Merge branch 'xiaotong-working' of 47.105.50.196:NiuTrans/NiuTrans.Tensor into xiaotong-working

source/sample/transformer/T2TEmbedding.cpp

@@ -61,7 +61,7 @@ void T2TEmbedder::InitModel(int argc, char ** argv, int myDevID, XMem * myMem)
     InitTensor2D(&w, vSize, eSize, X_FLOAT, devID, mem);
 
     DTYPE v = 1.0F/(float)sqrt((float)eSize);
-    w.SetDataRand(-v, v);
+    w.SetDataRandn(0, v);
 
     /* create the positional embedding matrix */
     MakePosEmbedding(eSize, d, maxLength);

source/sample/transformer/T2TLayerNormal.cpp

@@ -59,10 +59,7 @@ void T2TLN::InitModel(int argc, char ** argv, int myDevID, XMem * myMem)
     InitTensor1D(&w, d, X_FLOAT, devID, mem);
     InitTensor1D(&b, d, X_FLOAT, devID, mem);
 
-    float scale = 1.0F;
-    float finfout = (float)sqrt(6.0F * scale / d);
-
-    w.SetDataRand(-finfout, finfout);
+    w.SetDataRand(1.0F, 1.0F);
     b.SetZeroAll();
 }
 

source/sample/transformer/T2TOutput.cpp

@@ -66,6 +66,9 @@ void T2TOutput::InitModel(int argc, char ** argv, int myDevID, XMem * myMem)
     float scale = 1.0F;
     float finfout = (float)sqrt(6.0F * scale/(hSize + vSize));
     w.SetDataRand(-finfout, finfout);
+
+    DTYPE v = 1.0F/(float)sqrt((float)hSize);
+    w.SetDataRandn(0, v);
 }
 
 /* 

source/sample/transformer/T2TTrainer.cpp

@@ -217,6 +217,9 @@ void T2TTrainer::Train(const char * fn, const char * validFN, const char * model
             if (output.GetDim(0) > 1)
                 PadOutput(&output, &gold, &padding);
 
+            //output.Dump(tmpFILE, "output: ");
+            //fflush(tmpFILE);
+
             /* get probabilities */
             float prob = GetProb(&output, &gold, NULL);
             DTYPE lossLocal = -prob / wc;