pasqalup/nmg

Neural Music Generator

NMG - A Neural Music Generator

Usage

Start by cloning this repository:

git clone https://github.com/Pasqalup/NMG.git'
cd NMG

Find all DELETE_ME files found in the notebooks/ folder and delete them

1. Installation

Requires Anaconda or Miniconda
Using Linux reccommended

• Create an environment

  conda create -n NMG python=3.9
  

• Install Tensorflow

  • Linux GPU:

  conda install -c conda-forge cudatoolkit=11.8.0
  python3 -m pip install nvidia-cudnn-cu11==8.6.0.163 tensorflow==2.12.*
  mkdir -p $CONDA_PREFIX/etc/conda/activate.d
  echo 'CUDNN_PATH=$(dirname $(python -c "import nvidia.cudnn;print(nvidia.cudnn.__file__)"))' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh
  echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/:$CUDNN_PATH/lib' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh
  source $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh
  # Verify install:
  python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
  

  • WSL GPU ¹:

  See https://docs.nvidia.com/cuda/wsl-user-guide/index.html
  Follow previous instructions for Linux installation

  • Windows Native GPU ¹²:

  See https://github.com/microsoft/tensorflow-directml-plugin#tensorflow-directml-plugin-

  For CPU ¹:

  pip install tensorflow-cpu==2.12.*
  

  Install other dependencies

  pip install -r requirements.txt
  

2. Usage

  Find all DELETE_ME files found in the notebooks/ folder and delete them
  For now, run the three notebooks sequentially. This project is still in early development and may not generate promising results.

Footnotes

1. Not yet tested ↩ ↩² ↩³

2. This software is still under early development and you may run into issues. It is recommended that you use WSL Instead. ↩