Fabio
c36510c21e
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63 lines
2.1 KiB
C++
63 lines
2.1 KiB
C++
#pragma once
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#include "engine/models/gigaam_asr/conformer.h"
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#include "engine/models/gigaam_asr/frontend.h"
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#include "engine/framework/assets/resource_bundle.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/recurrent_modules.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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namespace engine::models::gigaam_asr {
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struct GigaAMAssets {
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assets::ResourceBundle resources;
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std::shared_ptr<const assets::TensorSource> source;
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ConformerConfig encoder;
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int64_t layers = 0;
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bool rnnt = false;
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int64_t classes = 0;
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int64_t predictor_hidden = 0;
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int64_t joint_hidden = 0;
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int64_t max_symbols_per_step = 10;
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std::vector<std::string> characters;
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std::vector<tokenizers::SentencePiecePiece> pieces;
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std::unique_ptr<GigaAMFrontend> frontend;
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std::string decode(const std::vector<int32_t> & ids) const;
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};
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struct GigaAMWeights {
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std::unique_ptr<core::BackendWeightStore> store;
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ConformerWeights encoder;
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modules::LinearWeights ctc, joint_encoder, joint_predictor, joint_output;
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modules::LSTMCellWeights predictor;
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core::TensorValue embedding;
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};
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std::shared_ptr<const GigaAMAssets> load_gigaam_assets(const std::filesystem::path & path);
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std::unique_ptr<GigaAMWeights> load_gigaam_weights(
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const GigaAMAssets & assets, core::ExecutionContext & execution, assets::TensorStorageType type);
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struct GigaAMDecodedTokens {
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std::vector<int32_t> ids;
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std::vector<int64_t> frames;
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int64_t encoder_frames = 0;
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double encoder_ms = 0.0;
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double inference_ms = 0.0;
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};
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class GigaAMRuntime {
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public:
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GigaAMRuntime(const GigaAMAssets & assets, const GigaAMWeights & weights, core::ExecutionContext & execution);
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~GigaAMRuntime();
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GigaAMDecodedTokens transcribe(const audio::AudioTensor & features, bool timestamps = false);
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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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std::shared_ptr<runtime::IVoiceModelLoader> make_gigaam_asr_loader();
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} // namespace engine::models::gigaam_asr
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