109 lines
3.9 KiB
Docker
109 lines
3.9 KiB
Docker
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Existing images:
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# --build-arg PYTHON_VERSION=3.7 --build-arg PYTORCH_VERSION=1.7 --build-arg CUDA_VERSION=10.2
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# --build-arg PYTHON_VERSION=3.7 --build-arg PYTORCH_VERSION=1.6 --build-arg CUDA_VERSION=10.2
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# --build-arg PYTHON_VERSION=3.7 --build-arg PYTORCH_VERSION=1.5 --build-arg CUDA_VERSION=10.2
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# --build-arg PYTHON_VERSION=3.7 --build-arg PYTORCH_VERSION=1.4 --build-arg CUDA_VERSION=10.1
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# --build-arg PYTHON_VERSION=3.7 --build-arg PYTORCH_VERSION=1.3 --build-arg CUDA_VERSION=10.1
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ARG CUDNN_VERSION=8
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ARG CUDA_VERSION=10.2
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# FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04
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FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel-ubuntu18.04
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# FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu18.04
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ARG PYTHON_VERSION=3.7
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ARG PYTORCH_VERSION=1.6
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SHELL ["/bin/bash", "-c"]
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# https://techoverflow.net/2019/05/18/how-to-fix-configuring-tzdata-interactive-input-when-building-docker-images/
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ENV DEBIAN_FRONTEND=noninteractive
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ENV TZ=Europe/Prague
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ENV PATH="$PATH:/root/.local/bin"
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ENV CUDA_TOOLKIT_ROOT_DIR="/usr/local/cuda"
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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build-essential \
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pkg-config \
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cmake \
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git \
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wget \
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ca-certificates \
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software-properties-common \
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&& \
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# Install python
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add-apt-repository ppa:deadsnakes/ppa && \
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apt-get install -y \
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python${PYTHON_VERSION} \
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python${PYTHON_VERSION}-distutils \
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python${PYTHON_VERSION}-dev \
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&& \
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update-alternatives --install /usr/bin/python${PYTHON_VERSION%%.*} python${PYTHON_VERSION%%.*} /usr/bin/python${PYTHON_VERSION} 1 && \
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update-alternatives --install /usr/bin/python python /usr/bin/python${PYTHON_VERSION} 1 && \
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# Cleaning
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apt-get autoremove -y && \
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apt-get clean && \
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rm -rf /root/.cache && \
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rm -rf /var/lib/apt/lists/*
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ENV HOROVOD_GPU_OPERATIONS=NCCL
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ENV HOROVOD_WITH_PYTORCH=1
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ENV HOROVOD_WITHOUT_TENSORFLOW=1
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ENV HOROVOD_WITHOUT_MXNET=1
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ENV HOROVOD_WITH_GLOO=1
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ENV HOROVOD_WITHOUT_MPI=1
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#ENV MAKEFLAGS="-j$(nproc)"
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ENV MAKEFLAGS="-j1"
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ENV TORCH_CUDA_ARCH_LIST="3.7;5.0;6.0;7.0;7.5"
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COPY ./requirements.txt requirements.txt
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COPY ./requirements/ ./requirements/
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# conda init
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RUN \
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wget https://bootstrap.pypa.io/get-pip.py --progress=bar:force:noscroll --no-check-certificate && \
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python${PYTHON_VERSION} get-pip.py && \
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rm get-pip.py && \
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# Disable cache
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pip config set global.cache-dir false && \
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# eventualy use pre-release
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#pip install "torch==${PYTORCH_VERSION}.*" --pre && \
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# set particular PyTorch version
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python -c "import re ; fname = 'requirements.txt' ; req = re.sub(r'torch[>=]+[\d\.]+', 'torch==${PYTORCH_VERSION}.*', open(fname).read()) ; open(fname, 'w').write(req)" && \
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# Install all requirements
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pip install -r requirements/devel.txt --upgrade-strategy only-if-needed --use-feature=2020-resolver && \
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rm -rf requirements*
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RUN \
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# install NVIDIA AMP
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git clone https://github.com/NVIDIA/apex && \
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pip install --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./apex && \
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rm -rf apex
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RUN \
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# Show what we have
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pip --version && \
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pip list && \
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python -c "import sys; assert sys.version[:3] == '$PYTHON_VERSION', sys.version" && \
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python -c "import torch; assert torch.__version__[:3] == '$PYTORCH_VERSION', torch.__version__" |