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88 lines
2.3 KiB
C++
88 lines
2.3 KiB
C++
#pragma once
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#include "engine/framework/assets/resource_bundle.h"
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#include <cstdint>
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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::assets {
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class TensorSource;
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}
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namespace engine::models::fun_asr_nano {
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struct FunAsrNanoFrontendConfig {
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int sample_rate = 16000;
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int64_t feature_size = 80;
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int64_t frame_length_ms = 25;
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int64_t frame_shift_ms = 10;
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int64_t lfr_m = 7;
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int64_t lfr_n = 6;
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float preemphasis = 0.97F;
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};
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struct FunAsrNanoSenseVoiceEncoderConfig {
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int64_t num_mel_bins = 80;
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int64_t num_stacked_frames = 7;
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int64_t input_size = 560;
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int64_t d_model = 512;
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int64_t attention_heads = 4;
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int64_t ffn_dim = 2048;
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int64_t layers = 50;
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int64_t timestamp_prediction_layers = 20;
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int64_t kernel_size = 11;
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int64_t max_position_embeddings = 2049;
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std::string activation = "relu";
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};
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struct FunAsrNanoAdaptorConfig {
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int64_t d_model = 1024;
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int64_t attention_heads = 8;
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int64_t ffn_dim = 256;
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int64_t layers = 2;
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std::string activation = "relu";
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};
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struct FunAsrNanoQwen3DecoderConfig {
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int64_t vocab_size = 151936;
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int64_t hidden_size = 1024;
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int64_t intermediate_size = 3072;
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int64_t layers = 28;
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int64_t attention_heads = 16;
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int64_t key_value_heads = 8;
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int64_t head_dim = 128;
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int64_t max_position_embeddings = 40960;
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int64_t bos_token_id = 151643;
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int64_t eos_token_id = 151645;
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float rms_norm_eps = 1.0e-6F;
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float rope_theta = 1000000.0F;
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bool tie_word_embeddings = true;
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};
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struct FunAsrNanoConfig {
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std::string model_type;
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int64_t audio_token_id = 151646;
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int64_t projector_hidden_size = 2048;
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bool tie_word_embeddings = true;
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FunAsrNanoFrontendConfig frontend;
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FunAsrNanoSenseVoiceEncoderConfig encoder;
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FunAsrNanoAdaptorConfig adaptor;
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FunAsrNanoQwen3DecoderConfig text;
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std::vector<std::string> supported_languages = {"zh", "en", "ja"};
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};
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struct FunAsrNanoAssets {
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assets::ResourceBundle resources;
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FunAsrNanoConfig config;
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std::shared_ptr<const assets::TensorSource> model_weights;
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};
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std::shared_ptr<const FunAsrNanoAssets>
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load_fun_asr_nano_assets(const std::filesystem::path &model_path);
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std::shared_ptr<const FunAsrNanoAssets>
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load_fun_asr_nano_assets(assets::ResourceBundle resources);
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} // namespace engine::models::fun_asr_nano
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