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Build docker image (pytorch#2542)
Downloading pip dependencies takes 2-4 min, but downloading the new docker image takes +1min from the pytorch one Not sure how downloading all dependencies to a new image takes in comparison to pulling docker image Docker image scripts are copied from pytorch, I tried to remove stuff but there's definitely a lot left over
1 parent 9ceac50 commit 2ad3512

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+344
-118
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‎.ci/docker/Dockerfile

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ARG BASE_IMAGE
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FROM ${BASE_IMAGE}
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ENV DEBIAN_FRONTEND noninteractive
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# Install common dependencies (so that this step can be cached separately)
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COPY ./common/install_base.sh install_base.sh
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RUN bash ./install_base.sh && rm install_base.sh
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COPY ./common/install_docs_reqs.sh install_docs_reqs.sh
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RUN bash ./install_docs_reqs.sh && rm install_docs_reqs.sh
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# Install conda and other packages
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ENV ANACONDA_PYTHON_VERSION=3.10
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ENV CONDA_CMAKE yes
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ENV DOCS yes
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ENV PATH /opt/conda/envs/py_$ANACONDA_PYTHON_VERSION/bin:/opt/conda/bin:$PATH
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COPY ./requirements.txt /opt/conda/
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COPY ./common/install_conda.sh install_conda.sh
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COPY ./common/common_utils.sh common_utils.sh
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RUN bash ./install_conda.sh && rm install_conda.sh common_utils.sh /opt/conda/requirements.txt
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CMD ["bash"]

‎.ci/docker/build.sh

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#!/bin/bash
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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set -exu
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IMAGE_NAME="$1"
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shift
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export UBUNTU_VERSION="20.04"
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export BASE_IMAGE="ubuntu:${UBUNTU_VERSION}"
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echo "Building ${IMAGE_NAME} Docker image"
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docker build \
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--no-cache \
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--progress=plain \
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-f Dockerfile \
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--build-arg BASE_IMAGE="${BASE_IMAGE}" \
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"$@" \
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.

‎.ci/docker/common/common_utils.sh

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#!/bin/bash
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# Work around bug where devtoolset replaces sudo and breaks it.
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as_ci_user() {
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# NB: unsetting the environment variables works around a conda bug
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# https://github.com/conda/conda/issues/6576
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# NB: Pass on PATH and LD_LIBRARY_PATH to sudo invocation
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# NB: This must be run from a directory that the user has access to,
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# works around https://github.com/conda/conda-package-handling/pull/34
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sudo -E -H env -u SUDO_UID -u SUDO_GID -u SUDO_COMMAND -u SUDO_USER env "PATH=$PATH" "LD_LIBRARY_PATH=$LD_LIBRARY_PATH" $*
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}
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conda_install() {
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# Ensure that the install command don't upgrade/downgrade Python
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# This should be called as
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# conda_install pkg1 pkg2 ... [-c channel]
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as_ci_user conda install -q -n py_$ANACONDA_PYTHON_VERSION -y python="$ANACONDA_PYTHON_VERSION" $*
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}
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conda_run() {
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as_ci_user conda run -n py_$ANACONDA_PYTHON_VERSION --no-capture-output $*
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}
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pip_install() {
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as_ci_user conda run -n py_$ANACONDA_PYTHON_VERSION pip install --progress-bar off $*
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}

‎.ci/docker/common/install_base.sh

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#!/bin/bash
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# Based off of https://github.com/pytorch/pytorch/tree/b52e0bf131a4e55cd987176f9c5a8d2ad6783b4f/.ci/docker
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set -ex
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install_ubuntu() {
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# Install common dependencies
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apt-get update
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# TODO: Some of these may not be necessary
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apt-get install -y --no-install-recommends \
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build-essential \
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ca-certificates \
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cmake=3.16* \
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curl \
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git \
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wget \
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sudo \
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vim \
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jq \
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vim \
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unzip \
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gdb \
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rsync \
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libssl-dev \
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p7zip-full \
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libglfw3 \
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libglfw3-dev \
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sox \
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libsox-dev \
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libsox-fmt-all
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# Cleanup package manager
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apt-get autoclean && apt-get clean
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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}
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# Install base packages depending on the base OS
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ID=$(grep -oP '(?<=^ID=).+' /etc/os-release | tr -d '"')
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case "$ID" in
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ubuntu)
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install_ubuntu
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;;
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*)
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echo "Unable to determine OS..."
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exit 1
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;;
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esac

