From 9802287b5890d9b2cc250adba1b9810657a95c9c Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 18 Dec 2015 23:55:58 +0000
Subject: [PATCH] some fixes
---
src/cost_layer.c | 20 ++++++++++++++++----
1 files changed, 16 insertions(+), 4 deletions(-)
diff --git a/src/cost_layer.c b/src/cost_layer.c
index d1ae6e5..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;
@@ -44,6 +45,17 @@
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;
@@ -61,7 +73,7 @@
void backward_cost_layer(const cost_layer l, network_state state)
{
- axpy_cpu(l.batch*l.inputs, 1, l.delta, 1, state.delta, 1);
+ axpy_cpu(l.batch*l.inputs, l.scale, l.delta, 1, state.delta, 1);
}
#ifdef GPU
@@ -82,7 +94,7 @@
if (l.cost_type == MASKED) {
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)
{
- axpy_ongpu(l.batch*l.inputs, 1, 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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