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