mirror of
https://github.com/storytold/storyteller-ml.git
synced 2026-10-12 23:48:57 +00:00
Brandon Thomas
192 lines
6.5 KiB
Docker
192 lines
6.5 KiB
Docker
# ==================== Python Build Base ====================
|
|
|
|
FROM ghcr.io/storytold/docker-base-images-nvidia-cuda-experimental:080f96bc7087 as pybuild-base
|
|
|
|
## Authenticating with GHCR locally:
|
|
## https://docs.github.com/en/packages/working-with-a-github-packages-registry/migrating-to-the-container-registry-from-the-docker-registry
|
|
## ```
|
|
## export CR_PAT=YOUR_TOKEN
|
|
## echo $CR_PAT | docker login ghcr.io -u USERNAME --password-stdin
|
|
## ```
|
|
#
|
|
##FROM nvidia/cuda:10.1-devel-ubuntu18.04 as pybuild-base
|
|
#FROM nvidia/cuda:11.3.0-devel-ubuntu20.04 as pybuild-base
|
|
#
|
|
## tzdata install hangs without presetting the time zone
|
|
#ENV TZ=UTC
|
|
#RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
|
|
#
|
|
## NB(2021-05-30): This is the image that Tacotron 2's Dockerfile specifies.
|
|
## I have not tried this, but it might be necessary.
|
|
##FROM pytorch/pytorch:nightly-devel-cuda10.0-cudnn7
|
|
##ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
|
|
#
|
|
## NB: https://github.com/NVIDIA/nvidia-docker/issues/864#issuecomment-439848887
|
|
## NB: We do not install ffmpeg, since the version is 3.8.* series and we need 4.2.*
|
|
##
|
|
## NB(2021-05-30): We need to install `cython3` for building modern Tacotron 2
|
|
## dependencies (ie. protoc) on old Ubuntu
|
|
## RUN apt-get update \
|
|
## && apt-get install -y \
|
|
#RUN apt-get update
|
|
##RUN apt-cache search python3.8
|
|
#
|
|
## NB: Here we install nvidia drivers
|
|
## NB: Avoid keyboard prompt
|
|
#RUN DEBIAN_FRONTEND=noninteractive apt-get install -y nvidia-384 --no-install-recommends
