remove -smallfootprint and keep the net as small as possible by default

source/network/XNet.cpp

@@ -55,7 +55,7 @@ void XNetClearAll()
 XNet::XNet()
 XNet::XNet()
 {
 {
     nodes.Clear();
     nodes.Clear();
-    isGradEfficient = false;
+    isGradEfficient = true;
 }
 }
 
 
 /* de-constructor */
 /* de-constructor */

source/sample/transformer/T2TTrainer.cpp

@@ -116,7 +116,7 @@ void T2TTrainer::Init(int argc, char ** argv)
     LoadParamBool(argc, argv, "doubledend", &isDoubledEnd, false);
     LoadParamBool(argc, argv, "doubledend", &isDoubledEnd, false);
     LoadParamBool(argc, argv, "smallbatch", &isSmallBatch, true);
     LoadParamBool(argc, argv, "smallbatch", &isSmallBatch, true);
     LoadParamBool(argc, argv, "bigbatch", &isBigBatch, false);
     LoadParamBool(argc, argv, "bigbatch", &isBigBatch, false);
-    LoadParamBool(argc, argv, "smallfootprint", &isSmallFootprint, false);
+    LoadParamBool(argc, argv, "debug", &isDebugged, false);
 
 
     buf  = new int[bufSize];
     buf  = new int[bufSize];
     buf2 = new int[bufSize];
     buf2 = new int[bufSize];
@@ -165,8 +165,8 @@ void T2TTrainer::Train(const char * fn, const char * validFN, const char * model
     XMem * mem = model->mem;
     XMem * mem = model->mem;
     XNet net;
     XNet net;
 
 
-    if(isSmallFootprint)
-        net.SetGradEfficientFlag();
+    if(isDebugged)
+        net.SetGradEfficientFlag(false);
     
     
     PrepareModel(model);
     PrepareModel(model);
 
 

source/sample/transformer/T2TTrainer.h

@@ -142,8 +142,8 @@ public:
     /* counterpart of "isSmallBatch" */
     /* counterpart of "isSmallBatch" */
     bool isBigBatch;
     bool isBigBatch;
 
 
-    /* indicates whether we use small memory footprint for backward process */
-    bool isSmallFootprint;
+    /* indicates whether we intend to debug the net */
+    bool isDebugged;
 
 
 public:
 public:
     /* constructor */
     /* constructor */