From c996a5a17509384a96fac6bb5ed67adb31c7f32d Mon Sep 17 00:00:00 2001
From: ludovic noels <l.noels@ulg.ac.be>
Date: Wed, 14 Sep 2022 23:07:00 +0200
Subject: [PATCH] update for ubunut 22.04
---
cm3apps/install.txt | 68 ++++++++++++++++++++++++++-------------------
1 file changed, 40 insertions(+), 28 deletions(-)
diff --git a/cm3apps/install.txt b/cm3apps/install.txt
index e92581927..9ae01b718 100644
--- a/cm3apps/install.txt
+++ b/cm3apps/install.txt
@@ -587,52 +587,64 @@ C) Install Open Cascade (optional)
D) Install Torch
cd local
- // no gpu
- wget https://download.pytorch.org/libtorch/cpu/libtorch-shared-with-deps-1.4.0%2Bcpu.zip
- unzip libtorch-shared-with-deps-1.4.0+cpu.zip
+ // no gpu
+ wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip
+ unzip libtorch-shared-with-deps-latest.zip
if you need in python3 without gpu
- pip3 install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
+ sudo pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
// gpu
- 1) clean up
+ 1) clean up (still with new ubuntu?, to check)
sudo rm /etc/apt/sources.list.d/cuda*
sudo apt remove --autoremove nvidia-cuda-toolkit
sudo apt remove --autoremove nvidia-*
- 2) purge
+ 2) purge (still with new ubuntu?, to check)
sudo apt-get purge nvidia*
sudo apt-get autoremove
sudo apt-get autoclean
sudo rm -rf /usr/local/cuda*
- 3) install graphics
+ 3) install graphics (still with new ubuntu?, to check)
sudo apt update
sudo add-apt-repository ppa:graphics-drivers
- sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
- sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
- sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda_learn.list'
+ sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub
+ sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
+ //sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda_learn.list'
+ // alternative?
+ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pinsudo
+ mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
+ wget https://developer.download.nvidia.com/compute/cuda/11.7.1/local_installers/cuda-repo-ubuntu2204-11-7-local_11.7.1-515.65.01-1_amd64.debsudo
+ dpkg -i cuda-repo-ubuntu2204-11-7-local_11.7.1-515.65.01-1_amd64.debsudo
+ cp /var/cuda-repo-ubuntu2204-11-7-local/cuda-*-keyring.gpg /usr/share/keyrings/sudo apt-get update
+
+ 4) install cuda
sudo apt update
- sudo apt install cuda-11-0
- sudo apt install libcudnn7
+ sudo apt install cuda-11-7
+
add in your .bashrc
export PATH=/usr/local/cuda/bin/:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH
- 4) install cudnn
- download cudnn from nvidia (you need to register and downloadmanualy
- https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.0.4/11.0_20200923/cudnn-11.0-linux-x64-v8.0.4.30.tgz
- copy in your local directory
- tar xvf cudnn-11.0-linux-x64-v8.0.4.30.tgz
- sudo cp cuda/include/cudnn*.h /usr/local/cuda/include
- or sudo ln -s ~/local/cuda/include/cudnn* /usr/local/cuda/include/
- sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
- or sudo ln -s ~/local/cuda/lib64/libcudnn* /usr/local/cuda/lib64
- sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*
- 5) download torch with gpu
- wget https://download.pytorch.org/libtorch/cu110/libtorch-shared-with-deps-1.7.0%2Bcu110.zip
- unzip libtorch-shared-with-deps-1.7.0%2Bcu110.zip
+ 5) install cudnn (still with new ubuntu?, to check)
+ method 1)
+ sudo apt-get -y install nvidia-cudnn
+
+ method 2)
+ download cudnn from nvidia (you need to register and downloadmanualy
+ https://developer.nvidia.com/compute/cudnn/secure/8.5.0/local_installers/11.7/cudnn-local-repo-cross-sbsa-ubuntu2204-8.5.0.96_1.0-1_all.deb
+ copy in your local directory
+ tar xvf cudnn-11.0-linux-x64-v8.0.4.30.tgz
+ sudo ln -s ~/local/cuda/include/cudnn* /usr/local/cuda/include/
+ sudo ln -s ~/local/cuda/lib64/libcudnn* /usr/local/cuda/lib64
+ sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*
+ 6) download torch with gpu
+ wget https://download.pytorch.org/libtorch/nightly/cu117/libtorch-shared-with-deps-latest.zip
+ unzip libtorch-shared-with-deps-latest.zip
+
- 6) if you need in python3
+ 7) if you need in python3
(with gpu)
- sudo pip3 install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio===0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
+ pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cu117
(without gpu)
- sudo pip3 install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
+ pip3 install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+
--
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