Annamalai Lakshmanan

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For me this works, I used docker image `pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel` from dockerhub and built my container to use it in different GPUs including RTX 5090. Maybe this helps ` ENV TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9;9.0;12.0+PTX"...