From 815e7a127b062aa8bc4f4ba7af2cfd97c232f34c Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 02 Aug 2017 21:48:29 +0000
Subject: [PATCH] Supported OpenCV 3.0 and 2.4.13. Supported Windows and Linux.

---
 src/route_layer.c |   58 +++++++++++++++++++++++++++++++++++++++++++++++++---------
 1 files changed, 49 insertions(+), 9 deletions(-)

diff --git a/src/route_layer.c b/src/route_layer.c
index df50b64..dce7118 100644
--- a/src/route_layer.c
+++ b/src/route_layer.c
@@ -5,7 +5,7 @@
 
 route_layer make_route_layer(int batch, int n, int *input_layers, int *input_sizes)
 {
-    fprintf(stderr,"Route Layer:");
+    fprintf(stderr,"route ");
     route_layer l = {0};
     l.type = ROUTE;
     l.batch = batch;
@@ -23,20 +23,60 @@
     l.inputs = outputs;
     l.delta =  calloc(outputs*batch, sizeof(float));
     l.output = calloc(outputs*batch, sizeof(float));;
+
+    l.forward = forward_route_layer;
+    l.backward = backward_route_layer;
     #ifdef GPU
+    l.forward_gpu = forward_route_layer_gpu;
+    l.backward_gpu = backward_route_layer_gpu;
+
     l.delta_gpu =  cuda_make_array(l.delta, outputs*batch);
     l.output_gpu = cuda_make_array(l.output, outputs*batch);
     #endif
     return l;
 }
 
-void forward_route_layer(const route_layer l, network net)
+void resize_route_layer(route_layer *l, network *net)
+{
+    int i;
+    layer first = net->layers[l->input_layers[0]];
+    l->out_w = first.out_w;
+    l->out_h = first.out_h;
+    l->out_c = first.out_c;
+    l->outputs = first.outputs;
+    l->input_sizes[0] = first.outputs;
+    for(i = 1; i < l->n; ++i){
+        int index = l->input_layers[i];
+        layer next = net->layers[index];
+        l->outputs += next.outputs;
+        l->input_sizes[i] = next.outputs;
+        if(next.out_w == first.out_w && next.out_h == first.out_h){
+            l->out_c += next.out_c;
+        }else{
+            printf("%d %d, %d %d\n", next.out_w, next.out_h, first.out_w, first.out_h);
+            l->out_h = l->out_w = l->out_c = 0;
+        }
+    }
+    l->inputs = l->outputs;
+    l->delta =  realloc(l->delta, l->outputs*l->batch*sizeof(float));
+    l->output = realloc(l->output, l->outputs*l->batch*sizeof(float));
+
+#ifdef GPU
+    cuda_free(l->output_gpu);
+    cuda_free(l->delta_gpu);
+    l->output_gpu  = cuda_make_array(l->output, l->outputs*l->batch);
+    l->delta_gpu   = cuda_make_array(l->delta,  l->outputs*l->batch);
+#endif
+    
+}
+
+void forward_route_layer(const route_layer l, network_state state)
 {
     int i, j;
     int offset = 0;
     for(i = 0; i < l.n; ++i){
         int index = l.input_layers[i];
-        float *input = net.layers[index].output;
+        float *input = state.net.layers[index].output;
         int input_size = l.input_sizes[i];
         for(j = 0; j < l.batch; ++j){
             copy_cpu(input_size, input + j*input_size, 1, l.output + offset + j*l.outputs, 1);
@@ -45,13 +85,13 @@
     }
 }
 
-void backward_route_layer(const route_layer l, network net)
+void backward_route_layer(const route_layer l, network_state state)
 {
     int i, j;
     int offset = 0;
     for(i = 0; i < l.n; ++i){
         int index = l.input_layers[i];
-        float *delta = net.layers[index].delta;
+        float *delta = state.net.layers[index].delta;
         int input_size = l.input_sizes[i];
         for(j = 0; j < l.batch; ++j){
             axpy_cpu(input_size, 1, l.delta + offset + j*l.outputs, 1, delta + j*input_size, 1);
@@ -61,13 +101,13 @@
 }
 
 #ifdef GPU
-void forward_route_layer_gpu(const route_layer l, network net)
+void forward_route_layer_gpu(const route_layer l, network_state state)
 {
     int i, j;
     int offset = 0;
     for(i = 0; i < l.n; ++i){
         int index = l.input_layers[i];
-        float *input = net.layers[index].output_gpu;
+        float *input = state.net.layers[index].output_gpu;
         int input_size = l.input_sizes[i];
         for(j = 0; j < l.batch; ++j){
             copy_ongpu(input_size, input + j*input_size, 1, l.output_gpu + offset + j*l.outputs, 1);
@@ -76,13 +116,13 @@
     }
 }
 
-void backward_route_layer_gpu(const route_layer l, network net)
+void backward_route_layer_gpu(const route_layer l, network_state state)
 {
     int i, j;
     int offset = 0;
     for(i = 0; i < l.n; ++i){
         int index = l.input_layers[i];
-        float *delta = net.layers[index].delta_gpu;
+        float *delta = state.net.layers[index].delta_gpu;
         int input_size = l.input_sizes[i];
         for(j = 0; j < l.batch; ++j){
             axpy_ongpu(input_size, 1, l.delta_gpu + offset + j*l.outputs, 1, delta + j*input_size, 1);

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