facebookresearch
RTX5070Ti. struggled with the torch version and CUDA version
vggt) D:\Anaconda\envs\vggt\vggt>nvidia-smi Tue Nov 25 21:53:08 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 581.57 Driver Version: 581.57 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Driver-Model | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 5070 Ti WDDM | 00000000:01:00.0 On | N/A | | 0% 45C P8 20W / 300W | 2296MiB / 16303MiB | 0% Default | | | | N/A |
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
(vggt) D:\Anaconda\envs\vggt\vggt>pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu132 Looking in indexes: https://download.pytorch.org/whl/nightly/cu132 ERROR: Could not find a version that satisfies the requirement torch (from versions: none) ERROR: No matching distribution found for torch
Hi! It looks like you’re running on a Windows machine. Installation on Windows needs some manual customization, as our provided script can’t handle it as is.
