bunsyy · February 18, 2025 03:28
diff --git a/README.md b/README.md
diff --git a/step-1.sh b/step-1.sh
 sudo apt update && sudo apt upgrade
diff --git a/step-2.sh b/step-2.sh
 sudo apt autoremove nvidia* --purge
diff --git a/step-3.sh b/step-3.sh
 ubuntu-drivers devices
diff --git a/step-4-1.sh b/step-4-1.sh
 sudo ubuntu-drivers autoinstall
diff --git a/step-4-2.sh b/step-4-2.sh
 sudo apt install nvidia-driver-570
diff --git a/step-4-3.sh b/step-4-3.sh
 reboot
diff --git a/step-4-4.sh b/step-4-4.sh
 nvidia-smi
diff --git a/step-5-1.sh b/step-5-1.sh
 sudo apt update && sudo apt upgrade
diff --git a/step-5-2.sh b/step-5-2.sh
 sudo apt install nvidia-cuda-toolkit
diff --git a/step-5-3.sh b/step-5-3.sh
 nvcc --version
diff --git a/step-6-1.sh b/step-6-1.sh
 sudo apt-get install python3-pip
 sudo pip3 install virtualenv
 virtualenv -p python3.10 venv
 source venv/bin/activate
diff --git a/step-6-2.sh b/step-6-2.sh
 pip3 install torch torchvision torchaudio
diff --git a/step-6-3.sh b/step-6-3.sh
 import torch
 print(torch.cuda.is_available())  # Should return True
 t = torch.rand(10, 10).cuda()
 print(t.device)  # Should return 'cuda'
diff --git a/step-7-1.sh b/step-7-1.sh
 sudo apt install ./<filename.deb>
diff --git a/step-7-2.sh b/step-7-2.sh
 sudo cp /var/cudnn-<something>.gpg /usr/share/keyrings/
 sudo apt update
 sudo apt install libcudnn8
 sudo apt install libcudnn8-dev
 sudo apt install libcudnn8-samples
diff --git a/step-7-example.sh b/step-7-example.sh
 sudo apt install ./cudnn-local-repo-cross-sbsa-ubuntu2204-9.7.1_1.0-1_all.deb
diff --git a/step-8-1.sh b/step-8-1.sh
 sudo apt install ./<filename.deb>
 sudo apt update
 sudo apt install tensorrt
diff --git a/step-8-2-example.sh b/step-8-2-example.sh
 trtexec: /usr/src/tensorrt/bin/trtexec
diff --git a/step-8-2.sh b/step-8-2.sh
 whereis trtexec
diff --git a/step-8-3.sh b/step-8-3.sh
 /usr/src/tensorrt/bin/trtexec
	sudo apt-get install python3-pip
	sudo pip3 install virtualenv
	virtualenv -p python3.10 venv
	source venv/bin/activate
	import torch
	print(torch.cuda.is_available()) # Should return True
	t = torch.rand(10, 10).cuda()
	print(t.device) # Should return 'cuda'
	sudo cp /var/cudnn-<something>.gpg /usr/share/keyrings/
	sudo apt update
	sudo apt install libcudnn8
	sudo apt install libcudnn8-dev
	sudo apt install libcudnn8-samples
	sudo apt install ./<filename.deb>
	sudo apt update
	sudo apt install tensorrt