mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 22:03:48 +08:00
1924470e0e
* Update Dockerfile Compatible with the latest version of MMCV and PyTorch for compatibility with Python3.10 * Update Dockerfile for serve Compatible with the latest version of MMCV and PyTorch for compatibility with Python3.10 * Updating to the last version of supported Python * Update Dockerfile * Update get_started.md * Update docs/zh_cn/get_started.md Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com> Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
30 lines
880 B
Docker
30 lines
880 B
Docker
ARG PYTORCH="1.11.0"
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ARG CUDA="11.3"
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ARG CUDNN="8"
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ARG MMCV="1.4.8"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
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ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
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ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
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RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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RUN conda clean --all
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# Install MMCV
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ARG PYTORCH
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ARG CUDA
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ARG MMCV
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RUN ["/bin/bash", "-c", "pip install --no-cache-dir mmcv-full==${MMCV} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${PYTORCH}/index.html"]
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# Install MMSegmentation
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RUN git clone https://github.com/open-mmlab/mmsegmentation.git /mmsegmentation
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WORKDIR /mmsegmentation
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ENV FORCE_CUDA="1"
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RUN pip install -r requirements.txt
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RUN pip install --no-cache-dir -e .
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