76 lines
2.7 KiB
C++
76 lines
2.7 KiB
C++
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#include <sentencepiece_processor.h>
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#include <ctranslate2/translator_pool.h>
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#include <ctranslate2/models/sequence_to_sequence.h>
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#include <regex>
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static std::vector<std::string> get_vocabulary_tokens(const ctranslate2::Vocabulary& vocabulary) {
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std::vector<std::string> tokens;
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const size_t size = vocabulary.size();
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tokens.reserve(size);
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for (size_t i = 0; i < size; ++i)
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tokens.emplace_back(vocabulary.to_token(i));
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return tokens;
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}
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int main(int, char* argv[]) {
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const std::string in_file = argv[1];
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const std::string out_file = argv[2];
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const int num_cores = std::stoi(std::string(argv[3]));
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const std::string model_path = "/model";
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const std::string sp_model_path = model_path + "/sp.model";
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const ctranslate2::Device device = ctranslate2::str_to_device("auto");
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ctranslate2::ComputeType compute_type = ctranslate2::ComputeType::INT8;
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size_t num_threads_per_replica = 1;
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size_t num_replicas = 0;
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size_t max_batch_size = 0;
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if (device == ctranslate2::Device::CUDA) {
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num_replicas = 1;
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max_batch_size = 6000;
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compute_type = ctranslate2::ComputeType::FLOAT16;
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} else if (num_cores == 1) {
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num_replicas = 1;
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max_batch_size = 512;
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} else {
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num_replicas = num_cores / 2;
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max_batch_size = 256;
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}
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const auto model = ctranslate2::models::Model::load(model_path, device, 0, compute_type);
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ctranslate2::TranslatorPool pool(num_replicas, num_threads_per_replica, model);
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sentencepiece::SentencePieceProcessor sp_processor;
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auto status = sp_processor.Load(sp_model_path);
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if (!status.ok())
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throw std::invalid_argument("Unable to open SentencePiece model " + sp_model_path);
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const auto* seq2seq_model = dynamic_cast<const ctranslate2::models::SequenceToSequenceModel*>(model.get());
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status = sp_processor.SetVocabulary(get_vocabulary_tokens(seq2seq_model->get_source_vocabulary()));
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if (!status.ok())
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throw std::runtime_error("Failed to set the SentencePiece vocabulary");
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auto tokenizer = [&sp_processor](const std::string& text) {
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std::vector<std::string> tokens;
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sp_processor.Encode(text, &tokens);
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return tokens;
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};
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auto detokenizer = [&sp_processor](const std::vector<std::string>& tokens) {
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std::string text;
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sp_processor.Decode(tokens, &text);
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return std::regex_replace(text, std::regex("<unk>"), "UNK");
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};
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ctranslate2::TranslationOptions options;
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options.beam_size = 1;
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options.max_decoding_length = 150;
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options.max_batch_size = max_batch_size;
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options.batch_type = ctranslate2::BatchType::Tokens;
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options.use_vmap = true;
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options.return_scores = false;
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const size_t read_batch_size = max_batch_size * 16;
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pool.consume_raw_text_file(in_file, out_file, tokenizer, detokenizer, read_batch_size, options);
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return 0;
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}
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