RTX 5090 errors not lunching even after I have installed PyTorch nightly with cuda 11.8

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C:\Users\OBFUSCATE\VisoMaster\dependencies
C:\Users\OBFUSCATE\miniconda3\envs\visomaster\lib\site-packages\torch\cuda_init_.py:230: UserWarning:
NVIDIA GeForce RTX 5090 Laptop GPU 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 Laptop GPU GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(
Traceback (most recent call last):
File "C:\Users\OBFUSCATE\VisoMaster\main.py", line 16, in
window = main_ui.MainWindow()
File "C:\Users\OBFUSCATE\VisoMaster\app\ui\main_ui.py", line 210, in init
self.initialize_variables()
File "C:\Users\OBFUSCATE\VisoMaster\app\ui\main_ui.py", line 46, in initialize_variables
self.models_processor = ModelsProcessor(self)
File "C:\Users\OBFUSCATE\VisoMaster\app\processors\models_processor.py", line 98, in init
self.face_editors = FaceEditors(self)
File "C:\Users\OBFUSCATE\VisoMaster\app\processors\face_editors.py", line 22, in init
self.lp_mask_crop = faceutil.create_faded_inner_mask(size=(512, 512), border_thickness=5, fade_thickness=15, blur_radius=5, device=self.models_processor.device)
File "C:\Users\OBFUSCATE\VisoMaster\app\processors\utils\faceutil.py", line 1372, in create_faded_inner_mask
mask = torch.zeros((height, width), dtype=torch.float32, device=device) # Start with a black mask
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.