88 lines
2.8 KiB
C++
88 lines
2.8 KiB
C++
// sherpa-onnx/csrc/offline-moonshine-model.h
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_MOONSHINE_MODEL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_MOONSHINE_MODEL_H_
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#include <memory>
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#include <string>
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#include <utility>
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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-model-config.h"
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namespace sherpa_onnx {
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// please see
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// https://github.com/k2-fsa/sherpa-onnx/blob/master/scripts/moonshine/test.py
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class OfflineMoonshineModel {
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public:
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explicit OfflineMoonshineModel(const OfflineModelConfig &config);
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template <typename Manager>
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OfflineMoonshineModel(Manager *mgr, const OfflineModelConfig &config);
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~OfflineMoonshineModel();
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/** Run the preprocessor model.
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*
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* @param audio A float32 tensor of shape (batch_size, num_samples)
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*
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* @return Return a float32 tensor of shape (batch_size, T, dim) that
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* can be used as the input of ForwardEncoder()
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*/
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Ort::Value ForwardPreprocessor(Ort::Value audio) const;
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/** Run the encoder model.
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*
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* @param features A float32 tensor of shape (batch_size, T, dim)
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* @param features_len A int32 tensor of shape (batch_size,)
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* @returns A float32 tensor of shape (batch_size, T, dim).
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*/
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Ort::Value ForwardEncoder(Ort::Value features, Ort::Value features_len) const;
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/** Run the uncached decoder.
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*
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* @param token A int32 tensor of shape (batch_size, num_tokens)
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* @param seq_len A int32 tensor of shape (batch_size,) containing number
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* of predicted tokens so far
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* @param encoder_out A float32 tensor of shape (batch_size, T, dim)
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*
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* @returns Return a pair:
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*
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* - logits, a float32 tensor of shape (batch_size, 1, dim)
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* - states, a list of states
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*/
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std::pair<Ort::Value, std::vector<Ort::Value>> ForwardUnCachedDecoder(
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Ort::Value token, Ort::Value seq_len, Ort::Value encoder_out) const;
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/** Run the cached decoder.
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*
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* @param token A int32 tensor of shape (batch_size, num_tokens)
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* @param seq_len A int32 tensor of shape (batch_size,) containing number
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* of predicted tokens so far
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* @param encoder_out A float32 tensor of shape (batch_size, T, dim)
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* @param states A list of previous states
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*
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* @returns Return a pair:
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* - logits, a float32 tensor of shape (batch_size, 1, dim)
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* - states, a list of new states
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*/
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std::pair<Ort::Value, std::vector<Ort::Value>> ForwardCachedDecoder(
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Ort::Value token, Ort::Value seq_len, Ort::Value encoder_out,
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std::vector<Ort::Value> states) const;
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/** Return an allocator for allocating memory
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*/
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OrtAllocator *Allocator() const;
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private:
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class Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace sherpa_onnx
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#endif // SHERPA_ONNX_CSRC_OFFLINE_MOONSHINE_MODEL_H_
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