Implement hyperparameters

CMakeLists.txt

@@ -1,15 +1,29 @@
-cmake_minimum_required(VERSION 3.5)
-project(PyWrap)
+cmake_minimum_required(VERSION 3.20)
 
+project(PyWrap
+  VERSION 0.1.0
+  DESCRIPTION "Wrap Python classifiers."
+  HOMEPAGE_URL "https://github.com/rmontanana/pywrap"
+  LANGUAGES CXX
+)
+
+# Global CMake variables
+# ----------------------
 set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
 
+# CMakes modules
+# --------------
+set(CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake/modules ${CMAKE_MODULE_PATH})
+include(AddGitSubmodule)
+
+# Libraries
+# ---------
 find_package(Python3 3.11...3.11.9 COMPONENTS Interpreter Development REQUIRED)
 find_package(Torch REQUIRED)
 find_package(Boost REQUIRED COMPONENTS python3 numpy3)
 
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
-
 # Temporary patch while find_package(Torch) is not fixed
 file(
         GLOB
@@ -19,5 +33,11 @@ file(
 )
 message(STATUS "TORCH Libraries: ${LIBTORCH_PYTHON}")
 
+# External libraries - dependencies of BayesNet
+# ---------------------------------------------
+add_git_submodule("lib/json")
 add_subdirectory(lib/Files)
+
+# Include directories
+# -------------------
 add_subdirectory(src)