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86 lines
2.6 KiB
C++
86 lines
2.6 KiB
C++
#pragma once
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#include "engine/framework/assets/tensor_source.h"
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#include "engine/framework/core/backend.h"
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#include "engine/community_models/outetts/assets.h"
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#include <cstddef>
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#include <cstdint>
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#include <memory>
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#include <string_view>
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#include <vector>
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namespace engine::models::outetts {
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struct OuteTTSGenerateOptions {
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int64_t max_new_tokens = 4096;
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float temperature = 0.4F;
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float repetition_penalty = 1.1F;
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int64_t repetition_window = 64;
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int64_t top_k = 40;
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float top_p = 0.9F;
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float min_p = 0.05F;
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uint32_t seed = 0;
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int64_t minimum_new_tokens = 0;
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int32_t allowed_token_min = -1;
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int32_t allowed_token_max = -1;
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int32_t allowed_special_token = -1;
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bool repetition_aware_sampling = false;
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int64_t repetition_aware_window = 10;
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int64_t repetition_aware_threshold = 1;
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// Some upstream samplers sort and slice the nucleus into a compact
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// probability tensor before torch.multinomial. Keep this opt-in because
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// Hugging Face-style generation samples a full-vocabulary tensor with
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// filtered logits instead.
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bool compact_sorted_multinomial = false;
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};
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enum class OuteTTSStopReason {
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Eos,
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AudioEnd,
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MaxTokens,
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ContextLimit,
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};
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std::string_view outetts_stop_reason_name(OuteTTSStopReason reason) noexcept;
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struct OuteTTSGenerateResult {
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std::vector<int32_t> tokens;
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OuteTTSStopReason stop_reason = OuteTTSStopReason::MaxTokens;
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};
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class OuteTTSLlamaRuntime final {
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public:
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OuteTTSLlamaRuntime(
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std::shared_ptr<const OuteTTSAssets> assets,
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core::BackendType backend_type,
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int device,
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int threads,
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#if defined(INTPTR_MAX) && (INTPTR_MAX == INT32_MAX)
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size_t weight_context_bytes = 1024ull * 1024ull * 1024ull,
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#else
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size_t weight_context_bytes = 4ull * 1024ull * 1024ull * 1024ull,
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#endif
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size_t constant_context_bytes = 256ull * 1024ull * 1024ull,
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assets::TensorStorageType weight_storage_type = assets::TensorStorageType::Native);
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~OuteTTSLlamaRuntime();
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OuteTTSLlamaRuntime(const OuteTTSLlamaRuntime &) = delete;
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OuteTTSLlamaRuntime & operator=(const OuteTTSLlamaRuntime &) = delete;
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OuteTTSGenerateResult generate(
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const std::vector<int32_t> & prompt,
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const OuteTTSGenerateOptions & options,
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int32_t eos_id,
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int32_t audio_end_id) const;
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// Releases the reusable cached-step graph while keeping model weights
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// resident. Returns the released KV-cache capacity in tokens.
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int64_t release_cached_step_graph();
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private:
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struct Impl;
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std::unique_ptr<Impl> impl_;
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};
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} // namespace engine::models::outetts
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