ggml-jni: update latest source code of ggml/whispercpp/llamacpp from upstream

[zhouwg]

Purpose

This PR is intend to

• update latest source code of ggml/whispercpp/llamacpp from upstream( for purpose of trying to make a GPT-4V style multimodal LLM MiniCPM-V works fine on Xiaomi 14)

• refine ggml-jni/project accordingly for purpose of update/merge latest source code of ggml/whispercpp/llamacpp more easily&quickly in the next time to reduce redundant meaningless work load

Status

1. update source code of ggml/whispercpp/llamacpp from upstream and refine ggml-jni/project accordingly

There are many issues during update source code from upstream ggml due to the huge changes in the latest source of ggml/whispercpp/llamacpp from upstream.

the following is a example which I can't believe this because this change cause crash in ggml-qnn.cpp:

//from
//
//void ggml_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) {
//
//to
//
//void ggml_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor, struct ggml_compute_state * state) {
//

some issues already fixed and I'm working on figure out why ggml-qnn.cpp does not works fine with latest source code from upstream llamacpp as expected(ggml-qnn.cpp works fine as expected with llamacpp in branch kantv-1.3.7).

it seems the maintainers of upstream llamacpp are working on backward inference(for model training?) in upstream ggml. respect!

2. validation on Xiaomi14

• ASR(using whisper.cpp) works fine/well as expected with QNN backend;
• llm inference with QNN backend does't work fine as expected with QNN backend(ggml-qnn.cpp works fine as expected with llamacpp in branch kantv-1.3.7)
• minicpm-v inference crash on Xiaomi14(minicpm-v inference works fine on Linux(Ubuntu 20.04))
• any other test cases works fine as expected or keep same behavior with branch kantv-1.3.7 on Xiaomi14

close and move to #203