mirror of https://github.com/google/gemma.cpp.git
84 lines
2.8 KiB
C++
84 lines
2.8 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 <iostream>
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// copybara:import_next_line:gemma_cpp
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#include "gemma.h"
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// copybara:import_next_line:gemma_cpp
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#include "util/app.h" // LoaderArgs
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// copybara:import_next_line:gemma_cpp
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#include "util/args.h"
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#include "hwy/contrib/thread_pool/thread_pool.h"
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std::vector<int> tokenize(
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const std::string& prompt_string,
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const sentencepiece::SentencePieceProcessor* tokenizer) {
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std::string formatted = "<start_of_turn>user\n" + prompt_string +
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"<end_of_turn>\n<start_of_turn>model\n";
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std::vector<int> tokens;
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HWY_ASSERT(tokenizer->Encode(formatted, &tokens).ok());
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tokens.insert(tokens.begin(), 2); // BOS token
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return tokens;
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}
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int main(int argc, char** argv) {
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gcpp::LoaderArgs loader(argc, argv);
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// Rough heuristic for the number of threads to use
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size_t num_threads = static_cast<size_t>(std::clamp(
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static_cast<int>(std::thread::hardware_concurrency()) - 2, 1, 18));
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hwy::ThreadPool pool(num_threads);
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// Instantiate model and KV Cache
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gcpp::Gemma model(loader.tokenizer, loader.compressed_weights,
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loader.ModelType(), pool);
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auto kv_cache = CreateKVCache(loader.ModelType());
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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 instruction
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std::vector<int> tokens =
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tokenize("Write a greeting to the world.", model.Tokenizer());
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size_t ntokens = tokens.size();
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// This callback function gets invoked everytime a token is generated
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auto stream_token = [&pos, &gen, &ntokens, tokenizer = model.Tokenizer()](
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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(tokenizer->Decode(std::vector<int>{token}, &token_text).ok());
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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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GenerateGemma(model,
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{.max_tokens = 2048,
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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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tokens, /*KV cache position = */ 0, kv_cache, pool,
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stream_token, gen);
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std::cout << std::endl;
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}
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