The repository is organized as follows:
-
src : Contains the source codes for all .... The source code is written in Python and it takes advantage of Numpy and Matplotlib. In order to run a simulation you have to use the file run_xxxx.py.
-
tools: In this folder you can find some tools for.... With yyy.py you can reproduce the figures found in ().
-
data: Here are saved all the results once you run a simulation.
-
params: Here you can find all the configuration files containing all the parameters (for each experiments).
- Python 3.6
- Numpy
- PyTorch 1.2.0
- CUDA 10.1
conda create -n myenv python=3.6
conda install something
mkdir xxxxx
python run_xxxx.py
If you are using headless environment (for example, ssh to a server and run the code), you may need to run something like this: xvfb-run -s "-screen 0 1400x900x24" python run_xxxx.py