mirror of https://github.com/google/gemma.cpp.git
87 lines
2.7 KiB
C++
87 lines
2.7 KiB
C++
// Copyright 2024 Google LLC
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// SPDX-License-Identifier: Apache-2.0
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <stddef.h>
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#include <iostream>
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#include <random>
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#include <string>
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#include <vector>
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// Placeholder for internal header, do not modify.
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#include "gemma/common.h"
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#include "gemma/gemma.h"
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#include "gemma/tokenizer.h"
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#include "util/app.h" // LoaderArgs
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#include "util/args.h"
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#include "util/threading.h"
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#include "hwy/base.h"
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#include "hwy/contrib/thread_pool/thread_pool.h"
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int main(int argc, char** argv) {
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gcpp::LoaderArgs loader(argc, argv);
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gcpp::InferenceArgs inference(argc, argv);
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gcpp::AppArgs app(argc, argv);
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if (gcpp::HasHelp(argc, argv)) {
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loader.Help();
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return 0;
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} else if (const char* error = loader.Validate()) {
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loader.Help();
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HWY_ABORT("\nInvalid args: %s", error);
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}
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// Instantiate model and KV Cache
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gcpp::PerClusterPools pools(app.max_clusters, app.num_threads);
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gcpp::Gemma model = gcpp::CreateGemma(loader, pools);
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gcpp::KVCache kv_cache =
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gcpp::KVCache::Create(loader.Info().model, inference.prefill_tbatch_size);
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size_t pos = 0; // KV Cache position
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// Initialize random number generator
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std::mt19937 gen;
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std::random_device rd;
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gen.seed(rd());
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// Tokenize instructions.
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std::string prompt = "Write a greeting to the world.";
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const std::vector<int> tokens =
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gcpp::WrapAndTokenize(model.Tokenizer(), loader.Info(), pos, prompt);
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size_t ntokens = tokens.size();
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// This callback function gets invoked every time a token is generated
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auto stream_token = [&pos, &ntokens, &model](int token, float) {
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++pos;
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if (pos < ntokens) {
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// print feedback
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} else if (token != gcpp::EOS_ID) {
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std::string token_text;
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HWY_ASSERT(model.Tokenizer().Decode({token}, &token_text));
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std::cout << token_text << std::flush;
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}
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return true;
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};
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gcpp::TimingInfo timing_info;
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gcpp::RuntimeConfig runtime_config = {
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.max_tokens = 1536,
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.max_generated_tokens = 1024,
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.temperature = 1.0,
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.verbosity = 0,
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.gen = &gen,
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.stream_token = stream_token,
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};
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model.Generate(runtime_config, tokens, 0, kv_cache, timing_info);
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}
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