Fabio
c36510c21e
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115 lines
3.7 KiB
C++
115 lines
3.7 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 <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 VibeVoiceDiffusionHeadGraph;
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struct VibeVoiceDiffusionPrediction {
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std::vector<float> values;
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int64_t frames = 0;
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int64_t latent_size = 0;
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};
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struct VibeVoiceDiffusionHeadLayerWeights {
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modules::LinearWeights gate_proj;
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modules::LinearWeights up_proj;
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modules::LinearWeights down_proj;
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assets::TensorDataF32 norm;
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modules::LinearWeights ada_ln;
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};
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struct VibeVoiceDiffusionHeadFinalWeights {
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modules::LinearWeights ada_ln;
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modules::LinearWeights linear;
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};
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struct VibeVoiceDiffusionHeadWeights {
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std::shared_ptr<core::BackendWeightStore> store;
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modules::LinearWeights noisy_images_proj;
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modules::LinearWeights cond_proj;
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modules::LinearWeights timestep_fc1;
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modules::LinearWeights timestep_fc2;
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std::vector<VibeVoiceDiffusionHeadLayerWeights> layers;
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VibeVoiceDiffusionHeadFinalWeights final_layer;
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core::TensorValue time_freqs;
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core::TensorValue ones;
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};
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class VibeVoiceDiffusionHeadWeightsRuntime final {
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public:
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VibeVoiceDiffusionHeadWeightsRuntime(
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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 = 64ull * 1024ull * 1024ull,
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assets::TensorStorageType weight_storage_type = assets::TensorStorageType::Native);
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~VibeVoiceDiffusionHeadWeightsRuntime();
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VibeVoiceDiffusionHeadWeightsRuntime(const VibeVoiceDiffusionHeadWeightsRuntime &) = delete;
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VibeVoiceDiffusionHeadWeightsRuntime & operator=(const VibeVoiceDiffusionHeadWeightsRuntime &) = delete;
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const VibeVoiceAssets & assets() const noexcept;
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const VibeVoiceDiffusionHeadWeights & 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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core::ConstantTensorCache & constants() const noexcept;
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int threads() const noexcept;
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VibeVoiceDiffusionPrediction predict(
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const std::vector<float> & noisy_images,
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int64_t frames,
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int64_t latent_size,
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float timestep,
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const std::vector<float> & condition,
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int64_t condition_hidden_size) const;
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private:
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std::shared_ptr<const VibeVoiceAssets> assets_;
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std::shared_ptr<const VibeVoiceDiffusionHeadWeights> weights_;
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std::unique_ptr<core::ConstantTensorCache> constants_;
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mutable std::unique_ptr<VibeVoiceDiffusionHeadGraph> 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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VibeVoiceDiffusionHeadWeights load_vibevoice_diffusion_head_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_diffusion_head(
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core::ModuleBuildContext & ctx,
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const core::TensorValue & noisy_images,
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const core::TensorValue & timesteps,
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const core::TensorValue & condition,
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const VibeVoiceDiffusionHeadWeights & weights,
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const VibeVoiceDiffusionHeadConfig & config,
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core::ConstantTensorCache & constants);
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} // namespace engine::models::vibevoice
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