diff --git a/src/operators/kernel/fpga/feed_kernel.cpp b/src/operators/kernel/fpga/feed_kernel.cpp
index c42f3345ea0a01f22766d33341aed558baf51d25..161d8c9f0cf22ac79d1367e07b8ba3318a7a7123 100644
--- a/src/operators/kernel/fpga/feed_kernel.cpp
+++ b/src/operators/kernel/fpga/feed_kernel.cpp
@@ -15,41 +15,41 @@ limitations under the License. */
 #include "operators/kernel/feed_kernel.h"
 
 namespace paddle_mobile {
-    namespace operators {
-
-        template <>
-        bool FeedKernel<FPGA, float>::Init(FeedParam<FPGA> *param) {
-            Tensor *output = param->Out();
-            fpga::format_fp16_ofm(output);
-            return true;
-        }
-
-        template <>
-        void FeedKernel<FPGA, float>::Compute(const FeedParam<FPGA> &param) {
-            auto input = reinterpret_cast<Tensor *>(const_cast<LoDTensor *>(param.InputX()));
-            auto input_ptr = input->data<float>();
-            fpga::format_image(input);
-            Tensor *output = param.Out();
-            auto output_ptr = output->data<float>();
-
-            fpga::BypassArgs args = {fpga::DATA_TYPE_FP32};
-
-            args.input_data_type = fpga::DATA_TYPE_FP32;
-            args.output_data_type = fpga::DATA_TYPE_FP16;
-            args.input_layout_type = fpga::LAYOUT_CHW;
-            args.output_layout_type = fpga::LAYOUT_HWC;
-            args.image.address = reinterpret_cast<void *>(input_ptr);
-            args.image.channels = (uint32_t)input->dims()[1];
-            args.image.height = (uint32_t)input->dims()[2];
-            args.image.width = (uint32_t)input->dims()[3];
-            args.image.pad_height = 0;
-            args.image.pad_width = 0;
-            args.output.address = output_ptr;
-            args.output.scale_address = output->scale;
-            fpga::PerformBypass(args);
-        }
-        template class FeedKernel<FPGA, float>;
-
-    }  // namespace operators
+namespace operators {
+
+template <>
+bool FeedKernel<FPGA, float>::Init(FeedParam<FPGA> *param) {
+  Tensor *output = param->Out();
+  fpga::format_fp16_ofm(output);
+  return true;
+}
+
+template <>
+void FeedKernel<FPGA, float>::Compute(const FeedParam<FPGA> &param) {
+  auto input =
+      reinterpret_cast<Tensor *>(const_cast<LoDTensor *>(param.InputX()));
+  auto input_ptr = input->data<float>();
+  fpga::format_image(input);
+  Tensor *output = param.Out();
+  auto output_ptr = output->data<float>();
+
+  fpga::BypassArgs args = {fpga::DATA_TYPE_FP32};
+
+  args.input_data_type = fpga::DATA_TYPE_FP32;
+  args.output_data_type = fpga::DATA_TYPE_FP16;
+  args.input_layout_type = fpga::LAYOUT_CHW;
+  args.output_layout_type = fpga::LAYOUT_HWC;
+  args.image.address = reinterpret_cast<void *>(input_ptr);
+  args.image.channels = (uint32_t)input->dims()[1];
+  args.image.height = (uint32_t)input->dims()[2];
+  args.image.width = (uint32_t)input->dims()[3];
+  args.image.pad_height = 0;
+  args.image.pad_width = 0;
+  args.output.address = output_ptr;
+  args.output.scale_address = output->scale;
+  fpga::PerformBypass(args);
+}
+template class FeedKernel<FPGA, float>;
+
+}  // namespace operators
 }  // namespace paddle_mobile
-