[INFO] Hybrid work with RTX

[Smiggy]

Hello,

We tried and got this error message. Please assist.

2025-07-22 14:52:58.031
C:\Users\user\Downloads\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\cuda\__init__.py:287: UserWarning:
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 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 RTX PRO 6000 Blackwell Workstation Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(

C:\Users\user\Downloads\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\cuda\__init__.py:287: UserWarning:
NVIDIA RTX PRO 6000 Blackwell Workstation Edition 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 RTX PRO 6000 Blackwell Workstation Edition GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(

2025-07-22 14:52:58.056
Failed to evaluate the script:
Python exception: CUDA error: invalid device ordinal
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.


Traceback (most recent call last):
File "src/cython/vapoursynth.pyx", line 3378, in vapoursynth._vpy_evaluate
File "src/cython/vapoursynth.pyx", line 3379, in vapoursynth._vpy_evaluate
File "C:\Users\user\AppData\Local\Temp\tempPreviewVapoursynthFile14_52_44_742.vpy", line 38, in
clip = SCUNet(clip=clip, model=3, device_index=1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "contextlib.py", line 81, in inner
File "C:\Users\user\Downloads\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\user\Downloads\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsscunet\__init__.py", line 134, in scunet
inf_streams = [torch.cuda.Stream(device) for _ in range(num_streams)]
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\user\Downloads\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\cuda\streams.py", line 39, in new
with torch.cuda.device(device):
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\user\Downloads\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\cuda\__init__.py", line 495, in enter
self.prev_idx = torch.cuda._exchange_device(self.idx)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: CUDA error: invalid device ordinal
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.