Fabio
c36510c21e
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73 lines
2 KiB
C++
73 lines
2 KiB
C++
#pragma once
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#include "engine/models/seed_vc/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::seed_vc {
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struct SeedVcV1CfmEstimatorInput {
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std::vector<float> x;
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std::vector<float> prompt;
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std::vector<float> cond;
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std::vector<float> style;
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std::vector<float> timestep;
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int64_t batch = 0;
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int64_t frames = 0;
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};
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struct SeedVcV1CfmEstimatorOutput {
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std::vector<float> velocity;
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int64_t batch = 0;
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int64_t channels = 0;
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int64_t frames = 0;
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};
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struct SeedVcV1CfmInferenceInput {
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std::vector<float> mu;
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std::vector<float> prompt;
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std::vector<float> style;
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std::vector<float> initial_noise;
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int64_t batch = 0;
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int64_t frames = 0;
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int64_t prompt_frames = 0;
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int num_inference_steps = 0;
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float temperature = 1.0F;
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float inference_cfg_rate = 0.5F;
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};
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class SeedVcV1CfmEstimator {
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public:
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SeedVcV1CfmEstimator() = default;
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SeedVcV1CfmEstimator(
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std::shared_ptr<const engine::assets::TensorSource> source,
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engine::core::BackendConfig backend,
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engine::assets::TensorStorageType storage_type,
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SeedVcV1DitConfig config,
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SeedVcV1WavenetConfig wavenet_config,
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int64_t style_dim);
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~SeedVcV1CfmEstimator();
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SeedVcV1CfmEstimator(SeedVcV1CfmEstimator &&) noexcept;
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SeedVcV1CfmEstimator & operator=(SeedVcV1CfmEstimator &&) noexcept;
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SeedVcV1CfmEstimator(const SeedVcV1CfmEstimator &) = delete;
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SeedVcV1CfmEstimator & operator=(const SeedVcV1CfmEstimator &) = delete;
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SeedVcV1CfmEstimatorOutput run(const SeedVcV1CfmEstimatorInput & input) const;
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SeedVcV1CfmEstimatorOutput infer(const SeedVcV1CfmInferenceInput & input) const;
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private:
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struct State;
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SeedVcV1DitConfig config_;
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SeedVcV1WavenetConfig wavenet_config_;
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int64_t style_dim_ = 0;
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std::shared_ptr<State> state_;
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};
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} // namespace engine::models::seed_vc
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