From e90afa6ec164ae640db3902974288fc175fcbf55 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Mon, 05 Mar 2018 20:07:33 +0000
Subject: [PATCH] resnet152_yolo.cfg uses learning_rate, steps, scales, decay, momentum as in the RetinaNet
---
src/dropout_layer.c | 2 +-
1 files changed, 1 insertions(+), 1 deletions(-)
diff --git a/src/dropout_layer.c b/src/dropout_layer.c
index 82be64b..b1381e6 100644
--- a/src/dropout_layer.c
+++ b/src/dropout_layer.c
@@ -6,7 +6,6 @@
dropout_layer make_dropout_layer(int batch, int inputs, float probability)
{
- fprintf(stderr, "Dropout Layer: %d inputs, %f probability\n", inputs, probability);
dropout_layer l = {0};
l.type = DROPOUT;
l.probability = probability;
@@ -22,6 +21,7 @@
l.backward_gpu = backward_dropout_layer_gpu;
l.rand_gpu = cuda_make_array(l.rand, inputs*batch);
#endif
+ fprintf(stderr, "dropout p = %.2f %4d -> %4d\n", probability, inputs, inputs);
return l;
}
--
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