From 4373f897f1a5efd1a58746c44430dc33df925415 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 07 Feb 2018 22:07:19 +0000
Subject: [PATCH] Fixed densenet201_yolo.cfg - burn_in and poly policy, that changes learning rate
---
src/cost_layer.c | 8 +++++++-
1 files changed, 7 insertions(+), 1 deletions(-)
diff --git a/src/cost_layer.c b/src/cost_layer.c
index 0d8cb8c..39d2398 100644
--- a/src/cost_layer.c
+++ b/src/cost_layer.c
@@ -31,7 +31,7 @@
cost_layer make_cost_layer(int batch, int inputs, COST_TYPE cost_type, float scale)
{
- fprintf(stderr, "Cost Layer: %d inputs\n", inputs);
+ fprintf(stderr, "cost %4d\n", inputs);
cost_layer l = {0};
l.type = COST;
@@ -43,7 +43,13 @@
l.delta = calloc(inputs*batch, sizeof(float));
l.output = calloc(inputs*batch, sizeof(float));
l.cost = calloc(1, sizeof(float));
+
+ l.forward = forward_cost_layer;
+ l.backward = backward_cost_layer;
#ifdef GPU
+ l.forward_gpu = forward_cost_layer_gpu;
+ l.backward_gpu = backward_cost_layer_gpu;
+
l.delta_gpu = cuda_make_array(l.output, inputs*batch);
l.output_gpu = cuda_make_array(l.delta, inputs*batch);
#endif
--
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