llama.cpp/ggml-qnn.h

43 lines
1.1 KiB
C

#pragma once
#include "ggml.h"
#include "ggml-backend.h"
#ifdef __cplusplus
extern "C" {
#endif
#define GGML_QNN_MAX_DEVICES 3
enum QNNBackend {
QNN_BACKEND_CPU,
QNN_BACKEND_GPU,
QNN_BACKEND_NPU,
QNN_BACKEND_GGML, //"fake" QNN backend, used for compare performance between QNN and original GGML
};
GGML_API int ggml_backend_qnn_reg_devices(void);
/**
*
* @param device 0: QNN_BACKEND_CPU 1: QNN_BACKEND_GPU 2: QNN_BACKEND_NPU
* @param qnn_lib_path qnn library path, such as "/data/local/tmp/" on Android or specified in JNI layer
* @return
*/
GGML_API ggml_backend_t ggml_backend_qnn_init(size_t dev_num, const char * qnn_lib_path);
GGML_API bool ggml_backend_is_qnn(ggml_backend_t backend);
GGML_API void ggml_backend_qnn_set_n_threads(ggml_backend_t backend, int thread_counts);
GGML_API int ggml_backend_qnn_get_device_count(void);
GGML_API void ggml_backend_qnn_get_device_description(size_t dev_num, char * description, size_t description_size);
GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_qnn_buffer_type(size_t dev_num);
#ifdef __cplusplus
}
#endif