diff --git a/fastlib/u/wguan/nnsvm/nnsvm.h b/fastlib/u/wguan/nnsvm/nnsvm.h
index 08ac3e0ccc..cb8e1a797b 100644
--- a/fastlib/u/wguan/nnsvm/nnsvm.h
+++ b/fastlib/u/wguan/nnsvm/nnsvm.h
@@ -223,8 +223,10 @@ void NNSVM<TKernel>::SaveModel(String modelfilename) {
 // TODO: use XML
 template<typename TKernel>
 void NNSVM<TKernel>::LoadModel(Dataset* testset, String modelfilename) {
-  /* Init */
+  /* Init */
+  //fprintf(stderr, "modelfilename= %s\n", modelfilename.c_str()); 
   num_features_ = testset->n_features() - 1;
+
   model_.w_.Init(num_features_);
   /* load model file */
   FILE *fp = fopen(modelfilename, "r");
@@ -258,11 +260,12 @@ void NNSVM<TKernel>::LoadModel(Dataset* testset, String modelfilename) {
       for (index_t s= 0; s < num_features_; s++) {
 	fscanf(fp,"%lf",&temp_f); 
 	model_.w_[s] = temp_f;
-      }
+      }
+      break;
     }
   }
   support_vectors_.Init(num_features_, model_.num_sv_);
-  model_.sv_coef_.Init(model_.num_sv_);
+  model_.sv_coef_.Init(model_.num_sv_);
   while (1) {
     fscanf(fp,"%80s",cmd);
     if (strcmp(cmd, "svs")==0) {
@@ -273,7 +276,8 @@ void NNSVM<TKernel>::LoadModel(Dataset* testset, String modelfilename) {
 	  fscanf(fp,"%lf",&temp_f);
 	  support_vectors_.set(j, i, temp_f);
 	}
-      }
+      }
+      break;
     }
   }
   fclose(fp);
@@ -335,7 +339,7 @@ void NNSVM<TKernel>::BatchClassify(Dataset* testset, String testlablefilename) {
 */
 template<typename TKernel>
 void NNSVM<TKernel>::LoadModelBatchClassify(Dataset* testset, String modelfilename, String testlabelfilename) {
-  LoadModel(testset, modelfilename);
+  LoadModel(testset, modelfilename);
   BatchClassify(testset, testlabelfilename);
 }