Fabio
c36510c21e
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71 lines
2 KiB
C++
71 lines
2 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/core/module.h"
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#include "engine/framework/modules/transformers/causal_decoder_runtime.h"
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#include "engine/framework/runtime/kv_cache.h"
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#include "engine/models/yue2/assets.h"
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#include "engine/models/yue2/types.h"
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#include <cstdint>
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#include <memory>
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#include <random>
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#include <vector>
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namespace engine::models::yue2 {
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struct Yue2ARSamplingWindow {
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int32_t begin = 0;
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int32_t end = 0;
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int32_t stop_token = 0;
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int64_t min_tokens = 0;
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int64_t max_tokens = 0;
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Yue2SamplingConfig sampling;
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};
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struct Yue2ARDevicePrefixState {
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int64_t current_end = 0;
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std::vector<core::TensorValue> keys;
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std::vector<core::TensorValue> values;
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};
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class Yue2ARRuntime {
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public:
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Yue2ARRuntime(
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core::ExecutionContext & execution,
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std::shared_ptr<const Yue2Assets> assets,
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assets::TensorStorageType weight_type,
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size_t weight_context_bytes,
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size_t prefill_graph_arena_bytes,
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size_t decode_graph_arena_bytes,
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bool packed_projections = false,
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int64_t kv_cache_alignment = 1);
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~Yue2ARRuntime();
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std::vector<int32_t> generate(
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const std::vector<int32_t> & prefix,
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const Yue2ARSamplingWindow & window,
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uint64_t seed,
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const std::vector<int32_t> & forced = {});
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std::vector<int32_t> generate_cfg(
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const std::vector<int32_t> & positive_prefix,
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const std::vector<int32_t> & negative_prefix,
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const Yue2ARSamplingWindow & window,
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float guidance_scale,
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uint64_t seed,
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const std::vector<int32_t> & forced = {});
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runtime::TransformerKVState prefill_state(const std::vector<int32_t> & tokens);
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Yue2ARDevicePrefixState prefill_device_state(const std::vector<int32_t> & tokens);
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void release_runtime_graphs();
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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::yue2
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