23 lines
1.3 KiB
Plaintext
23 lines
1.3 KiB
Plaintext
[2025-10-11 20:55:32,238][py.warnings][WARNING] - C:\Users\wuzhe\anaconda3\envs\drl_hw2\lib\site-packages\torch\cuda\__init__.py:283: UserWarning:
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Found GPU0 NVIDIA GeForce RTX 5090 which is of cuda capability 12.0.
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Minimum and Maximum cuda capability supported by this version of PyTorch is
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(6.1) - (9.0)
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warnings.warn(
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[2025-10-11 20:55:32,238][py.warnings][WARNING] - C:\Users\wuzhe\anaconda3\envs\drl_hw2\lib\site-packages\torch\cuda\__init__.py:304: UserWarning:
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Please install PyTorch with a following CUDA
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configurations: 12.8 12.9 following instructions at
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https://pytorch.org/get-started/locally/
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warnings.warn(matched_cuda_warn.format(matched_arches))
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[2025-10-11 20:55:32,240][py.warnings][WARNING] - C:\Users\wuzhe\anaconda3\envs\drl_hw2\lib\site-packages\torch\cuda\__init__.py:326: UserWarning:
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NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
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The current PyTorch install supports CUDA capabilities sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.
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If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
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warnings.warn(
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[2025-10-11 20:55:33,876][__main__][INFO] - Training for 50000 timesteps with NormalQNetwork and NormalReplayBuffer
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