From a1af57d8d60b50e8188f36b7f74752c8cc124177 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Thu, 15 Feb 2018 12:43:25 +0000
Subject: [PATCH] Added C implementation of calculation mAP (mean average precision) using Darknet

---
 src/crnn_layer.c |   14 +++++++++++---
 1 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/src/crnn_layer.c b/src/crnn_layer.c
index 5d5fa63..5495880 100644
--- a/src/crnn_layer.c
+++ b/src/crnn_layer.c
@@ -48,23 +48,31 @@
 
     l.input_layer = malloc(sizeof(layer));
     fprintf(stderr, "\t\t");
-    *(l.input_layer) = make_convolutional_layer(batch*steps, h, w, c, hidden_filters, 3, 1, 1,  activation, batch_normalize, 0, 0);
+    *(l.input_layer) = make_convolutional_layer(batch*steps, h, w, c, hidden_filters, 3, 1, 1,  activation, batch_normalize, 0, 0, 0);
     l.input_layer->batch = batch;
 
     l.self_layer = malloc(sizeof(layer));
     fprintf(stderr, "\t\t");
-    *(l.self_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, hidden_filters, 3, 1, 1,  activation, batch_normalize, 0, 0);
+    *(l.self_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, hidden_filters, 3, 1, 1,  activation, batch_normalize, 0, 0, 0);
     l.self_layer->batch = batch;
 
     l.output_layer = malloc(sizeof(layer));
     fprintf(stderr, "\t\t");
-    *(l.output_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, output_filters, 3, 1, 1,  activation, batch_normalize, 0, 0);
+    *(l.output_layer) = make_convolutional_layer(batch*steps, h, w, hidden_filters, output_filters, 3, 1, 1,  activation, batch_normalize, 0, 0, 0);
     l.output_layer->batch = batch;
 
     l.output = l.output_layer->output;
     l.delta = l.output_layer->delta;
 
+    l.forward = forward_crnn_layer;
+    l.backward = backward_crnn_layer;
+    l.update = update_crnn_layer;
+
 #ifdef GPU
+    l.forward_gpu = forward_crnn_layer_gpu;
+    l.backward_gpu = backward_crnn_layer_gpu;
+    l.update_gpu = update_crnn_layer_gpu;
+
     l.state_gpu = cuda_make_array(l.state, l.hidden*batch*(steps+1));
     l.output_gpu = l.output_layer->output_gpu;
     l.delta_gpu = l.output_layer->delta_gpu;

--
Gitblit v1.10.0