93 lines
3.3 KiB
C++
93 lines
3.3 KiB
C++
// sherpa-onnx/csrc/offline-fire-red-asr-model.h
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//
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// Copyright (c) 2025 Xiaomi Corporation
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#ifndef SHERPA_ONNX_CSRC_OFFLINE_FIRE_RED_ASR_MODEL_H_
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#define SHERPA_ONNX_CSRC_OFFLINE_FIRE_RED_ASR_MODEL_H_
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#include <memory>
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#include <string>
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#include <tuple>
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#include <unordered_map>
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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-fire-red-asr-model-meta-data.h"
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#include "sherpa-onnx/csrc/offline-model-config.h"
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namespace sherpa_onnx {
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class OfflineFireRedAsrModel {
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public:
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explicit OfflineFireRedAsrModel(const OfflineModelConfig &config);
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template <typename Manager>
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OfflineFireRedAsrModel(Manager *mgr, const OfflineModelConfig &config);
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~OfflineFireRedAsrModel();
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/** Run the encoder model.
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*
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* @param features A tensor of shape (N, T, C).
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* @param features_len A tensor of shape (N,) with dtype int64.
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*
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* @return Return a pair containing:
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* - n_layer_cross_k: A 4-D tensor of shape
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* (num_decoder_layers, N, T, d_model)
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* - n_layer_cross_v: A 4-D tensor of shape
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* (num_decoder_layers, N, T, d_model)
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*/
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std::pair<Ort::Value, Ort::Value> ForwardEncoder(
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Ort::Value features, Ort::Value features_length) const;
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/** Run the decoder model.
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*
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* @param tokens A int64 tensor of shape (N, num_words)
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* @param n_layer_self_k_cache A 5-D tensor of shape
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* (num_decoder_layers, N, max_len, num_head, head_dim).
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* @param n_layer_self_v_cache A 5-D tensor of shape
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* (num_decoder_layers, N, max_len, num_head, head_dim).
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* @param n_layer_cross_k A 5-D tensor of shape
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* (num_decoder_layers, N, T, d_model).
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* @param n_layer_cross_v A 5-D tensor of shape
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* (num_decoder_layers, N, T, d_model).
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* @param offset A int64 tensor of shape (N,)
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*
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* @return Return a tuple containing 6 tensors:
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*
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* - logits A 3-D tensor of shape (N, num_words, vocab_size)
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* - out_n_layer_self_k_cache Same shape as n_layer_self_k_cache
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* - out_n_layer_self_v_cache Same shape as n_layer_self_v_cache
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* - out_n_layer_cross_k Same as n_layer_cross_k
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* - out_n_layer_cross_v Same as n_layer_cross_v
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* - out_offset Same as offset
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*/
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std::tuple<Ort::Value, Ort::Value, Ort::Value, Ort::Value, Ort::Value,
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Ort::Value>
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ForwardDecoder(Ort::Value tokens, Ort::Value n_layer_self_k_cache,
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Ort::Value n_layer_self_v_cache, Ort::Value n_layer_cross_k,
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Ort::Value n_layer_cross_v, Ort::Value offset) const;
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/** Return the initial self kv cache in a pair
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* - n_layer_self_k_cache A 5-D tensor of shape
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* (num_decoder_layers, N, max_len, num_head, head_dim).
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* - n_layer_self_v_cache A 5-D tensor of shape
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* (num_decoder_layers, N, max_len, num_head, head_dim).
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*/
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std::pair<Ort::Value, Ort::Value> GetInitialSelfKVCache() const;
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const OfflineFireRedAsrModelMetaData &GetModelMetadata() 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_FIRE_RED_ASR_MODEL_H_
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