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Seg_All_In_One_MMSeg/docker/Dockerfile

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+ARG PYTORCH="1.11.0"
+ARG CUDA="11.3"
+ARG CUDNN="8"
+ARG MMCV="2.0.1"
+
+FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
+
+ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
+ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
+ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
+
+# To fix GPG key error when running apt-get update
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
+RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
+RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-dev  \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN conda clean --all
+
+# Install MMCV
+ARG PYTORCH
+ARG CUDA
+ARG MMCV
+RUN ["/bin/bash", "-c", "pip install openmim"]
+RUN ["/bin/bash", "-c", "mim install mmengine"]
+RUN ["/bin/bash", "-c", "mim install mmcv==${MMCV}"]
+
+# Install MMSegmentation
+RUN git clone -b main https://github.com/open-mmlab/mmsegmentation.git /mmsegmentation
+WORKDIR /mmsegmentation
+ENV FORCE_CUDA="1"
+RUN pip install -r requirements.txt
+RUN pip install --no-cache-dir -e .