voice_audio_multi/include/engine/models/hviske_asr/weights.h
Fabio c36510c21e
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Initial import: audio.cpp with Orange Pi documentation
2026-11-04 19:05:22 +01:00

89 lines
3.1 KiB
C++

#pragma once
#include "engine/framework/assets/tensor_source.h"
#include "engine/framework/core/backend_weight_store.h"
#include "engine/framework/modules/attention/types.h"
#include "engine/framework/modules/conv_modules.h"
#include "engine/framework/modules/linear_module.h"
#include "engine/framework/modules/norm_modules.h"
#include "engine/framework/modules/streaming_conv_modules.h"
#include "engine/models/hviske_asr/assets.h"
#include <memory>
#include <vector>
namespace engine::models::hviske_asr {
struct HviskeBatchNormEvalWeights {
engine::core::TensorValue scale;
engine::core::TensorValue bias;
};
struct HviskeSubsamplingWeights {
engine::modules::Conv2dWeights conv0;
engine::core::TensorValue depthwise1_weight;
engine::core::TensorValue depthwise1_bias;
engine::modules::Conv2dWeights pointwise1;
engine::core::TensorValue depthwise2_weight;
engine::core::TensorValue depthwise2_bias;
engine::modules::Conv2dWeights pointwise2;
engine::modules::LinearWeights linear;
};
struct HviskeConformerLayerWeights {
engine::modules::NormWeights norm_feed_forward1;
engine::modules::NormWeights norm_self_att;
engine::modules::NormWeights norm_conv;
engine::modules::NormWeights norm_feed_forward2;
engine::modules::NormWeights norm_out;
engine::modules::LinearWeights ff1_linear1;
engine::modules::LinearWeights ff1_linear2;
engine::modules::LinearWeights ff2_linear1;
engine::modules::LinearWeights ff2_linear2;
engine::modules::RelativeAttentionWeights self_attn;
engine::modules::LinearWeights conv_pointwise1;
engine::modules::DepthwiseConv1dWeights conv_depthwise;
HviskeBatchNormEvalWeights conv_norm;
engine::modules::LinearWeights conv_pointwise2;
};
struct HviskeConformerWeights {
HviskeSubsamplingWeights subsampling;
std::vector<HviskeConformerLayerWeights> layers;
engine::modules::LinearWeights encoder_projector;
};
struct HviskeDecoderLayerWeights {
engine::modules::NormWeights self_norm;
engine::modules::AttentionWeights self_attn;
engine::modules::NormWeights cross_norm;
engine::modules::AttentionWeights cross_attn;
engine::modules::NormWeights ff_norm;
engine::modules::LinearWeights ff_in;
engine::modules::LinearWeights ff_out;
};
struct HviskeDecoderWeights {
engine::core::TensorValue token_embedding;
engine::core::TensorValue position_embedding;
engine::modules::NormWeights embedding_norm;
std::vector<HviskeDecoderLayerWeights> layers;
engine::modules::NormWeights final_norm;
engine::modules::LinearWeights classifier;
};
struct HviskeWeights {
std::shared_ptr<engine::core::BackendWeightStore> store;
HviskeConformerWeights encoder;
HviskeDecoderWeights decoder;
};
std::shared_ptr<const HviskeWeights> load_hviske_weights(
const HviskeASRAssets & assets,
ggml_backend_t backend,
engine::core::BackendType backend_type,
engine::assets::TensorStorageType matmul_storage_type,
engine::assets::TensorStorageType conv_storage_type,
size_t weight_context_bytes);
} // namespace engine::models::hviske_asr