forked from mrq/ai-voice-cloning
Merge pull request 'Make convenient to use with Docker' (#191) from psr/ai-voice-cloning:docker into master
Reviewed-on: mrq/ai-voice-cloning#191
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commit
b785192dfc
4
.dockerignore
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.dockerignore
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/models
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/training
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/voices
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/bin
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37
Dockerfile
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Dockerfile
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FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
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ARG DEBIAN_FRONTEND=noninteractive
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ARG TZ=UTC
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ARG MINICONDA_VERSION=23.1.0-1
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ARG PYTHON_VERSION=3.9.13
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RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
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RUN apt-get update
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RUN apt install -y curl wget git ffmpeg
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RUN adduser --disabled-password --gecos '' --shell /bin/bash user
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USER user
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ENV HOME=/home/user
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WORKDIR $HOME
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RUN mkdir $HOME/.cache $HOME/.config && chmod -R 777 $HOME
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-py39_$MINICONDA_VERSION-Linux-x86_64.sh
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RUN chmod +x Miniconda3-py39_$MINICONDA_VERSION-Linux-x86_64.sh
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RUN ./Miniconda3-py39_$MINICONDA_VERSION-Linux-x86_64.sh -b -p /home/user/miniconda
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ENV PATH="$HOME/miniconda/bin:$PATH"
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RUN conda init
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RUN conda install python=$PYTHON_VERSION
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RUN python3 -m pip install --upgrade pip
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RUN pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu118
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RUN mkdir $HOME/ai-voice-cloning
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WORKDIR $HOME/ai-voice-cloning
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COPY --chown=user:user modules modules
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RUN python3 -m pip install -r ./modules/tortoise-tts/requirements.txt
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RUN python3 -m pip install -e ./modules/tortoise-tts/
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RUN python3 -m pip install -r ./modules/dlas/requirements.txt
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RUN python3 -m pip install -e ./modules/dlas/
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ADD requirements.txt requirements.txt
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RUN python3 -m pip install -r ./requirements.txt
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ADD --chown=user:user . $HOME/ai-voice-cloning
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CMD ["python", "./src/main.py", "--listen", "0.0.0.0:7680"]
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4
setup-docker.sh
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setup-docker.sh
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#!/bin/bash
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git submodule init
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git submodule update --remote
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docker build -t ai-voice-cloning .
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start-docker.sh
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start-docker.sh
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#!/bin/bash
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CMD="python3 ./src/main.py $@"
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# CMD="bash"
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CPATH="/home/user/ai-voice-cloning"
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docker run --rm --gpus all \
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--mount "type=bind,src=$PWD/models,dst=$CPATH/models" \
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--mount "type=bind,src=$PWD/training,dst=$CPATH/training" \
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--mount "type=bind,src=$PWD/voices,dst=$CPATH/voices" \
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--mount "type=bind,src=$PWD/bin,dst=$CPATH/bin" \
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--workdir $CPATH \
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--user "$(id -u):$(id -g)" \
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--net host \
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-it ai-voice-cloning $CMD
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15
train-docker.sh
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train-docker.sh
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#!/bin/bash
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CMD="python3 ./src/train.py --yaml $1"
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# ipc host is one way to increase the shared memory for the container
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# more info here https://github.com/pytorch/pytorch#docker-image
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CPATH="/home/user/ai-voice-cloning"
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docker run --rm --gpus all \
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--mount "type=bind,src=$PWD/models,dst=$CPATH/models" \
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--mount "type=bind,src=$PWD/training,dst=$CPATH/training" \
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--mount "type=bind,src=$PWD/voices,dst=$CPATH/voices" \
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--mount "type=bind,src=$PWD/bin,dst=$CPATH/bin" \
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--mount "type=bind,src=$PWD/src,dst=$CPATH/src" \
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--workdir $CPATH \
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--ipc host \
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--user "$(id -u):$(id -g)" \
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-it ai-voice-cloning $CMD
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