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Jemartin/dynamic workload type #492

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6 changes: 6 additions & 0 deletions onnxruntime/core/providers/openvino/backend_manager.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -225,6 +225,12 @@ Status BackendManager::ExportCompiledBlobAsEPCtxNode(const onnxruntime::GraphVie
return Status::OK();
}

void BackendManager::SetDynamicWorkloadType(const std::string& value) {
auto ov_execution_network = concrete_backend_->GetOVCompiledModel();
ov_execution_network.set_property({{"WORKLOAD_TYPE", value}});
LOGS_DEFAULT(VERBOSE) << "[OpenVINO-EP] " << value << " workload type mode is set for OV inference";
}

bool BackendManager::ModelHasBatchedInputs(const ONNX_NAMESPACE::ModelProto& model_proto) const {
bool has_batched_inputs = true;

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1 change: 1 addition & 0 deletions onnxruntime/core/providers/openvino/backend_manager.h
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Expand Up @@ -30,6 +30,7 @@ class BackendManager {
GlobalContext& GetGlobalContext();
Status ExportCompiledBlobAsEPCtxNode(const onnxruntime::GraphViewer& subgraph,
const logging::Logger& logger);
void SetDynamicWorkloadType(const std::string &value);

private:
std::unique_ptr<ONNX_NAMESPACE::ModelProto> GetModelProtoFromFusedNode(
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15 changes: 15 additions & 0 deletions onnxruntime/core/providers/openvino/openvino_execution_provider.cc
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Expand Up @@ -206,4 +206,19 @@ std::vector<AllocatorPtr> OpenVINOExecutionProvider::CreatePreferredAllocators()
}
#endif

common::Status OpenVINOExecutionProvider::SetEpDynamicOptions(
gsl::span<const char* const> keys, gsl::span<const char* const> values) {
for (auto key : keys) {
if (strcmp(key, "ep.dynamic.workload_type") == 0) {
for (auto val : values) {
if (strcmp(val, "Efficient") == 0) {
backend_manager_->SetDynamicWorkloadType("EFFICIENT");
} else if (strcmp(val, "Default") == 0) {
backend_manager_->SetDynamicWorkloadType("DEFAULT");
}
}
}
}
return Status::OK();
}
} // namespace onnxruntime
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