From 076009ebe308fde0156304e701f36e8bb04e4d6b Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 17 Jul 2014 17:14:59 +0000
Subject: [PATCH] Fixed batch stuff in conv layer

---
 src/im2col.c |   72 ++++++++++++++++++++++++++++++-----
 1 files changed, 61 insertions(+), 11 deletions(-)

diff --git a/src/im2col.c b/src/im2col.c
index 899f73a..89748c9 100644
--- a/src/im2col.c
+++ b/src/im2col.c
@@ -1,32 +1,82 @@
 #include "mini_blas.h"
+#include <stdio.h>
+
+inline float im2col_get_pixel(float *im, int height, int width, int channels,
+                        int row, int col, int channel, int pad)
+{
+    row -= pad;
+    col -= pad;
+
+    if (row < 0 || col < 0 ||
+        row >= height || col >= width) return 0;
+    return im[col + width*(row + channel*height)];
+}
 
 //From Berkeley Vision's Caffe!
 //https://github.com/BVLC/caffe/blob/master/LICENSE
-void im2col_cpu(float* data_im,
+void im2col_cpu_batch(float* data_im,
     const int batch, const int channels, const int height, const int width,
-    const int ksize, const int stride, float* data_col) 
+    const int ksize, const int stride, int pad, float* data_col) 
 {
     int c,h,w,b;
     int height_col = (height - ksize) / stride + 1;
     int width_col = (width - ksize) / stride + 1;
+    if (pad){
+        height_col = 1 + (height-1) / stride;
+        width_col = 1 + (width-1) / stride;
+        pad = ksize/2;
+    }
     int channels_col = channels * ksize * ksize;
     int im_size = height*width*channels;
-    int col_size = height_col*width_col*channels_col;
-    for(b = 0; b < batch; ++b){
-        for ( c = 0; c < channels_col; ++c) {
+    //int col_size = height_col*width_col*channels_col;
+    for (b = 0; b < batch; ++b) {
+        for (c = 0; c < channels_col; ++c) {
             int w_offset = c % ksize;
             int h_offset = (c / ksize) % ksize;
             int c_im = c / ksize / ksize;
-            for ( h = 0; h < height_col; ++h) {
-                for ( w = 0; w < width_col; ++w) {
-                    data_col[(c * height_col + h) * width_col + w] =
-                    data_im[(c_im * height + h * stride + h_offset) * width
-                        + w * stride + w_offset];
+            for (h = 0; h < height_col; ++h) {
+                for (w = 0; w < width_col; ++w) {
+                    int im_row = h_offset + h * stride;
+                    int im_col = w_offset + w * stride;
+                    int col_index = (c * height_col + h) * width_col + w + (batch-1) * c * height_col*width_col;
+                    data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
+                                        im_row, im_col, c_im, pad);
                 }
             }
         }
         data_im += im_size;
-        data_col+= col_size;
+        data_col+= channels_col;
+    }
+}
+
+//From Berkeley Vision's Caffe!
+//https://github.com/BVLC/caffe/blob/master/LICENSE
+void im2col_cpu(float* data_im,
+    const int channels, const int height, const int width,
+    const int ksize, const int stride, int pad, float* data_col) 
+{
+    int c,h,w;
+    int height_col = (height - ksize) / stride + 1;
+    int width_col = (width - ksize) / stride + 1;
+    if (pad){
+        height_col = 1 + (height-1) / stride;
+        width_col = 1 + (width-1) / stride;
+        pad = ksize/2;
+    }
+    int channels_col = channels * ksize * ksize;
+    for (c = 0; c < channels_col; ++c) {
+        int w_offset = c % ksize;
+        int h_offset = (c / ksize) % ksize;
+        int c_im = c / ksize / ksize;
+        for (h = 0; h < height_col; ++h) {
+            for (w = 0; w < width_col; ++w) {
+                int im_row = h_offset + h * stride;
+                int im_col = w_offset + w * stride;
+                int col_index = (c * height_col + h) * width_col + w;
+                data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
+                        im_row, im_col, c_im, pad);
+            }
+        }
     }
 }
 

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