320 lines
12 KiB
C++
320 lines
12 KiB
C++
// sherpa-onnx/csrc/offline-recognizer-impl.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-recognizer-impl.h"
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#include <string>
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#include "onnxruntime_cxx_api.h" // NOLINT
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/offline-recognizer-ctc-impl.h"
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#include "sherpa-onnx/csrc/offline-recognizer-paraformer-impl.h"
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#include "sherpa-onnx/csrc/offline-recognizer-transducer-impl.h"
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#include "sherpa-onnx/csrc/offline-recognizer-transducer-nemo-impl.h"
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#include "sherpa-onnx/csrc/offline-recognizer-whisper-impl.h"
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#include "sherpa-onnx/csrc/onnx-utils.h"
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#include "sherpa-onnx/csrc/text-utils.h"
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namespace sherpa_onnx {
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std::unique_ptr<OfflineRecognizerImpl> OfflineRecognizerImpl::Create(
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const OfflineRecognizerConfig &config) {
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if (!config.model_config.model_type.empty()) {
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const auto &model_type = config.model_config.model_type;
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if (model_type == "transducer") {
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return std::make_unique<OfflineRecognizerTransducerImpl>(config);
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} else if (model_type == "nemo_transducer") {
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return std::make_unique<OfflineRecognizerTransducerNeMoImpl>(config);
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} else if (model_type == "paraformer") {
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return std::make_unique<OfflineRecognizerParaformerImpl>(config);
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} else if (model_type == "nemo_ctc" || model_type == "tdnn" ||
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model_type == "zipformer2_ctc" || model_type == "wenet_ctc" ||
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model_type == "telespeech_ctc") {
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return std::make_unique<OfflineRecognizerCtcImpl>(config);
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} else if (model_type == "whisper") {
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return std::make_unique<OfflineRecognizerWhisperImpl>(config);
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} else {
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SHERPA_ONNX_LOGE(
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"Invalid model_type: %s. Trying to load the model to get its type",
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model_type.c_str());
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}
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}
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Ort::Env env(ORT_LOGGING_LEVEL_ERROR);
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Ort::SessionOptions sess_opts;
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sess_opts.SetIntraOpNumThreads(1);
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sess_opts.SetInterOpNumThreads(1);
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std::string model_filename;
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if (!config.model_config.transducer.encoder_filename.empty()) {
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model_filename = config.model_config.transducer.encoder_filename;
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} else if (!config.model_config.paraformer.model.empty()) {
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model_filename = config.model_config.paraformer.model;
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} else if (!config.model_config.nemo_ctc.model.empty()) {
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model_filename = config.model_config.nemo_ctc.model;
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} else if (!config.model_config.telespeech_ctc.empty()) {
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model_filename = config.model_config.telespeech_ctc;
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} else if (!config.model_config.tdnn.model.empty()) {
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model_filename = config.model_config.tdnn.model;
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} else if (!config.model_config.zipformer_ctc.model.empty()) {
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model_filename = config.model_config.zipformer_ctc.model;
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} else if (!config.model_config.wenet_ctc.model.empty()) {
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model_filename = config.model_config.wenet_ctc.model;
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} else if (!config.model_config.whisper.encoder.empty()) {
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model_filename = config.model_config.whisper.encoder;
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} else {
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SHERPA_ONNX_LOGE("Please provide a model");
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exit(-1);
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}
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auto buf = ReadFile(model_filename);
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auto encoder_sess =
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std::make_unique<Ort::Session>(env, buf.data(), buf.size(), sess_opts);
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Ort::ModelMetadata meta_data = encoder_sess->GetModelMetadata();
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Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
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auto model_type_ptr =
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meta_data.LookupCustomMetadataMapAllocated("model_type", allocator);
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if (!model_type_ptr) {
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SHERPA_ONNX_LOGE(
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"No model_type in the metadata!\n\n"
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"Please refer to the following URLs to add metadata"
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"\n"
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"(0) Transducer models from icefall"
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"\n "
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"https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/"
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"pruned_transducer_stateless7/export-onnx.py#L303"
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"\n"
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"(1) Nemo CTC models\n "
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"https://huggingface.co/csukuangfj/"
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"sherpa-onnx-nemo-ctc-en-citrinet-512/blob/main/add-model-metadata.py"
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"\n"
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"(2) Paraformer"
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"\n "
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"https://huggingface.co/csukuangfj/"
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"paraformer-onnxruntime-python-example/blob/main/add-model-metadata.py"
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"\n "
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"(3) Whisper"
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"\n "
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"(4) Tdnn models of the yesno recipe from icefall"
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"\n "
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"https://github.com/k2-fsa/icefall/tree/master/egs/yesno/ASR/tdnn"
