mirror of
https://github.com/neonbjb/tortoise-tts.git
synced 2026-01-29 20:04:20 +01:00
85004c8c87
Dockerfile waits for an interactive screen from conda, which hangs Docker. This change simply changes the docker file to skip the interactive part.
35 lines
1.2 KiB
Docker
35 lines
1.2 KiB
Docker
FROM nvidia/cuda:12.2.0-base-ubuntu22.04
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COPY . /app
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RUN apt-get update && \
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apt-get install -y --allow-unauthenticated --no-install-recommends \
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wget \
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git \
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&& apt-get autoremove -y \
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&& apt-get clean -y \
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&& rm -rf /var/lib/apt/lists/*
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ENV HOME "/root"
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ENV CONDA_DIR "${HOME}/miniconda"
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ENV PATH="$CONDA_DIR/bin":$PATH
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ENV CONDA_AUTO_UPDATE_CONDA=false
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ENV PIP_DOWNLOAD_CACHE="$HOME/.pip/cache"
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ENV TORTOISE_MODELS_DIR="$HOME/tortoise-tts/build/lib/tortoise/models"
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda3.sh \
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&& bash /tmp/miniconda3.sh -b -p "${CONDA_DIR}" -f -u \
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&& "${CONDA_DIR}/bin/conda" init bash \
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&& rm -f /tmp/miniconda3.sh \
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&& echo ". '${CONDA_DIR}/etc/profile.d/conda.sh'" >> "${HOME}/.profile"
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# --login option used to source bashrc (thus activating conda env) at every RUN statement
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SHELL ["/bin/bash", "--login", "-c"]
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RUN conda create --name tortoise python=3.9 numba inflect \
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&& conda activate tortoise \
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&& conda install -y pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia \
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&& conda install -y transformers=4.29.2 \
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&& cd /app \
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&& python setup.py install
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