Installation

Note

In order to make use of the GPU, make sure that you have the correct prerequisites installed. zyglrox relies on Tensorflow 1.15.0, which has the same requirements as 1.14.0:

  • Python 3.3-3.7

  • CUDNN 7.4

  • CUDA 10.0

See the tensorflow documentation for more information.

Setup a Conda environment using the environment.yml file

  1. Install Conda

  2. Clone the git

git clone https://gitlab.com/rooler/zyglrox.git

  1. Create a virtual environment

conda env create -f environment.yml

It is good to know that you can easily update the env

conda env update -f environment.yml

To remove the environment use

conda remove --name qve --all

  1. Activate the environment as follows:

conda activate zyglrox

Finally, navigate to the zyglrox directory and run

python setup.py install

If you care able to run the tutorials, you’re good to go!