tests: Add initial unit tests for kv caches

So far this only tests constructor logic (and barely that)

Branch: HybridCache

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

Author: gabe-l-hart

tests/CMakeLists.txt

@@ -145,6 +145,7 @@ endif()
 llama_build_and_test(test-log.cpp)
 llama_build_and_test(test-chat-template.cpp)
 llama_build_and_test(test-regex-partial.cpp)
+llama_build_and_test(test-memory.cpp)
 
 # this fails on windows (github hosted runner) due to curl DLL not found (exit code 0xc0000135)
 if (NOT WIN32)

tests/test-memory.cpp

@@ -0,0 +1,133 @@
+#include "../src/llama-arch.h"
+#include "../src/llama-hparams.h"
+#include "../src/llama-impl.h"
+#include "../src/llama-kv-cache.h"
+#include "../src/llama-model.h"
+
+#include "llama.h"
+
+#include <algorithm>
+#include <cstdio>
+#include <memory>
+
+/*- Helpers ------------------------------------------------------------------*/
+
+static std::shared_ptr<llama_model> _make_model() {
+    llama_model_params params;
+    params.tensor_buft_overrides = nullptr;
+    std::shared_ptr<llama_model> model(new llama_model(params));
+    model->hparams = llama_hparams();
+    model->arch = LLM_ARCH_LLAMA;
+    return model;
+}
+
+struct log_scope {
+    const char * name;
+    explicit log_scope(const char * name) : name(name) {
+        LLAMA_LOG_INFO("--------\n");
+        LLAMA_LOG_INFO("START: %s\n", name);
+    }
+    ~log_scope() {
+        LLAMA_LOG_INFO("END: %s\n", name);
+        LLAMA_LOG_INFO("--------\n");
+    }
+};
+
+#define LOG_SCOPE() log_scope __log_scope(__func__)
+
+/*- Unified Cache ------------------------------------------------------------*/
+
+/* Test that the unified cache can be constructed and destructed safely */
+static void test_llama_kv_cache_unified_constructor() {
+    LOG_SCOPE();
+    auto model = _make_model();
+    llama_kv_cache_unified cache(
+        /* model   */ *model,
+        /* type_k  */ GGML_TYPE_F32,
+        /* type_v  */ GGML_TYPE_F16,
+        /* v_trans */ false,
+        /* offload */ false,
+        /* kv_size */ 10,
+        /* padding */ 10
+    );
+}
+
+/*- Recurrent Cache ----------------------------------------------------------*/
+
+/* Test that the recurrent cache can be constructed and destructed safely */
+static void test_llama_kv_cache_recurrent_constructor() {
+    LOG_SCOPE();
+    auto model = _make_model();
+    llama_kv_cache_recurrent cache(
+        /* model   */ *model,
+        /* type_k  */ GGML_TYPE_F32,
+        /* type_v  */ GGML_TYPE_F16,
+        /* offload */ false,
+        /* kv_size */ 10
+    );
+}
+
+/*- Hybrid Cache -------------------------------------------------------------*/
+
+/* Test that the hybrid cache can be constructed and destructed safely */
+static void test_llama_kv_cache_hybrid_constructor() {
+    LOG_SCOPE();
+    auto model = _make_model();
+    model->hparams.n_layer = 4;
+    model->hparams.n_embd_head_k = 4;
+    model->hparams.n_embd_head_v = 4;
+    auto& recurrent_layer_arr = model->hparams.recurrent_layer_arr;
+    recurrent_layer_arr[0] = 1;
+    recurrent_layer_arr[1] = 0;
+    recurrent_layer_arr[2] = 1;
+    recurrent_layer_arr[3] = 0;
+    auto& n_head_kv_arr = model->hparams.n_head_kv_arr;
+    n_head_kv_arr[0] = 16;
+    n_head_kv_arr[1] = 8;
+    n_head_kv_arr[2] = 16;
+    n_head_kv_arr[3] = 8;
+
+    std::unique_ptr<llama_kv_cache_unified> u_cache(
+        new llama_kv_cache_unified(
+            /* model   */ *model,
+            /* type_k  */ GGML_TYPE_F32,
+            /* type_v  */ GGML_TYPE_F16,
+            /* v_trans */ false,
+            /* offload */ false,
+            /* kv_size */ 20,
+            /* padding */ 2
+        )
+    );
+    auto * u_cache_ptr = u_cache.get();
+    std::unique_ptr<llama_kv_cache_recurrent> r_cache (
+        new llama_kv_cache_recurrent(
+            /* model   */ *model,
+            /* type_k  */ GGML_TYPE_F32,
+            /* type_v  */ GGML_TYPE_F16,
+            /* offload */ false,
+            /* kv_size */ 10
+        )
+    );
+    auto * r_cache_ptr = r_cache.get();
+
+    std::vector<llama_kv_cache_hybrid::child_cache> children;
+    children.emplace_back(std::move(u_cache), std::vector<size_t>{1, 3});
+    children.emplace_back(std::move(r_cache), std::vector<size_t>{0, 2});
+
+    llama_kv_cache_hybrid cache(model->hparams, std::move(children));
+
+    GGML_ASSERT(cache.get_child_cache<llama_kv_cache_unified>() == u_cache_ptr);
+    GGML_ASSERT(cache.get_child_cache<llama_kv_cache_recurrent>() == r_cache_ptr);
+}
+
+/*- Main ---------------------------------------------------------------------*/
+
+int main() {
+    // Unified Cache Tests
+    test_llama_kv_cache_unified_constructor();
+    // Recurrent Cache Tests
+    test_llama_kv_cache_recurrent_constructor();
+    // Hybrid Cache Tests
+    test_llama_kv_cache_hybrid_constructor();
+    return 0;
+}