update the code of heap

source/sample/transformer/T2TSearch.cpp

@@ -289,6 +289,7 @@ void T2TSearch::Collect(T2TStateBundle * beam)
                       "Invalid sample id!");
 
         if(IsEnd(state.prediction)){
+            fullHypos[state.pid].Push(HeapNode<float>(&state, state.modelScore));
             state.isEnd = 1;
         }
         else

source/tensor/core/sort/TopK.cpp

@@ -37,20 +37,20 @@ get the top-k items along a given dimension
 */
 void _TopK(const XTensor * a, XTensor * b, XTensor * index, int dim, int k)
 {
-    CheckNTErrors((a->unitSize == b->unitSize), "Unmatched input tensors!");
-    CheckNTErrors((a->order == b->order), "Unmatched input tensors!");
-    CheckNTErrors((index == NULL || a->order == index->order), "Unmatched input tensors!");
-    CheckNTErrors((index->dataType == X_INT), "Wrong data type!");
+    CheckNTErrors(a->unitSize == b->unitSize, "Unmatched input tensors!");
+    CheckNTErrors(a->order == b->order, "Unmatched input tensors!");
+    CheckNTErrors(index == NULL || a->order == index->order, "Unmatched input tensors!");
+    CheckNTErrors(index->dataType == X_INT, "Wrong data type!");
 
     int dimRDI = a->order - dim - 1;
     for (int i = 0; i < a->order; i++) {
         if (i == dimRDI) {
-            CheckNTErrors((b->dimSizeRDI[i] == k), "A too large K");
-            CheckNTErrors((index == NULL || index->dimSizeRDI[i] == k), "Wrong size!");
+            CheckNTErrors(b->dimSizeRDI[i] == k, "A too large K");
+            CheckNTErrors(index == NULL || index->dimSizeRDI[i] == k, "Wrong size!");
         }
         else {
-            CheckNTErrors((b->dimSizeRDI[i] == a->dimSizeRDI[i]), "Wrong size!");
-            CheckNTErrors((index == NULL || index->dimSizeRDI[i] == a->dimSizeRDI[i]), "Wrong size!");
+            CheckNTErrors(b->dimSizeRDI[i] == a->dimSizeRDI[i], "Wrong size!");
+            CheckNTErrors(index == NULL || index->dimSizeRDI[i] == a->dimSizeRDI[i], "Wrong size!");
         }
     }
 
@@ -100,7 +100,7 @@ void _TopK(const XTensor * a, XTensor * b, XTensor * index, int dim, int k)
                 for (int j = strideNumA >= k ? k - 1 : strideNumA - 1; j >= 0; j--) {
                     HeapNode<DTYPE> node = heap.Pop();
                     dataB[j * stride] = node.value;
-                    indexData[j * stride] = node.index;
+                    indexData[j * stride] = (int)node.index;
                 }
             }
         }