Fabio
c36510c21e
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62 lines
1.8 KiB
C++
62 lines
1.8 KiB
C++
#pragma once
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/models/citrinet_asr/assets.h"
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#include "engine/framework/runtime/session.h"
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#include <cstdint>
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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::citrinet_asr {
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struct CitrinetBackendWeights;
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struct CitrinetInferenceResult {
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int64_t input_frames = 0;
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int64_t output_frames = 0;
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int64_t num_classes = 0;
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std::vector<float> logits;
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};
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struct CitrinetFrontendFeatures {
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std::vector<float> values;
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int64_t raw_frames = 0;
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int64_t padded_frames = 0;
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};
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CitrinetFrontendFeatures extract_citrinet_frontend(
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const runtime::AudioBuffer & audio,
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const CitrinetWeights & weights);
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struct CitrinetTranscriptionResult {
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std::string text;
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std::vector<int32_t> token_ids;
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CitrinetInferenceResult inference;
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};
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class CitrinetRuntime {
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public:
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CitrinetRuntime(
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std::shared_ptr<const CitrinetWeights> weights,
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core::ExecutionContext & execution_context,
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assets::TensorStorageType weight_storage_type);
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~CitrinetRuntime();
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CitrinetInferenceResult infer_features(const std::vector<float> & features, int64_t frames);
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CitrinetInferenceResult infer_audio(const runtime::AudioBuffer & audio);
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CitrinetTranscriptionResult transcribe_features(const std::vector<float> & features, int64_t frames);
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CitrinetTranscriptionResult transcribe_audio(const runtime::AudioBuffer & audio);
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private:
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class Graph;
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Graph & ensure_graph(int64_t frames);
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std::shared_ptr<const CitrinetWeights> weights_;
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std::shared_ptr<const CitrinetBackendWeights> backend_weights_;
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core::ExecutionContext * execution_context_ = nullptr;
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std::unique_ptr<Graph> graph_;
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};
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} // namespace engine::models::citrinet_asr
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