Fabio
c36510c21e
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99 lines
3.5 KiB
C++
99 lines
3.5 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 <memory>
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#include <string>
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#include <vector>
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namespace engine::models::owsm_ctc {
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struct OWSMCTCV4Config {
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std::string variant;
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int64_t prompt_hidden_size = 0;
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int64_t prompt_num_heads = 0;
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int64_t prompt_layers = 0;
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int64_t prompt_intermediate_size = 0;
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std::vector<int64_t> interctc_layers;
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std::vector<int64_t> cross_attention_layers;
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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 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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int32_t blank_id = 0;
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};
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struct OWSMCTCV4Assets {
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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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OWSMCTCV4Config config;
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int32_t token_id(const std::string & token) 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 OWSMCTCV4Weights {
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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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modules::LinearWeights output;
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core::TensorValue half_scale;
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core::TensorValue embedding_scale;
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std::vector<modules::TransformerEncoderBlockWeights> prompt_encoder;
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modules::NormWeights prompt_norm;
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modules::LinearWeights prefix_projection;
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modules::LinearWeights prompt_projection;
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modules::LinearWeights ctc_conditioning;
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core::TensorValue prompt_scale;
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};
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std::shared_ptr<const OWSMCTCV4Assets> load_owsm_ctc_assets(const std::filesystem::path & path);
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std::unique_ptr<OWSMCTCV4Weights> load_owsm_ctc_weights(
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const OWSMCTCV4Assets & assets,
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core::ExecutionContext & execution,
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assets::TensorStorageType type);
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class OWSMCTCV4EBranchformerRuntime {
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public:
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OWSMCTCV4EBranchformerRuntime(const OWSMCTCV4Assets & assets, const OWSMCTCV4Weights & weights,
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core::ExecutionContext & execution);
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~OWSMCTCV4EBranchformerRuntime();
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std::vector<int32_t> frame_tokens(const std::vector<float> & samples,
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int32_t language, int32_t task);
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private:
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struct Graphs;
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const OWSMCTCV4Assets & assets_;
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const OWSMCTCV4Weights & 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_ctc_loader();
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} // namespace engine::models::owsm_ctc
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