update FPGA support op and related files

src/operators/fusion_deconv_add_relu_op.cpp

@@ -21,7 +21,8 @@ namespace operators {}
 }  // namespace paddle_mobile
 
 namespace ops = paddle_mobile::operators;
-REGISTER_FUSION_MATCHER(fusion_deconv_add_relu, ops::FusionDeconvAddReluMatcher);
+REGISTER_FUSION_MATCHER(fusion_deconv_add_relu,
+                        ops::FusionDeconvAddReluMatcher);
 #ifdef PADDLE_MOBILE_CPU
 #endif
 #ifdef PADDLE_MOBILE_MALI_GPU

src/operators/fusion_deconv_add_relu_op.h

@@ -43,7 +43,8 @@ class FusionDeconvAddReluMatcher : public framework::FusionOpMatcher {
 };
 
 template <typename DeviceType, typename T>
-class FusionDeconvAddReluOp : public framework::OperatorWithKernel<
+class FusionDeconvAddReluOp
+    : public framework::OperatorWithKernel<
           DeviceType, FusionDeconvAddReluParam<DeviceType>,
           operators::DeconvAddReluKernel<DeviceType, T>> {
  public:
@@ -53,8 +54,8 @@ class FusionDeconvAddReluOp : public framework::OperatorWithKernel<
                         std::shared_ptr<framework::Scope> scope)
       : framework::OperatorWithKernel<
             DeviceType, FusionDeconvAddReluParam<DeviceType>,
-            operators::DeconvAddReluKernel<DeviceType, T>>(type, inputs, outputs,
-                                                        attrs, scope) {}
+            operators::DeconvAddReluKernel<DeviceType, T>>(
+            type, inputs, outputs, attrs, scope) {}
 
   void InferShape() const {
     auto input = this->param_.Input();

src/operators/kernel/fpga/V2/deconv_add_relu_kernel.cpp

@@ -22,7 +22,8 @@ namespace paddle_mobile {
 namespace operators {
 
 template <>
-bool DeconvAddReluKernel<FPGA, float>::Init(FusionDeconvAddReluParam<FPGA> *param) {
+bool DeconvAddReluKernel<FPGA, float>::Init(
+    FusionDeconvAddReluParam<FPGA> *param) {
   return true;
 }
 

src/operators/kernel/fpga/V2/transpose2_kernel.cpp

@@ -25,8 +25,9 @@ bool Transpose2Kernel<FPGA, float>::Init(Transpose2Param<FPGA> *param) {
 }
 
 template <>
-void Transpose2Kernel<FPGA, float>::Compute(const Transpose2Param<FPGA> &param) {
-  //Transpose2Compute<float>(param);
+void Transpose2Kernel<FPGA, float>::Compute(
+    const Transpose2Param<FPGA> &param) {
+  // Transpose2Compute<float>(param);
 }
 
 }  // namespace operators

src/operators/op_param.h

@@ -2221,7 +2221,7 @@ class ConvTransposeParam : public OpParam {
                      const Scope &scope) {
     filter_ = FilterFrom<GType>(inputs, scope);
     input_ = InputFrom<GType>(inputs, scope);
-    //output_ = OutputFrom<GType>(outputs, scope);
+    // output_ = OutputFrom<GType>(outputs, scope);
     if (outputs.count("Output")) {
       output_ = OpParam::OutputFrom<GType>(outputs, scope);
     }
@@ -2270,11 +2270,12 @@ template <typename Dtype>
 class FusionDeconvAddParam : public ConvTransposeParam<Dtype> {
   typedef typename DtypeTensorTrait<Dtype>::gtype GType;
   typedef typename DtypeTensorTrait<Dtype>::rtype RType;
-public:
+
+ public:
   FusionDeconvAddParam(const VariableNameMap &inputs,
-                     const VariableNameMap &outputs, const AttributeMap &attrs,
-                     const Scope &scope)
-      :ConvTransposeParam<Dtype>(inputs, outputs, attrs, scope) {
+                       const VariableNameMap &outputs,
+                       const AttributeMap &attrs, const Scope &scope)
+      : ConvTransposeParam<Dtype>(inputs, outputs, attrs, scope) {
     bias_ = OpParam::InputYFrom<GType>(inputs, scope);
     axis_ = OpParam::GetAttr<int>("axis", attrs);
     output_ = OpParam::OutFrom<GType>(outputs, scope);

src/operators/split_op.cpp

@@ -13,8 +13,8 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #ifdef SPLIT_OP
-#include <vector>
 #include "operators/split_op.h"
+#include <vector>
 
 namespace paddle_mobile {
 namespace operators {