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