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Author SHA1 Message Date
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2025-06-23 16:57:16 +02:00
417844f19b Compile tests but fail linking 2025-06-23 16:42:03 +02:00
10 changed files with 86 additions and 214 deletions

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@@ -1,7 +1,7 @@
cmake_minimum_required(VERSION 3.15)
project(SVMClassifier
VERSION 1.0.0
LANGUAGES CXX
LANGUAGES C CXX
DESCRIPTION "A C++ library for Support Vector Machine classification using PyTorch"
HOMEPAGE_URL "https://gitea.rmontanana.es/rmontanana/SVMClassifier"
)
@@ -49,8 +49,21 @@ FetchContent_Declare(
)
FetchContent_MakeAvailable(Catch2)
# Add external libraries
add_subdirectory(external)
# Fetch libsvm
FetchContent_Declare(
libsvm
GIT_REPOSITORY https://github.com/cjlin1/libsvm.git
GIT_TAG v332
)
FetchContent_MakeAvailable(libsvm)
# Fetch liblinear
FetchContent_Declare(
liblinear
GIT_REPOSITORY https://github.com/cjlin1/liblinear.git
GIT_TAG v249
)
FetchContent_MakeAvailable(liblinear)
# Include directories
include_directories(${CMAKE_SOURCE_DIR}/include)
@@ -71,17 +84,47 @@ set(HEADERS
include/svm_classifier/types.hpp
)
# Create library
add_library(svm_classifier STATIC ${SOURCES} ${HEADERS})
# Add external sources directly to our library
set(EXTERNAL_SOURCES)
# Link libraries - Updated to use object libraries instead of static libraries
# Add libsvm sources
if(EXISTS "${libsvm_SOURCE_DIR}/svm.cpp")
list(APPEND EXTERNAL_SOURCES "${libsvm_SOURCE_DIR}/svm.cpp")
endif()
# Add liblinear sources
if(EXISTS "${liblinear_SOURCE_DIR}/linear.cpp")
list(APPEND EXTERNAL_SOURCES "${liblinear_SOURCE_DIR}/linear.cpp")
endif()
if(EXISTS "${liblinear_SOURCE_DIR}/newton.cpp")
list(APPEND EXTERNAL_SOURCES "${liblinear_SOURCE_DIR}/newton.cpp")
elseif(EXISTS "${liblinear_SOURCE_DIR}/tron.cpp")
list(APPEND EXTERNAL_SOURCES "${liblinear_SOURCE_DIR}/tron.cpp")
endif()
# Add BLAS sources
if(EXISTS "${liblinear_SOURCE_DIR}/blas")
file(GLOB BLAS_C_FILES "${liblinear_SOURCE_DIR}/blas/*.c")
list(APPEND EXTERNAL_SOURCES ${BLAS_C_FILES})
endif()
# Create library with all sources
add_library(svm_classifier STATIC ${SOURCES} ${HEADERS} ${EXTERNAL_SOURCES})
# Set language properties for different file types
foreach(source_file ${EXTERNAL_SOURCES})
if(source_file MATCHES "\\.c$")
set_source_files_properties(${source_file} PROPERTIES LANGUAGE C)
endif()
endforeach()
# Link libraries
target_link_libraries(svm_classifier
PUBLIC
${TORCH_LIBRARIES}
PRIVATE
nlohmann_json::nlohmann_json
$<TARGET_OBJECTS:libsvm_objects>
$<TARGET_OBJECTS:liblinear_objects>
)
# Set include directories
@@ -91,27 +134,11 @@ target_include_directories(svm_classifier
$<INSTALL_INTERFACE:include>
PRIVATE
${CMAKE_CURRENT_SOURCE_DIR}/src
${libsvm_SOURCE_DIR}
${liblinear_SOURCE_DIR}
${liblinear_SOURCE_DIR}/blas
)
# Add include directories from external libraries using variables set by external/CMakeLists.txt
if(LIBSVM_INCLUDE_DIR)
target_include_directories(svm_classifier
PRIVATE ${LIBSVM_INCLUDE_DIR}
)
endif()
if(LIBLINEAR_INCLUDE_DIR)
target_include_directories(svm_classifier
PRIVATE ${LIBLINEAR_INCLUDE_DIR}
)
endif()
if(LIBLINEAR_BLAS_INCLUDE_DIR)
target_include_directories(svm_classifier
PRIVATE ${LIBLINEAR_BLAS_INCLUDE_DIR}
)
endif()
# Compiler-specific options
target_compile_features(svm_classifier PUBLIC cxx_std_17)
@@ -219,7 +246,7 @@ add_subdirectory(tests)
# Add examples
add_subdirectory(examples)
# Installation - Fixed version
# Installation
install(TARGETS svm_classifier
EXPORT SVMClassifierTargets
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}

