From 11eb4d6ff681e01fae6ca0dc6dc42878a671abbc Mon Sep 17 00:00:00 2001
From: "Yao,kun" <yaokun01@baidu.com>
Date: Mon, 2 Jul 2018 11:46:04 +0800
Subject: [PATCH] fix codestyle

---
 src/operators/dropout_op.h                    |  8 +-
 src/operators/im2sequence_op.h                | 10 +-
 src/operators/kernel/arm/dropout_kernel.cpp   |  4 +-
 .../kernel/arm/im2sequence_kernel.cpp         |  2 +-
 src/operators/kernel/dropout_kernel.h         |  2 +-
 src/operators/op_param.h                      | 98 +++++++++----------
 6 files changed, 63 insertions(+), 61 deletions(-)

diff --git a/src/operators/dropout_op.h b/src/operators/dropout_op.h
index d10008d37f..380071dba2 100644
--- a/src/operators/dropout_op.h
+++ b/src/operators/dropout_op.h
@@ -28,8 +28,9 @@ namespace operators {
 using paddle_mobile::framework::Tensor;
 
 template <typename DeviceType, typename T>
-class DropoutOp : public framework::OperatorWithKernel<DeviceType, DropoutParam,
-                                    operators::DropoutKernal<DeviceType, T>> {
+class DropoutOp
+    : public framework::OperatorWithKernel<
+          DeviceType, DropoutParam, operators::DropoutKernal<DeviceType, T>> {
  public:
   DropoutOp(const std::string &type, const VariableNameMap &inputs,
             const VariableNameMap &outputs, const framework::AttributeMap attrs,
@@ -39,7 +40,7 @@ class DropoutOp : public framework::OperatorWithKernel<DeviceType, DropoutParam,
         param_(inputs, outputs, attrs, *scope) {}
 
   using framework::OperatorWithKernel<DeviceType, DropoutParam,
-                    operators::DropoutKernel<DeviceType, T>>;
+                                      operators::DropoutKernel<DeviceType, T>>;
   void InferShape() const override;
 
  protected:
@@ -49,4 +50,3 @@ class DropoutOp : public framework::OperatorWithKernel<DeviceType, DropoutParam,
 }  // namespace paddle_mobile
 
 #endif
-
diff --git a/src/operators/im2sequence_op.h b/src/operators/im2sequence_op.h
index 40717bce95..0b0085e4ce 100644
--- a/src/operators/im2sequence_op.h
+++ b/src/operators/im2sequence_op.h
@@ -26,8 +26,9 @@ namespace operators {
 using namespace framework;
 
 template <typename DeviceType, typename T>
-class Im2SequenceOp : public framework::OperatorWithKernel<DeviceType, Im2SequenceParam,
-                                        operators::Im2SequenceKernal<DeviceType, T>> {
+class Im2SequenceOp : public framework::OperatorWithKernel<
+                          DeviceType, Im2SequenceParam,
+                          operators::Im2SequenceKernal<DeviceType, T>> {
  public:
   Im2SequenceOp(const std::string &type, const VariableNameMap &inputs,
                 const VariableNameMap &outputs,
@@ -37,8 +38,9 @@ class Im2SequenceOp : public framework::OperatorWithKernel<DeviceType, Im2Sequen
                                                   scope),
         param_(inputs, outputs, attrs, *scope) {}
 
-  using framework::OperatorWithKernel<DeviceType, Im2SequenceParam,
-                                            operators::Im2SequenceKernel<DeviceType, T>>::OperatorWithKernel;
+  using framework::OperatorWithKernel<
+      DeviceType, Im2SequenceParam,
+      operators::Im2SequenceKernel<DeviceType, T>>::OperatorWithKernel;
   void InferShape() const override;
 
  private:
diff --git a/src/operators/kernel/arm/dropout_kernel.cpp b/src/operators/kernel/arm/dropout_kernel.cpp
index 32e2eeca80..868723be22 100644
--- a/src/operators/kernel/arm/dropout_kernel.cpp
+++ b/src/operators/kernel/arm/dropout_kernel.cpp
@@ -22,9 +22,9 @@ namespace operators {
 
