Add tests for the Alpaka CCL algorithm

This PR enables the CCL testing harness for the Alpaka code, allowing us
to make sure it is working correctly.

tests/alpaka/CMakeLists.txt

@@ -4,23 +4,30 @@
 #
 # Mozilla Public License Version 2.0
 
+set(TRACCC_ALPAKA_TEST_SOURCES
+  alpaka_basic.cpp
+  test_cca.cpp
+)
+
 if(alpaka_ACC_GPU_CUDA_ENABLE)
   enable_language(CUDA)
-  set_source_files_properties(alpaka_basic.cpp PROPERTIES LANGUAGE CUDA)
+  set_source_files_properties(${TRACCC_ALPAKA_TEST_SOURCES} PROPERTIES LANGUAGE CUDA)
   include( traccc-compiler-options-cuda )
   list(APPEND DEVICE_LIBRARIES vecmem::cuda)
 elseif(alpaka_ACC_GPU_HIP_ENABLE)
   enable_language(HIP)
-  set_source_files_properties(alpaka_basic.cpp PROPERTIES LANGUAGE HIP)
+  set_source_files_properties(${TRACCC_ALPAKA_TEST_SOURCES} PROPERTIES LANGUAGE HIP)
   list(APPEND DEVICE_LIBRARIES vecmem::hip)
 endif()
 
 traccc_add_test( alpaka
-   alpaka_basic.cpp
+   ${TRACCC_ALPAKA_TEST_SOURCES}
    LINK_LIBRARIES
    GTest::gtest_main
+   traccc_tests_common
    alpaka::alpaka
    vecmem::core
+   traccc::alpaka
    ${DEVICE_LIBRARIES}
 )
 

tests/alpaka/test_cca.cpp

@@ -0,0 +1,84 @@
+/** TRACCC library, part of the ACTS project (R&D line)
+ *
+ * (c) 2022-2024 CERN for the benefit of the ACTS project
+ *
+ * Mozilla Public License Version 2.0
+ */
+
+#include <gtest/gtest.h>
+
+#include <functional>
+#include <vecmem/memory/host_memory_resource.hpp>
+
+#include "tests/cca_test.hpp"
+#include "traccc/alpaka/clusterization/clusterization_algorithm.hpp"
+
+#if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
+#include <vecmem/memory/cuda/device_memory_resource.hpp>
+#include <vecmem/memory/cuda/host_memory_resource.hpp>
+#include <vecmem/utils/cuda/copy.hpp>
+#elif defined(ALPAKA_ACC_GPU_HIP_ENABLED)
+#include <vecmem/memory/hip/device_memory_resource.hpp>
+#include <vecmem/memory/hip/host_memory_resource.hpp>
+#include <vecmem/utils/hip/copy.hpp>
+#endif
+
+namespace {
+
+cca_function_t f = [](const traccc::cell_collection_types::host& cells,
+                      const traccc::cell_module_collection_types::host&
+                          modules) {
+    std::map<traccc::geometry_id, vecmem::vector<traccc::measurement>> result;
+
+    vecmem::host_memory_resource host_mr;
+
+#if defined(ALPAKA_ACC_GPU_CUDA_ENABLED)
+    vecmem::cuda::copy copy;
+    vecmem::cuda::device_memory_resource device_mr;
+#elif defined(ALPAKA_ACC_GPU_HIP_ENABLED)
+    vecmem::hip::copy copy;
+    vecmem::hip::device_memory_resource device_mr;
+#else
+    vecmem::copy copy;
+    vecmem::host_memory_resource device_mr;
+#endif
+
+    traccc::alpaka::clusterization_algorithm cc({device_mr}, copy, 1024);
+
+    traccc::cell_collection_types::buffer cells_buffer{
+        static_cast<traccc::cell_collection_types::buffer::size_type>(
+            cells.size()),
+        device_mr};
+    copy.setup(cells_buffer)->wait();
+    copy(vecmem::get_data(cells), cells_buffer)->wait();
+
+    traccc::cell_module_collection_types::buffer modules_buffer{
+        static_cast<traccc::cell_module_collection_types::buffer::size_type>(
+            modules.size()),
+        device_mr};
+    copy.setup(modules_buffer)->wait();
+    copy(vecmem::get_data(modules), modules_buffer)->wait();
+
+    auto measurements_buffer = cc(cells_buffer, modules_buffer);
+    traccc::measurement_collection_types::host measurements{&host_mr};
+    copy(measurements_buffer, measurements)->wait();
+
+    for (std::size_t i = 0; i < measurements.size(); i++) {
+        result[modules.at(measurements.at(i).module_link).surface_link.value()]
+            .push_back(measurements.at(i));
+    }
+
+    return result;
+};
+}  // namespace
+
+TEST_P(ConnectedComponentAnalysisTests, Run) {
+    test_connected_component_analysis(GetParam());
+}
+
+INSTANTIATE_TEST_SUITE_P(
+    AlpakaFastSvAlgorithm, ConnectedComponentAnalysisTests,
+    ::testing::Combine(
+        ::testing::Values(f),
+        ::testing::ValuesIn(ConnectedComponentAnalysisTests::get_test_files())),
+    ConnectedComponentAnalysisTests::get_test_name);