diff --git a/src/operators/kernel/fpga/V1/feed_kernel.cpp b/src/operators/kernel/fpga/V1/feed_kernel.cpp
index 161d8c9f0cf22ac79d1367e07b8ba3318a7a7123..9c6468404e334a5a3002f8702d4f3b9818028f77 100644
--- a/src/operators/kernel/fpga/V1/feed_kernel.cpp
+++ b/src/operators/kernel/fpga/V1/feed_kernel.cpp
@@ -28,8 +28,8 @@ 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);
+  auto input_ptr = input->data<float>();
   Tensor *output = param.Out();
   auto output_ptr = output->data<float>();
 
diff --git a/src/operators/kernel/fpga/V2/feed_kernel.cpp b/src/operators/kernel/fpga/V2/feed_kernel.cpp
index 4092307083bd38346b03857b8e9ec858795f3941..d1a721b5eb02a775498c17adcae84ce560ac1135 100644
--- a/src/operators/kernel/fpga/V2/feed_kernel.cpp
+++ b/src/operators/kernel/fpga/V2/feed_kernel.cpp
@@ -29,8 +29,8 @@ 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);
+  auto input_ptr = input->data<float>();
   Tensor *output = param.Out();
   auto output_ptr = output->data<float>();