Fabio
c36510c21e
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69 lines
2.8 KiB
C++
69 lines
2.8 KiB
C++
#pragma once
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#include "engine/framework/model_spec/metadata.h"
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#include "engine/framework/runtime/model.h"
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#include "engine/framework/runtime/session_base.h"
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#include "engine/models/hviske_asr/assets.h"
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#include "engine/models/hviske_asr/decoder.h"
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#include "engine/models/hviske_asr/encoder.h"
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#include "engine/models/hviske_asr/frontend.h"
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#include "engine/models/hviske_asr/weights.h"
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#include <cstddef>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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namespace engine::models::hviske_asr {
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std::shared_ptr<runtime::IVoiceModelLoader> make_hviske_asr_loader();
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class HviskeASRSession final
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: public runtime::RuntimeSessionBase
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, public runtime::IOfflineVoiceTaskSession {
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public:
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HviskeASRSession(
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runtime::TaskSpec task,
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runtime::SessionOptions options,
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std::shared_ptr<const HviskeASRAssets> assets,
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std::shared_ptr<const engine::model_spec::ModelContract> contract);
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~HviskeASRSession() override;
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std::string family() const override;
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runtime::VoiceTaskKind task_kind() const override;
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runtime::RunMode run_mode() const override;
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void prepare(const runtime::SessionPreparationRequest & request) override;
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runtime::TaskResult run(const runtime::TaskRequest & request) override;
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private:
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struct Segment {
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runtime::AudioBuffer audio;
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};
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std::vector<Segment> prepare_segments(
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const runtime::AudioBuffer & audio,
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const std::unordered_map<std::string, std::string> & options) const;
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std::string language_for_request(
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const runtime::TaskRequest & request,
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const std::unordered_map<std::string, std::string> & options) const;
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bool punctuation_for_request(const std::unordered_map<std::string, std::string> & options) const;
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HviskeDecodingOptions decoding_options_for_request(
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const std::unordered_map<std::string, std::string> & options) const;
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runtime::TaskSpec task_;
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std::shared_ptr<const HviskeASRAssets> assets_;
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std::shared_ptr<const engine::model_spec::ModelContract> contract_;
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std::shared_ptr<const HviskeWeights> weights_;
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size_t weight_context_bytes_ = 32ull * 1024ull * 1024ull;
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size_t encoder_graph_arena_bytes_ = 512ull * 1024ull * 1024ull;
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size_t decoder_prefill_graph_arena_bytes_ = 512ull * 1024ull * 1024ull;
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size_t decoder_decode_graph_arena_bytes_ = 512ull * 1024ull * 1024ull;
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engine::assets::TensorStorageType matmul_weight_storage_type_ = engine::assets::TensorStorageType::Native;
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engine::assets::TensorStorageType conv_weight_storage_type_ = engine::assets::TensorStorageType::Native;
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HviskeFrontend frontend_;
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std::unique_ptr<HviskeConformerEncoderRuntime> encoder_;
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std::unique_ptr<HviskeDecoderRuntime> decoder_;
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};
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} // namespace engine::models::hviske_asr
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