 template <>
 bool DropoutKernel<CPU, float>::Init(const DropoutParam &para) const {
-    return true;
+  return true;
 }
-    
+
 template <typename T>
 struct DropoutFunctor {
   inline T operator()(T in) const { return in; }
diff --git a/src/operators/kernel/arm/im2sequence_kernel.cpp b/src/operators/kernel/arm/im2sequence_kernel.cpp
index 254bfb8a5d..0a4873d4d8 100644
--- a/src/operators/kernel/arm/im2sequence_kernel.cpp
+++ b/src/operators/kernel/arm/im2sequence_kernel.cpp
@@ -21,7 +21,7 @@ template <>
 bool Im2SequenceKernel<CPU, float>::Init(const Im2SequenceParam &para) const {
   return true;
 }
-    
+
 inline int Im2SeqOutputSize(int input_size, int filter_size, int padding_0,
                             int padding_1, int stride) {
   const int output_size =
diff --git a/src/operators/kernel/dropout_kernel.h b/src/operators/kernel/dropout_kernel.h
index 98146fab73..42b914b175 100644
--- a/src/operators/kernel/dropout_kernel.h
+++ b/src/operators/kernel/dropout_kernel.h
@@ -24,7 +24,7 @@ template <typename DeviceType, typename T>
 class DropoutKernel : public framework::OpKernelBase<DeviceType, DropoutParam> {
  public:
   void Compute(const DropoutParam& param) const;
-  bool Init(const DropoutParam &para) const;
+  bool Init(const DropoutParam& para) const;
 };
 }  // namespace operators
 }  // namespace paddle_mobile
diff --git a/src/operators/op_param.h b/src/operators/op_param.h
index f713199c7f..c0f0fbc8a9 100644
--- a/src/operators/op_param.h
+++ b/src/operators/op_param.h
@@ -934,57 +934,57 @@ class FusionConvAddBNReluParam : public OpParam {
 
 Print &operator<<(Print &printer, const FusionConvAddParam &conv_param);
 #endif
-    
-    #ifdef IM2SEQUENCE_OP
-    class Im2SequenceParam : public OpParam {
-    public:
-        Im2SequenceParam(const VariableNameMap &inputs,
-                         const VariableNameMap &outputs, const AttributeMap &attrs,
-                         const Scope &scope) {
-            input_x_ = InputXFrom<LoDTensor>(inputs, scope);
-            out_ = OutFrom<LoDTensor>(outputs, scope);
-            kernels_ = GetAttr<vector<int>>("kernels", attrs);
-            strides_ = GetAttr<vector<int>>("strides", attrs);
-            paddings_ = GetAttr<vector<int>>("paddings", attrs);
-        }
-        
-        const Tensor *Input() const { return input_x_; }
-        
-        Tensor *Output() const { return out_; }
-        
-        const vector<int> &Kernels() const { return kernels_; }
-        
-        const vector<int> &Strides() const { return strides_; }
-        
-        const vector<int> &Paddings() const { return paddings_; }
-        
-    private:
-        Tensor *input_x_;
-        Tensor *out_;
-        vector<int> kernels_;
-        vector<int> strides_;
-        vector<int> paddings_;
-    };
+
+#ifdef IM2SEQUENCE_OP
+class Im2SequenceParam : public OpParam {
+ public:
+  Im2SequenceParam(const VariableNameMap &inputs,
+                   const VariableNameMap &outputs, const AttributeMap &attrs,
+                   const Scope &scope) {
+    input_x_ = InputXFrom<LoDTensor>(inputs, scope);
+    out_ = OutFrom<LoDTensor>(outputs, scope);
+    kernels_ = GetAttr<vector<int>>("kernels", attrs);
+    strides_ = GetAttr<vector<int>>("strides", attrs);
+    paddings_ = GetAttr<vector<int>>("paddings", attrs);
+  }
+
+  const Tensor *Input() const { return input_x_; }
+
+  Tensor *Output() const { return out_; }
+
+  const vector<int> &Kernels() const { return kernels_; }
+
+  const vector<int> &Strides() const { return strides_; }
+
+  const vector<int> &Paddings() const { return paddings_; }
+
+ private:
+  Tensor *input_x_;
+  Tensor *out_;
+  vector<int> kernels_;
+  vector<int> strides_;
+  vector<int> paddings_;
+};
 #endif
-    
+
 #ifdef DROPOUT_OP
-    class DropoutParam : public OpParam {
-    public:
-        DropoutParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
-                     const AttributeMap &attrs, const Scope &scope) {
-            input_x_ = InputXFrom<LoDTensor>(inputs, scope);
-            out_ = OutFrom<LoDTensor>(outputs, scope);
-        }
-        
-        const Tensor *InputX() const { return input_x_; }
-        
-        Tensor *Out() const { return out_; }
-        
-    private:
-        Tensor *input_x_;
-        Tensor *out_;
-    };
+class DropoutParam : public OpParam {
+ public:
+  DropoutParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
+               const AttributeMap &attrs, const Scope &scope) {
+    input_x_ = InputXFrom<LoDTensor>(inputs, scope);
+    out_ = OutFrom<LoDTensor>(outputs, scope);
+  }
+
+  const Tensor *InputX() const { return input_x_; }
+
+  Tensor *Out() const { return out_; }
+
+ private:
+  Tensor *input_x_;
+  Tensor *out_;
+};
 #endif
-    
+
 }  // namespace operators
 }  // namespace paddle_mobile
-- 
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