93 lines
3.0 KiB
Docker
93 lines
3.0 KiB
Docker
FROM nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04 as builder
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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python3-dev \
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python3-pip \
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wget \
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&& \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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WORKDIR /root
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ENV ONEAPI_VERSION=2023.0.0
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ENV MKL_BUILD=25398
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RUN wget -q https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB && \
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apt-key add *.PUB && \
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rm *.PUB && \
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echo "deb https://apt.repos.intel.com/oneapi all main" > /etc/apt/sources.list.d/oneAPI.list && \
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apt-get update && \
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apt-get install -y --no-install-recommends \
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intel-oneapi-mkl-devel=$ONEAPI_VERSION-$MKL_BUILD \
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&& \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN python3 -m pip --no-cache-dir install cmake==3.22.*
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ENV ONEDNN_VERSION=3.0.1
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RUN wget -q https://github.com/oneapi-src/oneDNN/archive/refs/tags/v${ONEDNN_VERSION}.tar.gz && \
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tar xf *.tar.gz && \
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rm *.tar.gz && \
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cd oneDNN-* && \
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cmake -DCMAKE_BUILD_TYPE=Release -DDNNL_LIBRARY_TYPE=STATIC -DDNNL_BUILD_EXAMPLES=OFF -DDNNL_BUILD_TESTS=OFF -DDNNL_ENABLE_WORKLOAD=INFERENCE -DDNNL_ENABLE_PRIMITIVE="CONVOLUTION;REORDER" . && \
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make -j$(nproc) install && \
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cd .. && \
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rm -r oneDNN-*
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COPY third_party third_party
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COPY cli cli
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COPY include include
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COPY src src
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COPY cmake cmake
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COPY python python
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COPY CMakeLists.txt .
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ARG CXX_FLAGS
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ENV CXX_FLAGS=${CXX_FLAGS:-"-msse4.1"}
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ARG CUDA_NVCC_FLAGS
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ENV CUDA_NVCC_FLAGS=${CUDA_NVCC_FLAGS:-"-Xfatbin=-compress-all"}
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ARG CUDA_ARCH_LIST
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ENV CUDA_ARCH_LIST=${CUDA_ARCH_LIST:-"Common"}
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ENV CTRANSLATE2_ROOT=/opt/ctranslate2
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RUN mkdir build && \
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cd build && \
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cmake -DCMAKE_INSTALL_PREFIX=${CTRANSLATE2_ROOT} \
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-DWITH_CUDA=ON -DWITH_CUDNN=ON -DWITH_MKL=ON -DWITH_DNNL=ON -DOPENMP_RUNTIME=COMP \
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-DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS="${CXX_FLAGS}" \
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-DCUDA_NVCC_FLAGS="${CUDA_NVCC_FLAGS}" -DCUDA_ARCH_LIST="${CUDA_ARCH_LIST}" .. && \
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VERBOSE=1 make -j$(nproc) install
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ENV LANG=en_US.UTF-8
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COPY README.md .
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RUN cd python && \
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python3 -m pip --no-cache-dir install -r install_requirements.txt && \
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python3 setup.py bdist_wheel --dist-dir $CTRANSLATE2_ROOT
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FROM nvidia/cuda:11.2.2-base-ubuntu20.04
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# We remove the cuda-compat package because it conflicts with the CUDA Enhanced Compatibility.
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# See e.g. https://github.com/NVIDIA/nvidia-docker/issues/1515
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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libcublas-11-2 \
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libcudnn8=8.1.1.33-1+cuda11.2 \
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libgomp1 \
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python3-pip \
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&& \
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apt-get purge -y cuda-compat-11-2 && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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ENV CTRANSLATE2_ROOT=/opt/ctranslate2
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ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CTRANSLATE2_ROOT/lib
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COPY --from=builder $CTRANSLATE2_ROOT $CTRANSLATE2_ROOT
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RUN python3 -m pip --no-cache-dir install $CTRANSLATE2_ROOT/*.whl && \
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rm $CTRANSLATE2_ROOT/*.whl
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ENTRYPOINT ["/opt/ctranslate2/bin/ct2-translator"]
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