From 13209df7bb53de19aa3f82e870db11eb5b7587f1 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 13 May 2016 18:59:43 +0000
Subject: [PATCH] art, cudnn

---
 src/convolutional_layer.h |    8 +++++---
 1 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/src/convolutional_layer.h b/src/convolutional_layer.h
index 436ed7e..3d52b22 100644
--- a/src/convolutional_layer.h
+++ b/src/convolutional_layer.h
@@ -2,7 +2,6 @@
 #define CONVOLUTIONAL_LAYER_H
 
 #include "cuda.h"
-#include "params.h"
 #include "image.h"
 #include "activations.h"
 #include "layer.h"
@@ -22,16 +21,19 @@
 void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size);
 #endif
 
-convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, int batch_normalization);
+convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, int batch_normalization, int binary, int xnor);
 void denormalize_convolutional_layer(convolutional_layer l);
 void resize_convolutional_layer(convolutional_layer *layer, int w, int h);
 void forward_convolutional_layer(const convolutional_layer layer, network_state state);
 void update_convolutional_layer(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay);
 image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_filters);
+void binarize_filters(float *filters, int n, int size, float *binary);
+void swap_binary(convolutional_layer *l);
+void binarize_filters2(float *filters, int n, int size, char *binary, float *scales);
 
 void backward_convolutional_layer(convolutional_layer layer, network_state state);
 
-void bias_output(float *output, float *biases, int batch, int n, int size);
+void add_bias(float *output, float *biases, int batch, int n, int size);
 void backward_bias(float *bias_updates, float *delta, int batch, int n, int size);
 
 image get_convolutional_image(convolutional_layer layer);

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