back to the model that an XTensor can not be assigned when constructed

source/sample/transformer/T2TSearch.cpp

@@ -76,9 +76,12 @@ search for the most promising states
 */
 */
 void T2TSearch::Search(T2TModel * model, XTensor * input, XTensor * padding, XTensor * output)
 void T2TSearch::Search(T2TModel * model, XTensor * input, XTensor * padding, XTensor * output)
 {
 {
-    XTensor maskEnc;
-    XTensor encoding;
     T2TPredictor predictor;
     T2TPredictor predictor;
+    XTensor maskEnc;
+    XTensor encoding;    
+    XTensor encodingBeam;
+    XTensor inputBeam;
+    XTensor paddingBeam;
 
 
     CheckNTErrors(endSymbolNum > 0, "The search class is not initialized!");
     CheckNTErrors(endSymbolNum > 0, "The search class is not initialized!");
     CheckNTErrors(startSymbol >= 0, "The search class is not initialized!");
     CheckNTErrors(startSymbol >= 0, "The search class is not initialized!");
@@ -95,9 +98,9 @@ void T2TSearch::Search(T2TModel * model, XTensor * input, XTensor * padding, XTe
     encoding = model->MakeEncoder(*input, maskEnc, false);
     encoding = model->MakeEncoder(*input, maskEnc, false);
     encoding.SetName(ENCODING_NAME);
     encoding.SetName(ENCODING_NAME);
 
 
-    XTensor encodingBeam = Unsqueeze(encoding, encoding.order - 2, beamSize);
-    XTensor inputBeam = Unsqueeze(*input, input->order - 1, beamSize);
-    XTensor paddingBeam = Unsqueeze(*padding, padding->order - 1, beamSize);
+    encodingBeam = Unsqueeze(encoding, encoding.order - 2, beamSize);
+    inputBeam = Unsqueeze(*input, input->order - 1, beamSize);
+    paddingBeam = Unsqueeze(*padding, padding->order - 1, beamSize);
 
 
     encodingBeam.ReshapeMerged(encodingBeam.order - 4);
     encodingBeam.ReshapeMerged(encodingBeam.order - 4);
     inputBeam.ReshapeMerged(inputBeam.order - 3);
     inputBeam.ReshapeMerged(inputBeam.order - 3);