Added support for 2025.2 and enabled SimplifiedLayerNormalization op (#714)

* Added support for 2025.2 and SimplifiedLayerNormalization op

* [OVEP] Update OV version to 2025.2.0

* Revert "[OVEP] Update OV version to 2025.2.0"

This reverts commit d129250.

Author: n1harika

cmake/onnxruntime_providers_openvino.cmake

@@ -13,8 +13,8 @@
 
   # Header paths
   find_package(OpenVINO REQUIRED COMPONENTS Runtime ONNX)
-  if(OpenVINO_VERSION VERSION_LESS 2024.5)
-    message(FATAL_ERROR "OpenVINO 2024.5 and newer are supported. Please, use latest OpenVINO release")
+  if(OpenVINO_VERSION VERSION_LESS 2025.0)
+    message(FATAL_ERROR "OpenVINO 2025.0 and newer are supported. Please, use latest OpenVINO release")
   endif()
 
   if(OpenVINO_VERSION VERSION_GREATER_EQUAL 2024.4)

onnxruntime/core/providers/openvino/ov_versions/capability.cc

@@ -41,16 +41,14 @@ GetCapability::GetCapability(const EPCtxHandler& ep_ctx_handler,
     npu_qdq_optimizer_enabled = true;  // see data_ops.cc ~615 where we check for int16 types for gpu, this may change to a better approach later
   }
 
-#if OPENVINO_VERSION_MAJOR == 2024 && OPENVINO_VERSION_MINOR == 5
-  data_ops_ = new DataOps(graph_viewer_, V_2024_5, device_type_, npu_qdq_optimizer_enabled);
-#elif OPENVINO_VERSION_MAJOR == 2024 && OPENVINO_VERSION_MINOR == 6
-  data_ops_ = new DataOps(graph_viewer_, V_2024_6, device_type_, npu_qdq_optimizer_enabled);
-#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 0
+#if OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 0
   data_ops_ = new DataOps(graph_viewer_, V_2025_0, device_type_, npu_qdq_optimizer_enabled);
 #elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 1
   data_ops_ = new DataOps(graph_viewer_, V_2025_1, device_type_, npu_qdq_optimizer_enabled);
+#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 2
+  data_ops_ = new DataOps(graph_viewer_, V_2025_2, device_type_, npu_qdq_optimizer_enabled);
 #else
-  data_ops_ = new DataOps(graph_viewer_, V_2025_1, device_type_, npu_qdq_optimizer_enabled);
+  data_ops_ = new DataOps(graph_viewer_, V_2025_2, device_type_, npu_qdq_optimizer_enabled);
 #endif
 }
 

onnxruntime/core/providers/openvino/ov_versions/data_ops.cc

@@ -229,6 +229,7 @@ std::vector<SupportedOp> supported_op_mode = {
     {"Sigmoid", V_2020_4, {"CPU", "GPU"}},
     {"Sign", V_2020_4, {"CPU"}},
     {"Sign", V_2022_1, {"GPU"}},
+    {"SimplifiedLayerNormalization", V_2025_2, {"CPU", "GPU"}},
     {"Sin", V_2022_1, {"CPU", "GPU"}},
     {"Sinh", V_2020_4, {"CPU"}},
     {"Size", V_2022_1, {"CPU", "GPU"}},
@@ -402,7 +403,7 @@ void DataOps::populate_op_mode_supported() {
 
   // populate unsupportedmode_t
   {
-    UnsupportedOpMode obj = {{V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1},
+    UnsupportedOpMode obj = {{V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1, V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // If the Input of ReduceMax op is UINT8, it is rejected (Due to output mismatch)
                                for (size_t i = 0; i < node->InputDefs().size(); i++) {
@@ -418,7 +419,8 @@ void DataOps::populate_op_mode_supported() {
   }
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2,
-                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1},
+                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1,
+                              V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                const auto& input_args = node->InputDefs();
                                const auto& input_arg = (input_args.size() > 1) ? input_args[1] : input_args[0];
@@ -437,7 +439,8 @@ void DataOps::populate_op_mode_supported() {
   }
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2,
-                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1},
+                              V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1,
+                              V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // If the operator is unsqueeze
                                // If axes is an input, then we cannot produce a static graph.
@@ -452,8 +455,8 @@ void DataOps::populate_op_mode_supported() {
     op_list_.insert({"Unsqueeze", obj});
   }
   {
-    UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6,
-                              V_2025_0, V_2025_1},
+    UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5,
+                              V_2024_6, V_2025_0, V_2025_1, V_2025_2},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // check for attributes
                                auto& upsample_attr = node->GetAttributes();

onnxruntime/core/providers/openvino/ov_versions/data_ops.h

@@ -35,7 +35,8 @@ enum versionNum {
   V_2024_5,
   V_2024_6,
   V_2025_0,
-  V_2025_1
+  V_2025_1,
+  V_2025_2
 };
 
 using VersionNum = enum versionNum;