Fabio
c36510c21e
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107 lines
3.4 KiB
C++
107 lines
3.4 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/dramabox/assets.h"
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#include "engine/models/dramabox/gemma3_encoder.h"
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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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class ExecutionContext;
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}
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namespace engine::models::dramabox {
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struct DramaBoxConnectorAttentionWeights {
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modules::LinearWeights q;
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modules::LinearWeights k;
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modules::LinearWeights v;
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modules::LinearWeights out;
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modules::LinearWeights gate;
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core::TensorValue q_norm;
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core::TensorValue k_norm;
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};
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struct DramaBoxConnectorBlockWeights {
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DramaBoxConnectorAttentionWeights attention;
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modules::LinearWeights ff_in;
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modules::LinearWeights ff_out;
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};
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struct DramaBoxPromptConnectorWeights {
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std::shared_ptr<core::BackendWeightStore> store;
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std::vector<float> learnable_registers_host;
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std::vector<DramaBoxConnectorBlockWeights> blocks;
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core::TensorValue rope_cos;
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core::TensorValue rope_sin;
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};
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struct DramaBoxConditioningEncoding {
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int64_t batch = 0;
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int64_t tokens = 0;
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int64_t hidden_size = 0;
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std::vector<float> features;
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};
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DramaBoxPromptConnectorWeights load_dramabox_prompt_connector_weights(
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const DramaBoxAssets & 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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int64_t sequence_length);
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core::TensorValue build_dramabox_prompt_connector(
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core::ModuleBuildContext & ctx,
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const core::TensorValue & input,
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const DramaBoxPromptConnectorWeights & weights,
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const DramaBoxConfig & config,
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DramaBoxPerfMode perf_mode = DramaBoxPerfMode::Exact);
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std::vector<float> make_branch_conditioning_features(
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const DramaBoxConditioningEncoding & conditioning,
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int64_t branch_count,
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bool cfg_enabled,
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bool stg_enabled);
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DramaBoxConditioningEncoding select_conditioning_batch(
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const DramaBoxConditioningEncoding & conditioning,
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int64_t batch);
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DramaBoxConditioningEncoding join_positive_negative_conditioning(
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const DramaBoxConditioningEncoding & positive,
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const DramaBoxConditioningEncoding & negative);
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class DramaBoxPromptConnectorRuntime {
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public:
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DramaBoxPromptConnectorRuntime(
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core::ExecutionContext & execution,
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std::shared_ptr<const DramaBoxAssets> assets,
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assets::TensorStorageType weight_storage_type,
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int64_t max_batch,
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DramaBoxPerfMode perf_mode);
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~DramaBoxPromptConnectorRuntime();
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DramaBoxPromptConnectorRuntime(const DramaBoxPromptConnectorRuntime &) = delete;
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DramaBoxPromptConnectorRuntime & operator=(const DramaBoxPromptConnectorRuntime &) = delete;
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void prepare(int64_t batch) const;
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DramaBoxConditioningEncoding encode(const DramaBoxPromptEncoding & prompt) const;
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void release_runtime_state() const;
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private:
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class Graph;
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core::ExecutionContext * execution_ = nullptr;
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std::shared_ptr<const DramaBoxAssets> assets_;
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assets::TensorStorageType weight_storage_type_ = assets::TensorStorageType::Native;
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int64_t max_batch_ = 1;
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DramaBoxPerfMode perf_mode_ = DramaBoxPerfMode::Exact;
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mutable std::unique_ptr<DramaBoxPromptConnectorWeights> weights_;
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mutable std::unique_ptr<Graph> graph_;
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};
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} // namespace engine::models::dramabox
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