Fix test-backend-ops

ggml/src/ggml-openvino/ggml-decoder.cpp

@@ -272,7 +272,7 @@ ov::PartialShape GgmlOvDecoder::get_graph_input_shape(const ggml_tensor* src) co
         input_shape = ov::PartialShape{m_context_size, m_num_heads_kv, m_head_size};
     } else if (name.find("cache_v") == 0) {
         input_shape = ov::PartialShape{m_num_heads_kv, m_head_size, m_context_size};
-    } else if (const auto* op = get_tensor_used_op(src); op->op == GGML_OP_SET_ROWS) {
+    } else if (const auto* op = get_tensor_used_op(src); op && op->op == GGML_OP_SET_ROWS) {
         input_shape = ov::PartialShape{1, 1, -1};
         if (m_is_static) {
             if (m_is_first_token) {
@@ -324,6 +324,9 @@ void GgmlOvDecoder::add_extra_inputs() {
 }
 
 const ggml_tensor* GgmlOvDecoder::get_tensor_used_op(const ggml_tensor* tensor) const {
+    if (tensor == nullptr) {
+        return nullptr;
+    }
     for (int i = 0; i < m_cgraph->n_nodes; i++) {
         const auto* node = m_cgraph->nodes[i];
         for (int j = 0; j < GGML_MAX_SRC; j++) {
@@ -332,7 +335,7 @@ const ggml_tensor* GgmlOvDecoder::get_tensor_used_op(const ggml_tensor* tensor)
             }
         }
     }
-    throw std::runtime_error("Tensor not found in cgraph");
+    return nullptr;
 }
 
 const ggml_tensor* GgmlOvDecoder::get_tensor_from_name(const std::string& name) const {

ggml/src/ggml-openvino/ggml-openvino.cpp

@@ -238,6 +238,10 @@ static ggml_backend_buffer_t ggml_backend_openvino_device_buffer_from_host_ptr(g
 
 static bool is_op_unsupported_case(const ggml_tensor* op) {
     if (op->op == GGML_OP_SOFT_MAX) {
+        if (op->src[2] != nullptr) {
+            GGML_LOG_WARN("OpenVINO backend does not support SOFT_MAX with sinks\n");
+            return true;
+        }
         float scale = 1.0f;
         float max_bias = 0.0f;
         const auto* op_params = op->op_params;

ggml/src/ggml-openvino/utils.cpp

@@ -329,7 +329,7 @@ ov::Tensor get_ov_input_tensor(std::shared_ptr<GgmlOvDecoder> ggml_decoder, cons
             }
 
         } else if (const auto* op = ggml_decoder->get_tensor_used_op(ggml_decoder->get_tensor_from_name(param_name));
-                   op->op == GGML_OP_SET_ROWS && is_static && is_first_token) {
+                   op && op->op == GGML_OP_SET_ROWS && is_static && is_first_token) {
             input_tensor = ov::Tensor(ov::element::i64, ov::Shape{1});
         } else {
             input_tensor = convert_ggml_input_to_ov(ggml_decoder, param_name);