Files
pytorch/Dockerfile
Felix Abecassis 0c3bae6a89 docker: add environment variable PYTORCH_VERSION (#50154)
Summary:
The aim is being able to inspect a container image and determine immediately
which version of pytorch it contains.

Closes https://github.com/pytorch/pytorch/issues/48324

Signed-off-by: Felix Abecassis <fabecassis@nvidia.com>

seemethere PTAL.
As you requested in https://github.com/pytorch/pytorch/issues/48324#issuecomment-754237156, I'm submitting the patch. But I could only do limited testing as I'm not sure these Makefile/Dockerfile are used for pushing the Docker Hub images (since the Makefile tags the image with a `v` prefix for the version, as in: `pytorch:v1.7.1`, but Docker Hub images don't have this prefix).

Also on the master branch we currently have the following:
```
$ git describe --tags
v1.4.0a0-11171-g68a6e46379
```
So it's a little off, but it behaves as expected on the `release/1.7` branch.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/50154

Reviewed By: walterddr

Differential Revision: D25828491

Pulled By: seemethere

fbshipit-source-id: 500ec96cb5f5da1321610002d5e3678f4b0b94b5
2021-01-07 14:12:54 -08:00

81 lines
2.8 KiB
Docker

# syntax = docker/dockerfile:experimental
#
# NOTE: To build this you will need a docker version > 18.06 with
# experimental enabled and DOCKER_BUILDKIT=1
#
# If you do not use buildkit you are not going to have a good time
#
# For reference:
# https://docs.docker.com/develop/develop-images/build_enhancements/
ARG BASE_IMAGE=ubuntu:18.04
ARG PYTHON_VERSION=3.8
FROM ${BASE_IMAGE} as dev-base
RUN --mount=type=cache,id=apt-dev,target=/var/cache/apt \
apt-get update && apt-get install -y --no-install-recommends \
build-essential \
ca-certificates \
ccache \
cmake \
curl \
git \
libjpeg-dev \
libpng-dev && \
rm -rf /var/lib/apt/lists/*
RUN /usr/sbin/update-ccache-symlinks
RUN mkdir /opt/ccache && ccache --set-config=cache_dir=/opt/ccache
ENV PATH /opt/conda/bin:$PATH
FROM dev-base as conda
ARG PYTHON_VERSION=3.8
RUN curl -fsSL -v -o ~/miniconda.sh -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda install -y python=${PYTHON_VERSION} conda-build pyyaml numpy ipython&& \
/opt/conda/bin/conda clean -ya
FROM dev-base as submodule-update
WORKDIR /opt/pytorch
COPY . .
RUN git submodule update --init --recursive
FROM conda as build
WORKDIR /opt/pytorch
COPY --from=conda /opt/conda /opt/conda
COPY --from=submodule-update /opt/pytorch /opt/pytorch
RUN --mount=type=cache,target=/opt/ccache \
TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1 7.0+PTX 8.0" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
python setup.py install
FROM conda as conda-installs
ARG PYTHON_VERSION=3.8
ARG CUDA_VERSION=11.0
ARG INSTALL_CHANNEL=pytorch-nightly
ENV CONDA_OVERRIDE_CUDA=${CUDA_VERSION}
RUN /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -y python=${PYTHON_VERSION} pytorch torchvision torchtext "cudatoolkit=${CUDA_VERSION}" && \
/opt/conda/bin/conda clean -ya
RUN /opt/conda/bin/pip install torchelastic
FROM ${BASE_IMAGE} as official
ARG PYTORCH_VERSION
LABEL com.nvidia.volumes.needed="nvidia_driver"
RUN --mount=type=cache,id=apt-final,target=/var/cache/apt \
apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
libjpeg-dev \
libpng-dev && \
rm -rf /var/lib/apt/lists/*
COPY --from=conda-installs /opt/conda /opt/conda
ENV PATH /opt/conda/bin:$PATH
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
ENV PYTORCH_VERSION ${PYTORCH_VERSION}
WORKDIR /workspace
FROM official as dev
# Should override the already installed version from the official-image stage
COPY --from=build /opt/conda /opt/conda