#include #include #include // EXIT_FAILURE #include #include #include #include #include // std::pair #include #include "compression/io.h" // Path #include "gemma/benchmark_helper.h" #include "gemma/common.h" #include "gemma/cross_entropy.h" #include "gemma/gemma.h" #include "util/args.h" #include "hwy/base.h" #include "hwy/timer.h" #include "nlohmann/json.hpp" namespace gcpp { using json = nlohmann::json; class BenchmarkArgs : public ArgsBase { public: BenchmarkArgs(int argc, char* argv[]) { InitAndParse(argc, argv); } Path goldens; Path summarize_text; Path cross_entropy; Path trivia_qa; size_t max_questions; size_t batch_tokens; template void ForEach(const Visitor& visitor) { visitor(goldens.path, "goldens_dir", std::string(""), "Directory containing golden files", 2); visitor(summarize_text.path, "summarize_text", std::string(""), "Path to text file to summarize", 2); visitor(cross_entropy.path, "cross_entropy", std::string(""), "Path to text file to compute cross entropy on", 2); visitor(trivia_qa.path, "trivia_qa", std::string(""), "Path to json file containing TriviaQA entries", 2); visitor(max_questions, "max_questions", (size_t)20, "Maximum number of questions to ask from --trivial_qa input", 2); visitor(batch_tokens, "batch_tokens", (size_t)0, "If not zero, break prompt into batches of this size and compute " "cross entropy on them independently.", 2); } }; std::vector> load_goldens( const std::string& path) { std::ifstream goldens_file(path); if (!goldens_file) { std::cout << "Could not load goldens file: " << path << "\n" << std::flush; return {}; } std::vector> res; std::string query_separator; std::string query; std::string answer_separator; std::string answer; while (std::getline(goldens_file, query_separator) && std::getline(goldens_file, query) && std::getline(goldens_file, answer_separator) && std::getline(goldens_file, answer)) { res.push_back({query, answer}); } return res; } int BenchmarkGoldens(GemmaEnv& env, const std::string& golden_path) { std::vector> queries_answers = load_goldens(golden_path); size_t correct_answers = 0; size_t total_tokens = 0; const double time_start = hwy::platform::Now(); for (auto& [question, expected_answer] : queries_answers) { const auto [answer, token_count] = env.QueryModel(question); total_tokens += token_count; if (answer.find(expected_answer) != std::string::npos) { correct_answers++; } else { std::cout << "Wrong!\n"; std::cout << "Input: " << question << "\n"; std::cout << "Expected: " << expected_answer << "\n"; std::cout << "Output: " << answer << "\n\n" << std::flush; } } LogSpeedStats(time_start, total_tokens); std::cout << "Correct: " << correct_answers << " out of " << queries_answers.size() << "\n" << std::flush; if (correct_answers != queries_answers.size()) { return EXIT_FAILURE; } return EXIT_SUCCESS; } int BenchmarkSummary(GemmaEnv& env, const Path& text) { std::string prompt("Here is some text to summarize:\n"); prompt.append(ReadFileToString(text)); prompt.append("\nSummarize this text.\n"); const double time_start = hwy::platform::Now(); const auto [answer, token_count] = env.QueryModel(prompt); std::cout << answer.substr(prompt.size()) << "\n" << std::flush; LogSpeedStats(time_start, token_count); return EXIT_SUCCESS; } int BenchmarkCrossEntropy(GemmaEnv& env, const Path& text, size_t batch_tokens) { std::string input = ReadFileToString(text); std::vector prompt = env.Tokenize(input); prompt.resize(std::min(env.MaxTokens(), prompt.size())); std::cout << "Number of input tokens: " << prompt.size() << "\n"; const double time_start = hwy::platform::Now(); float total_entropy = 0.0f; size_t total_input_len = 0; if (batch_tokens == 0) batch_tokens = prompt.size(); for (size_t pos = 0; pos < prompt.size(); pos += batch_tokens) { size_t num_tokens = std::min(prompt.size() - pos, batch_tokens); std::vector prompt_slice(prompt.begin() + pos, prompt.begin() + pos + num_tokens); KVCache kv_cache = KVCache::Create(env.ModelType()); float entropy = ComputeCrossEntropy( *env.GetModel(), num_tokens, prompt_slice, kv_cache, env.Verbosity()); total_entropy += entropy; LogSpeedStats(time_start, pos + num_tokens); std::string text_slice = env.StringFromTokens(prompt_slice); total_input_len += text_slice.size(); printf("Total cross entropy: %f [cumulative: %f]\n", entropy, total_entropy); printf("Cross entropy per byte: %f [cumulative: %f]\n", entropy / text_slice.size(), total_entropy / total_input_len); } return EXIT_SUCCESS; } int BenchmarkTriviaQA(GemmaEnv& env, const Path& json_file, size_t max_questions) { std::ifstream trivia_file(json_file.path); if (!trivia_file) { HWY_ABORT("Could not load file %s\n", json_file.path.c_str()); } std::string line; size_t correct_answers = 0; size_t i = 0; while (std::getline(trivia_file, line)) { json data = json::parse(line); std::string q(data["question"]); const auto [answer, token_count] = env.QueryModel(q); std::cout << answer << "\n"; bool correct = false; for (const std::string expected : data["answer"]["aliases"]) { if (answer.find(expected) != std::string::npos) { correct = true; break; } } if (correct) { ++correct_answers; std::cout << "CORRECT\n\n"; } else { std::cout << "WRONG\n\n"; } if (++i >= max_questions) break; } printf("Correct answers: %zu / %zu\n", correct_answers, i); return EXIT_SUCCESS; } } // namespace gcpp int main(int argc, char** argv) { gcpp::GemmaEnv env(argc, argv); gcpp::BenchmarkArgs benchmark_args(argc, argv); if (!benchmark_args.goldens.Empty()) { const std::string golden_path = benchmark_args.goldens.path + "/" + gcpp::ModelString(env.ModelType(), env.ModelTrainingType()) + ".txt"; return BenchmarkGoldens(env, golden_path); } else if (!benchmark_args.summarize_text.Empty()) { return BenchmarkSummary(env, benchmark_args.summarize_text); } else if (!benchmark_args.cross_entropy.Empty()) { return BenchmarkCrossEntropy(env, benchmark_args.cross_entropy, benchmark_args.batch_tokens); } else if (!benchmark_args.trivia_qa.Empty()) { return BenchmarkTriviaQA(env, benchmark_args.trivia_qa, benchmark_args.max_questions); } HWY_ABORT("No benchmark command given."); }