voice_audio_multi/include/engine/models/fireredtts3/ar.h
Fabio c36510c21e
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Initial import: audio.cpp with Orange Pi documentation
2026-11-04 19:05:22 +01:00

49 lines
1.8 KiB
C++

#pragma once
#include "engine/framework/assets/tensor_source.h"
#include "engine/framework/core/execution_context.h"
#include "engine/framework/modules/transformers/causal_decoder_runtime.h"
#include "engine/models/fireredtts3/assets.h"
#include <cstddef>
#include <memory>
#include <vector>
namespace engine::models::fireredtts3 {
class FireRedQwen3ARRuntime {
public:
FireRedQwen3ARRuntime(
std::shared_ptr<const FireRedTTS3Assets> assets,
engine::core::ExecutionContext & execution,
size_t graph_arena_bytes,
size_t helper_graph_arena_bytes,
size_t weight_context_bytes,
engine::assets::TensorStorageType storage_type,
bool instruct);
~FireRedQwen3ARRuntime();
FireRedQwen3ARRuntime(const FireRedQwen3ARRuntime &) = delete;
FireRedQwen3ARRuntime & operator=(const FireRedQwen3ARRuntime &) = delete;
std::vector<float> token_embedding(const std::vector<int32_t> & token_ids);
std::vector<float> speaker_llm(const std::vector<float> & speaker);
std::vector<float> speaker_dit(const std::vector<float> & speaker);
std::vector<float> patch_encode(const std::vector<float> & latents);
std::vector<float> dit_head(const std::vector<float> & hidden, int64_t rows);
float stop(const std::vector<float> & hidden);
std::vector<float> text_logits(const std::vector<float> & hidden);
engine::modules::CausalDecoderPrefillResult prefill_embeddings(const std::vector<float> & embeddings, int64_t steps);
void start_decode_embeddings(const engine::runtime::TransformerKVState & state, int64_t required_cache_steps);
engine::modules::CausalDecoderStepResult decode_embedding(const std::vector<float> & embedding);
void release_graphs();
void release_backbone_graphs();
private:
class Impl;
std::unique_ptr<Impl> impl_;
};
} // namespace engine::models::fireredtts3