change format

src/operators/fusion_conv_bn_op.h

@@ -51,17 +51,16 @@ class FusionConvBNMatcher : public framework::FusionOpMatcher {
 
 template <typename DeviceType, typename T>
 class FusionConvBNOp : public framework::OperatorWithKernel<
-                               DeviceType, FusionConvBNParam,
-                               operators::ConvBNKernel<DeviceType, T>> {
+                           DeviceType, FusionConvBNParam,
+                           operators::ConvBNKernel<DeviceType, T>> {
  public:
   FusionConvBNOp(const string &type, const VariableNameMap &inputs,
-                     const VariableNameMap &outputs,
-                     const framework::AttributeMap &attrs,
-                     std::shared_ptr<framework::Scope> scope)
-      : framework::OperatorWithKernel<
-            DeviceType, FusionConvBNParam,
-            operators::ConvBNKernel<DeviceType, T>>(type, inputs, outputs,
-                                                        attrs, scope) {}
+                 const VariableNameMap &outputs,
+                 const framework::AttributeMap &attrs,
+                 std::shared_ptr<framework::Scope> scope)
+      : framework::OperatorWithKernel<DeviceType, FusionConvBNParam,
+                                      operators::ConvBNKernel<DeviceType, T>>(
+            type, inputs, outputs, attrs, scope) {}
 
   void InferShape() const override;
 

src/operators/kernel/conv_bn_kernel.h

@@ -32,8 +32,7 @@ using framework::DDim;
 using framework::OpKernelBase;
 
 template <typename DeviceType, typename T>
-class ConvBNKernel
-    : public OpKernelBase<DeviceType, FusionConvBNParam> {
+class ConvBNKernel : public OpKernelBase<DeviceType, FusionConvBNParam> {
  public:
   void Compute(const FusionConvBNParam &param) const;
   bool Init(FusionConvBNParam *param);

src/operators/kernel/fpga/conv_bn_kernel.cpp

@@ -49,8 +49,7 @@ bool ConvBNKernel<FPGA, float>::Init(FusionConvBNParam *param) {
   for (int i = 0; i < channel; i++) {
     new_scale_ptr[i] = bn_scale_ptr[i] /
                        static_cast<float>(pow((bn_var_ptr[i] + epsilon), 0.5));
-    new_bias_ptr[i] =
-        bn_bias_ptr[i] + (0 - bn_mean_ptr[i]) * new_scale_ptr[i];
+    new_bias_ptr[i] = bn_bias_ptr[i] + (0 - bn_mean_ptr[i]) * new_scale_ptr[i];
     bs_ptr[i * 2] = new_scale_ptr[i];
     bs_ptr[i * 2 + 1] = new_bias_ptr[i];
   }
@@ -84,8 +83,7 @@ bool ConvBNKernel<FPGA, float>::Init(FusionConvBNParam *param) {
 }
 
 template <>
-void ConvBNKernel<FPGA, float>::Compute(
-    const FusionConvBNParam &param) const {
+void ConvBNKernel<FPGA, float>::Compute(const FusionConvBNParam &param) const {
   fpga::ComputeFpgaConv(param.FpgaArgs());
 }
 template class ConvBNKernel<FPGA, float>;

src/operators/kernel/fpga/conv_bn_relu_kernel.cpp

@@ -46,8 +46,7 @@ bool ConvBNReluKernel<FPGA, float>::Init(FusionConvBNReluParam *param) {
   for (int i = 0; i < channel; i++) {
     new_scale_ptr[i] = bn_scale_ptr[i] /
                        static_cast<float>(pow((bn_var_ptr[i] + epsilon), 0.5));
-    new_bias_ptr[i] =
-        bn_bias_ptr[i] + (0 - bn_mean_ptr[i]) * new_scale_ptr[i];
+    new_bias_ptr[i] = bn_bias_ptr[i] + (0 - bn_mean_ptr[i]) * new_scale_ptr[i];
     bs_ptr[i * 2] = new_scale_ptr[i];
     bs_ptr[i * 2 + 1] = new_bias_ptr[i];
   }