Fabio
c36510c21e
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100 lines
3.5 KiB
C++
100 lines
3.5 KiB
C++
#pragma once
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/core/backend_weight_store.h"
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#include "engine/framework/core/execution_context.h"
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#include "engine/framework/modules/conv_modules.h"
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#include "engine/framework/modules/linear_module.h"
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#include "engine/framework/modules/norm_modules.h"
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#include "engine/framework/modules/streaming_conv_modules.h"
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#include "engine/models/index_tts2/assets.h"
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#include "engine/models/index_tts2/audio_features.h"
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#include "ggml-backend.h"
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#include <memory>
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#include <vector>
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namespace engine::models::index_tts2 {
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struct IndexTTS2Wav2Vec2BertAttentionWeights {
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engine::modules::LinearWeights q;
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engine::modules::LinearWeights k;
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engine::modules::LinearWeights v;
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engine::modules::LinearWeights out;
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engine::core::TensorValue distance_embedding;
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};
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struct IndexTTS2Wav2Vec2BertConvWeights {
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engine::modules::NormWeights layer_norm;
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engine::modules::Conv1dWeights pointwise_in;
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engine::modules::DepthwiseConv1dWeights depthwise;
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engine::modules::NormWeights depthwise_layer_norm;
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engine::modules::Conv1dWeights pointwise_out;
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};
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struct IndexTTS2Wav2Vec2BertLayerWeights {
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engine::modules::NormWeights ffn1_norm;
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engine::modules::LinearWeights ffn1_in;
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engine::modules::LinearWeights ffn1_out;
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engine::modules::NormWeights self_attn_norm;
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IndexTTS2Wav2Vec2BertAttentionWeights self_attn;
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IndexTTS2Wav2Vec2BertConvWeights conv;
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engine::modules::NormWeights ffn2_norm;
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engine::modules::LinearWeights ffn2_in;
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engine::modules::LinearWeights ffn2_out;
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engine::modules::NormWeights final_norm;
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};
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struct IndexTTS2Wav2Vec2BertWeights {
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std::shared_ptr<engine::core::BackendWeightStore> store;
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engine::modules::NormWeights feature_norm;
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engine::modules::LinearWeights feature_projection;
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std::vector<IndexTTS2Wav2Vec2BertLayerWeights> layers;
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engine::core::TensorValue semantic_mean;
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engine::core::TensorValue semantic_std;
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};
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struct IndexTTS2SemanticEmbedding {
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std::vector<float> values;
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int64_t frames = 0;
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int64_t dims = 0;
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};
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std::shared_ptr<const IndexTTS2Wav2Vec2BertWeights> load_index_tts2_wav2vec2bert_weights(
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const IndexTTS2Assets & assets,
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ggml_backend_t backend,
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engine::core::BackendType backend_type,
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engine::assets::TensorStorageType matmul_storage_type,
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engine::assets::TensorStorageType conv_storage_type,
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size_t weight_context_bytes);
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class IndexTTS2Wav2Vec2BertRuntime {
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public:
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IndexTTS2Wav2Vec2BertRuntime(
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std::shared_ptr<const IndexTTS2Assets> assets,
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engine::core::ExecutionContext & execution,
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size_t graph_arena_bytes,
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size_t weight_context_bytes,
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engine::assets::TensorStorageType matmul_storage_type,
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engine::assets::TensorStorageType conv_storage_type);
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~IndexTTS2Wav2Vec2BertRuntime();
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IndexTTS2Wav2Vec2BertRuntime(const IndexTTS2Wav2Vec2BertRuntime &) = delete;
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IndexTTS2Wav2Vec2BertRuntime & operator=(const IndexTTS2Wav2Vec2BertRuntime &) = delete;
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void prepare(int64_t frames);
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IndexTTS2SemanticEmbedding encode(const IndexTTS2SemanticFeatureOutput & features);
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void release_graph();
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private:
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class Graph;
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std::shared_ptr<const IndexTTS2Assets> assets_;
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engine::core::ExecutionContext * execution_ = nullptr;
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size_t graph_arena_bytes_ = 0;
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std::shared_ptr<const IndexTTS2Wav2Vec2BertWeights> weights_;
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std::unique_ptr<Graph> graph_;
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};
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} // namespace engine::models::index_tts2
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