在 5070 ti 显卡上运行时出现“sm_120 不兼容当前的 PyTorch 安装。”的提示。

原先在2060上运行完全没问题，更换到5070 ti显卡后运行app.exe后命令行反馈如下内容： `torch\cuda\__init__.py:215: UserWarning: NVIDIA GeForce RTX 5070 Ti 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 sm_90 compute_37. If you want to use the NVIDIA GeForce RTX 5070 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ warnings.warn(torch_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() Start:127.0.0.1:9966`