Remove useless code.

paddle/function/GemmConvOp.h

-/* 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 {
-
-/*
- * imData = [input_channels, input_height, input_width]
- * colData = [input_channels, filter_height, filter_width,
- *            output_height, output_width]
- */
-template <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 <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

paddle/function/GemmConvOpGpu.cu

-/* 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. */
-
-#include "ConvOp.h"
-#include "GemmConvOp.h"
-
-namespace paddle {
-
-template<class T>
-__global__
-void im2col(const T* data_im, int numOuts, int height, int width,
-            int blockH, int blockW,
-            int strideH, int strideW,
-            int paddingH, int paddingW,
-            int height_col, int width_col,
-            T* data_col) {
-  int index =
-    (blockIdx.x * gridDim.y + blockIdx.y) * blockDim.x + threadIdx.x;
-  if (index < numOuts) {
-    int w_out = index % width_col;
-    index /= width_col;
-    int h_out = index % height_col;
-    int channel_in = index / height_col;
-    int channel_out = channel_in * blockH * blockW;
-    int h_in = h_out * strideH;
-    int w_in = w_out * strideW;
-
-    data_col += (channel_out * height_col + h_out) * width_col + w_out;
-    for (int i = 0; i < blockH; ++i) {
-      for (int j = 0; j < blockW; ++j) {
-        int rIdx = int(h_in+i);
-        int cIdx = int(w_in+j);
-        if ((rIdx-(int)paddingH) >= (int)height ||
-            (rIdx-(int)paddingH) < 0 ||
-            (cIdx-(int)paddingW) >= (int)width ||
-            (cIdx-(int)paddingW) < 0) {
-          *data_col = 0;
-        } else {
-          rIdx = rIdx + channel_in*height - paddingH;
-          cIdx = cIdx - paddingW;
-          *data_col = data_im[rIdx* width + cIdx];
-        }
-        data_col += height_col * width_col;
-      }
-    }
-  }
-}
-
-template <class T>
-class Im2ColFunctor<DEVICE_TYPE_GPU, T> {
-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) {
-    int numKernels = inputChannels * outputHeight * outputWidth;
-    int blocks = (numKernels + 1024 -1) / 1024;
-    int blockX = 512;
-    int blockY = (blocks + 512 - 1) / 512;
-    dim3 threads(1024, 1);
-    dim3 grid(blockX, blockY);
-    im2col<T><<< grid, threads, 0, STREAM_DEFAULT >>>
-        (imData, numKernels, inputHeight, inputWidth, filterHeight, filterWidth,
-         strideHeight, strideWidth, paddingHeight, paddingWidth,
-         outputHeight, outputWidth, colData);
-    CHECK_SYNC("Im2ColFunctor GPU failed");
-  }
-};
-
-template<class T>
-__global__
-void col2im(size_t n, const T* data_col, size_t height,
-            size_t width, size_t channels,
-            size_t blockH, size_t blockW,
-            size_t strideH, size_t strideW,
-            size_t paddingH, size_t paddingW,
-            size_t height_col, size_t width_col,
-            T* data_im) {
-  size_t index =
-    (blockIdx.x * gridDim.y + blockIdx.y) * blockDim.x + threadIdx.x;
-  if (index < n) {
-    T val = 0;
-    int w = int(index % width);
-    int h = int((index / width) % height);
-    int c = int(index / (width * height));
-    if ((w - (int)paddingW) >= 0 &&
-        (w - (int)paddingW) < (width-2 * paddingW) &&
-        (h - (int)paddingH) >= 0 &&
-        (h - paddingH) < (height - 2 * paddingH)) {
-      // compute the start and end of the output
-      int w_col_start =
-        (w < (int)blockW) ? 0 : (w - int(blockW)) / (int)strideW + 1;
-      int w_col_end =
-        min((int)(w / (int)strideW + 1), (int)(width_col));
-      int h_col_start =
-        (h < (int)blockH) ? 0 : (h - (int)blockH) / (int)strideH + 1;
-      int h_col_end = min(int(h / strideH + 1), int(height_col));
-      for (int h_col = h_col_start; h_col < h_col_end; ++h_col) {
-        for (int w_col = w_col_start; w_col < w_col_end; ++w_col) {
-          // the col location: [c * width * height + h_out, w_out]
-          int c_col = int(c * blockH* blockW) + \
-            (h - h_col * (int)strideH) * (int)blockW +
-            (w - w_col * (int)strideW);
-          val += data_col[(c_col * height_col + h_col) * width_col + w_col];
-        }
-      }
-      h -= paddingH;
-      w -= paddingW;
-      data_im[c*((width-2*paddingW) * (height-2*paddingH)) +
-              h*(width-2*paddingW) + w] += val;
-    }
-  }
-}
-
-template <class T>
-class Col2ImFunctor<DEVICE_TYPE_GPU, T> {
-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) {
-    size_t numKernels = inputChannels * (inputHeight + 2*paddingHeight)
-        * (inputWidth + 2*paddingWidth);
-
-    size_t blocks = (numKernels + 1024 -1) / 1024;
-    size_t blockX = 512;
-    size_t blockY = (blocks+512-1)/512;
-    dim3 threads(1024, 1);
-    dim3 grid(blockX, blockY);
-
-    // To avoid involving atomic operations, we will launch one kernel per
-    // bottom dimension, and then in the kernel add up the top dimensions.
-    col2im<T><<< grid, threads, 0, STREAM_DEFAULT >>>
-             (numKernels,
-              colData,
-              inputHeight + 2*paddingHeight,
-              inputWidth + 2*paddingWidth,
-              inputChannels,
-              filterHeight,
-              filterWidth,
-              strideHeight,
-              strideWidth,
-              paddingHeight,
-              paddingWidth,
-              outputHeight,
-              outputWidth,
-              imData);
-    CHECK_SYNC("Col2ImFunctor GPU failed");
-  }
-};
-
-template class Im2ColFunctor<DEVICE_TYPE_GPU, float>;
-template class Im2ColFunctor<DEVICE_TYPE_GPU, double>;
-template class Col2ImFunctor<DEVICE_TYPE_GPU, float>;
-template class Col2ImFunctor<DEVICE_TYPE_GPU, double>;
-
-}  // namespace paddle