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Merged
merged 1 commit into from
Nov 14, 2025
Merged

Run lintrunner and fix formatting issues #849

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2 changes: 1 addition & 1 deletion onnxruntime/core/providers/openvino/openvino_provider_factory.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -193,7 +193,7 @@ static void ParseInnerMap(const nlohmann::json& json_map, ov::AnyMap& inner_map,
const size_t max_levels = 8;
if (level >= max_levels) {
ORT_THROW("ParseInnerMap: load_config can have only up to " + std::to_string(max_levels) +
" levels of nested maps. Current level = " + std::to_string(level));
" levels of nested maps. Current level = " + std::to_string(level));
}

if (!json_map.is_object()) {
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1 change: 0 additions & 1 deletion onnxruntime/core/providers/openvino/ov_interface.h
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Expand Up @@ -48,7 +48,6 @@ typedef std::shared_ptr<OVTensor> OVTensorPtr;

std::optional<bool> queryOVProperty(const std::string& property, const std::string& device_type);


struct OVCore : WeakSingleton<OVCore> {
ov::Core core;

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12 changes: 6 additions & 6 deletions onnxruntime/core/providers/openvino/ov_stateful_patch_utils.cc
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Expand Up @@ -60,7 +60,7 @@ bool ModelHasInputOutputNames(std::shared_ptr<ov::Model> model, const std::strin
}

std::string GetInputOutputName(std::shared_ptr<ov::Model> ov_model,
const std::vector<std::string>& candidate_names) {
const std::vector<std::string>& candidate_names) {
for (const auto& name : candidate_names) {
if (ModelHasInputOutputNames(ov_model, name)) {
return name;
Expand All @@ -78,12 +78,12 @@ void FuseCacheReorder(std::shared_ptr<ov::Model> ov_model,
throw std::runtime_error("Model already has fused cache");
}

// Define input name candidates in priority order
// Define input name candidates in priority order
const std::vector<std::string> input_name_candidates = {
"inputs_embeds", // Default fallback
"input_ids", // Most common
"input_hidden_states", // Alternative
"/model/embed_tokens/Gather_output_0" // Specific model type
"inputs_embeds", // Default fallback
"input_ids", // Most common
"input_hidden_states", // Alternative
"/model/embed_tokens/Gather_output_0" // Specific model type
};

std::string main_input_name = GetInputOutputName(ov_model, input_name_candidates);
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2 changes: 1 addition & 1 deletion onnxruntime/core/providers/openvino/qdq_transformations/qdq_scales_fix.cpp
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Expand Up @@ -472,7 +472,7 @@ struct CustomGraph {
ORT_ENFORCE(type_str != nullptr, "Type string is null in QDQ scales fix.");
auto type_cast = type_str->find("tensor(float)") != std::string::npos ? onnx::TensorProto_DataType_FLOAT : onnx::TensorProto_DataType_FLOAT16;
ORT_ENFORCE((type_cast == onnx::TensorProto_DataType_FLOAT) || (type_str->find("tensor(float16)") != std::string::npos),
"QDQ type misalignment, expected float32 or float16 output");
"QDQ type misalignment, expected float32 or float16 output");
cast_node.AddAttribute("to", static_cast<int64_t>(type_cast));
original_graph.AddEdge(prev.node_ptr->Index(),
cast_node.Index(),
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8 changes: 3 additions & 5 deletions onnxruntime/python/onnxruntime_pybind_state.cc
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Expand Up @@ -2810,8 +2810,7 @@ including arg name, arg type (contains both type and shape).)pbdoc")
ORT_THROW("TunableOp and get_tuning_results are not supported in this build.");
#endif
})
.def(
"set_ep_dynamic_options", [](PyInferenceSession* sess, const py::dict& options) {
.def("set_ep_dynamic_options", [](PyInferenceSession* sess, const py::dict& options) {
std::vector<const char*> keys;
std::vector<const char*> values;
std::vector<std::string> key_strings;
Expand Down Expand Up @@ -2841,9 +2840,8 @@ including arg name, arg type (contains both type and shape).)pbdoc")

if (!status.IsOK()) {
ORT_THROW("Failed to set EP dynamic options: " + status.ErrorMessage());
}
},
R"pbdoc(Set dynamic options for execution providers.
} },
R"pbdoc(Set dynamic options for execution providers.

Args:
options (dict): Dictionary of key-value pairs where both keys and values are strings.
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