General types of inputs and outputs for MlResponse and OnnxModel (#9319)

choich08365 · chchoi · web-flow · commit 9ad8d3e82ece · 2025-01-15T09:22:17.000+01:00
Co-authored-by: chchoi &lt;changhwan.choi@cern.ch&gt;
diff --git a/Tools/ML/MlResponse.h b/Tools/ML/MlResponse.h
@@ -158,7 +158,7 @@ class MlResponse
       LOG(fatal) << "Model index " << nModel << " is out of range! The number of initialised models is " << mModels.size() << ". Please check your configurables.";
     }
 
-    TypeOutputScore* outputPtr = mModels[nModel].evalModel(input);
+    TypeOutputScore* outputPtr = mModels[nModel].template evalModel<TypeOutputScore>(input);
     return std::vector<TypeOutputScore>{outputPtr, outputPtr + mNClasses};
   }
 

Original file line number	Diff line number	Diff line change
`@@ -158,7 +158,7 @@ class MlResponse`
`158`	`158`	`LOG(fatal) << "Model index " << nModel << " is out of range! The number of initialised models is " << mModels.size() << ". Please check your configurables.";`
`159`	`159`	`}`
`160`	`160`
`161`		`- TypeOutputScore* outputPtr = mModels[nModel].evalModel(input);`
	`161`	`+ TypeOutputScore* outputPtr = mModels[nModel].template evalModel<TypeOutputScore>(input);`
`162`	`162`	`return std::vector<TypeOutputScore>{outputPtr, outputPtr + mNClasses};`
`163`	`163`	`}`
`164`	`164`