dffb0fd43c
* Refactor offline recognizer. The purpose is to make it easier to support different types of models.
44 lines
1.2 KiB
C++
44 lines
1.2 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-transducer-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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Ort::Env env;
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Ort::SessionOptions sess_opts;
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auto buf = ReadFile(config.model_config.encoder_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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std::string model_type;
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SHERPA_ONNX_READ_META_DATA_STR(model_type, "model_type");
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if (model_type == "conformer") {
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return std::make_unique<OfflineRecognizerTransducerImpl>(config);
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}
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SHERPA_ONNX_LOGE("Unsupported model_type: %s\n", model_type.c_str());
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exit(-1);
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}
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} // namespace sherpa_onnx
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