mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-08 07:10:32 +00:00
129 lines
4.8 KiB
C++
129 lines
4.8 KiB
C++
#include "llmodel_c.h"
|
|
|
|
#include "gptj.h"
|
|
#include "llamamodel.h"
|
|
|
|
struct LLModelWrapper {
|
|
LLModel *llModel = nullptr;
|
|
LLModel::PromptContext promptContext;
|
|
};
|
|
|
|
llmodel_model llmodel_gptj_create()
|
|
{
|
|
LLModelWrapper *wrapper = new LLModelWrapper;
|
|
wrapper->llModel = new GPTJ;
|
|
return reinterpret_cast<void*>(wrapper);
|
|
}
|
|
|
|
void llmodel_gptj_destroy(llmodel_model gptj)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(gptj);
|
|
delete wrapper->llModel;
|
|
delete wrapper;
|
|
}
|
|
|
|
llmodel_model llmodel_llama_create()
|
|
{
|
|
LLModelWrapper *wrapper = new LLModelWrapper;
|
|
wrapper->llModel = new LLamaModel;
|
|
return reinterpret_cast<void*>(wrapper);
|
|
}
|
|
|
|
void llmodel_llama_destroy(llmodel_model llama)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(llama);
|
|
delete wrapper->llModel;
|
|
delete wrapper;
|
|
}
|
|
|
|
bool llmodel_loadModel(llmodel_model model, const char *model_path)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(model);
|
|
return wrapper->llModel->loadModel(model_path);
|
|
}
|
|
|
|
bool llmodel_isModelLoaded(llmodel_model model)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(model);
|
|
return wrapper->llModel->isModelLoaded();
|
|
}
|
|
|
|
// Wrapper functions for the C callbacks
|
|
bool prompt_wrapper(int32_t token_id, void *user_data) {
|
|
llmodel_prompt_callback callback = reinterpret_cast<llmodel_prompt_callback>(user_data);
|
|
return callback(token_id);
|
|
}
|
|
|
|
bool response_wrapper(int32_t token_id, const std::string &response, void *user_data) {
|
|
llmodel_response_callback callback = reinterpret_cast<llmodel_response_callback>(user_data);
|
|
return callback(token_id, response.c_str());
|
|
}
|
|
|
|
bool recalculate_wrapper(bool is_recalculating, void *user_data) {
|
|
llmodel_recalculate_callback callback = reinterpret_cast<llmodel_recalculate_callback>(user_data);
|
|
return callback(is_recalculating);
|
|
}
|
|
|
|
void llmodel_prompt(llmodel_model model, const char *prompt,
|
|
llmodel_response_callback prompt_callback,
|
|
llmodel_response_callback response_callback,
|
|
llmodel_recalculate_callback recalculate_callback,
|
|
llmodel_prompt_context *ctx)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(model);
|
|
|
|
// Create std::function wrappers that call the C function pointers
|
|
std::function<bool(int32_t)> prompt_func =
|
|
std::bind(&prompt_wrapper, std::placeholders::_1, reinterpret_cast<void*>(prompt_callback));
|
|
std::function<bool(int32_t, const std::string&)> response_func =
|
|
std::bind(&response_wrapper, std::placeholders::_1, std::placeholders::_2, reinterpret_cast<void*>(response_callback));
|
|
std::function<bool(bool)> recalc_func =
|
|
std::bind(&recalculate_wrapper, std::placeholders::_1, reinterpret_cast<void*>(recalculate_callback));
|
|
|
|
// Copy the C prompt context
|
|
wrapper->promptContext.n_past = ctx->n_past;
|
|
wrapper->promptContext.n_ctx = ctx->n_ctx;
|
|
wrapper->promptContext.n_predict = ctx->n_predict;
|
|
wrapper->promptContext.top_k = ctx->top_k;
|
|
wrapper->promptContext.top_p = ctx->top_p;
|
|
wrapper->promptContext.temp = ctx->temp;
|
|
wrapper->promptContext.n_batch = ctx->n_batch;
|
|
wrapper->promptContext.repeat_penalty = ctx->repeat_penalty;
|
|
wrapper->promptContext.repeat_last_n = ctx->repeat_last_n;
|
|
wrapper->promptContext.contextErase = ctx->context_erase;
|
|
|
|
// Call the C++ prompt method
|
|
wrapper->llModel->prompt(prompt, prompt_func, response_func, recalc_func, wrapper->promptContext);
|
|
|
|
// Update the C context by giving access to the wrappers raw pointers to std::vector data
|
|
// which involves no copies
|
|
ctx->logits = wrapper->promptContext.logits.data();
|
|
ctx->logits_size = wrapper->promptContext.logits.size();
|
|
ctx->tokens = wrapper->promptContext.tokens.data();
|
|
ctx->tokens_size = wrapper->promptContext.tokens.size();
|
|
|
|
// Update the rest of the C prompt context
|
|
ctx->n_past = wrapper->promptContext.n_past;
|
|
ctx->n_ctx = wrapper->promptContext.n_ctx;
|
|
ctx->n_predict = wrapper->promptContext.n_predict;
|
|
ctx->top_k = wrapper->promptContext.top_k;
|
|
ctx->top_p = wrapper->promptContext.top_p;
|
|
ctx->temp = wrapper->promptContext.temp;
|
|
ctx->n_batch = wrapper->promptContext.n_batch;
|
|
ctx->repeat_penalty = wrapper->promptContext.repeat_penalty;
|
|
ctx->repeat_last_n = wrapper->promptContext.repeat_last_n;
|
|
ctx->context_erase = wrapper->promptContext.contextErase;
|
|
}
|
|
|
|
void llmodel_setThreadCount(llmodel_model model, int32_t n_threads)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(model);
|
|
wrapper->llModel->setThreadCount(n_threads);
|
|
}
|
|
|
|
int32_t llmodel_threadCount(llmodel_model model)
|
|
{
|
|
LLModelWrapper *wrapper = reinterpret_cast<LLModelWrapper*>(model);
|
|
return wrapper->llModel->threadCount();
|
|
}
|