Fabio
c36510c21e
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66 lines
1.9 KiB
C++
66 lines
1.9 KiB
C++
#pragma once
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/model_spec/package.h"
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#include "engine/framework/tokenizers/hf_tokenizer_json.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::community_models::granite5asr {
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struct Granite5FrontendConfig {
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int64_t sample_rate = 16000;
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int64_t n_fft = 512;
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int64_t win_length = 400;
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int64_t hop_length = 160;
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int64_t n_mels = 80;
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int64_t stack_factor = 2;
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bool deltas = true;
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int64_t delta_win_length = 3;
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float logmel_floor_db = 8.0f;
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};
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struct Granite5ConformerEncoderConfig {
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int64_t hidden_size = 1024;
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int64_t intermediate_size = 4096;
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int64_t num_layers = 16;
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int64_t num_attention_heads = 8;
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int64_t num_key_value_heads = 8;
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int64_t head_dim = 128;
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int64_t context_size = 128;
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int64_t conv_kernel_size = 7;
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int64_t conv_expansion_factor = 2;
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int64_t max_position_embeddings = 512;
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int64_t num_mel_bins = 80;
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int64_t input_features = 320;
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int64_t vocab_size = 16384;
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std::vector<int64_t> subsample_layers = {0, 1};
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};
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struct Granite5ASRConfig {
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std::string model_type = "granite_speech5_ctc";
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int64_t vocab_size = 16384;
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int64_t pad_token_id = 0;
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int64_t blank_token_id = 0;
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Granite5FrontendConfig frontend;
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Granite5ConformerEncoderConfig encoder;
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};
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struct Granite5ASRAssets {
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assets::ResourceBundle resources;
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std::shared_ptr<const assets::TensorSource> source;
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Granite5ASRConfig config;
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std::shared_ptr<tokenizers::HuggingFaceTokenizerJson> tokenizer;
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std::vector<uint8_t> special_token_ids;
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};
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Granite5ASRConfig parse_granite5asr_config(const std::string & json_text);
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std::shared_ptr<const Granite5ASRAssets> load_granite5asr_assets(
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const std::filesystem::path & model_path);
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} // namespace engine::community_models::granite5asr
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