diff --git a/src/operators/kernel/fpga/feed-kernel.cpp b/src/operators/kernel/fpga/feed-kernel.cpp
deleted file mode 100644
index c42f3345ea0a01f22766d33341aed558baf51d25..0000000000000000000000000000000000000000
--- a/src/operators/kernel/fpga/feed-kernel.cpp
+++ /dev/null
@@ -1,55 +0,0 @@
-/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-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 paddle_mobile
-