8562711252
* Implement context graph * Modify the interface to support context biasing * Support context biasing in modified beam search; add python wrapper * Support context biasing in python api example * Minor fixes * Fix context graph * Minor fixes * Fix tests * Fix style * Fix style * Fix comments * Minor fixes * Add missing header * Replace std::shared_ptr with std::unique_ptr for effciency * Build graph in constructor * Fix comments * Minor fixes * Fix docs
38 lines
1.0 KiB
C++
38 lines
1.0 KiB
C++
// sherpa-onnx/csrc/offline-recognizer-impl.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
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#include <memory>
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#include <vector>
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/offline-recognizer.h"
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#include "sherpa-onnx/csrc/offline-stream.h"
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namespace sherpa_onnx {
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class OfflineRecognizerImpl {
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public:
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static std::unique_ptr<OfflineRecognizerImpl> Create(
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const OfflineRecognizerConfig &config);
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virtual ~OfflineRecognizerImpl() = default;
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virtual std::unique_ptr<OfflineStream> CreateStream(
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const std::vector<std::vector<int32_t>> &context_list) const {
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SHERPA_ONNX_LOGE("Only transducer models support contextual biasing.");
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exit(-1);
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}
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virtual std::unique_ptr<OfflineStream> CreateStream() const = 0;
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virtual void DecodeStreams(OfflineStream **ss, int32_t n) const = 0;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_RECOGNIZER_IMPL_H_
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