diff --git a/paddle/gserver/layers/Conv3DLayer.cpp b/paddle/gserver/layers/Conv3DLayer.cpp
index 7cc9937cce37cbbc4640fbb88312841c23b757c0..3887aa58b283d319c5b9afec3a38ad676669a8d1 100644
--- a/paddle/gserver/layers/Conv3DLayer.cpp
+++ b/paddle/gserver/layers/Conv3DLayer.cpp
@@ -42,10 +42,10 @@ bool Conv3DLayer::init(const LayerMap &layerMap,
     if (sharedBiases_) {
       CHECK_EQ((size_t)numFilters_, biasParameter_->getSize());
       biases_ =
-          std::unique_ptr<Weight>(new Weight(1, numFilters_, biasParameter_));
+          std::unique_ptr<Weight>(new Weight(numFilters_, 1, biasParameter_));
     } else {
       biases_ =
-          std::unique_ptr<Weight>(new Weight(1, getSize(), biasParameter_));
+          std::unique_ptr<Weight>(new Weight(getSize(), 1, biasParameter_));
     }
   }
   return true;
@@ -224,20 +224,31 @@ void Conv3DLayer::bpropData(int i) {
 }
 
 void Conv3DLayer::bpropBiases() {
+  MatrixPtr biases = Matrix::create(biases_->getWGrad()->getData(),
+                                    1,
+                                    biases_->getWGrad()->getElementCnt(),
+                                    false,
+                                    useGpu_);
   MatrixPtr outGradMat = getOutputGrad();
+
   if (this->sharedBiases_) {
-    biases_->getWGrad()->collectSharedBias(*outGradMat, 1.0f);
+    biases->collectSharedBias(*outGradMat, 1.0f);
   } else {
-    biases_->getWGrad()->collectBias(*outGradMat, 1.0f);
+    biases->collectBias(*outGradMat, 1.0f);
   }
 }
 
 void Conv3DLayer::addBias() {
   MatrixPtr outMat = getOutputValue();
+  MatrixPtr bias = Matrix::create(biases_->getW()->getData(),
+                                  1,
+                                  biases_->getW()->getElementCnt(),
+                                  false,
+                                  useGpu_);
   if (this->sharedBiases_) {
-    outMat->addSharedBias(*(biases_->getW()), 1.0f);
+    outMat->addSharedBias(*(bias), 1.0f);
   } else {
-    outMat->addBias(*(biases_->getW()), 1.0f);
+    outMat->addBias(*(bias), 1.0f);
   }
 }
 
diff --git a/paddle/gserver/layers/DeConv3DLayer.cpp b/paddle/gserver/layers/DeConv3DLayer.cpp
index 7d5c772c89d260264a59f4cc4439bb8a44c605a4..2838980a973d3dbcce9716f21f2ea07e3a2fa660 100644
--- a/paddle/gserver/layers/DeConv3DLayer.cpp
+++ b/paddle/gserver/layers/DeConv3DLayer.cpp
@@ -42,10 +42,10 @@ bool DeConv3DLayer::init(const LayerMap &layerMap,
     if (sharedBiases_) {
       CHECK_EQ((size_t)numFilters_, biasParameter_->getSize());
       biases_ =
-          std::unique_ptr<Weight>(new Weight(1, numFilters_, biasParameter_));
+          std::unique_ptr<Weight>(new Weight(numFilters_, 1, biasParameter_));
     } else {
       biases_ =
-          std::unique_ptr<Weight>(new Weight(1, getSize(), biasParameter_));
+          std::unique_ptr<Weight>(new Weight(getSize(), 1, biasParameter_));
     }
   }
   return true;
@@ -191,21 +191,31 @@ void DeConv3DLayer::bpropWeights(int i) {}
 void DeConv3DLayer::bpropData(int i) {}
 
 void DeConv3DLayer::bpropBiases() {
+  MatrixPtr biases = Matrix::create(biases_->getWGrad()->getData(),
+                                    1,
+                                    biases_->getWGrad()->getElementCnt(),
+                                    false,
+                                    useGpu_);
   const MatrixPtr &outGradMat = getOutputGrad();
 
   if (this->sharedBiases_) {
-    biases_->getWGrad()->collectSharedBias(*outGradMat, 1.0f);
+    biases->collectSharedBias(*outGradMat, 1.0f);
   } else {
-    biases_->getWGrad()->collectBias(*outGradMat, 1.0f);
+    biases->collectBias(*outGradMat, 1.0f);
   }
 }
 
 void DeConv3DLayer::addBias() {
   MatrixPtr outMat = getOutputValue();
+  MatrixPtr bias = Matrix::create(biases_->getW()->getData(),
+                                  1,
+                                  biases_->getW()->getElementCnt(),
+                                  false,
+                                  useGpu_);
   if (this->sharedBiases_) {
-    outMat->addSharedBias(*(biases_->getW()), 1.0f);
+    outMat->addSharedBias(*(bias), 1.0f);
   } else {
-    outMat->addBias(*(biases_->getW()), 1.0f);
+    outMat->addBias(*(bias), 1.0f);
   }
 }