lightning/dockers/base-cuda/Dockerfile

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# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
ARG CUDA_VERSION=10.2
FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu18.04
2021-11-04 17:26:24 +00:00
ARG PYTHON_VERSION=3.9
ARG PYTORCH_VERSION=1.8
SHELL ["/bin/bash", "-c"]
# https://techoverflow.net/2019/05/18/how-to-fix-configuring-tzdata-interactive-input-when-building-docker-images/
ENV \
DEBIAN_FRONTEND=noninteractive \
TZ=Europe/Prague \
PATH="$PATH:/root/.local/bin" \
CUDA_TOOLKIT_ROOT_DIR="/usr/local/cuda" \
TORCH_CUDA_ARCH_LIST="3.7;5.0;6.0;7.0;7.5" \
MKL_THREADING_LAYER=GNU \
MAKEFLAGS="-j$(nproc)"
# MAKEFLAGS="-j1"
RUN apt-get update -qq --fix-missing && \
apt-get install -y --no-install-recommends \
build-essential \
pkg-config \
cmake \
git \
wget \
curl \
unzip \
ca-certificates \
software-properties-common \
libopenmpi-dev \
&& \
# Install python
add-apt-repository ppa:deadsnakes/ppa && \
apt-get install -y \
python${PYTHON_VERSION} \
python${PYTHON_VERSION}-distutils \
python${PYTHON_VERSION}-dev \
&& \
update-alternatives --install /usr/bin/python${PYTHON_VERSION%%.*} python${PYTHON_VERSION%%.*} /usr/bin/python${PYTHON_VERSION} 1 && \
update-alternatives --install /usr/bin/python python /usr/bin/python${PYTHON_VERSION} 1 && \
# Cleaning
apt-get autoremove -y && \
apt-get clean && \
rm -rf /root/.cache && \
rm -rf /var/lib/apt/lists/*
ENV \
HOROVOD_CUDA_HOME=$CUDA_TOOLKIT_ROOT_DIR \
HOROVOD_BUILD_CUDA_CC_LIST=$TORCH_CUDA_ARCH_LIST \
HOROVOD_GPU_OPERATIONS=NCCL \
HOROVOD_WITH_PYTORCH=1 \
HOROVOD_WITHOUT_TENSORFLOW=1 \
HOROVOD_WITHOUT_MXNET=1 \
HOROVOD_WITH_GLOO=1 \
HOROVOD_WITHOUT_MPI=1
COPY ./requirements.txt requirements.txt
COPY ./requirements/ ./requirements/
RUN \
wget https://bootstrap.pypa.io/get-pip.py --progress=bar:force:noscroll --no-check-certificate && \
python${PYTHON_VERSION} get-pip.py && \
rm get-pip.py && \
# Disable cache
pip config set global.cache-dir false && \
# set particular PyTorch version
python ./requirements/adjust_versions.py requirements.txt ${PYTORCH_VERSION} && \
python ./requirements/adjust_versions.py requirements/extra.txt ${PYTORCH_VERSION} && \
python ./requirements/adjust_versions.py requirements/examples.txt ${PYTORCH_VERSION} && \
# Install all requirements
pip install --user -r requirements/devel.txt --no-cache-dir && \
rm -rf requirements.* requirements/
RUN \
CUDA_VERSION_MAJOR=$(python -c "import torch; print(torch.version.cuda.split('.')[0])") && \
py_ver=$(python -c "print(int('$PYTHON_VERSION'.split('.') >= '3.9'.split('.')))") && \
# install DALI, needed for examples
# todo: waiting for 1.4 - https://github.com/NVIDIA/DALI/issues/3144#issuecomment-877386691
if [ $py_ver -eq "0" ]; then \
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist "nvidia-dali-cuda${CUDA_VERSION_MAJOR}0>1.0" ; \
python -c 'from nvidia.dali.pipeline import Pipeline' ; \
fi
RUN \
# install NVIDIA apex
pip install --user --no-cache-dir --global-option="--cuda_ext" https://github.com/NVIDIA/apex/archive/refs/heads/master.zip && \
python -c "from apex import amp"
RUN \
# install FairScale
pip install fairscale==0.4.0 && \
python -c "import fairscale; print(fairscale.__version__)"
RUN \
# install DeepSpeed
pip install deepspeed==0.5.7 && \
python -c "import deepspeed; print(deepspeed.__version__)"
RUN \
# Show what we have
pip --version && \
pip list && \
python -c "import sys; ver = sys.version_info ; assert f'{ver.major}.{ver.minor}' == '$PYTHON_VERSION', ver" && \
python -c "import torch; assert torch.__version__.startswith('$PYTORCH_VERSION'), torch.__version__" && \
python -c "import horovod.torch"