‎.ci/docker/common/install_conda.sh

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#!/bin/bash
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set -ex
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# Optionally install conda
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if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
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BASE_URL="https://repo.anaconda.com/miniconda"
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MAJOR_PYTHON_VERSION=$(echo "$ANACONDA_PYTHON_VERSION" | cut -d . -f 1)
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MINOR_PYTHON_VERSION=$(echo "$ANACONDA_PYTHON_VERSION" | cut -d . -f 2)
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CONDA_FILE="Miniconda3-latest-Linux-x86_64.sh"
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mkdir -p /opt/conda
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source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"
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pushd /tmp
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wget -q "${BASE_URL}/${CONDA_FILE}"
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# NB: Manually invoke bash per https://github.com/conda/conda/issues/10431
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as_ci_user bash "${CONDA_FILE}" -b -f -p "/opt/conda"
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popd
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# NB: Don't do this, rely on the rpath to get it right
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#echo "/opt/conda/lib" > /etc/ld.so.conf.d/conda-python.conf
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#ldconfig
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sed -e 's|PATH="\(.*\)"|PATH="/opt/conda/bin:\1"|g' -i /etc/environment
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export PATH="/opt/conda/bin:$PATH"
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# Ensure we run conda in a directory that the user has write access to
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pushd /opt/conda
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# Prevent conda from updating to 4.14.0, which causes docker build failures
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# See https://hud.pytorch.org/pytorch/pytorch/commit/754d7f05b6841e555cea5a4b2c505dd9e0baec1d
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# Uncomment the below when resolved to track the latest conda update
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# as_ci_user conda update -y -n base conda
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# Install correct Python version
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as_ci_user conda create -n py_$ANACONDA_PYTHON_VERSION -y python="$ANACONDA_PYTHON_VERSION"
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# Use conda cmake in some cases. Conda cmake will be newer than our supported
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# min version (3.5 for xenial and 3.10 for bionic), so we only do it in those
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# following builds that we know should use conda. Specifically, Ubuntu bionic
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# and focal cannot find conda mkl with stock cmake, so we need a cmake from conda
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conda_install cmake
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# Install pip packages
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pip_install -r /opt/conda/requirements.txt
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apt-get update
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apt-get -y install expect-dev
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popd
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fi

‎.ci/docker/common/install_docs_reqs.sh

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#!/bin/bash
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# Based off of https://github.com/pytorch/pytorch/tree/b52e0bf131a4e55cd987176f9c5a8d2ad6783b4f/.ci/docker
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set -ex
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apt-get update
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apt-get install -y gpg-agent
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curl --retry 3 -sL https://deb.nodesource.com/setup_20.x | sudo -E bash -
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sudo apt-get install -y nodejs
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curl --retry 3 -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
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echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
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apt-get update
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apt-get install -y --no-install-recommends yarn
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yarn global add katex --prefix /usr/local
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sudo apt-get -y install doxygen
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apt-get autoclean && apt-get clean
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*

‎.ci/docker/requirements.txt

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# --extra-index-url https://download.pytorch.org/whl/cu117/index.html # Use this to run/publish tutorials against the latest binaries during the RC stage. Comment out after the release. Each release verify the correct cuda version.
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# Refer to ./jenkins/build.sh for tutorial build instructions
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sphinx==5.0.0
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sphinx-gallery==0.11.1
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sphinx_design
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nbsphinx
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docutils==0.16
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sphinx-copybutton
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pypandoc==1.12
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pandocfilters
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markdown
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tqdm==4.66.1
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numpy==1.24.4
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matplotlib
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librosa
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torch
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torchvision
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torchtext
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torchdata
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networkx
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PyHamcrest
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bs4
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awscliv2==2.1.1
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flask
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spacy==3.4.1
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ray[tune]==2.7.2
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tensorboard
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jinja2==3.1.3
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pytorch-lightning
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torchx
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torchrl==0.3.0
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tensordict==0.3.0
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ax-platform
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nbformat>==5.9.2
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datasets
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transformers
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torchmultimodal-nightly # needs to be updated to stable as soon as it's avaialable
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onnx
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onnxscript
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onnxruntime
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importlib-metadata==6.8.0
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# PyTorch Theme
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-e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme
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ipython
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sphinxcontrib.katex
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# to run examples
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boto3
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pandas
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requests
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scikit-image
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scipy==1.11.1
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numba==0.57.1
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pillow==10.2.0
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wget
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gym==0.26.2
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gym-super-mario-bros==7.4.0
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pyopengl
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gymnasium[mujoco]==0.27.0
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timm
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iopath
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pygame==2.1.2
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pycocotools
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semilearn==0.3.2
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torchao==0.0.3
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segment_anything==1.0