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@@ -2,7 +2,9 @@
# Basic usage example
add_executable(basic_usage basic_usage.cpp)
target_link_libraries(basic_usage PRIVATE svm_classifier)
target_link_libraries(basic_usage PRIVATE svm_classifier
nlohmann_json::nlohmann_json
)
target_include_directories(basic_usage PRIVATE ${CMAKE_SOURCE_DIR}/include)
target_compile_features(basic_usage PRIVATE cxx_std_17)

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@@ -73,7 +73,7 @@ void basic_svm_example()
std::cout << "Dataset created:" << std::endl;
print_tensor_stats(X_train, "X_train");
std::cout << "Unique classes in y_train: ";
auto unique_classes = torch::unique(y_train);
auto unique_classes = std::get<0>(at::_unique(y_train));
for (int i = 0; i < unique_classes.size(0); ++i) {
std::cout << unique_classes[i].item<int>() << " ";
}

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@@ -1,178 +1,2 @@
# External dependencies CMakeLists.txt - Fixed version with OBJECT libraries
include(FetchContent)
# Set policies for FetchContent
if(POLICY CMP0135)
cmake_policy(SET CMP0135 NEW)
endif()
# Fetch libsvm
FetchContent_Declare(
libsvm
GIT_REPOSITORY https://github.com/cjlin1/libsvm.git
GIT_TAG v332
)
FetchContent_MakeAvailable(libsvm)
# Fetch liblinear
FetchContent_Declare(
liblinear
GIT_REPOSITORY https://github.com/cjlin1/liblinear.git
GIT_TAG v249
)
FetchContent_MakeAvailable(liblinear)
# Build libsvm as OBJECT library to avoid export issues
if(EXISTS "${libsvm_SOURCE_DIR}/svm.cpp")
set(LIBSVM_SOURCES "${libsvm_SOURCE_DIR}/svm.cpp")
add_library(libsvm_objects OBJECT ${LIBSVM_SOURCES})
# Set properties for the object library
target_include_directories(libsvm_objects
PRIVATE
${libsvm_SOURCE_DIR}
)
# Set C++ standard for libsvm
target_compile_features(libsvm_objects PRIVATE cxx_std_17)
# Make the include directory available to parent scope
set(LIBSVM_INCLUDE_DIR ${libsvm_SOURCE_DIR} PARENT_SCOPE)
message(STATUS "libsvm built successfully as object library")
else()
message(WARNING "libsvm source files not found")
# Create empty object library
add_library(libsvm_objects OBJECT)
set(LIBSVM_INCLUDE_DIR "" PARENT_SCOPE)
endif()
# Build liblinear as OBJECT library
set(LIBLINEAR_SOURCES)
# Check for main liblinear source files
if(EXISTS "${liblinear_SOURCE_DIR}/linear.cpp")
list(APPEND LIBLINEAR_SOURCES "${liblinear_SOURCE_DIR}/linear.cpp")
endif()
# Check for optimization files (tron.cpp, newton.cpp, etc.)
if(EXISTS "${liblinear_SOURCE_DIR}/tron.cpp")
list(APPEND LIBLINEAR_SOURCES "${liblinear_SOURCE_DIR}/tron.cpp")
elseif(EXISTS "${liblinear_SOURCE_DIR}/newton.cpp")
list(APPEND LIBLINEAR_SOURCES "${liblinear_SOURCE_DIR}/newton.cpp")
endif()
# Check for BLAS files in blas directory - Fixed to ensure they're included
if(EXISTS "${liblinear_SOURCE_DIR}/blas")
# Explicitly add the required BLAS source files
set(BLAS_FILES
"${liblinear_SOURCE_DIR}/blas/daxpy.c"
"${liblinear_SOURCE_DIR}/blas/ddot.c"
"${liblinear_SOURCE_DIR}/blas/dnrm2.c"
"${liblinear_SOURCE_DIR}/blas/dscal.c"
)
# Check which BLAS files actually exist and add them
foreach(blas_file ${BLAS_FILES})
if(EXISTS ${blas_file})
list(APPEND LIBLINEAR_SOURCES ${blas_file})
message(STATUS "Adding BLAS file: ${blas_file}")
endif()
endforeach()
else()
message(WARNING "BLAS directory not found in liblinear source")
endif()
