vbatts/llama.cpp
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This commit is contained in:
hongruichen 2024-06-19 17:36:50 +08:00
parent 3fe07eb907
commit 37a1585ead
3 changed files with 21 additions and 21 deletions
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38
ggml-qnn.cpp
View file

@ -205,10 +205,10 @@ static bool qnn_is_valid_params(ggml_backend_qnn_context * ctx, const ggml_tenso
return false;
}
qnn_internal::qnn_instance *instance = nullptr;
Qnn_Tensor_t *tensor_0 = nullptr;
Qnn_Tensor_t *tensor_1 = nullptr;
Qnn_Tensor_t *tensor_2 = nullptr;
qnn::qnn_instance *instance = nullptr;
Qnn_Tensor_t *tensor_0 = nullptr;
Qnn_Tensor_t *tensor_1 = nullptr;
Qnn_Tensor_t *tensor_2 = nullptr;
tensor_0 = (Qnn_Tensor_t *) src0->extra;
tensor_1 = (Qnn_Tensor_t *) src1->extra;
tensor_2 = (Qnn_Tensor_t *) dst->extra;
@ -603,13 +603,13 @@ static bool ggml_qnn_can_handle_op(ggml_backend_qnn_context * ctx,
// keep it for illustrate how to implement a specified GGMPL OP using QNN API + QNN RPC
static void ggml_qnn_add(ggml_backend_qnn_context * ctx, const ggml_tensor * src0,
const ggml_tensor * src1, ggml_tensor * dst) {
Qnn_ErrorHandle_t error = QNN_SUCCESS;
bool graph_initialized = false;
qnn_internal::qnn_instance *instance = nullptr;
std::string graph_name = "ggml_op_qnn_add";
Qnn_GraphHandle_t graph_handle = nullptr;
Qnn_Param_t qnn_params[] = {};
enum ggml_op ggmlop = GGML_OP_ADD;
Qnn_ErrorHandle_t error = QNN_SUCCESS;
bool graph_initialized = false;
qnn::qnn_instance *instance = nullptr;
std::string graph_name = "ggml_op_qnn_add";
Qnn_GraphHandle_t graph_handle = nullptr;
Qnn_Param_t qnn_params[] = {};
enum ggml_op ggmlop = GGML_OP_ADD;
CHECK_PARAMS(ctx, src0, src1, dst);
instance = ctx->instance;
@ -797,13 +797,13 @@ failure:
static void ggml_qnn_mul_mat(ggml_backend_qnn_context * ctx,
const ggml_tensor * src0, const ggml_tensor * src1,
ggml_tensor * dst) {
Qnn_ErrorHandle_t error = QNN_SUCCESS;
bool graph_initialized = false;
qnn_internal::qnn_instance *instance = nullptr;
std::string graph_name = "ggml_op_qnn_mul_mat";
Qnn_GraphHandle_t graph_handle = nullptr;
Qnn_Param_t qnn_params[] = {};
enum ggml_op ggmlop = GGML_OP_MUL_MAT;
Qnn_ErrorHandle_t error = QNN_SUCCESS;
bool graph_initialized = false;
qnn::qnn_instance *instance = nullptr;
std::string graph_name = "ggml_op_qnn_mul_mat";
Qnn_GraphHandle_t graph_handle = nullptr;
Qnn_Param_t qnn_params[] = {};
enum ggml_op ggmlop = GGML_OP_MUL_MAT;
CHECK_PARAMS(ctx, src0, src1, dst);
instance = ctx->instance;
@ -1702,7 +1702,7 @@ ggml_backend_t ggml_backend_qnn_init(size_t device, const char * qnn_lib_path) {
}
}
auto *instance = new qnn_internal::qnn_instance(qnn_lib_path, g_qnn_mgr[device].lib, "");
auto *instance = new qnn::qnn_instance(qnn_lib_path, g_qnn_mgr[device].lib, "");
result = instance->qnn_init(nullptr);
if (0 != result) {
QNN_LOG_WARN(

2
ggml-qnn/backend.hpp
View file

@ -16,7 +16,7 @@ struct ggml_backend_qnn_context {
int threads;
char name[GGML_MAX_NAME];
char lib[GGML_MAX_NAME];
qnn_internal::qnn_instance* instance;
qnn::qnn_instance* instance;
struct ggml_backend* backend;
QNN_INTERFACE_VER_TYPE raw_interface;
QNN_SYSTEM_INTERFACE_VER_TYPE raw_system_interface;

2
ggml-qnn/qnn.hpp
View file

@ -17,7 +17,7 @@
#include "utils.hpp"
#include "logger.hpp"
namespace qnn_internal {
namespace qnn {
// =================================================================================================
//