Fabio
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99 lines
3.6 KiB
C++
99 lines
3.6 KiB
C++
#pragma once
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#include "config.h"
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#include "engine/community_models/echo_tts/config.h"
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#include "engine/framework/assets/resource_bundle.h"
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#include "engine/framework/model_spec/metadata.h"
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#include "engine/framework/runtime/cache_slots.h"
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#include "engine/framework/runtime/session_base.h"
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#include "engine/framework/codecs/fish_dac_codec_runtime.h"
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#include <memory>
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#include <optional>
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#include <string>
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#include <vector>
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namespace engine::models::echo_tts {
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class EchoDiTRuntime;
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struct EchoTtsAssets {
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assets::ResourceBundle resources;
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EchoTtsConfig config;
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EchoPcaState pca;
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std::shared_ptr<const assets::TensorSource> dit_weights;
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// The Fish S1-DAC config this GGUF's codec weights were trained with.
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// The framework owns the graph; Echo only supplies the config and weights.
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engine::codecs::FishDacCodecConfig codec_config;
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std::shared_ptr<const assets::TensorSource> codec_weights;
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};
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// Encoding a speaker reference is linear in its length -- a 4.5-minute clip is
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// ten Fish encode passes -- and the result depends only on the audio and the
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// trim length, so it is cached across requests. Servers reusing a handful of
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// voices then pay it once per voice rather than once per request.
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struct EchoReferenceIdentity {
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std::string id;
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int64_t max_samples = 0;
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};
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struct EchoReferenceIdentityEqual {
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bool operator()(const EchoReferenceIdentity & a, const EchoReferenceIdentity & b) const {
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return a.max_samples == b.max_samples && a.id == b.id;
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}
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};
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struct EchoPreparedSpeaker {
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std::vector<float> latent;
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int64_t frames = 0;
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};
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std::shared_ptr<runtime::IVoiceModelLoader> make_echo_tts_loader();
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class EchoTtsSession final
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: public runtime::RuntimeSessionBase,
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public runtime::IOfflineVoiceTaskSession {
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public:
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EchoTtsSession(
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runtime::TaskSpec task,
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runtime::SessionOptions options,
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std::shared_ptr<const EchoTtsAssets> assets,
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std::shared_ptr<const engine::model_spec::ModelContract> contract);
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~EchoTtsSession() override;
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std::string family() const override;
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runtime::VoiceTaskKind task_kind() const override;
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runtime::RunMode run_mode() const override;
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void prepare(const runtime::SessionPreparationRequest & request) override;
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runtime::TaskResult run(const runtime::TaskRequest & request) override;
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void reset();
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private:
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// Reference trim limit: request option, else session default, else the
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// trained maximum. Returned in samples at the codec rate.
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int64_t resolve_reference_max_samples(
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const std::unordered_map<std::string, std::string> & request_options) const;
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EchoSamplerOptions parse_sampler_options(
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const std::unordered_map<std::string, std::string> & options) const;
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// Encodes reference audio to 80-D PCA latents, mirroring
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// inference.py::get_speaker_latent_and_mask.
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void encode_speaker(const runtime::AudioBuffer & audio);
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runtime::AudioBuffer synthesize_chunk(
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const std::string & text,
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const EchoSamplerOptions & sampler);
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runtime::TaskSpec task_;
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std::shared_ptr<const EchoTtsAssets> assets_;
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std::shared_ptr<const engine::model_spec::ModelContract> contract_;
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std::unique_ptr<EchoDiTRuntime> dit_;
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std::unique_ptr<engine::codecs::FishDacCodecRuntime> codec_;
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EchoCfgMode cfg_mode_ = EchoCfgMode::Independent;
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int64_t reference_max_samples_ = 0;
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bool mem_saver_ = false;
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std::vector<float> speaker_latent_;
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int64_t speaker_frames_ = 0;
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runtime::CacheSlots<EchoReferenceIdentity, EchoPreparedSpeaker, EchoReferenceIdentityEqual>
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reference_cache_;
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};
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} // namespace engine::models::echo_tts
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