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45 lines
1.6 KiB
C++
45 lines
1.6 KiB
C++
#pragma once
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// LFM3-Audio ASR encoder: a conv downsampler (x8 over time and mel), an LFM2
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// stack with sliding-window attention, and an MLP projector to the backbone
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// width.
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#include "engine/community_models/lfm3_audio/assets.h"
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#include "engine/community_models/lfm3_audio/features.h"
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#include "engine/community_models/lfm3_audio/weights.h"
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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 <cstdint>
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#include <memory>
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#include <vector>
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namespace engine::community_models::lfm3_audio {
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struct Lfm3AudioEmbeddings { // row-major [tokens][2048]
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std::vector<float> values;
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int64_t tokens = 0;
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int64_t hidden = 0;
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};
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struct Lfm3EncoderTaps {
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std::vector<float> downsample /*[N,768]*/, encoder /*[N,768]*/;
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};
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class Lfm3AudioEncoderRuntime {
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public:
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Lfm3AudioEncoderRuntime(std::shared_ptr<const assets::TensorSource> model, const Lfm3EncoderConfig & config,
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core::ExecutionContext & execution, const Lfm3WeightOptions & options);
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~Lfm3AudioEncoderRuntime();
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// One embedding per 8 feature frames, rounded up. The graph stays for the next call, which reuses it for the
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// same frame count; a pass longer than 30 s frees its compute buffer afterwards. With LFM3_AUDIO_DUMP_DIR set
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// it writes the downsample, encoder and projector dumps.
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Lfm3AudioEmbeddings encode(const Lfm3Features & features, Lfm3EncoderTaps * taps = nullptr);
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[[nodiscard]] int64_t graphs_built() const noexcept; // lets tests check graph reuse
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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::community_models::lfm3_audio
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