This makes pytorch available, but I wonder if this was compiled for the Orin Nano:
self.alpha_mask = torch.ones_like(resized_image_rgb[0:1, ...].to(self.data_device))
torch.AcceleratorError: CUDA error: no kernel image is available for execution on the device
Search for `cudaErrorNoKernelImageForDevice' in
for more information.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
# note: .io replaces the old .dev link
sudo pip install https://pypi.jetson-ai-lab.io/jp6/cu126/+f/62a/1beee9f2f1470/torch-2.8.0-cp310-cp310-linux_aarch64.whl#sha256=62a1beee9f2f147076a974d2942c90060c12771c94740830327cae705b2595fc