122 lines
3.1 KiB
C++
122 lines
3.1 KiB
C++
//
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// Created by Morgan Funtowicz on 6/30/24.
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//
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#ifndef TGI_TRTLLM_BACKEND_H
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#define TGI_TRTLLM_BACKEND_H
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#include <cmath>
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#include <filesystem>
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#include <span>
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#include <vector>
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#include <nlohmann/json.hpp>
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#include <tensorrt_llm/runtime/common.h>
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#include <tensorrt_llm/executor/executor.h>
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#include <tensorrt_llm/plugins/api/tllmPlugin.h>
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using json = nlohmann::json;
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namespace tle = tensorrt_llm::executor;
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namespace huggingface::tgi::backends {
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using RequestId = tle::IdType;
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using TokenId = tle::TokenIdType;
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/**
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* Initialize all the components required by TRTLLM.
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* It is required to call this function before attempting to load any engine
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*/
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void InitializeBackend();
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/**
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*
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* @param config TensorRT-LLM configuration object
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* @param workerPath Path to the "executorWorker" provided by TensorRT-LLM when using orchestrator mode
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* @return
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*/
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tle::ExecutorConfig GetExecutorConfig(const json &config, const std::string &workerPath);
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/**
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* Get the sampling configuration from the parameters provided by TGI
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* @param topK
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* @param topP
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* @param temperature
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* @param repetition_penalty
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* @param frequency_penalty
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* @param seed
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* @return
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*/
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tle::SamplingConfig GetSamplingConfig(
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uint32_t topK,
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float_t topP,
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float_t temperature,
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float_t repetition_penalty,
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float_t frequency_penalty,
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uint64_t seed
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);
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/**
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*
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*/
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class TensorRtLlmBackend {
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private:
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const json config;
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tle::Executor executor;
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public:
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explicit TensorRtLlmBackend(
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const std::filesystem::path &engineFolder,
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const std::filesystem::path &executorWorker
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);
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/**
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* Indicate if the backend is ready to accept incoming request
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* @return true if ready, false otherwise
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*/
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[[nodiscard]] bool IsReady() const;
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/**
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* Query the executor for the number of token available for pulling
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* @return
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*/
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[[nodiscard]] size_t NumResponsesReady() const;
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/**
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* Submit a new generation task to the executor
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* @param tokens
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* @param topK
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* @param topP
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* @param temperature
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* @param repetition_penalty
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* @param frequency_penalty
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* @param seed
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* @return Request id related to this generation for reference
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*/
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[[nodiscard]] RequestId Submit(
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const std::vector<TokenId> &tokens,
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int32_t topK,
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float_t topP,
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float_t temperature,
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float_t repetition_penalty,
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float_t frequency_penalty,
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uint64_t seed
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);
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/**
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*
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* @param requestId The request id to poll the generation results
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* @return
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*/
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std::vector<tle::Response> Poll(RequestId requestId);
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/**
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* Stop the underlying executor
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*/
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void Shutdown();
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};
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}
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#endif //TGI_TRTLLM_BACKEND_H
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