// Copyright 2024 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // https://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include #include #include #include #include #include #include // Placeholder for internal header, do not modify. #include "gemma/common.h" #include "gemma/gemma.h" #include "gemma/tokenizer.h" #include "util/app.h" // LoaderArgs #include "util/args.h" #include "util/threading.h" #include "hwy/base.h" #include "hwy/contrib/thread_pool/thread_pool.h" int main(int argc, char** argv) { gcpp::LoaderArgs loader(argc, argv); gcpp::InferenceArgs inference(argc, argv); gcpp::AppArgs app(argc, argv); if (gcpp::HasHelp(argc, argv)) { loader.Help(); return 0; } else if (const char* error = loader.Validate()) { loader.Help(); HWY_ABORT("\nInvalid args: %s", error); } // Demonstrate constrained decoding by never outputting certain tokens. std::set reject_tokens; for (int arg = 0; arg < argc; ++arg) { // Find a --reject flag and consume everything after it. if (strcmp(argv[arg], "--reject") == 0) { while (++arg < argc) reject_tokens.insert(atoi(argv[arg])); } } // Instantiate model and KV Cache gcpp::PerClusterPools pools(app.max_clusters, app.max_threads, app.pin); gcpp::Gemma model = gcpp::CreateGemma(loader, pools); gcpp::KVCache kv_cache = gcpp::KVCache::Create(loader.Info().model, inference.prefill_tbatch_size); size_t generated = 0; // Initialize random number generator std::mt19937 gen; std::random_device rd; gen.seed(rd()); // Tokenize instructions. std::string prompt = "Write a greeting to the world."; const std::vector tokens = gcpp::WrapAndTokenize( model.Tokenizer(), loader.Info(), generated, prompt); const size_t prompt_size = tokens.size(); // This callback function gets invoked every time a token is generated auto stream_token = [&generated, &prompt_size, &model](int token, float) { ++generated; if (generated < prompt_size) { // print feedback } else if (token != gcpp::EOS_ID) { std::string token_text; HWY_ASSERT(model.Tokenizer().Decode({token}, &token_text)); std::cout << token_text << std::flush; } return true; }; gcpp::TimingInfo timing_info; gcpp::RuntimeConfig runtime_config = { .max_generated_tokens = 1024, .temperature = 1.0, .verbosity = 0, .gen = &gen, .stream_token = stream_token, .accept_token = [&](int token, float /* prob */) { return !reject_tokens.contains(token); }, }; model.Generate(runtime_config, tokens, 0, kv_cache, timing_info); }