cmake build

CMakeLists.txt

+cmake_minimum_required(VERSION 3.0)
+project(torchscatter)
+set(CMAKE_CXX_STANDARD 14)
+set(TORCHSCATTER_VERSION 2.0.4)
+
+option(WITH_CUDA "Enable CUDA support" OFF)
+
+if(WITH_CUDA)
+  enable_language(CUDA)
+  add_definitions(-D__CUDA_NO_HALF_OPERATORS__)
+endif()
+
+find_package(Python3 COMPONENTS Development)
+find_package(Torch REQUIRED)
+
+file(GLOB HEADERS csrc/scatter.h)
+file(GLOB OPERATOR_SOURCES csrc/cpu/*.h csrc/cpu/*.cpp csrc/*.cpp)
+if(WITH_CUDA)
+  file(GLOB OPERATOR_SOURCES ${OPERATOR_SOURCES} csrc/cuda/*.h csrc/cuda/*.cu)
+endif()
+
+add_library(${PROJECT_NAME} SHARED ${OPERATOR_SOURCES})
+target_link_libraries(${PROJECT_NAME} PRIVATE ${TORCH_LIBRARIES} Python3::Python)
+set_target_properties(${PROJECT_NAME} PROPERTIES EXPORT_NAME TorchScatter)
+
+target_include_directories(${PROJECT_NAME} INTERFACE
+  $<BUILD_INTERFACE:${HEADERS}>
+  $<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>)
+
+include(GNUInstallDirs)
+include(CMakePackageConfigHelpers)
+
+set(TORCHSCATTER_CMAKECONFIG_INSTALL_DIR "share/cmake/TorchScatter" CACHE STRING "install path for TorchScatterConfig.cmake")
+
+configure_package_config_file(cmake/TorchScatterConfig.cmake.in
+  "${CMAKE_CURRENT_BINARY_DIR}/TorchScatterConfig.cmake"
+  INSTALL_DESTINATION ${TORCHSCATTER_CMAKECONFIG_INSTALL_DIR})
+
+write_basic_package_version_file(${CMAKE_CURRENT_BINARY_DIR}/TorchScatterConfigVersion.cmake
+  VERSION ${TORCHSCATTER_VERSION}
+  COMPATIBILITY AnyNewerVersion)
+
+install(FILES ${CMAKE_CURRENT_BINARY_DIR}/TorchScatterConfig.cmake
+  ${CMAKE_CURRENT_BINARY_DIR}/TorchScatterConfigVersion.cmake
+  DESTINATION ${TORCHSCATTER_CMAKECONFIG_INSTALL_DIR})
+
+install(TARGETS ${PROJECT_NAME}
+  EXPORT TorchScatterTargets
+  LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
+  )
+
+install(EXPORT TorchScatterTargets
+  NAMESPACE TorchScatter::
+  DESTINATION ${TORCHSCATTER_CMAKECONFIG_INSTALL_DIR})
+
+install(FILES ${HEADERS} DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/${PROJECT_NAME})
+install(FILES
+  csrc/cpu/scatter_cpu.h
+  csrc/cpu/segment_coo_cpu.h
+  csrc/cpu/segment_csr_cpu.h
+  DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/${PROJECT_NAME}/cpu)
+if(WITH_CUDA)
+  install(FILES
+  csrc/cpu/scatter_cuda.h
+  csrc/cpu/segment_coo_cuda.h
+  csrc/cpu/segment_csr_cuda.h
+    DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/${PROJECT_NAME}/cuda)
+endif()

README.md

@@ -110,3 +110,16 @@ tensor([[5, 5, 3, 4, 0, 1]
 ```
 python setup.py test
 ```
+
+## C++ API
+
+`torch-scatter` also offers a C++ API that contains C++ equivalent of python models.
+
+```
+mkdir build
+cd build
+# Add -DWITH_CUDA=on support for the CUDA if needed
+cmake ..
+make
+make install
+```

