modify format accored with clang-format 3.8

paddle/function/DepthwiseConvOp.cpp

@@ -60,6 +60,7 @@ public:
                   int paddingH,
                   int paddingW,
                   T* inputGrad) {}
+  // TODO(zhaolong) : cpu implementation of depthwise convolution
 };
 
 template <class T>
@@ -82,6 +83,7 @@ public:
                   int paddingW,
                   T* colData,
                   T* filterGrad) {}
+  // TODO(zhaolong) : cpu implementation of depthwise convolution
 };
 
 /*

paddle/function/DepthwiseConvOp.h

@@ -122,11 +122,8 @@ public:
  * \param[in]   paddingH          padding size in height direction.
  * \param[in]   paddingW          padding size in width direction.
  * \param[in]   colData           Auxiliary data when calculating filterGrad.
- *                                size:
- *inputChannels*filterHeight*filterWidth*outputHeight*outputWidth \param[in]
- *multiplierData    Auxiliary data when calculating filterGrad. size:
- *outputHeight * outputWidth. \param[out]
- *filterGrad        the grad data of filter.
+ * \param[in]   multiplierData    Auxiliary data when calculating filterGrad.
+ * \param[out]  filterGrad        the grad data of filter.
  *
  */
 template <DeviceType Device, class T>

paddle/function/DepthwiseConvOpGpu.cu

@@ -17,6 +17,7 @@ limitations under the License. */
 #include "paddle/math/BaseMatrix.h"
 
 namespace paddle {
+
 // CUDA kernel to compute the depthwise convolution forward pass
 template <class T>
 __global__ 

paddle/gserver/layers/DepthwiseConvLayer.h

@@ -22,7 +22,7 @@ namespace paddle {
 
 /**
  * @brief A subclass of convolution layer.
- * This layer do the depthwise convolution calculation in mobilenet.
+ * This layer does the depthwise convolution calculation of mobilenet.
  * The config file api is img_depthwise_conv_layer.
  */