‎.github/workflows/build-tutorials.yml

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- { shard: 15, num_shards: 15, runner: "linux.4xlarge.nvidia.gpu" }
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fail-fast: false
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runs-on: ${{ matrix.runner }}
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env:
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DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9"
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CUDA_VERSION: "9"
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steps:
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- name: Setup SSH (Click me for login details)
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uses: pytorch/test-infra/.github/actions/setup-ssh@main
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- name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
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uses: pytorch/test-infra/.github/actions/setup-nvidia@main
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- name: Calculate docker image
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shell: bash
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id: docker-image
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run: |
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set -ex
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# for some reason, pip installs it in a different place than what is looked at in the py file
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pip3 install requests==2.26
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pyTorchDockerImageTag=$(python3 .jenkins/get_docker_tag.py)
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echo "docker-image=${DOCKER_IMAGE}:${pyTorchDockerImageTag}" >> "${GITHUB_OUTPUT}"
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- name: Calculate/build docker image
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id: calculate-docker-image
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uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
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with:
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docker-image-name: tutorials
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- name: Pull docker image
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uses: pytorch/test-infra/.github/actions/pull-docker-image@main
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with:
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docker-image: ${{ steps.docker-image.outputs.docker-image }}
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docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
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- name: Build
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shell: bash
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env:
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DOCKER_IMAGE: ${{ steps.docker-image.outputs.docker-image }}
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DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
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NUM_WORKERS: ${{ matrix.num_shards }}
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WORKER_ID: ${{ matrix.shard }}
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COMMIT_ID: ${{ github.sha }}
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--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
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--tty \
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--detach \
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--user jenkins \
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--shm-size=2gb \
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--name="${container_name}" \
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-v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
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-w /var/lib/jenkins/workspace \
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-v "${GITHUB_WORKSPACE}:/var/lib/workspace" \
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-w /var/lib/workspace \
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"${DOCKER_IMAGE}"
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)
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echo "rm /opt/cache/bin/*" | docker exec -u root -i "${container_name}" bash
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docker exec -t "${container_name}" sh -c ".jenkins/build.sh"
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- name: Teardown Linux
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needs: worker
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runs-on: [self-hosted, linux.2xlarge]
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environment: ${{ github.ref == 'refs/heads/main' && 'pytorchbot-env' || '' }}
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env:
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DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9"
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CUDA_VERSION: "9"
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steps:
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- name: Setup SSH (Click me for login details)
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uses: pytorch/test-infra/.github/actions/setup-ssh@main
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- name: Setup Linux
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uses: pytorch/pytorch/.github/actions/setup-linux@main
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- name: Calculate docker image
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shell: bash
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id: docker-image
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run: |
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set -ex
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# for some reason, pip installs it in a different place than what is looked at in the py file
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pip3 install requests==2.26
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pyTorchDockerImageTag=$(python3 .jenkins/get_docker_tag.py)
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echo "docker-image=${DOCKER_IMAGE}:${pyTorchDockerImageTag}" >> "${GITHUB_OUTPUT}"
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- name: Calculate/build docker image
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id: calculate-docker-image
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uses: pytorch/test-infra/.github/actions/calculate-docker-image@main
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with:
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docker-image-name: tutorials
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- name: Pull docker image
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uses: pytorch/test-infra/.github/actions/pull-docker-image@main
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with:
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docker-image: ${{ steps.docker-image.outputs.docker-image }}
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docker-image: ${{ steps.calculate-docker-image.outputs.docker-image }}
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- name: Build
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shell: bash
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env:
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DOCKER_IMAGE: ${{ steps.docker-image.outputs.docker-image }}
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DOCKER_IMAGE: ${{ steps.calculate-docker-image.outputs.docker-image }}
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NUM_WORKERS: 15
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WORKER_ID: ${{ matrix.shard }}
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COMMIT_ID: ${{ github.sha }}
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--env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
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--tty \
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--detach \
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--user jenkins \
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--name="${container_name}" \
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-v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
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-w /var/lib/jenkins/workspace \
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-v "${GITHUB_WORKSPACE}:/var/lib/workspace" \
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-w /var/lib/workspace \
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"${DOCKER_IMAGE}"
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)
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echo "rm /opt/cache/bin/*" | docker exec -u root -i "${container_name}" bash
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docker exec -u root -i "${container_name}" bash
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docker exec -t "${container_name}" sh -c ".jenkins/build.sh"
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