cmake/TorchScatterConfig.cmake.in

+# TorchScatterConfig.cmake
+# --------------------
+#
+# Exported targets:: Scatter
+#
+
+@PACKAGE_INIT@
+
+set(PN TorchScatter)
+set(${PN}_INCLUDE_DIR "${PACKAGE_PREFIX_DIR}/@CMAKE_INSTALL_INCLUDEDIR@")
+set(${PN}_LIBRARY "")
+set(${PN}_DEFINITIONS USING_${PN})
+
+check_required_components(${PN})
+
+
+if(NOT (CMAKE_VERSION VERSION_LESS 3.0))
+#-----------------------------------------------------------------------------
+# Don't include targets if this file is being picked up by another
+# project which has already built this as a subproject
+#-----------------------------------------------------------------------------
+if(NOT TARGET ${PN}::TorchScatter)
+include("${CMAKE_CURRENT_LIST_DIR}/${PN}Targets.cmake")
+
+if(NOT TARGET torch_library)
+find_package(Torch REQUIRED)
+endif()
+if(NOT TARGET Python3::Python)
+find_package(Python3 COMPONENTS Development)
+endif()
+target_link_libraries(TorchScatter::TorchScatter INTERFACE ${TORCH_LIBRARIES} Python3::Python)
+
+if(@WITH_CUDA@)
+  target_compile_definitions(TorchScatter::TorchScatter INTERFACE WITH_CUDA)
+endif()
+
+endif()
+endif()

csrc/scatter.h

+#pragma once
+
+#include <torch/extension.h>
+
+int64_t cuda_version();
+
+torch::Tensor scatter_sum(torch::Tensor src, torch::Tensor index, int64_t dim,
+                          torch::optional<torch::Tensor> optional_out,
+                          torch::optional<int64_t> dim_size);
+
+torch::Tensor scatter_mean(torch::Tensor src, torch::Tensor index, int64_t dim,
+                           torch::optional<torch::Tensor> optional_out,
+                           torch::optional<int64_t> dim_size);
+
+std::tuple<torch::Tensor, torch::Tensor>
+scatter_min(torch::Tensor src, torch::Tensor index, int64_t dim,
+            torch::optional<torch::Tensor> optional_out,
+            torch::optional<int64_t> dim_size);
+
+std::tuple<torch::Tensor, torch::Tensor>
+scatter_max(torch::Tensor src, torch::Tensor index, int64_t dim,
+            torch::optional<torch::Tensor> optional_out,
+            torch::optional<int64_t> dim_size);
+
+torch::Tensor segment_sum_coo(torch::Tensor src, torch::Tensor index,
+                              torch::optional<torch::Tensor> optional_out,
+                              torch::optional<int64_t> dim_size);
+
+torch::Tensor segment_mean_coo(torch::Tensor src, torch::Tensor index,
+                               torch::optional<torch::Tensor> optional_out,
+                               torch::optional<int64_t> dim_size);
+
+std::tuple<torch::Tensor, torch::Tensor>
+segment_min_coo(torch::Tensor src, torch::Tensor index,
+                torch::optional<torch::Tensor> optional_out,
+                torch::optional<int64_t> dim_size);
+
+std::tuple<torch::Tensor, torch::Tensor>
+segment_max_coo(torch::Tensor src, torch::Tensor index,
+                torch::optional<torch::Tensor> optional_out,
+                torch::optional<int64_t> dim_size);
+
+torch::Tensor gather_coo(torch::Tensor src, torch::Tensor index,
+                         torch::optional<torch::Tensor> optional_out);
+
+torch::Tensor segment_sum_csr(torch::Tensor src, torch::Tensor indptr,
+                              torch::optional<torch::Tensor> optional_out);
+
+torch::Tensor segment_mean_csr(torch::Tensor src, torch::Tensor indptr,
+                               torch::optional<torch::Tensor> optional_out);
+
+std::tuple<torch::Tensor, torch::Tensor>
+segment_min_csr(torch::Tensor src, torch::Tensor indptr,
+                torch::optional<torch::Tensor> optional_out);
+
+std::tuple<torch::Tensor, torch::Tensor>
+segment_max_csr(torch::Tensor src, torch::Tensor indptr,
+                torch::optional<torch::Tensor> optional_out);
+
+torch::Tensor gather_csr(torch::Tensor src, torch::Tensor indptr,
+                         torch::optional<torch::Tensor> optional_out);