From 2d4c66d4b2bc723d2404d650b1adbd3b76a42b32 Mon Sep 17 00:00:00 2001
From: tensor-tang <jian.j.tang@intel.com>
Date: Thu, 10 Aug 2017 13:42:27 +0800
Subject: [PATCH] add comments and todo lists

---
 paddle/gserver/layers/MKLDNNFcLayer.h |  3 +++
 paddle/gserver/tests/MKLDNNTester.cpp | 12 +++++++-----
 paddle/gserver/tests/MKLDNNTester.h   |  9 +++++----
 3 files changed, 15 insertions(+), 9 deletions(-)

diff --git a/paddle/gserver/layers/MKLDNNFcLayer.h b/paddle/gserver/layers/MKLDNNFcLayer.h
index dffae27d7..7954852a2 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 d91e4ed60..99c8c4948 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 d21f92d42..522eeaf24 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,
-- 
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