Modified version of DelightfulTTS and UnivNet
Create / activate env
conda create --name tts_framework python=3.11
conda activate tts_framework
Export / import env
conda env export > environment.yml
By default, conda will export your environment with builds, but builds can be platform-specific.
A solution that worked for me is to use the --no-build flag:
conda env export --no-build > environment.yml
Create an env
conda env create -f environment.yml
If you have troubles with export, like:
InvalidVersionSpec: Invalid version '3.0<3.3': invalid character(s)
Find a problem by this way:
cd /mnt/Data/anaconda3/envs/tts_framework/lib/python3.11/site-packages/
grep -Rnw . -e "3.0<3.3"
A Faster Solver for Conda: Libmamba
Generate docs:
# live preview server
mkdocs serve
# build a static site from your Markdown files
mkdocs build
Test cases:
python -m unittest discover -v
conda update -n base conda
And then:
conda install -n base conda-libmamba-solver
conda config --set solver libmamba
Install separately
# First - pytorch
# conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
# Second - lightning
pip3 install lightning