Decouple gemma constructor from loader args, update hello_world example, add convenience version of constructor (no uncompressed weights)

examples/hello_world/CMakeLists.txt

@@ -22,7 +22,18 @@ FetchContent_Declare(highway GIT_REPOSITORY https://github.com/google/highway.gi
 FetchContent_MakeAvailable(highway)
 FetchContent_Declare(sentencepiece GIT_REPOSITORY https://github.com/google/sentencepiece GIT_TAG 53de76561cfc149d3c01037f0595669ad32a5e7c)
 FetchContent_MakeAvailable(sentencepiece)
-FetchContent_Declare(gemma GIT_REPOSITORY https://github.com/google/gemma.cpp.git GIT_TAG e781007836ec034236e90cc4d313d0a8c481bce6)
+
+
+# Allow for both local and remote building)
+option(BUILD_MODE "'local' or 'remote' git fetch for builds")
+if (NOT BUILD_MODE)
+  set(BUILD_MODE "remote")
+endif()
+if (BUILD_MODE STREQUAL "local")
+  FetchContent_Declare(gemma SOURCE_DIR ../../..)
+else()
+  FetchContent_Declare(gemma GIT_REPOSITORY https://github.com/google/gemma.cpp.git GIT_TAG 42e53e2da89f80dc46399c7037fbbfb15cdc3de3)
+endif()
 FetchContent_MakeAvailable(gemma)
 
 if(NOT CMAKE_BUILD_TYPE)

examples/hello_world/run.cc

@@ -22,15 +22,17 @@ std::vector<int> tokenize(
 int main(int argc, char** argv) {
   gcpp::LoaderArgs loader(argc, argv);
 
-  // A rough heuristic number of threads to use
+  // Rough heuristic for the number of threads to use
   size_t num_threads = static_cast<size_t>(std::clamp(
       static_cast<int>(std::thread::hardware_concurrency()) - 2, 1, 18));
   hwy::ThreadPool pool(num_threads);
 
-  // Instantiate model
-  gcpp::Gemma model(loader, pool);
+  // Instantiate model and KV Cache
+  gcpp::Gemma model(loader.tokenizer, loader.cache, loader.ModelType(), pool);
+  auto kv_cache = CreateKVCache(loader.ModelType());
+  size_t pos = 0;  // KV Cache position
 
-  // Setup random number generator
+  // Initialize random number generator
   std::mt19937 gen;
   std::random_device rd;
   gen.seed(rd());
@@ -39,7 +41,6 @@ int main(int argc, char** argv) {
   std::vector<int> tokens =
       tokenize("Write a greeting to the world.", model.Tokenizer());
   size_t ntokens = tokens.size();
-  size_t pos = 0;
 
   // Callback
   auto stream_token = [&pos, &gen, &ntokens, tokenizer = model.Tokenizer()](
@@ -60,6 +61,7 @@ int main(int argc, char** argv) {
                  .max_generated_tokens = 1024,
                  .temperature = 1.0,
                  .verbosity = 0},
-                tokens, /*KV cache position = */ 0, pool, stream_token, gen);
+                tokens, /*KV cache position = */ 0, kv_cache, pool,
+                stream_token, gen);
   std::cout << std::endl;
 }

gemma.cc

@@ -285,7 +285,6 @@ struct GemmaImpl : public GemmaInterface {
                 int verbosity) override;
 
   std::unique_ptr<sentencepiece::SentencePieceProcessor> tokenizer;
-
   hwy::AlignedFreeUniquePtr<uint8_t[]> compressed_weights;
   hwy::AlignedUniquePtr<Activations<Config, kPrefillBatchSize>> prefill;
   hwy::AlignedUniquePtr<Activations<Config, 1>> state;
@@ -803,15 +802,15 @@ void GemmaImpl<ConfigGemma7B>::Generate(
    kv_cache, pool, inner_pool, stream_token, accept_token, gen, verbosity);
 }
 
-Gemma::Gemma(const LoaderArgs& args, hwy::ThreadPool& pool) {
-  const Model model_type = args.ModelType();
-  model_training = args.ModelTraining();
+Gemma::Gemma(const Path& tokenizer_path, const Path& compressed_weights_path,
+             const Path& weights_path, Model model_type,
+             hwy::ThreadPool& pool) {
   PROFILER_ZONE("Startup.tokenizer");
   std::unique_ptr<sentencepiece::SentencePieceProcessor> tokenizer =
       std::make_unique<sentencepiece::SentencePieceProcessor>();
-  HWY_ASSERT(tokenizer->Load(args.tokenizer.path).ok());
+  HWY_ASSERT(tokenizer->Load(tokenizer_path.path).ok());
   auto compressed_weights = HWY_DYNAMIC_DISPATCH(GetCompressedWeightsT)(
-      args.ModelType(), args.model, args.cache, pool);
+      model_type, weights_path, compressed_weights_path, pool);
   switch (model_type) {
     case Model::GEMMA_2B:
       impl_.reset(
@@ -825,6 +824,12 @@ Gemma::Gemma(const LoaderArgs& args, hwy::ThreadPool& pool) {
       HWY_ABORT("Model type %d unknown.", static_cast<int>(model_type));
   }
 }
+
+Gemma::Gemma(const Path& tokenizer_path, const Path& compressed_weights_path,
+             Model model_type, hwy::ThreadPool& pool)
+    : Gemma(tokenizer_path, compressed_weights_path, Path{""}, model_type,
+            pool) {}
+
 Gemma::~Gemma() = default;  // after GemmaInterface is defined
 
 const sentencepiece::SentencePieceProcessor* Gemma::Tokenizer() const {

gemma.h

@@ -192,7 +192,10 @@ struct InferenceArgs : public ArgsBase<InferenceArgs> {
 struct GemmaInterface;
 
 struct Gemma {
-  Gemma(const LoaderArgs& args, hwy::ThreadPool& pool);
+  Gemma(const Path& tokenizer_path, const Path& compressed_weights_path,
+        const Path& weights_path, Model model_type, hwy::ThreadPool& pool);
+  Gemma(const Path& tokenizer_path, const Path& compressed_weights_path,
+        Model model_type, hwy::ThreadPool& pool);
   ~Gemma();  // must be defined after GemmaInterface's dtor is defined.
   const sentencepiece::SentencePieceProcessor* Tokenizer() const;
   std::unique_ptr<GemmaInterface> impl_;

run.cc

@@ -235,7 +235,7 @@ void Run(LoaderArgs& loader, InferenceArgs& inference, AppArgs& app) {
              [](uint64_t /*task*/, size_t thread) { PinThreadToCore(thread); });
   }
 
-  gcpp::Gemma model(loader, pool);
+  gcpp::Gemma model(loader.tokenizer, loader.cache, loader.ModelType(), pool);
 
   auto kv_cache = CreateKVCache(loader.ModelType());