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wip submitting of llava image to backend

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Concedo
2024-03-10 17:14:27 +08:00
parent 6990d07a26
commit d943c739a8
5 changed files with 51 additions and 33 deletions
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gpttype_adapter.cpp
+19 -28
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@@ -618,6 +618,24 @@ static void load_grammar(const std::string & gammarstr)
}
}
static bool kcpp_eval_image(llama_context * ctx_llama, float * img_embd, int num_img_tokens, int n_batch, int * n_past) {
int n_embd = llama_n_embd(llama_get_model(ctx_llama));
for (int i = 0; i < num_img_tokens; i += n_batch) {
int n_eval = num_img_tokens - i;
if (n_eval > n_batch) {
n_eval = n_batch;
}
llama_batch batch = {int32_t(n_eval), nullptr, (img_embd+i*n_embd), nullptr, nullptr, nullptr, nullptr, *n_past, 1, 0, };
if (llama_decode(ctx_llama, batch)) {
fprintf(stderr, "\n%s : failed to eval image\n", __func__);
return false;
}
*n_past += n_eval;
}
return true;
}
//given an old GGUF context and a new context that has some middle portion removed,
//find and remove the middle portion from the old context from the KV. Does not fast forward after this destructive action
void PurgeMissingTokens(llama_context * ctx, std::vector<int> &current_context_tokens, std::vector<int> &new_context_tokens, const int genamt, const int nctx)
@@ -1064,6 +1082,7 @@ ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in
if(mmproj_filename != "")
{
printf("\nAttempting to apply Multimodal Projector: %s\n", mmproj_filename.c_str());
clp_ctx = clip_model_load(mmproj_filename.c_str(), /*verbosity=*/ 1);
if(clp_ctx == nullptr) {
fprintf(stderr, "%s: error: failed to load mmproj model!\n", __func__);
@@ -1672,34 +1691,6 @@ generation_outputs gpttype_generate(const generation_inputs inputs)
}
}
// for (int i = 0; i < img.image_tokens; i += n_batch)
// {
// int n_eval = img.image_tokens - i;
// if (n_eval > n_batch)
// {
// n_eval = n_batch;
// }
// const int n_embd = llama_n_embd(model);
// llama_batch batch_img = {
// n_eval,
// nullptr,
// (img.image_embedding + i * n_embd),
// nullptr,
// nullptr,
// nullptr,
// nullptr,
// slot.n_past,
// 1, 0
// };
// if (llama_decode(ctx, batch_img))
// {
// LOG_TEE("%s : failed to eval image\n", __func__);
// return false;
// }
// slot.n_past += n_eval;
// }
if(addedmemory!="")
{
TokenizeString(addedmemory, embd_inp_mem, file_format);