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以下是报错信息:
Warning: E:\BaiduNetdiskDownload\32\VSET\vs_pytorch\lib\site-packages\mmcv_init_.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.
warnings.warn(
Warning: E:\BaiduNetdiskDownload\32\VSET\vs_pytorch\lib\site-packages\torch\cuda_init_.py:155: UserWarning:
NVIDIA GeForce RTX 5090 D with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 compute_37.
If you want to use the NVIDIA GeForce RTX 5090 D GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
以下是报错信息:
Warning: E:\BaiduNetdiskDownload\32\VSET\vs_pytorch\lib\site-packages\mmcv_init_.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.
warnings.warn(
Warning: E:\BaiduNetdiskDownload\32\VSET\vs_pytorch\lib\site-packages\torch\cuda_init_.py:155: UserWarning:
NVIDIA GeForce RTX 5090 D with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 compute_37.
If you want to use the NVIDIA GeForce RTX 5090 D GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
有人知道这个该怎么解决吗?
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