diff --git a/ggml/src/ggml-qnn.cpp b/ggml/src/ggml-qnn.cpp
index 8ba258d63..0e5e86e4a 100644
--- a/ggml/src/ggml-qnn.cpp
+++ b/ggml/src/ggml-qnn.cpp
@@ -134,8 +134,7 @@ struct ggml_backend_qnn_buffer_type_context {
 //  implementation of QNN backend for GGML
 //
 // =================================================================================================
-static bool ggml_qnn_can_handle_op(ggml_backend_qnn_context *ctx, const struct ggml_tensor *tensor,
-                                   bool b_dump_tensor_info) {
+static bool ggml_qnn_can_handle_op(ggml_backend_qnn_context *ctx, const struct ggml_tensor *tensor) {
     if (ggml_is_empty(tensor) ||
         (!qnn::ggml_qnn_unary_op_array()[tensor->op] && !qnn::ggml_qnn_binary_op_array()[tensor->op])) {
         return false;
@@ -353,13 +352,13 @@ GGML_CALL static ggml_status ggml_backend_qnn_graph_compute(ggml_backend_t backe
 GGML_CALL static bool ggml_backend_qnn_supports_op(ggml_backend_t backend, const ggml_tensor *op) {
     ggml_backend_qnn_context *ctx = (ggml_backend_qnn_context *)backend->context;
 
-    return (ggml_qnn_can_handle_op(ctx, op, false));
+    return ggml_qnn_can_handle_op(ctx, op);
 }
 
 GGML_CALL static bool ggml_backend_qnn_offload_op(ggml_backend_t backend, const ggml_tensor *tensor) {
     ggml_backend_qnn_context *ctx = (ggml_backend_qnn_context *)backend->context;
 
-    return ggml_qnn_can_handle_op(ctx, tensor, false);
+    return ggml_qnn_can_handle_op(ctx, tensor);
 }
 
 static ggml_backend_i ggml_backend_qnn_interface = {
diff --git a/ggml/src/ggml-qnn/graph.hpp b/ggml/src/ggml-qnn/graph.hpp
index 9621ad1b4..462ed9203 100644
--- a/ggml/src/ggml-qnn/graph.hpp
+++ b/ggml/src/ggml-qnn/graph.hpp
@@ -101,10 +101,10 @@ public:
         _tensor_inputs = tensor_inputs;
         _tensor_outputs = tensor_outputs;
 
-        Qnn_OpConfig_t op_config = { .version = QNN_OPCONFIG_VERSION_1,
-                                     .v1 = { _graph_name.c_str(), QNN_OP_PACKAGE_NAME_QTI_AISW, op_name.c_str(), 0,
-                                             nullptr, (uint32_t)_tensor_inputs.size(), _tensor_inputs.data(),
-                                             (uint32_t)_tensor_outputs.size(), _tensor_outputs.data() } };
+        Qnn_OpConfig_t op_config = { /*.version = */ QNN_OPCONFIG_VERSION_1,
+                                     /*.v1 = */ { _graph_name.c_str(), QNN_OP_PACKAGE_NAME_QTI_AISW, op_name.c_str(), 0,
+                                                  nullptr, (uint32_t)_tensor_inputs.size(), _tensor_inputs.data(),
+                                                  (uint32_t)_tensor_outputs.size(), _tensor_outputs.data() } };
         auto error = _qnn_interface->qnn_graph_add_node(_graph_handle, op_config);
         if (error != QNN_SUCCESS) {
             QNN_LOG_ERROR("graphAddNode.error = %d\n", error);