mirror of https://github.com/google/gemma.cpp.git
118 lines
3.8 KiB
C++
118 lines
3.8 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 app_licable 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 <cstdlib>
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#include <cstring>
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#include <iostream>
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#include <random>
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#include <set>
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#include <string>
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#include <vector>
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#include "third_party/gemma_cpp/gemma/gemma.h"
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#include "third_party/gemma_cpp/gemma/tokenizer.h"
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#include "third_party/gemma_cpp/ops/matmul.h"
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#include "third_party/gemma_cpp/util/app.h" // LoaderArgs
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#include "third_party/gemma_cpp/util/threading.h"
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#include "third_party/highway/hwy/base.h"
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class SimplifiedGemma {
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public:
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SimplifiedGemma(const gcpp::LoaderArgs& loader,
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const gcpp::InferenceArgs& inference = gcpp::InferenceArgs(),
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const gcpp::AppArgs& app = gcpp::AppArgs())
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: loader_(loader),
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inference_(inference),
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app_(app),
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topology_(gcpp::CreateTopology(app_)),
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pools_(gcpp::CreatePools(topology_, app_)),
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env_(topology_, pools_),
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model_(gcpp::CreateGemma(loader_, env_)) {
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Init();
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}
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SimplifiedGemma(int argc, char** argv)
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: loader_(argc, argv, /*validate=*/true),
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inference_(argc, argv),
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app_(argc, argv),
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topology_(gcpp::CreateTopology(app_)),
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pools_(gcpp::CreatePools(topology_, app_)),
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env_(topology_, pools_),
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model_(gcpp::CreateGemma(loader_, env_)) {
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Init();
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}
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void Init() {
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// Instantiate model and KV Cache
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kv_cache_ = gcpp::KVCache::Create(model_.GetModelConfig(),
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inference_.prefill_tbatch_size);
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// Initialize random number generator
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std::random_device rd;
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gen_.seed(rd());
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}
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void Generate(std::string& prompt, size_t max_generated_tokens = 1024,
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float temperature = 0.7,
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const std::set<int>& reject_tokens = {}) {
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size_t generated = 0;
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const std::vector<int> tokens = gcpp::WrapAndTokenize(
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model_.Tokenizer(), loader_.Info(), generated, prompt);
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const size_t prompt_size = tokens.size();
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// This callback function gets invoked every time a token is generated
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auto stream_token = [&generated, &prompt_size, this](int token, float) {
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++generated;
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if (generated < prompt_size) {
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// print feedback
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} else if (!this->model_.GetModelConfig().IsEOS(token)) {
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std::string token_text;
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HWY_ASSERT(this->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_generated_tokens = max_generated_tokens,
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.temperature = temperature,
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.gen = &gen_,
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.verbosity = 0,
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.stream_token = stream_token,
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.accept_token =
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[&](int token, float /* prob */) {
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return !reject_tokens.contains(token);
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},
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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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~SimplifiedGemma() = default;
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private:
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gcpp::LoaderArgs loader_;
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gcpp::InferenceArgs inference_;
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gcpp::AppArgs app_;
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gcpp::BoundedTopology topology_;
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gcpp::NestedPools pools_;
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gcpp::MatMulEnv env_;
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gcpp::Gemma model_;
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gcpp::KVCache kv_cache_;
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std::mt19937 gen_;
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std::string validation_error_;
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}; |