biptv3 / code /pointcept_framework /scripts /build_image.sh
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Backup FULL local core code incl. libs/ CUDA ext + all configs
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TORCH_VERSION=2.5.0
CUDA_VERSION=12.4
CUDNN_VERSION=9
ARGS=`getopt -o t:c: -l torch:,cuda:,cudnn: -n "$0" -- "$@"`
[ $? != 0 ] && exit 1
eval set -- "${ARGS}"
while true ; do
case "$1" in
-t | --torch)
TORCH_VERSION=$2
shift 2
;;
-c | --cuda)
CUDA_VERSION=$2
shift 2
;;
--cudnn)
CUDNN_VERSION=$2
shift 2
;;
--)
break
;;
*)
echo "Invalid option: $1"
exit 1
;;
esac
done
CUDA_VERSION_NO_DOT=`echo ${CUDA_VERSION} | tr -d "."`
BASE_TORCH_TAG=${TORCH_VERSION}-cuda${CUDA_VERSION}-cudnn${CUDNN_VERSION}-devel
IMG_TAG=pointcept/pointcept:v1.6.0-pytorch${BASE_TORCH_TAG}
echo "TORCH VERSION: ${TORCH_VERSION}"
echo "CUDA VERSION: ${CUDA_VERSION}"
echo "CUDNN VERSION: ${CUDNN_VERSION}"
cat > ./Dockerfile <<- EOM
FROM pytorch/pytorch:${BASE_TORCH_TAG}
# Fix nvidia-key error issue (NO_PUBKEY A4B469963BF863CC)
RUN rm /etc/apt/sources.list.d/*.list
# Installing apt packages
RUN export DEBIAN_FRONTEND=noninteractive \
&& apt -y update --no-install-recommends \
&& apt -y install --no-install-recommends \
git wget tmux vim zsh build-essential cmake ninja-build libopenblas-dev libsparsehash-dev \
&& apt autoremove -y \
&& apt clean -y \
&& export DEBIAN_FRONTEND=dialog
# Install Pointcept environment
RUN conda install h5py pyyaml tensorboard tensorboardx wandb yapf addict einops scipy plyfile termcolor matplotlib black open3d -c conda-forge -y
RUN pip install --upgrade pip
RUN pip install timm
RUN pip install torch-geometric
RUN pip install torch_scatter torch_sparse torch_cluster -f https://data.pyg.org/whl/torch-${TORCH_VERSION}+cu${CUDA_VERSION_NO_DOT}.html
RUN pip install spconv-cu${CUDA_VERSION_NO_DOT}
RUN pip install git+https://github.com/octree-nn/ocnn-pytorch.git
RUN pip install ftfy regex tqdm
RUN pip install git+https://github.com/openai/CLIP.git
# Build swin3d
RUN TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0" pip install -U git+https://github.com/microsoft/Swin3D.git -v
# Build FlashAttention2
RUN TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0" pip install git+https://github.com/Dao-AILab/flash-attention.git
# Build pointops
RUN git clone https://github.com/Pointcept/Pointcept.git
RUN TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0" pip install Pointcept/libs/pointops -v
# Build pointgroup_ops
RUN TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0" pip install Pointcept/libs/pointgroup_ops -v
EOM
docker build . -f ./Dockerfile -t $IMG_TAG