hf_text-generation-inference/backends/trtllm/include/ffi.h

76 lines
1.9 KiB
C++

//
// Created by mfuntowicz on 7/11/24.
//
#ifndef TGI_TRTLLM_BACKEND_FFI_H
#define TGI_TRTLLM_BACKEND_FFI_H
#include <cstddef>
#include "backend.h"
namespace huggingface::tgi::backends {
class TensorRtLlmBackendImpl;
}
#include "backends/trtllm/src/lib.rs.h"
namespace huggingface::tgi::backends {
// struct GenerationContext;
class TensorRtLlmBackendImpl : public TensorRtLlmBackend {
public:
/***
*
* @param engineFolder
* @param executorWorker
*/
TensorRtLlmBackendImpl(const std::string_view &engineFolder, const std::string_view &executorWorker);
/***
*
* @return
*/
bool IsReady() const;
/***
*
* @param tokens
* @param topK
* @param topP
* @param temperature
* @param repetition_penalty
* @param frequency_penalty
* @param seed
* @return
*/
[[nodiscard("returned request id should be used to refer to the request's generation result later on")]]
uint64_t
Submit(rust::Slice<const uint32_t> tokens, int32_t topK, float_t topP, float_t temperature,
float_t repetition_penalty, float_t frequency_penalty, uint64_t seed);
/***
*
* @param requestId
* @param ctx
* @param callback
* @return
*/
size_t StreamTokens(
const RequestId requestId,
huggingface::tgi::backends::GenerationContext *ctx,
rust::Fn<void(huggingface::tgi::backends::GenerationContext *,
huggingface::tgi::backends::GenerationStep)> callback);
};
/***
*
* @param engineFolder
* @return
*/
std::unique_ptr<TensorRtLlmBackendImpl> CreateTensorRtLlmBackend(rust::Str engineFolder, rust::Str executorWorker);
}
#endif //TGI_TRTLLM_BACKEND_FFI_H