Bug summary
Title
builtin.cmake + BUILD_SHARED_LIBS=yes + PyTorch backend: linking lmp fails with undefined references from libdeepmd_cc.so to libtorch/libc10
Environment
- deepmd-kit: v3.1.2 (built from source, PyTorch backend)
- Backend: PyTorch only (
ENABLE_PYTORCH=ON, ENABLE_TENSORFLOW=OFF, USE_PT_PYTHON_LIBS=ON)
- PyTorch: 2.10.0+cu126 (pip wheel,
_GLIBCXX_USE_CXX11_ABI=True)
- LAMMPS: stable_29Aug2024
- Integration: built-in mode via
source/lmp/builtin.cmake
- LAMMPS CMake flags:
BUILD_SHARED_LIBS=yes, CMAKE_INSTALL_PREFIX=<same prefix as deepmd>
- OS: Linux (Apptainer container, GCC 13)(NGC pytorch-24.11-py3)
Steps to Reproduce
- Build and install deepmd-kit C++ interface with PyTorch into
$PREFIX (e.g. venv).
- Patch LAMMPS
cmake/CMakeLists.txt:
include(/path/to/deepmd-kit/source/lmp/builtin.cmake)
DeePMD-kit Version
3.1.2
Backend and its version
pytorch2.10+cu126
How did you download the software?
Built from source
Input Files, Running Commands, Error Log, etc.
#!/bin/bash
DEEPMD_SRC=
LAMMPS_SRC=
VENV_PATH=
export CUDA_ROOT=/usr/local/cuda
export TMPDIR=/dev/shm
source $VENV_PATH/bin/activate
# 设置lammps的CMakeLists.txt,添加deepmd-kit的builtin.cmake
grep "include(${DEEPMD_SRC}/source/lmp/builtin.cmake)" ${LAMMPS_SRC}/cmake/CMakeLists.txt
if [ $? -ne 0 ]; then
echo "include(${DEEPMD_SRC}/source/lmp/builtin.cmake)" >> ${LAMMPS_SRC}/cmake/CMakeLists.txt
echo "Set CmakeLists.txt of lammps succeeded"
else
echo "No need to set CmakeLists.txt of lammps"
fi
# 设置torch的cuda架构列表,使用v100的cuda架构
export TORCH_CUDA_ARCH_LIST="7.0"
TORCH_DIR=$(python -c "import torch; print(torch.utils.cmake_prefix_path)")
cd $LAMMPS_SRC
if [ -d build ]; then
rm -rf build
echo "Remove build directory"
fi
mkdir -p build
cd build
cmake \
-D CMAKE_BUILD_TYPE=Debug \
-D CMAKE_INSTALL_PREFIX=$VENV_PATH \
-D CMAKE_PREFIX_PATH="${TORCH_DIR};${CUDA_ROOT};${VENV_PATH}" \
-D CMAKE_CXX_STANDARD=17 \
-D CMAKE_CUDA_STANDARD=17 \
-D CMAKE_CXX_COMPILER=${LAMMPS_SRC}/lib/kokkos/bin/nvcc_wrapper \
-D CMAKE_MPI_C_COMPILER=mpicc \
-D CMAKE_MPI_CXX_COMPILER=mpicxx \
-D BUILD_MPI=ON \
-D FFT=KISS \
-D PKG_MEAM=yes \
-D PKG_REAXFF=yes \
-D GPU_API=CUDA \
-D CUDA_TOOLKIT_ROOT_DIR=$CUDA_ROOT \
-D CUDA_ARCHITECTURES=70 \
-D GPU_ARCH=sm_70 \
-D CUDAToolkit_ROOT=$CUDA_ROOT \
-D CUDA_TOOLKIT_ROOT_DIR=$CUDA_ROOT \
-D Kokkos_ENABLE_CUDA=ON \
-D Kokkos_ARCH_VOLTA70=ON \
-D Kokkos_ENABLE_CUDA_LAMBDA=ON \
-D BUILD_SHARED_LIBS=yes \
${LAMMPS_SRC}/cmake
make -j10 VERBOSE=1
if [ $? -ne 0 ]; then
echo "Make lammps failed"
exit 1
else
echo "Make lammps succeeded"
make install
echo "Install lammps at $VENV_PATH"
fi
Steps to Reproduce
Steps to Reproduce
0. Prerequisites
- Linux with CMake ≥ 3.25, MPI, CUDA toolkit
- Python venv with PyTorch installed (
pip install torch, cxx11 ABI)
- deepmd-kit v3.1.2 source and LAMMPS stable_29Aug2024 source
Verify PyTorch CMake path:
source $PREFIX/bin/activate
python -c "import torch; print(torch.__version__)"
python -c "import torch; print(torch._C._GLIBCXX_USE_CXX11_ABI)" # expect True
export TORCH_DIR=$(python -c "import torch; print(torch.utils.cmake_prefix_path)")
echo $TORCH_DIR
### Further Information, Files, and Links
PyTorch 后端 + CMake builtin + `BUILD_SHARED_LIBS=yes` 时,`builtin.cmake` 只 PUBLIC 链接 `DeePMD::deepmd_c`,而 `deepmd_c→deepmd_cc→torch` 均为 PRIVATE,导致链 `lmp` 时 `libdeepmd_cc.so` 缺少 `libc10`/`libtorch` 符号;需在 LAMMPS 侧显式 `target_link_libraries(lammps PUBLIC ${TORCH_LIBRARIES})` 或由 upstream 传递链接。
https://github.com/deepmodeling/deepmd-kit/discussions/2768
https://github.com/deepmodeling/deepmd-kit/discussions/3568
https://github.com/deepmodeling/deepmd-kit/discussions/340
Bug summary
Title
builtin.cmake+BUILD_SHARED_LIBS=yes+ PyTorch backend: linkinglmpfails with undefined references fromlibdeepmd_cc.sotolibtorch/libc10Environment
ENABLE_PYTORCH=ON,ENABLE_TENSORFLOW=OFF,USE_PT_PYTHON_LIBS=ON)_GLIBCXX_USE_CXX11_ABI=True)source/lmp/builtin.cmakeBUILD_SHARED_LIBS=yes,CMAKE_INSTALL_PREFIX=<same prefix as deepmd>Steps to Reproduce
$PREFIX(e.g. venv).cmake/CMakeLists.txt:DeePMD-kit Version
3.1.2
Backend and its version
pytorch2.10+cu126
How did you download the software?
Built from source
Input Files, Running Commands, Error Log, etc.
Steps to Reproduce
Steps to Reproduce
0. Prerequisites
pip install torch, cxx11 ABI)Verify PyTorch CMake path: