// 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 "third_party/gemma_cpp/gemma.h" #include "util/app.h" // LoaderArgs #include "hwy/base.h" #include "hwy/contrib/thread_pool/thread_pool.h" std::vector tokenize(const std::string& prompt_string, const gcpp::GemmaTokenizer* tokenizer) { std::string formatted = "user\n" + prompt_string + "\nmodel\n"; std::vector tokens; HWY_ASSERT(tokenizer->Encode(formatted, &tokens)); tokens.insert(tokens.begin(), BOS_ID); return tokens; } int main(int argc, char** argv) { gcpp::LoaderArgs loader(argc, argv); gcpp::AppArgs app(argc, argv); // Instantiate model and KV Cache hwy::ThreadPool pool(app.num_threads); gcpp::Gemma model = gcpp::CreateGemma(loader, pool); gcpp::KVCache kv_cache = gcpp::KVCache::Create(loader.ModelType()); size_t pos = 0; // KV Cache position // Initialize random number generator std::mt19937 gen; std::random_device rd; gen.seed(rd()); // Tokenize instruction std::vector tokens = tokenize("Write a greeting to the world.", model.Tokenizer()); size_t ntokens = tokens.size(); // This callback function gets invoked every time a token is generated auto stream_token = [&pos, &ntokens, tokenizer = model.Tokenizer()](int token, float) { ++pos; if (pos < ntokens) { // print feedback } else if (token != gcpp::EOS_ID) { std::string token_text; HWY_ASSERT(tokenizer->Decode(std::vector{token}, &token_text)); std::cout << token_text << std::flush; } return true; }; GenerateGemma(model, {.max_tokens = 2048, .max_generated_tokens = 1024, .temperature = 1.0, .verbosity = 0}, tokens, /*KV cache position = */ 0, kv_cache, pool, stream_token, gen); }