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102 lines
3.8 KiB
C++
102 lines
3.8 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/modules/transformers/transformer_blocks.h"
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#include "engine/framework/modules/conditioning_modules.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/pocket_tts/assets.h"
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#include "ggml-backend.h"
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#include <cstddef>
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#include <memory>
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#include <optional>
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#include <vector>
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namespace engine::models::pocket_tts {
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struct PocketTTSBackendResidualBlockWeights {
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modules::StreamingConv1dWeights conv1;
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modules::StreamingConv1dWeights conv2;
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};
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struct PocketTTSBackendPackedAttentionWeights {
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core::TensorValue in_proj_weight;
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core::TensorValue out_proj_weight;
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};
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struct PocketTTSBackendTransformerLayerWeights {
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modules::NormWeights norm1;
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PocketTTSBackendPackedAttentionWeights self_attn;
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std::optional<modules::LayerScaleWeights> layer_scale_1;
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modules::NormWeights norm2;
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modules::FeedForwardWeights feed_forward;
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std::optional<modules::LayerScaleWeights> layer_scale_2;
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};
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struct PocketTTSBackendFlowWeights {
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modules::LinearWeights input_linear;
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std::vector<PocketTTSBackendTransformerLayerWeights> transformer_layers;
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modules::TimedConditionedFlowMLPWeights flow_net;
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modules::NormWeights out_norm;
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modules::LinearWeights out_eos;
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core::TensorValue speaker_proj_weight;
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};
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struct PocketTTSBackendMimiEncoderWeights {
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modules::StreamingConv1dWeights input_conv;
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PocketTTSBackendResidualBlockWeights block0;
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modules::StreamingConv1dWeights downsample0;
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PocketTTSBackendResidualBlockWeights block1;
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modules::StreamingConv1dWeights downsample1;
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PocketTTSBackendResidualBlockWeights block2;
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modules::StreamingConv1dWeights downsample2;
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modules::StreamingConv1dWeights output_conv;
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std::vector<PocketTTSBackendTransformerLayerWeights> transformer_layers;
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modules::StreamingConv1dWeights downsample_conv;
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};
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struct PocketTTSBackendMimiDecoderWeights {
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std::vector<PocketTTSBackendTransformerLayerWeights> transformer_layers;
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core::TensorValue quantizer_output_proj_weight;
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core::TensorValue encoder_upsample_weight;
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modules::StreamingConv1dWeights input_projection;
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modules::ConvTranspose1dWeights stage0_upsample;
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std::vector<float> stage0_upsample_bias_values;
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PocketTTSBackendResidualBlockWeights stage0_block;
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modules::ConvTranspose1dWeights stage1_upsample;
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std::vector<float> stage1_upsample_bias_values;
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PocketTTSBackendResidualBlockWeights stage1_block;
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modules::ConvTranspose1dWeights stage2_upsample;
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std::vector<float> stage2_upsample_bias_values;
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PocketTTSBackendResidualBlockWeights stage2_block;
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modules::StreamingConv1dWeights output_projection;
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};
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struct PocketTTSBackendWeights {
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core::BackendType backend_type = core::BackendType::Cpu;
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bool has_mimi_encoder = true;
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std::shared_ptr<core::BackendWeightStore> flow_store;
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std::shared_ptr<core::BackendWeightStore> mimi_encoder_store;
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std::shared_ptr<core::BackendWeightStore> mimi_decoder_store;
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PocketTTSHostWeights host;
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PocketTTSBackendFlowWeights flow;
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PocketTTSBackendMimiEncoderWeights mimi_encoder;
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PocketTTSBackendMimiDecoderWeights mimi_decoder;
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};
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std::shared_ptr<const PocketTTSBackendWeights> load_pocket_tts_backend_weights(
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const PocketTTSAssets & manifest,
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ggml_backend_t backend,
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core::BackendType backend_type,
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assets::TensorStorageType matmul_storage_type,
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assets::TensorStorageType conv_storage_type,
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size_t flow_context_bytes,
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size_t mimi_encoder_context_bytes,
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size_t mimi_decoder_context_bytes);
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} // namespace engine::models::pocket_tts
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