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Added support for 2025.2 and enabled SimplifiedLayerNormalization op #714

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Merged
vthaniel merged 3 commits into from
Jul 17, 2025
Merged

Added support for 2025.2 and enabled SimplifiedLayerNormalization op #714

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4f548b5
Added support for 2025.2 and SimplifiedLayerNormalization op
n1harika Jun 17, 2025
3265ebe
[OVEP] Update OV version to 2025.2.0
n1harika Jun 20, 2025
5ad458a
Revert "[OVEP] Update OV version to 2025.2.0"
n1harika Jun 20, 2025
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4 changes: 2 additions & 2 deletions cmake/onnxruntime_providers_openvino.cmake
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Original file line number Diff line number Diff line change
Expand Up @@ -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)
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10 changes: 4 additions & 6 deletions onnxruntime/core/providers/openvino/ov_versions/capability.cc
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Expand Up @@ -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
}

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13 changes: 8 additions & 5 deletions onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
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Expand Up @@ -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"}},
Expand Down Expand Up @@ -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++) {
Expand All @@ -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];
Expand All @@ -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.
Expand All @@ -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();
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3 changes: 2 additions & 1 deletion onnxruntime/core/providers/openvino/ov_versions/data_ops.h
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Expand Up @@ -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;
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