Fabio
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54 lines
1.4 KiB
C++
54 lines
1.4 KiB
C++
#pragma once
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#include "engine/community_models/glm_tts/assets.h"
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/core/backend.h"
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#include <cstdint>
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#include <memory>
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#include <vector>
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namespace engine::models::glm_tts {
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struct GlmTTSFlowInput {
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std::vector<int32_t> speech_tokens;
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std::vector<float> prompt_mel;
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std::vector<float> speaker_embedding;
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std::vector<float> initial_noise;
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int64_t prompt_frames = 0;
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int inference_steps = 10;
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float cfg_rate = 0.7F;
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};
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struct GlmTTSFlowOutput {
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std::vector<float> mel;
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int64_t frames = 0;
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int64_t prompt_frames = 0;
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};
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class GlmTTSFlowRuntime {
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public:
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GlmTTSFlowRuntime() = default;
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GlmTTSFlowRuntime(
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std::shared_ptr<const assets::TensorSource> source,
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core::BackendConfig backend,
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assets::TensorStorageType storage_type,
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GlmTTSFlowConfig config);
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~GlmTTSFlowRuntime();
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GlmTTSFlowRuntime(GlmTTSFlowRuntime &&) noexcept;
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GlmTTSFlowRuntime & operator=(GlmTTSFlowRuntime &&) noexcept;
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GlmTTSFlowRuntime(const GlmTTSFlowRuntime &) = delete;
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GlmTTSFlowRuntime & operator=(const GlmTTSFlowRuntime &) = delete;
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GlmTTSFlowOutput generate(const GlmTTSFlowInput & input) const;
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void release_graph();
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private:
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struct State;
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GlmTTSFlowConfig config_;
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std::shared_ptr<State> state_;
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};
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} // namespace engine::models::glm_tts
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