Add support for ONNXRuntime 1.22.00 (#14419)

Author: ktf

Common/ML/include/ML/OrtInterface.h

@@ -34,10 +34,7 @@ struct MemoryInfo;
 struct Env;
 } // namespace Ort
 
-namespace o2
-{
-
-namespace ml
+namespace o2::ml
 {
 
 class OrtModel
@@ -127,8 +124,6 @@ class OrtModel
   std::string printShape(const std::vector<std::vector<int64_t>>&, std::vector<std::string>&);
 };
 
-} // namespace ml
-
-} // namespace o2
+} // namespace o2::ml
 
 #endif // O2_ML_ORTINTERFACE_H

Common/ML/src/OrtInterface.cxx

@@ -287,9 +287,9 @@ std::vector<O> OrtModel::inference(std::vector<I>& input)
   return outputValuesVec;
 }
 
-template std::vector<float> OrtModel::inference<float, float>(std::vector<float>&);
-template std::vector<float> OrtModel::inference<OrtDataType::Float16_t, float>(std::vector<OrtDataType::Float16_t>&);
-template std::vector<OrtDataType::Float16_t> OrtModel::inference<OrtDataType::Float16_t, OrtDataType::Float16_t>(std::vector<OrtDataType::Float16_t>&);
+template std::vector<float> o2::ml::OrtModel::inference<float, float>(std::vector<float>&);
+template std::vector<float> o2::ml::OrtModel::inference<OrtDataType::Float16_t, float>(std::vector<OrtDataType::Float16_t>&);
+template std::vector<OrtDataType::Float16_t> o2::ml::OrtModel::inference<OrtDataType::Float16_t, OrtDataType::Float16_t>(std::vector<OrtDataType::Float16_t>&);
 
 template <class I, class O>
 void OrtModel::inference(I* input, int64_t input_size, O* output)

GPU/GPUTracking/TPCClusterFinder/GPUTPCNNClusterizerHost.h

@@ -20,8 +20,6 @@
 #include <vector>
 #include "ML/OrtInterface.h"
 
-using namespace o2::ml;
-
 class OrtMemoryInfo;
 class OrtAllocator;
 struct MockedOrtAllocator;