# Create liblinear object library if we have source files
if(LIBLINEAR_SOURCES)
add_library(liblinear_objects OBJECT ${LIBLINEAR_SOURCES})
# Set properties for the object library
target_include_directories(liblinear_objects
PRIVATE
${liblinear_SOURCE_DIR}
)
# Add blas directory if it exists
if(EXISTS "${liblinear_SOURCE_DIR}/blas")
target_include_directories(liblinear_objects
PRIVATE ${liblinear_SOURCE_DIR}/blas
)
endif()
# Set C++ standard for liblinear
target_compile_features(liblinear_objects PRIVATE cxx_std_17)
# Compiler specific flags
if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")
target_compile_options(liblinear_objects PRIVATE -w) # Suppress warnings
endif()
# Make the include directories available to parent scope
set(LIBLINEAR_INCLUDE_DIR ${liblinear_SOURCE_DIR} PARENT_SCOPE)
if(EXISTS "${liblinear_SOURCE_DIR}/blas")
set(LIBLINEAR_BLAS_INCLUDE_DIR ${liblinear_SOURCE_DIR}/blas PARENT_SCOPE)
endif()
message(STATUS "liblinear built with sources: ${LIBLINEAR_SOURCES}")
else()
# Create minimal liblinear implementation as object library
message(WARNING "liblinear source files not found, creating minimal implementation")
# Create a minimal linear.cpp file
set(MINIMAL_LIBLINEAR_DIR "${CMAKE_CURRENT_BINARY_DIR}/minimal_liblinear")
file(MAKE_DIRECTORY ${MINIMAL_LIBLINEAR_DIR})
# Create minimal header
file(WRITE "${MINIMAL_LIBLINEAR_DIR}/linear.h"
"#pragma once\n"
"extern \"C\" {\n"
"struct feature_node { int index; double value; };\n"
"struct problem { int l, n; double *y; struct feature_node **x; double bias; };\n"
"struct parameter { int solver_type; double eps, C; };\n"
"struct model { struct parameter param; int nr_class, nr_feature; double *w; int *label; double bias; };\n"
"struct model* train(const struct problem *prob, const struct parameter *param);\n"
"double predict(const struct model *model_, const struct feature_node *x);\n"
"void free_and_destroy_model(struct model **model_ptr_ptr);\n"
"}\n"
)
# Create minimal implementation
file(WRITE "${MINIMAL_LIBLINEAR_DIR}/linear.cpp"
"#include \"linear.h\"\n"
"#include <cstdlib>\n"
"#include <cstring>\n"
"struct model* train(const struct problem *prob, const struct parameter *param) {\n"
" auto model = (struct model*)malloc(sizeof(struct model));\n"
" memset(model, 0, sizeof(struct model));\n"
" model->nr_feature = prob->n;\n"
" model->nr_class = 2;\n"
" model->w = (double*)calloc(prob->n, sizeof(double));\n"
" return model;\n"
"}\n"
"double predict(const struct model *model_, const struct feature_node *x) {\n"
" return 1.0; // Dummy prediction\n"
"}\n"
"void free_and_destroy_model(struct model **model_ptr_ptr) {\n"
" if (*model_ptr_ptr) {\n"
" free((*model_ptr_ptr)->w);\n"
" free(*model_ptr_ptr);\n"
" *model_ptr_ptr = nullptr;\n"
" }\n"
"}\n"
)
add_library(liblinear_objects OBJECT "${MINIMAL_LIBLINEAR_DIR}/linear.cpp")
target_include_directories(liblinear_objects PRIVATE ${MINIMAL_LIBLINEAR_DIR})
target_compile_features(liblinear_objects PRIVATE cxx_std_17)
set(LIBLINEAR_INCLUDE_DIR ${MINIMAL_LIBLINEAR_DIR} PARENT_SCOPE)
endif()
# Print summary
message(STATUS "External libraries configured:")
message(STATUS " - libsvm: ${libsvm_SOURCE_DIR}")
message(STATUS " - liblinear: ${liblinear_SOURCE_DIR}")
message(STATUS " - Using OBJECT libraries to avoid export issues")
# External dependencies are now handled directly in the main CMakeLists.txt
# This file is kept for compatibility