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"\n"
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"(5) Zipformer CTC models from icefall"
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"\n "
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"https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/"
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"zipformer/export-onnx-ctc.py"
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"\n"
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"(6) CTC models from WeNet"
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"\n "
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"https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/wenet/run.sh"
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"\n"
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"(7) CTC models from TeleSpeech"
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"\n "
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"https://github.com/Tele-AI/TeleSpeech-ASR"
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"\n"
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"\n");
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exit(-1);
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}
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std::string model_type(model_type_ptr.get());
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if (model_type == "conformer" || model_type == "zipformer" ||
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model_type == "zipformer2") {
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return std::make_unique<OfflineRecognizerTransducerImpl>(config);
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}
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if (model_type == "paraformer") {
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return std::make_unique<OfflineRecognizerParaformerImpl>(config);
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}
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if (model_type == "EncDecHybridRNNTCTCBPEModel" &&
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!config.model_config.transducer.decoder_filename.empty() &&
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!config.model_config.transducer.joiner_filename.empty()) {
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return std::make_unique<OfflineRecognizerTransducerNeMoImpl>(config);
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}
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if (model_type == "EncDecCTCModelBPE" ||
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model_type == "EncDecHybridRNNTCTCBPEModel" || model_type == "tdnn" ||
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model_type == "zipformer2_ctc" || model_type == "wenet_ctc" ||
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model_type == "telespeech_ctc") {
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return std::make_unique<OfflineRecognizerCtcImpl>(config);
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}
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if (strncmp(model_type.c_str(), "whisper", 7) == 0) {
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return std::make_unique<OfflineRecognizerWhisperImpl>(config);
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}
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SHERPA_ONNX_LOGE(
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"\nUnsupported model_type: %s\n"
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"We support only the following model types at present: \n"
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" - Non-streaming transducer models from icefall\n"
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" - Non-streaming Paraformer models from FunASR\n"
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" - EncDecCTCModelBPE models from NeMo\n"
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" - EncDecHybridRNNTCTCBPEModel models from NeMo\n"
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" - Whisper models\n"
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" - Tdnn models\n"
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" - Zipformer CTC models\n"
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" - WeNet CTC models\n"
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" - TeleSpeech CTC models\n",
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model_type.c_str());
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exit(-1);
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}
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#if __ANDROID_API__ >= 9
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std::unique_ptr<OfflineRecognizerImpl> OfflineRecognizerImpl::Create(
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AAssetManager *mgr, const OfflineRecognizerConfig &config) {
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if (!config.model_config.model_type.empty()) {
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const auto &model_type = config.model_config.model_type;
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if (model_type == "transducer") {
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return std::make_unique<OfflineRecognizerTransducerImpl>(mgr, config);
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} else if (model_type == "nemo_transducer") {
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return std::make_unique<OfflineRecognizerTransducerNeMoImpl>(mgr, config);
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} else if (model_type == "paraformer") {
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return std::make_unique<OfflineRecognizerParaformerImpl>(mgr, config);
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} else if (model_type == "nemo_ctc" || model_type == "tdnn" ||
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model_type == "zipformer2_ctc" || model_type == "wenet_ctc" ||
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model_type == "telespeech_ctc") {
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return std::make_unique<OfflineRecognizerCtcImpl>(mgr, config);
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} else if (model_type == "whisper") {
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return std::make_unique<OfflineRecognizerWhisperImpl>(mgr, config);
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} else {
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SHERPA_ONNX_LOGE(
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"Invalid model_type: %s. Trying to load the model to get its type",
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model_type.c_str());
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}
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}
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Ort::Env env(ORT_LOGGING_LEVEL_ERROR);
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Ort::SessionOptions sess_opts;
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sess_opts.SetIntraOpNumThreads(1);
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sess_opts.SetInterOpNumThreads(1);
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std::string model_filename;
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if (!config.model_config.transducer.encoder_filename.empty()) {
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model_filename = config.model_config.transducer.encoder_filename;
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} else if (!config.model_config.paraformer.model.empty()) {
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model_filename = config.model_config.paraformer.model;
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} else if (!config.model_config.nemo_ctc.model.empty()) {
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model_filename = config.model_config.nemo_ctc.model;
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} else if (!config.model_config.tdnn.model.empty()) {
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model_filename = config.model_config.tdnn.model;
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} else if (!config.model_config.zipformer_ctc.model.empty()) {
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model_filename = config.model_config.zipformer_ctc.model;
