mirror of
https://github.com/storytold/storyteller-ml.git
synced 2026-10-12 23:48:57 +00:00
Brandon Thomas
188 lines
6.3 KiB
Docker
188 lines
6.3 KiB
Docker
# ==================== Python Build Base ====================
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FROM ghcr.io/storytold/docker-base-images-nvidia-cuda-experimental:080f96bc7087 as pybuild-base
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## Authenticating with GHCR locally:
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## https://docs.github.com/en/packages/working-with-a-github-packages-registry/migrating-to-the-container-registry-from-the-docker-registry
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## ```
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## export CR_PAT=YOUR_TOKEN
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## echo $CR_PAT | docker login ghcr.io -u USERNAME --password-stdin
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## ```
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#
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##FROM nvidia/cuda:10.1-devel-ubuntu18.04 as pybuild-base
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#FROM nvidia/cuda:11.3.0-devel-ubuntu20.04 as pybuild-base
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#
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## tzdata install hangs without presetting the time zone
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#ENV TZ=UTC
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#RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
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#
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## NB(2021-05-30): This is the image that Tacotron 2's Dockerfile specifies.
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## I have not tried this, but it might be necessary.
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##FROM pytorch/pytorch:nightly-devel-cuda10.0-cudnn7
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##ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
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#
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## NB: https://github.com/NVIDIA/nvidia-docker/issues/864#issuecomment-439848887
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## NB: We do not install ffmpeg, since the version is 3.8.* series and we need 4.2.*
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##
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## NB(2021-05-30): We need to install `cython3` for building modern Tacotron 2
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## dependencies (ie. protoc) on old Ubuntu
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## RUN apt-get update \
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## && apt-get install -y \
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#RUN apt-get update
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##RUN apt-cache search python3.8
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#
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## NB: Here we install nvidia drivers
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## NB: Avoid keyboard prompt
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#RUN DEBIAN_FRONTEND=noninteractive apt-get install -y nvidia-384 --no-install-recommends
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#
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## ffmpeg version 4.2.4-1ubuntu0.1 Copyright (c) 2000-2020 the FFmpeg developers
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##RUN apt-get install -y ffmpeg
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##RUN ffmpeg -version
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##RUN sleep 100
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#
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## Notes on packages:
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## * software-properties-common - needed for `apt-add-repository`
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## * pciutils - needed for `lspci | grep -i nvidia`
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#RUN apt-get install -y \
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# build-essential \
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# curl \
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# cython3 \
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# ffmpeg \
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# g++-7 \
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# gcc-7 \
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# git \
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# htop \
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# imagemagick \
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# libc++-7-dev \
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# libffi-dev \
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# libgcc-7-dev \
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# libmagic1 \
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# libsm6 \
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# libsndfile1 \
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# libssl-dev \
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# libxext6 \
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# libxrender-dev \
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# netcat \
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# pciutils \
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# python-dev \
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# python3-pip \
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# python3.8 \
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# python3.8-dev \
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# python3.8-venv\
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# redis-tools \
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# silversearcher-ag \
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# software-properties-common \
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# sox \
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# tmux \
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# vim \
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# wget
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#
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#
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## Wav2Lip needs Python3.6
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## NB: we install python3-virtualenv as `python3.6 -m venv` won't work anymore
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#RUN add-apt-repository ppa:deadsnakes/ppa
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#RUN apt-get update
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#RUN apt-get install -y python3.6
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#RUN apt-get install -y python3-virtualenv
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#RUN apt-get install -y python3.6-venv
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#RUN apt-get install -y python3.6-dev
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##RUN apt-get install python3-virtualenv
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#
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#
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#RUN python3.6 --version
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#RUN python3.8 --version
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# We need ffmpeg version >= 4.2 (https://superuser.com/a/579110)
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# http://ubuntuhandbook.org/index.php/2020/06/install-ffmpeg-4-3-via-ppa-ubuntu-18-04-16-04/
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#RUN apt-get install -y software-properties-common \
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# && add-apt-repository ppa:jonathonf/ffmpeg-4 \
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# && apt-get update \
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# && apt-get install -y ffmpeg
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#
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# The downloader needs youtube-dl as a python library
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# NB: No longer maintained: https://news.ycombinator.com/item?id=28319624
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#RUN pip3 install --upgrade youtube-dl
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# Used by the downloader script.
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# And it looks like youtube-dl is dead...
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# Per the README, it looks like pip will always pull the latest version.
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# https://github.com/yt-dlp/yt-dlp#update
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RUN python3 -m pip install --upgrade yt-dlp
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# ==================== Tacotron, Waveglow, HifiGan, etc. ====================
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FROM pybuild-base as pybuild-requirements
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WORKDIR /
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COPY ./tts ./models/tts
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WORKDIR models/tts
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# NB: Not sure if we need Python3.6 for Tacotron2, but Python3.8 gave me trouble.
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# NB: Setuptools fix: https://github.com/tensorflow/tensorflow/issues/34302#issuecomment-554450289
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RUN python3.6 -m venv python
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RUN . python/bin/activate \
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&& pip install --upgrade pip setuptools \
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&& pip install -r requirements-tacotron-python36.txt \
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&& deactivate
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# Final image
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# FROM ubuntu:xenial
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FROM pybuild-requirements as final
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WORKDIR /
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#COPY scripts/ ./scripts
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# See: https://github.com/opencontainers/image-spec/blob/master/annotations.md
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LABEL org.opencontainers.image.authors='bt@brand.io, echelon@gmail.com'
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LABEL org.opencontainers.image.url='https://github.com/storytold/tts-core'
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LABEL org.opencontainers.image.documentation='https://github.com/storytold/tts-core'
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LABEL org.opencontainers.image.source='https://github.com/storytold/tts-core'
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# NB(echelon,2022-07-06): The following fix for revoked keys was copied from "storyteller-rust".
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# These dockerfiles are in such bad shape that they all need to be revisited and pared down to
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# only the essentials.
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#
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# NB(echelon,2022-05-31): NVIDIA revoked some of their keys.
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# A better long term fix is to remove these dependencies outright and not have ML deps in this repo.
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# https://developer.nvidia.com/blog/updating-the-cuda-linux-gpg-repository-key/
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# https://forums.developer.nvidia.com/t/invalid-public-key-for-cuda-apt-repository/212901/11
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RUN apt-key del 7fa2af80
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# NB: Fix for 'E: Conflicting values set for option Signed-By regarding source'
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# NB: We need to remove all sources
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RUN rm $(find /etc/apt | grep cuda)
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#RUN wget https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch/cuda-keyring_1.0-1_all.deb
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RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
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RUN dpkg -i cuda-keyring_1.0-1_all.deb
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# NB: Comment this out for non-debug images
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# TODO: Figure out how this is done elsewhere with just the static binaries
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# Others: `mysql-client`
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RUN apt-get update \
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&& apt-get install -y \
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curl \
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python3-pip \
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python3 \
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wget
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RUN python3 --version
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#RUN python3.7 -m venv python
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#RUN . python/bin/activate \
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# && pip install --upgrade pip \
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# && pip install -r requirements.txt
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# TODO: Use venv to do this instead.
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RUN pip3 install gdown
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# NB(echelon,2022-07-14): Run a newer version of pytorch which will support RTX3090.
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# Fixes bug, "NVIDIA GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation."
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RUN pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
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