mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
ab07c223da
* support latest ppl.nn * fix pplnn for model convertor * fix lint * update memory policy * import algo from buffer * update ppl.cv * use `ppl.cv==0.7.0` * document supported ppl.nn version * skip pplnn dependency when building shared libs
42 lines
1.3 KiB
Docker
42 lines
1.3 KiB
Docker
FROM nvcr.io/nvidia/tensorrt:21.04-py3
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ARG CUDA=11.3
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ARG PYTHON_VERSION=3.8
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ARG TORCH_VERSION=1.10.0
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ARG TORCHVISION_VERSION=0.11.0
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ARG MMCV_VERSION=1.5.0
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ARG PPLCV_VERSION=0.7.0
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ENV FORCE_CUDA="1"
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ENV DEBIAN_FRONTEND=noninteractive
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### update apt and install libs
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RUN apt-get update &&\
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apt-get install -y libopencv-dev --no-install-recommends &&\
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rm -rf /var/lib/apt/lists/*
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RUN curl -fsSL -v -o ~/miniconda.sh -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x ~/miniconda.sh && \
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~/miniconda.sh -b -p /opt/conda && \
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rm ~/miniconda.sh && \
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/opt/conda/bin/conda install -y python=${PYTHON_VERSION} && \
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/opt/conda/bin/conda clean -ya
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### pytorch
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RUN /opt/conda/bin/conda install pytorch==${TORCH_VERSION} torchvision==${TORCHVISION_VERSION} cudatoolkit=${CUDA} -c pytorch -c conda-forge
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ENV PATH /opt/conda/bin:$PATH
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### install mmcv-full
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RUN /opt/conda/bin/pip install mmcv-full==${MMCV_VERSION} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${TORCH_VERSION}/index.html
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WORKDIR /workspace
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### build ppl.cv
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RUN git clone https://github.com/openppl-public/ppl.cv.git &&\
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cd ppl.cv &&\
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git checkout tags/v${PPLCV_VERSION} -b v${PPLCV_VERSION} &&\
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./build.sh cuda
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# RUN ln -sf /opt/conda /home/circleci/project/conda
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ENV TENSORRT_DIR=/workspace/tensorrt
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