Fabio
c36510c21e
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109 lines
3.5 KiB
C++
109 lines
3.5 KiB
C++
#pragma once
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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 "engine/framework/core/module.h"
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#include "engine/framework/modules/linear_module.h"
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#include "engine/models/vibevoice/assets.h"
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#include <ggml-backend.h>
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#include <cstddef>
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#include <cstdint>
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#include <memory>
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#include <vector>
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namespace engine::core {
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class BackendWeightStore;
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}
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namespace engine::core {
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class ConstantTensorCache;
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}
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namespace engine::models::vibevoice {
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class VibeVoiceConnectorGraph;
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struct VibeVoiceTokenizerLatents;
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struct VibeVoiceConnectorOutput {
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std::vector<float> values;
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int64_t frames = 0;
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int64_t hidden_size = 0;
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};
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struct VibeVoiceConnectorWeights {
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modules::LinearWeights fc1;
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assets::TensorDataF32 norm;
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modules::LinearWeights fc2;
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int64_t input_dim = 0;
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int64_t hidden_size = 0;
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};
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struct VibeVoiceConnectorWeightsBundle {
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std::shared_ptr<core::BackendWeightStore> store;
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VibeVoiceConnectorWeights acoustic;
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VibeVoiceConnectorWeights semantic;
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};
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class VibeVoiceConnectorWeightsRuntime final {
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public:
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VibeVoiceConnectorWeightsRuntime(
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std::shared_ptr<const VibeVoiceAssets> assets,
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core::BackendType backend_type,
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int device,
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int threads,
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size_t weight_context_bytes = 64ull * 1024ull * 1024ull,
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size_t constant_context_bytes = 32ull * 1024ull * 1024ull,
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assets::TensorStorageType weight_storage_type = assets::TensorStorageType::Native);
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~VibeVoiceConnectorWeightsRuntime();
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VibeVoiceConnectorWeightsRuntime(const VibeVoiceConnectorWeightsRuntime &) = delete;
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VibeVoiceConnectorWeightsRuntime & operator=(const VibeVoiceConnectorWeightsRuntime &) = delete;
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const VibeVoiceAssets & assets() const noexcept;
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const VibeVoiceConnectorWeightsBundle & weights() const noexcept;
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ggml_backend_t backend() const noexcept;
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core::BackendType backend_type() const noexcept;
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int threads() const noexcept;
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VibeVoiceConnectorOutput project_acoustic(
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const std::vector<float> & features,
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int64_t frames,
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int64_t input_dim) const;
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std::vector<VibeVoiceConnectorOutput> project_acoustic_batch(
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const std::vector<VibeVoiceTokenizerLatents> & features) const;
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VibeVoiceConnectorOutput project_semantic(
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const std::vector<float> & features,
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int64_t frames,
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int64_t input_dim) const;
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std::vector<VibeVoiceConnectorOutput> project_semantic_batch(
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const std::vector<VibeVoiceTokenizerLatents> & features) const;
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private:
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std::shared_ptr<const VibeVoiceAssets> assets_;
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std::shared_ptr<const VibeVoiceConnectorWeightsBundle> weights_;
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std::unique_ptr<core::ConstantTensorCache> acoustic_constants_;
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std::unique_ptr<core::ConstantTensorCache> semantic_constants_;
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mutable std::unique_ptr<VibeVoiceConnectorGraph> acoustic_graph_;
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mutable std::unique_ptr<VibeVoiceConnectorGraph> semantic_graph_;
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ggml_backend_t backend_ = nullptr;
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core::BackendType backend_type_ = core::BackendType::Cpu;
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int threads_ = 1;
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};
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VibeVoiceConnectorWeightsBundle load_vibevoice_connector_weights(
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const VibeVoiceAssets & assets,
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ggml_backend_t backend,
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core::BackendType backend_type,
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size_t weight_context_bytes,
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assets::TensorStorageType weight_storage_type);
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core::TensorValue build_vibevoice_connector(
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core::ModuleBuildContext & ctx,
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const core::TensorValue & features,
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const VibeVoiceConnectorWeights & weights,
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core::ConstantTensorCache & constants);
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} // namespace engine::models::vibevoice
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