From 064d4462d3890fd5dda5c7845119e1a3854d477b Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 26 Nov 2015 21:45:12 +0000
Subject: [PATCH] stuff

---
 src/cost_layer.c |   24 ++++++++++++++++++------
 1 files changed, 18 insertions(+), 6 deletions(-)

diff --git a/src/cost_layer.c b/src/cost_layer.c
index 24f6ffa..7593490 100644
--- a/src/cost_layer.c
+++ b/src/cost_layer.c
@@ -26,12 +26,13 @@
     return "sse";
 }
 
-cost_layer make_cost_layer(int batch, int inputs, COST_TYPE cost_type)
+cost_layer make_cost_layer(int batch, int inputs, COST_TYPE cost_type, float scale)
 {
     fprintf(stderr, "Cost Layer: %d inputs\n", inputs);
     cost_layer l = {0};
     l.type = COST;
 
+    l.scale = scale;
     l.batch = batch;
     l.inputs = inputs;
     l.outputs = inputs;
@@ -44,13 +45,24 @@
     return l;
 }
 
+void resize_cost_layer(cost_layer *l, int inputs)
+{
+    l->inputs = inputs;
+    l->outputs = inputs;
+    l->delta = realloc(l->delta, inputs*l->batch*sizeof(float));
+#ifdef GPU
+    cuda_free(l->delta_gpu);
+    l->delta_gpu = cuda_make_array(l->delta, inputs*l->batch);
+#endif
+}
+
 void forward_cost_layer(cost_layer l, network_state state)
 {
     if (!state.truth) return;
     if(l.cost_type == MASKED){
         int i;
         for(i = 0; i < l.batch*l.inputs; ++i){
-            if(state.truth[i] == 0) state.input[i] = 0;
+            if(state.truth[i] == SECRET_NUM) state.input[i] = SECRET_NUM;
         }
     }
     copy_cpu(l.batch*l.inputs, state.truth, 1, l.delta, 1);
@@ -61,7 +73,7 @@
 
 void backward_cost_layer(const cost_layer l, network_state state)
 {
-    copy_cpu(l.batch*l.inputs, l.delta, 1, state.delta, 1);
+    axpy_cpu(l.batch*l.inputs, l.scale, l.delta, 1, state.delta, 1);
 }
 
 #ifdef GPU
@@ -80,9 +92,9 @@
 {
     if (!state.truth) return;
     if (l.cost_type == MASKED) {
-        mask_ongpu(l.batch*l.inputs, state.input, state.truth);
+        mask_ongpu(l.batch*l.inputs, state.input, SECRET_NUM, state.truth);
     }
-    
+
     copy_ongpu(l.batch*l.inputs, state.truth, 1, l.delta_gpu, 1);
     axpy_ongpu(l.batch*l.inputs, -1, state.input, 1, l.delta_gpu, 1);
 
@@ -92,7 +104,7 @@
 
 void backward_cost_layer_gpu(const cost_layer l, network_state state)
 {
-    copy_ongpu(l.batch*l.inputs, l.delta_gpu, 1, state.delta, 1);
+    axpy_ongpu(l.batch*l.inputs, l.scale, l.delta_gpu, 1, state.delta, 1);
 }
 #endif
 

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