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Tensornetwork hosted inside a docker container that is gpu enabled running jax

Python 99.84% Dockerfile 0.12% Shell 0.04%

tensornets-gpu-jax-docker's Introduction

Tensornets-gpu-jax-docker

  1. Delete dockerfile and docker compose
  2. copy dockerfile and compose in either mac image for testing on a non gpu machine, or gpu image to train on a gpu machine
  3. only if using gpu download cudnn 8.4.x and place it in extras/lib
  4. run docker compose up -d or docker build to make the image
  5. for gpu, you'll need to install nvidia drivers and nvidia-docker on your machine
  6. Be aware that this is very shallow detail, there maybe errors or edit that you'll run into that i cannot think about at the moment, for e.g, your cudnn download in extras/lib, will have to be written into extras/shell/cuda.sh, so that it can be installed. Other similar issues may exist. Be ware.

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