From 787d5345609459f21fd65d2d8b4fcd55201e21a1 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 13 Oct 2014 07:31:10 +0000
Subject: [PATCH] Convolutional working on GPU
---
src/network.h | 19 ++++++++++++++++---
1 files changed, 16 insertions(+), 3 deletions(-)
diff --git a/src/network.h b/src/network.h
index a9a6797..37c145d 100644
--- a/src/network.h
+++ b/src/network.h
@@ -12,7 +12,10 @@
MAXPOOL,
SOFTMAX,
NORMALIZATION,
- DROPOUT
+ DROPOUT,
+ FREEWEIGHT,
+ CROP,
+ COST
} LAYER_TYPE;
typedef struct {
@@ -32,15 +35,24 @@
#endif
} network;
+#ifdef GPU
+void forward_network_gpu(network net, cl_mem input, cl_mem truth, int train);
+void backward_network_gpu(network net, cl_mem input);
+void update_network_gpu(network net);
+cl_mem get_network_output_cl_layer(network net, int i);
+cl_mem get_network_delta_cl_layer(network net, int i);
+#endif
+
network make_network(int n, int batch);
-void forward_network(network net, float *input, int train);
-float backward_network(network net, float *input, float *truth);
+void forward_network(network net, float *input, float *truth, int train);
+void backward_network(network net, float *input);
void update_network(network net);
float train_network_sgd(network net, data d, int n);
float train_network_batch(network net, data d, int n);
void train_network(network net, data d);
matrix network_predict_data(network net, data test);
float network_accuracy(network net, data d);
+float network_accuracy_multi(network net, data d, int n);
float *get_network_output(network net);
float *get_network_output_layer(network net, int i);
float *get_network_delta_layer(network net, int i);
@@ -54,6 +66,7 @@
void visualize_network(network net);
int resize_network(network net, int h, int w, int c);
int get_network_input_size(network net);
+float get_network_cost(network net);
#endif
--
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