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
44 lines
1.3 KiB
C++
44 lines
1.3 KiB
C++
// sherpa-onnx/csrc/offline-transducer-decoder.h
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_TRANSDUCER_DECODER_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_TRANSDUCER_DECODER_H_
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#include <vector>
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#include "onnxruntime_cxx_api.h" // NOLINT
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#include "sherpa-onnx/csrc/offline-stream.h"
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namespace sherpa_onnx {
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struct OfflineTransducerDecoderResult {
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/// The decoded token IDs
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std::vector<int64_t> tokens;
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/// timestamps[i] contains the output frame index where tokens[i] is decoded.
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/// Note: The index is after subsampling
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std::vector<int32_t> timestamps;
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};
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class OfflineTransducerDecoder {
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public:
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virtual ~OfflineTransducerDecoder() = default;
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/** Run transducer beam search given the output from the encoder model.
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*
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* @param encoder_out A 3-D tensor of shape (N, T, joiner_dim)
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* @param encoder_out_length A 1-D tensor of shape (N,) containing number
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* of valid frames in encoder_out before padding.
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*
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* @return Return a vector of size `N` containing the decoded results.
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*/
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virtual std::vector<OfflineTransducerDecoderResult> Decode(
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Ort::Value encoder_out, Ort::Value encoder_out_length,
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OfflineStream **ss = nullptr, int32_t n = 0) = 0;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_TRANSDUCER_DECODER_H_
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