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+FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
+
+WORKDIR /workspace/test
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update && apt-get install -y python3-pip
+RUN pip install packaging
+
+# 更新 apt 并安装基本软件包
+RUN apt-get update && apt-get install -y \
+    git \
+    python3.9 \
+    python3.9-distutils \
+    python3.9-venv \
+    python3.9-dev \
+    vim \
+    wget \
+    openmpi-bin \
+    libopenmpi-dev \
+    libopenblas-dev \
+    mpich \
+    g++  \
+    libgl1-mesa-glx  \
+    libglib2.0-0
+
+# 设置 python 指向 python3.9
+RUN ln -s /usr/bin/python3.9 /usr/bin/python
+RUN pip install --upgrade pip setuptools
+
+# 下载和安装 CMake
+RUN wget https://github.com/Kitware/CMake/releases/download/v3.14.5/cmake-3.14.5-Linux-x86_64.tar.gz && \
+    tar -xzvf cmake-3.14.5-Linux-x86_64.tar.gz && \
+    find cmake-3.14.5-Linux-x86_64 -type f -not -path '*/man/*' -exec cp -a {} /usr/local/ \; && \
+    rm -rf cmake-3.14.5-Linux-x86_64 && \
+    rm cmake-3.14.5-Linux-x86_64.tar.gz
+
+RUN wget https://bootstrap.pypa.io/get-pip.py && \
+    python3.9 get-pip.py && \
+    rm get-pip.py
+
+# 安装固定版本的依赖库
+RUN pip install pytz==2023.3  --no-deps
+RUN pip install requests==2.28.2  --no-deps
+RUN pip install rich==13.4.2  --no-deps
+RUN pip install tqdm==4.65.0  --no-deps
+
+# 更新 setuptools 和安装 PyTorch 及相关库，兼容 CUDA 11.8
+RUN pip install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu118
+
+# 安装 mmcv-full 和 mmclassification 特定版本
+RUN pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.0/index.html
+
+# 安装 mmengine
+RUN pip install mmengine
+RUN pip install openmim
+RUN mim install mmdet
+RUN mim install mmcv-full
+RUN pip install mmsegmentation
+RUN mim install mmcls
+
+# 设置 LD_LIBRARY_PATH 和 CUDA_HOME 等环境变量
+ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
+ENV CUDA_HOME /usr/local/cuda-11.8
+ENV PATH $PATH:$CUDA_HOME/bin
+
+# 安装 NVIDIA DALI
+#RUN pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110
+
+# 安装 NVIDIA DALI TensorFlow插件
+#RUN pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110
+
+# 克隆并安装NVIDIA Apex
+RUN git clone https://github.com/NVIDIA/apex && \
+    cd apex && \
+    python setup.py install
+# 设置容器启动时默认命令
+CMD ["/bin/bash"]