Fabio
c36510c21e
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113 lines
3.3 KiB
C++
113 lines
3.3 KiB
C++
#pragma once
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/core/execution_context.h"
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#include <ggml.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::models::controlfoley {
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struct ControlFoleyFlowConfig {
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bool v2 = false;
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int64_t latent_dim = 40;
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int64_t clip_dim = 1024;
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int64_t visual_dim = 768;
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int64_t sync_dim = 768;
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int64_t text_dim = 1024;
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int64_t audio_dim = 512;
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int64_t timbre_dim = 1536;
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int64_t hidden_dim = 896;
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int64_t depth = 54;
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int64_t fused_depth = 36;
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int64_t num_heads = 14;
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float mlp_ratio = 4.0F;
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int64_t latent_seq_len = 345;
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int64_t clip_seq_len = 64;
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int64_t visual_seq_len = 32;
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int64_t sync_seq_len = 192;
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int64_t text_seq_len = 77;
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int64_t audio_seq_len = 1;
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int64_t timbre_seq_len = 1;
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float layer_norm_eps = 1.0e-5F;
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float rms_norm_eps = 1.1920928955078125e-7F;
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float rope_theta = 10000.0F;
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};
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struct ControlFoleyFlowRuntimeOptions {
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assets::TensorStorageType weight_storage_type = assets::TensorStorageType::Native;
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#if defined(INTPTR_MAX) && (INTPTR_MAX == INT32_MAX)
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size_t weight_context_bytes = 1024ull * 1024ull * 1024ull;
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#else
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size_t weight_context_bytes = 6144ull * 1024ull * 1024ull;
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#endif
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size_t condition_graph_arena_bytes = 512ull * 1024ull * 1024ull;
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size_t flow_graph_arena_bytes = 2048ull * 1024ull * 1024ull;
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size_t graph_nodes = 1048576;
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ggml_prec projection_precision = GGML_PREC_DEFAULT;
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ggml_prec attention_precision = GGML_PREC_DEFAULT;
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};
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struct ControlFoleyFlowConditionInput {
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int64_t batch = 0;
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std::vector<float> clip;
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std::vector<float> visual;
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std::vector<float> sync;
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std::vector<float> text;
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std::vector<float> audio;
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std::vector<float> timbre;
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};
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struct ControlFoleyFlowConditions {
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int64_t batch = 0;
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std::vector<float> clip;
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std::vector<float> sync;
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std::vector<float> text;
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std::vector<float> audio;
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std::vector<float> timbre;
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std::vector<float> clip_cond;
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std::vector<float> text_cond;
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};
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struct ControlFoleyFlowPrediction {
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int64_t batch = 0;
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int64_t latent_tokens = 0;
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int64_t latent_dim = 0;
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std::vector<float> flow;
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std::vector<float> multimodal;
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std::vector<float> hidden;
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};
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class ControlFoleyFlowDenoiserRuntime {
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public:
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ControlFoleyFlowDenoiserRuntime(
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std::shared_ptr<const assets::TensorSource> source,
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core::ExecutionContext & execution,
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ControlFoleyFlowConfig config = {},
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ControlFoleyFlowRuntimeOptions options = {});
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~ControlFoleyFlowDenoiserRuntime();
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ControlFoleyFlowDenoiserRuntime(const ControlFoleyFlowDenoiserRuntime &) = delete;
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ControlFoleyFlowDenoiserRuntime & operator=(const ControlFoleyFlowDenoiserRuntime &) = delete;
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ControlFoleyFlowConditions preprocess_conditions(const ControlFoleyFlowConditionInput & input);
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void update_config(ControlFoleyFlowConfig config);
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ControlFoleyFlowPrediction predict_flow(
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const std::vector<float> & latent,
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const std::vector<float> & timesteps,
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const ControlFoleyFlowConditions & conditions);
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void release_runtime_graphs();
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private:
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struct Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace engine::models::controlfoley
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