diff --git a/paddle/gserver/layers/MKLDNNFcLayer.h b/paddle/gserver/layers/MKLDNNFcLayer.h
index dffae27d7ba00b04eb2dbc52738dffd3245b15b4..7954852a23f81d36d5fb0ae6a19768f419886fb1 100644
--- a/paddle/gserver/layers/MKLDNNFcLayer.h
+++ b/paddle/gserver/layers/MKLDNNFcLayer.h
@@ -29,7 +29,10 @@ protected:
   // input layer size, can not be change after init
   size_t iLayerSize_;  // == ic * ih * iw
 
+  // if has already init the weight
   bool hasInitedWgt_;
+
+  // if input layer has image size info (ih>1 && iw>1)
   bool hasSpatial_;
 
   // fc weight and bias
diff --git a/paddle/gserver/tests/MKLDNNTester.cpp b/paddle/gserver/tests/MKLDNNTester.cpp
index d91e4ed60c94522aa7efe35d7c93467f7364d406..99c8c4948c9b05ad15d1217ebb70026bbd48453f 100644
--- a/paddle/gserver/tests/MKLDNNTester.cpp
+++ b/paddle/gserver/tests/MKLDNNTester.cpp
@@ -123,7 +123,8 @@ void MKLDNNTester::checkForward() {
 }
 
 void MKLDNNTester::checkBackwardData() {
-  const bool isBN = dnnLayer_->getType() == "mkldnn_batch_norm";
+  // TODO(TJ): uncomment me when batch norm ready
+  // const bool isBN = dnnLayer_->getType() == "mkldnn_batch_norm";
   for (size_t i = 0; i < dataLayers_[DNN].size(); ++i) {
     const MatrixPtr& dnnDiff = dataLayers_[DNN][i]->getOutputGrad();
     const MatrixPtr& refDiff = dataLayers_[REF][i]->getOutputGrad();
@@ -134,10 +135,11 @@ void MKLDNNTester::checkBackwardData() {
 
     double delta = compareMatrix(dnnDiff, refDiff);
     EXPECT_LE(fabs(delta), eps_);
-    if (isBN) {
-      // the other two inputs in batch norm are for moving mean and var
-      break;
-    }
+    // TODO(TJ): uncomment me when batch norm ready
+    // if (isBN) {
+    //  // the other two inputs in batch norm are for moving mean and var
+    //  break;
+    // }
   }
 }
 
diff --git a/paddle/gserver/tests/MKLDNNTester.h b/paddle/gserver/tests/MKLDNNTester.h
index d21f92d426ed00406e9a5f715883490344f3bf0b..522eeaf24b1949abac057a1e59e9977610be23c0 100644
--- a/paddle/gserver/tests/MKLDNNTester.h
+++ b/paddle/gserver/tests/MKLDNNTester.h
@@ -27,9 +27,9 @@ namespace paddle {
  */
 class MKLDNNTester {
   enum {
-    DNN = 0,
-    REF = 1,
-    NUM = 2,
+    DNN = 0,  // MKLDNN layer
+    REF = 1,  // Reference layer
+    NUM = 2,  // Number of total
   };
 
 protected:
@@ -107,7 +107,8 @@ private:
    * Get delta percent
    * if many(>failRate) wrong(abs(dnn-ref)/abs(ref)>thres) points return the
    * max(diff/ref)
-   * else return sum(abs(a-b)) / sum(abs(b)) should smaller than eps
+   * else return sum(abs(a-b)) / sum(abs(b))
+   * The return value should smaller than eps when passing.
    */
   double getDelta(const real* d1,
                   const real* d2,