I just wanted to pay homage to one of the most brilliant programming optimizations. This Inverse Square write up should be required reading to show how much thought can go into a single line of code. In my life I probably will never write a line of code that is as beautiful in it’s intimate knowledge of math and low level computer expertise.
I wanted to document installing PyTorch on Ubuntu 18.04 just in case it could be useful to myself or others in the future. I tried to combine videos and forum posts together on this topic.
2. On the Additional Drivers tab, change the driver to "Using NVIDIA driver metapackage nvidia-driver-390 (proprietary, tested)" 2. Reboot to load drivers. 3. Check to make sure the driver was installed correctly with: $ nvidia-smi
3. Install the NVidia Cuda Toolkit $ sudo apt update $ sudo apt install nvidia-cuda-toolkit
5. Download Anaconda which is used to install PyTorch. The latest version can be found on the official site. $ wget https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh 6. Make the script executable and run it. $ chmod u+x Anaconda3-5.1.0-Linux-x86_64.sh $ ./Anaconda3-5.1.0-Linux-x86_64.sh 7. Check to make sure it is installed with: $ python --version $ conda --version
5. Use Anaconda to install PyTorch: $ conda install pytorch torchvision cuda91 -c pytorch 6. Test it with: $ ipython
import torch t = torch.rand(5) r = t.cuda() r