diff --git a/paddle/function/GemmConvOp.h b/paddle/function/GemmConvOp.h
deleted file mode 100644
index f724643f35af909b9557fe2282f23d4c062c8e8e..0000000000000000000000000000000000000000
--- a/paddle/function/GemmConvOp.h
+++ /dev/null
@@ -1,85 +0,0 @@
-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
-
-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. */
-
-#pragma once
-
-// #include "ConvOp.h"
-
-namespace paddle {
-
-/* The storage format of the coldata in the Im2ColFunctor and Col2ImFunctor. */
-enum ColFormat { kCFO = 0, kOCF = 1 };
-
-/*
- * \brief Converts the image data of four dimensions(NCHW) into a colData.
- *        Then you can reshape colData to a convolution matrix for
- *        convolution calculation based on matrix multiplication.
- *
- * \param imData  Image data of NCHW format.
- *                The format of imData is:
- *                [input_channels, input_height, input_width].
- * \param colData colData data.
- *                If the template argument Format is kCFO,
- *                the format of colData is:
- *                [input_channels,
- *                 filter_height,
- *                 filter_width,
- *                 output_height,
- *                 output_width]
- *                If the template argument Format is kOCF,
- *                the format of colData is:
- *                [output_height,
- *                 output_width,
- *                 input_channels,
- *                 filter_height,
- *                 filter_width]
- * TODO(hedaoyuan): Refactor the arguments of the interface with TensorShape.
- */
-template <ColFormat Format, DeviceType Device, class T>
-class Im2ColFunctor {
-public:
-  void operator()(const T* imData,
-                  int inputChannels,
-                  int inputHeight,
-                  int inputWidth,
-                  int filterHeight,
-                  int filterWidth,
-                  int strideHeight,
-                  int strideWidth,
-                  int paddingHeight,
-                  int paddingWidth,
-                  int outputHeight,
-                  int outputWidth,
-                  T* colData);
-};
-
-template <ColFormat Format, DeviceType Device, class T>
-class Col2ImFunctor {
-public:
-  void operator()(const T* colData,
-                  int inputChannels,
-                  int inputHeight,
-                  int inputWidth,
-                  int filterHeight,
-                  int filterWidth,
-                  int strideHeight,
-                  int strideWidth,
-                  int paddingHeight,
-                  int paddingWidth,
-                  int outputHeight,
-                  int outputWidth,
-                  T* imData);
-};
-
-}  // namespace paddle