Dockerfile

ARG PYTORCH="1.11.0"
ARG CUDA="11.3"
ARG CUDNN="8"

FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6+PTX 8.9" \
    TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
    CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
    FORCE_CUDA="1" \
    DEBIAN_FRONTEND=noninteractive

# To fix GPG key error when running apt-get update
RUN rm /etc/apt/sources.list.d/cuda.list \
    && rm /etc/apt/sources.list.d/nvidia-ml.list \
    && apt-key del 7fa2af80 \
    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub \
    && 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 ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Install MMCV
RUN pip install --no-cache-dir --upgrade pip wheel setuptools
RUN pip install --no-cache-dir mmcv-full==1.5.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.11.0/index.html

# Install MMDetection
RUN conda clean --all
RUN pip install openmim
RUN pip install timm fairscale yapf==0.40.1 scipy==1.10.1

#ENV HOME=/
ENV APP_PATH=$HOME/AIC2024_Track4_Nota
ENV PYTHONPATH $APP_PATH
WORKDIR $APP_PATH

COPY . $APP_PATH