im2col actually works now

src/im2col.cl

@@ -28,7 +28,7 @@ __kernel void im2col_pad(__global float *im,  int batch,
     int im_row = h_offset + h * stride - pad;
     int im_col = w_offset + w * stride - pad;
 
-    int im_index = im_col + width*(im_row + height*(im_channel+batch*channels));
+    int im_index = im_col + width*(im_row + height*(im_channel+b*channels));
     float val = (im_row < 0 || im_col < 0 || im_row >= height || im_col >= width) ? 0 : im[im_index];
 
     data_col[col_index] = val;
@@ -61,7 +61,7 @@ __kernel void im2col_nopad(__global float *im,  int batch,
     int im_row = h_offset + h * stride;
     int im_col = w_offset + w * stride;
 
-    int im_index = im_col + width*(im_row + height*(im_channel+batch*channels));
+    int im_index = im_col + width*(im_row + height*(im_channel+b*channels));
     float val = (im_row < 0 || im_col < 0 || im_row >= height || im_col >= width) ? 0 : im[im_index];
 
     data_col[col_index] = val;

src/network.c

@@ -38,7 +38,7 @@ void forward_network_gpu(network net, cl_mem input, cl_mem truth, int train)
     //printf("start\n");
     int i;
     for(i = 0; i < net.n; ++i){
-        clock_t time = clock();
+        //clock_t time = clock();
         if(net.types[i] == CONVOLUTIONAL){
             convolutional_layer layer = *(convolutional_layer *)net.layers[i];
             forward_convolutional_layer_gpu(layer, input);
@@ -63,7 +63,7 @@ void forward_network_gpu(network net, cl_mem input, cl_mem truth, int train)
             forward_softmax_layer_gpu(layer, input);
             input = layer.output_cl;
         }
-        printf("%d %f\n", i, sec(clock()-time));
+        //printf("%d %f\n", i, sec(clock()-time));
         /*
            else if(net.types[i] == CROP){
            crop_layer layer = *(crop_layer *)net.layers[i];
@@ -85,7 +85,7 @@ void backward_network_gpu(network net, cl_mem input)
     cl_mem prev_input;
     cl_mem prev_delta;
     for(i = net.n-1; i >= 0; --i){
-        clock_t time = clock();
+        //clock_t time = clock();
         if(i == 0){
             prev_input = input;
             prev_delta = 0;
@@ -113,7 +113,7 @@ void backward_network_gpu(network net, cl_mem input)
             softmax_layer layer = *(softmax_layer *)net.layers[i];
             backward_softmax_layer_gpu(layer, prev_delta);
         }
-        printf("back: %d %f\n", i, sec(clock()-time));
+        //printf("back: %d %f\n", i, sec(clock()-time));
     }
 }