|
|
#
|
|
## ffmpeg version 4.2.4-1ubuntu0.1 Copyright (c) 2000-2020 the FFmpeg developers
|
|
##RUN apt-get install -y ffmpeg
|
|
##RUN ffmpeg -version
|
|
##RUN sleep 100
|
|
#
|
|
## Notes on packages:
|
|
## * software-properties-common - needed for `apt-add-repository`
|
|
## * pciutils - needed for `lspci | grep -i nvidia`
|
|
#RUN apt-get install -y \
|
|
# build-essential \
|
|
# curl \
|
|
# cython3 \
|
|
# ffmpeg \
|
|
# g++-7 \
|
|
# gcc-7 \
|
|
# git \
|
|
# htop \
|
|
# imagemagick \
|
|
# libc++-7-dev \
|
|
# libffi-dev \
|
|
# libgcc-7-dev \
|
|
# libmagic1 \
|
|
# libsm6 \
|
|
# libsndfile1 \
|
|
# libssl-dev \
|
|
# libxext6 \
|
|
# libxrender-dev \
|
|
# netcat \
|
|
# pciutils \
|
|
# python-dev \
|
|
# python3-pip \
|
|
# python3.8 \
|
|
# python3.8-dev \
|
|
# python3.8-venv\
|
|
# redis-tools \
|
|
# silversearcher-ag \
|
|
# software-properties-common \
|
|
# sox \
|
|
# tmux \
|
|
# vim \
|
|
# wget
|
|
#
|
|
#
|
|
## Wav2Lip needs Python3.6
|
|
## NB: we install python3-virtualenv as `python3.6 -m venv` won't work anymore
|
|
#RUN add-apt-repository ppa:deadsnakes/ppa
|
|
#RUN apt-get update
|
|
#RUN apt-get install -y python3.6
|
|
#RUN apt-get install -y python3-virtualenv
|
|
#RUN apt-get install -y python3.6-venv
|
|
#RUN apt-get install -y python3.6-dev
|
|
##RUN apt-get install python3-virtualenv
|
|
#
|
|
#
|
|
#RUN python3.6 --version
|
|
#RUN python3.8 --version
|
|
|
|
# We need ffmpeg version >= 4.2 (https://superuser.com/a/579110)
|
|
# http://ubuntuhandbook.org/index.php/2020/06/install-ffmpeg-4-3-via-ppa-ubuntu-18-04-16-04/
|
|
|
|
#RUN apt-get install -y software-properties-common \
|
|
# && add-apt-repository ppa:jonathonf/ffmpeg-4 \
|
|
# && apt-get update \
|
|
# && apt-get install -y ffmpeg
|
|
#
|
|
|
|
# The downloader needs youtube-dl as a python library
|
|
# NB: No longer maintained: https://news.ycombinator.com/item?id=28319624
|
|
#RUN pip3 install --upgrade youtube-dl
|
|
|
|
# Used by the downloader script.
|
|
# And it looks like youtube-dl is dead...
|
|
# Per the README, it looks like pip will always pull the latest version.
|
|
# https://github.com/yt-dlp/yt-dlp#update
|
|
RUN python3 -m pip install --upgrade yt-dlp
|
|
|
|
# ==================== Tacotron, Waveglow, HifiGan, etc. ====================
|
|
|
|
FROM pybuild-base as pybuild-requirements
|
|
|
|
WORKDIR /
|
|
|
|
COPY ./tts ./models/tts
|
|
WORKDIR models/tts
|
|
|
|
# NB: Not sure if we need Python3.6 for Tacotron2, but Python3.8 gave me trouble.
|
|
# NB: Setuptools fix: https://github.com/tensorflow/tensorflow/issues/34302#issuecomment-554450289
|
|
RUN python3.6 -m venv python
|
|
RUN . python/bin/activate \
|
|
&& pip install --upgrade pip setuptools \
|
|
&& pip install -r requirements-tacotron-python36.txt \
|
|
&& pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113 \
|
|
&& deactivate
|
|
|
|
|
|
|
|
# Final image
|
|
# FROM ubuntu:xenial
|
|
FROM pybuild-requirements as final
|
|
WORKDIR /
|
|
|
|
#COPY scripts/ ./scripts
|
|
|
|
# See: https://github.com/opencontainers/image-spec/blob/master/annotations.md
|
|
LABEL org.opencontainers.image.authors='bt@brand.io, echelon@gmail.com'
|
|
LABEL org.opencontainers.image.url='https://github.com/storytold/tts-core'
|
|
LABEL org.opencontainers.image.documentation='https://github.com/storytold/tts-core'
|
|
LABEL org.opencontainers.image.source='https://github.com/storytold/tts-core'
|
|
|
|
|
|
# NB(echelon,2022-07-06): The following fix for revoked keys was copied from "storyteller-rust".
|
|
# These dockerfiles are in such bad shape that they all need to be revisited and pared down to
|
|
# only the essentials.
|
|
#
|
|
# NB(echelon,2022-05-31): NVIDIA revoked some of their keys.
|
|
# A better long term fix is to remove these dependencies outright and not have ML deps in this repo.
|
|
# https://developer.nvidia.com/blog/updating-the-cuda-linux-gpg-repository-key/
|
|
# https://forums.developer.nvidia.com/t/invalid-public-key-for-cuda-apt-repository/212901/11
|
|
RUN apt-key del 7fa2af80
|
|
|
|
# NB: Fix for 'E: Conflicting values set for option Signed-By regarding source'
|
|
# NB: We need to remove all sources
|
|
RUN rm $(find /etc/apt | grep cuda)
|
|
|
|
#RUN wget https://developer.download.nvidia.com/compute/cuda/repos/$distro/$arch/cuda-keyring_1.0-1_all.deb
|
|
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
|
|
RUN dpkg -i cuda-keyring_1.0-1_all.deb
|
|
|
|
|
|
# NB: Comment this out for non-debug images
|
|
# TODO: Figure out how this is done elsewhere with just the static binaries
|
|
# Others: `mysql-client`
|
|
RUN apt-get update \
|
|
&& apt-get install -y \
|
|
curl \
|
|
python3 \
|
|
python3-pip \
|
|
wget
|
|
|
|
# ESpeak for new text pipeline
|
|
RUN apt-get install libespeak-ng1
|
|
|
|
RUN python3 --version
|
|
#RUN python3.7 -m venv python
|
|
#RUN . python/bin/activate \
|
|
# && pip install --upgrade pip \
|
|
# && pip install -r requirements.txt
|
|
|
|
# TODO: Use venv to do this instead.
|
|
RUN pip3 install gdown
|
|
|
|
# NB(echelon,2022-07-14): Run a newer version of pytorch which will support RTX3090.
|
|
# Fixes bug, "NVIDIA GeForce RTX 3080 with CUDA capability sm_86 is not compatible with the current PyTorch installation."
|
|
#RUN pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113
|