 timesteps with NormalQNetwork and NormalReplayBuffer