diff --git a/mobile/src/operators/kernel/fpga/V1/.fetch_kernel.cpp.swp b/mobile/src/operators/kernel/fpga/V1/.fetch_kernel.cpp.swp
deleted file mode 100644
index a49df219da80b5418ef845304c9d3619a269a5f3..0000000000000000000000000000000000000000
Binary files a/mobile/src/operators/kernel/fpga/V1/.fetch_kernel.cpp.swp and /dev/null differ
diff --git a/mobile/src/operators/kernel/fpga/V1/fetch_kernel.cpp b/mobile/src/operators/kernel/fpga/V1/fetch_kernel.cpp
index 89cfe8f2635c4dc3ea4ebaf8a8466cbb84c723c5..4309146afd98e124f2dbe5ecb14a505db69fce1e 100644
--- a/mobile/src/operators/kernel/fpga/V1/fetch_kernel.cpp
+++ b/mobile/src/operators/kernel/fpga/V1/fetch_kernel.cpp
@@ -80,7 +80,7 @@ void FetchKernel<FPGA, float>::Compute(const FetchParam<FPGA> &param) {
   auto output = &param.Out()->at(col);
   if (input->type() == type_id<float>()) {
     output->ShareDataWith(*input);
-    // output dims  equal to input dim
+    // output dims  ==  input dim
     output->Resize(input->dims());
     return;
   }
diff --git a/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp b/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp
index e41061d4d1b25ebc379b1eeca0990d6073f4b6b0..8697739b0a20378df53636bdeedc5edf3c877ed8 100644
--- a/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp
+++ b/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp
@@ -92,69 +92,67 @@ void reshape(LoDTensor *input, LoDTensor *output) {
   fpga::fpga_flush(output_ptr, Hr * WCr_align * sizeof(half));
 }
 
-static inline bool reshape2_judge(const framework::DDim input_dims,const framework::DDim output_dims){
-	int input_dims_size = input_dims.size();
-	int output_dims_size = output_dims.size();
-	bool dims_flag2 = true;
-	auto temp_dims = input_dims_size > output_dims_size ? input_dims : output_dims;
-	int  short_dims = input_dims_size > output_dims_size ? output_dims_size : input_dims_size;
-	for(int i = 0; i < temp_dims.size(); ++i){
-	   if(i < short_dims){
-		   if(input_dims[i] != output_dims[i]){
-				 dims_flag2 = false;
-				 break;
-		   }
-	   }
-	   else{
-		   if(temp_dims[i] != 1){
-			   dims_flag2 = false;
-			   break;
-		   }
-	   }
-	}
-	return dims_flag2;
-
-
+static inline bool reshape2_judge(const framework::DDim input_dims,
+           const framework::DDim output_dims) {
+    int input_dims_size = input_dims.size();
+    int output_dims_size = output_dims.size();
+    bool dims_flag2 = true;
+    auto temp_dims = input_dims_size > output_dims_size ?
+                    input_dims : output_dims;
+    int  short_dims = input_dims_size > output_dims_size ?
+        output_dims_size : input_dims_size;
+    for (int i = 0; i < temp_dims.size(); ++i) {
+        if (i < short_dims) {
+            if (input_dims[i] != output_dims[i]) {
+                 dims_flag2 = false;
+                 break;
+            }
+        } else {
+            if (temp_dims[i] != 1) {
+                dims_flag2 = false;
+                break;
+            }
+        }
+    }
+    return dims_flag2;
 }
 
 template <>
 void Reshape2Kernel<FPGA, float>::Compute(const Reshape2Param<FPGA> &param) {
-  auto input = const_cast<LoDTensor *>(param.InputX());
-  auto output = param.Out();
-  auto shape = param.Shape();
-
-  auto num_in = framework::product(input->dims());
-  auto num_shape = framework::product(framework::make_ddim(shape));
-  PADDLE_MOBILE_ENFORCE(num_shape != 0, "0 index is not supported");
-
-  for (int i = 0; i < shape.size(); i++) {
-    if (shape[i] == -1) {
-      shape[i] = static_cast<int>(-num_in / num_shape);
-      break;
+    auto input = const_cast<LoDTensor *>(param.InputX());
+    auto output = param.Out();
+    auto shape = param.Shape();
+
+    auto num_in = framework::product(input->dims());
+    auto num_shape = framework::product(framework::make_ddim(shape));
+    PADDLE_MOBILE_ENFORCE(num_shape != 0, "0 index is not supported");
+
+    for (int i = 0; i < shape.size(); i++) {
+        if (shape[i] == -1) {
+            shape[i] = static_cast<int>(-num_in / num_shape);
+            break;
+        }
     }
-  }
-  output->Resize(framework::make_ddim(shape));
+    output->Resize(framework::make_ddim(shape));
 
-  auto input_dims = input->dims();
-  auto output_dims = output->dims();
+    auto input_dims = input->dims();
+    auto output_dims = output->dims();
 
-  bool dims_flags = input_dims  == output_dims;
-  bool dims_flag2 = true;
+    bool dims_flags = input_dims  == output_dims;
+    bool dims_flag2 = true;
 
-  if(!dims_flags){
-	 dims_flag2 = reshape2_judge(input_dims, output_dims);
-  }
- 
-  
-  if (dims_flags || dims_flag2 ) {
-    DLOG << "No need to reshape";
-    output->ShareDataWith(*input);
-    framework::LoD lod = input->lod();
-    output->set_lod(lod);
-    return;
-  }
+    if (!dims_flags) {
+        dims_flag2 = reshape2_judge(input_dims, output_dims);
+    }
+    if (dims_flags || dims_flag2) {
+        DLOG << "No need to reshape";
+        output->ShareDataWith(*input);
+        framework::LoD lod = input->lod();
+        output->set_lod(lod);
+        return;
+    }
 
-  reshape(input, output);
+    reshape(input, output);
   //
 }