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} else if (!config.model_config.wenet_ctc.model.empty()) {
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model_filename = config.model_config.wenet_ctc.model;
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} else if (!config.model_config.telespeech_ctc.empty()) {
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model_filename = config.model_config.telespeech_ctc;
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} else if (!config.model_config.whisper.encoder.empty()) {
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model_filename = config.model_config.whisper.encoder;
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} else {
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SHERPA_ONNX_LOGE("Please provide a model");
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exit(-1);
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}
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auto buf = ReadFile(mgr, model_filename);
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auto encoder_sess =
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std::make_unique<Ort::Session>(env, buf.data(), buf.size(), sess_opts);
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Ort::ModelMetadata meta_data = encoder_sess->GetModelMetadata();
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Ort::AllocatorWithDefaultOptions allocator; // used in the macro below
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auto model_type_ptr =
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meta_data.LookupCustomMetadataMapAllocated("model_type", allocator);
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if (!model_type_ptr) {
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SHERPA_ONNX_LOGE(
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"No model_type in the metadata!\n\n"
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"Please refer to the following URLs to add metadata"
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"\n"
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"(0) Transducer models from icefall"
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"\n "
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"https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/"
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"pruned_transducer_stateless7/export-onnx.py#L303"
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"\n"
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"(1) Nemo CTC models\n "
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"https://huggingface.co/csukuangfj/"
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"sherpa-onnx-nemo-ctc-en-citrinet-512/blob/main/add-model-metadata.py"
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"\n"
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"(2) Paraformer"
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"\n "
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"https://huggingface.co/csukuangfj/"
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"paraformer-onnxruntime-python-example/blob/main/add-model-metadata.py"
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"\n "
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"(3) Whisper"
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"\n "
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"(4) Tdnn models of the yesno recipe from icefall"
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"\n "
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"https://github.com/k2-fsa/icefall/tree/master/egs/yesno/ASR/tdnn"
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"\n"
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"(5) Zipformer CTC models from icefall"
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"\n "
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"https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/"
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"zipformer/export-onnx-ctc.py"
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"\n"
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"(6) CTC models from WeNet"
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"\n "
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"https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/wenet/run.sh"
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"\n"
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"(7) CTC models from TeleSpeech"
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"\n "
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"https://github.com/Tele-AI/TeleSpeech-ASR"
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"\n"
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"\n");
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exit(-1);
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}
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std::string model_type(model_type_ptr.get());
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if (model_type == "conformer" || model_type == "zipformer" ||
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model_type == "zipformer2") {
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return std::make_unique<OfflineRecognizerTransducerImpl>(mgr, config);
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}
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if (model_type == "paraformer") {
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return std::make_unique<OfflineRecognizerParaformerImpl>(mgr, config);
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}
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if (model_type == "EncDecHybridRNNTCTCBPEModel" &&
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!config.model_config.transducer.decoder_filename.empty() &&
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!config.model_config.transducer.joiner_filename.empty()) {
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return std::make_unique<OfflineRecognizerTransducerNeMoImpl>(mgr, config);
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}
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if (model_type == "EncDecCTCModelBPE" ||
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model_type == "EncDecHybridRNNTCTCBPEModel" || model_type == "tdnn" ||
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model_type == "zipformer2_ctc" || model_type == "wenet_ctc" ||
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model_type == "telespeech_ctc") {
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return std::make_unique<OfflineRecognizerCtcImpl>(mgr, config);
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}
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if (strncmp(model_type.c_str(), "whisper", 7) == 0) {
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return std::make_unique<OfflineRecognizerWhisperImpl>(mgr, config);
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}
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SHERPA_ONNX_LOGE(
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"\nUnsupported model_type: %s\n"
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"We support only the following model types at present: \n"
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" - Non-streaming transducer models from icefall\n"
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" - Non-streaming Paraformer models from FunASR\n"
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" - EncDecCTCModelBPE models from NeMo\n"
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" - EncDecHybridRNNTCTCBPEModel models from NeMo\n"
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" - Whisper models\n"
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" - Tdnn models\n"
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" - Zipformer CTC models\n"
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" - WeNet CTC models\n"
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" - TeleSpeech CTC models\n",
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model_type.c_str());
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exit(-1);
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}
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#endif
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} // namespace sherpa_onnx
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