Initial implementation of tensor working compiling

examples/array_multiplication/CMakeLists.txt

@@ -1,4 +1,4 @@
-cmake_minimum_required(VERSION 3.17.0)
+cmake_minimum_required(VERSION 3.4.1)
 project(kompute_array_mult VERSION 0.1.0)
 
 set(CMAKE_CXX_STANDARD 14)
@@ -23,10 +23,6 @@ endif()
 
 find_package(Vulkan REQUIRED)
 
-if(KOMPUTE_OPT_ENABLE_SPDLOG)
-    find_package(spdlog REQUIRED)
-endif()
-
 add_executable(kompute_array_mult
     src/Main.cpp)
 

examples/array_multiplication/README.md

@@ -15,8 +15,11 @@ This project has the option to either import the Kompute dependency relative to
 To build you just need to run the cmake command in this folder as follows:
 
 ```
-cmake \
-    -Bbuild
+cmake -Bbuild/ \
+          -DCMAKE_BUILD_TYPE=Debug                   \
+          -DKOMPUTE_OPT_INSTALL=0                    \
+          -DKOMPUTE_OPT_REPO_SUBMODULE_BUILD=1       \
+          -DKOMPUTE_OPT_ENABLE_SPDLOG=1
 ```
 
 You can pass the following optional parameters based on your desired configuration:

examples/array_multiplication/src/Main.cpp

@@ -7,16 +7,11 @@
 
 int main()
 {
-#if KOMPUTE_ENABLE_SPDLOG
-    spdlog::set_level(
-      static_cast<spdlog::level::level_enum>(SPDLOG_ACTIVE_LEVEL));
-#endif
-
     kp::Manager mgr;
 
-    auto tensorInA = mgr.tensor({ 2.0, 4.0, 6.0 });
-    auto tensorInB = mgr.tensor({ 0.0, 1.0, 2.0 });
-    auto tensorOut = mgr.tensor({ 0.0, 0.0, 0.0 });
+    auto tensorInA = mgr.tensor<float>({ 2.0, 4.0, 6.0 });
+    auto tensorInB = mgr.tensor<float>({ 0.0, 1.0, 2.0 });
+    auto tensorOut = mgr.tensor<float>({ 0.0, 0.0, 0.0 });
 
     std::string shader(R"(
         // The version to use