Fabio
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109 lines
3.6 KiB
C++
109 lines
3.6 KiB
C++
#pragma once
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#include "engine/framework/assets/resource_bundle.h"
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#include "engine/framework/audio/mel_spectrogram_frontend.h"
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#include "engine/framework/core/backend_weight_store.h"
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/modules/attention/types.h"
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#include "engine/framework/modules/conv_modules.h"
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#include "engine/framework/modules/conformer_modules.h"
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#include "engine/framework/modules/ebranchformer_modules.h"
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#include "engine/framework/modules/feed_forward_modules.h"
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#include "engine/framework/modules/norm_modules.h"
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#include "engine/framework/modules/streaming_conv_modules.h"
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#include "engine/framework/modules/transformers/transformer_blocks.h"
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#include "engine/framework/runtime/model.h"
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#include "engine/framework/tokenizers/sentencepiece.h"
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#include <filesystem>
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#include <functional>
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#include <memory>
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#include <string>
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#include <vector>
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namespace engine::models::owsm {
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struct OWSMV4Config {
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std::string variant;
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int64_t hidden_size = 0;
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int64_t num_heads = 0;
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int64_t encoder_layers = 0;
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int64_t decoder_layers = 0;
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int64_t intermediate_size = 0;
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int64_t vocabulary_size = 50002;
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int64_t max_audio_samples = 480000;
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int64_t frontend_frames = 3001;
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int64_t encoder_frames = 374;
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int64_t max_decode_tokens = 374;
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int32_t blank_id = 0;
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int32_t notimestamps_id = 181;
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int32_t first_timestamp_id = 182;
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int32_t last_timestamp_id = 1682;
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int32_t sos_id = 49999;
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int32_t eos_id = 50000;
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int32_t sop_id = 50001;
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};
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struct OWSMV4Assets {
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assets::ResourceBundle resources;
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std::shared_ptr<const assets::TensorSource> source;
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std::vector<tokenizers::SentencePiecePiece> sentencepiece;
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std::shared_ptr<const audio::MelSpectrogramFrontend> frontend;
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std::vector<float> feature_mean;
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std::vector<float> feature_std;
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OWSMV4Config config;
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int32_t token_id(const std::string & token) const;
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std::vector<int32_t> tokenize_text(const std::string & text) const;
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std::string decode_visible(const std::vector<int32_t> & ids) const;
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};
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struct OWSMV4Weights {
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std::unique_ptr<core::BackendWeightStore> store;
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modules::EspnetConv2dSubsampling8Weights subsampling;
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std::vector<modules::EBranchformerBlockWeights> encoder;
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modules::NormWeights encoder_norm;
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core::TensorValue embedding;
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std::vector<modules::TransformerDecoderBlockWeights> decoder;
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modules::NormWeights decoder_norm;
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modules::LinearWeights output;
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core::TensorValue half_scale;
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core::TensorValue embedding_scale;
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};
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struct OWSMV4DecodeResult {
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std::vector<int32_t> tokens;
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std::string detected_language;
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};
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std::shared_ptr<const OWSMV4Assets> load_owsm_assets(const std::filesystem::path & path);
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std::unique_ptr<OWSMV4Weights> load_owsm_weights(
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const OWSMV4Assets & assets,
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core::ExecutionContext & execution,
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assets::TensorStorageType type);
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class OWSMV4Runtime {
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public:
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OWSMV4Runtime(const OWSMV4Assets & assets, const OWSMV4Weights & weights,
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core::ExecutionContext & execution);
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~OWSMV4Runtime();
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OWSMV4DecodeResult decode(
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const std::vector<float> & samples,
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const std::vector<int32_t> & prompt,
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bool predict_timestamps,
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int64_t max_tokens,
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int64_t beam_size = 1,
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const std::function<void(const std::vector<int32_t> &)> & on_tokens = {});
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private:
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struct Graphs;
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const OWSMV4Assets & assets_;
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const OWSMV4Weights & weights_;
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core::ExecutionContext & execution_;
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std::unique_ptr<Graphs> graphs_;
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};
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std::shared_ptr<runtime::IVoiceModelLoader> make_owsm_loader();
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} // namespace engine::models::owsm
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