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@@ -24,6 +24,7 @@ target_link_libraries(svm_classifier_tests
svm_classifier
Catch2::Catch2WithMain
nlohmann_json::nlohmann_json
# No need to link external libraries as they're already in svm_classifier
)
# Set include directories - Handle external libraries dynamically
@@ -32,6 +33,20 @@ target_include_directories(svm_classifier_tests
${CMAKE_SOURCE_DIR}/include
)
# Add Catch2 include directories explicitly
if(TARGET Catch2::Catch2)
get_target_property(CATCH2_INCLUDE_DIRS Catch2::Catch2 INTERFACE_INCLUDE_DIRECTORIES)
target_include_directories(svm_classifier_tests PRIVATE ${CATCH2_INCLUDE_DIRS})
endif()
# Also add the source directory of Catch2 if available
if(catch2_SOURCE_DIR)
target_include_directories(svm_classifier_tests
PRIVATE
${catch2_SOURCE_DIR}/src
)
endif()
# Add libsvm include directory if available
if(EXISTS "${CMAKE_CURRENT_BINARY_DIR}/../_deps/libsvm-src")
target_include_directories(svm_classifier_tests

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@@ -3,7 +3,8 @@
* @brief Unit tests for DataConverter class
*/
#include <catch2/catch_all.hpp>
#include <catch2/catch_test_macros.hpp>
#include <catch2/catch_approx.hpp>
#include <svm_classifier/data_converter.hpp>
#include <torch/torch.h>

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@@ -3,7 +3,8 @@
* @brief Unit tests for KernelParameters class
*/
#include <catch2/catch_all.hpp>
#include <catch2/catch_test_macros.hpp>
#include <catch2/catch_approx.hpp>
#include <svm_classifier/kernel_parameters.hpp>
#include <nlohmann/json.hpp>

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@@ -7,7 +7,7 @@
*/
#define CATCH_CONFIG_MAIN
#include <catch2/catch_all.hpp>
#include <catch2/catch_test_macros.hpp>
#include <torch/torch.h>
#include <iostream>

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@@ -3,7 +3,8 @@
* @brief Unit tests for multiclass strategy classes
*/
#include <catch2/catch_all.hpp>
#include <catch2/catch_test_macros.hpp>
#include <catch2/catch_approx.hpp>
#include <svm_classifier/multiclass_strategy.hpp>
#include <svm_classifier/kernel_parameters.hpp>
#include <svm_classifier/data_converter.hpp>

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@@ -3,7 +3,8 @@
* @brief Integration tests for SVMClassifier class
*/
#include <catch2/catch_all.hpp>
#include <catch2/catch_test_macros.hpp>
#include <catch2/catch_approx.hpp>
#include <svm_classifier/svm_classifier.hpp>
#include <torch/torch.h>
#include <nlohmann/json.hpp>