I am using an **NVIDIA RTX 5070 with CUDA 12.8 (sm_120) Window 11 ** and trying to use GPT-SoVITS, but I encountered a compatibility error that prevented it from running.
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_50 sm_60 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 Start Locally | PyTorch
Yesterday, I updated to the preview (Nightly) version, which was recently released(torchvision, torchaudio). However, during the update process, the following error message appeared.
Could you help me resolve this issue?
ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
fairseq 0.12.2 requires hydra-core<1.1,>=1.0.7, but you have hydra-core 1.3.2 which is incompatible.
fairseq 0.12.2 requires omegaconf<2.1, but you have omegaconf 2.3.0 which is incompatible.
torch-directml 0.2.0.dev230426 requires torch==2.0.0, but you have torch 2.7.0.dev20250311+cu128 which is incompatible.
torch-directml 0.2.0.dev230426 requires torchvision==0.15.1, but you have torchvision 0.22.0.dev20250312+cu128 which is incompatible