From 033e934ce82826c73d851098baf7ce4b1a27c89a Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 21 Feb 2018 16:14:01 +0000
Subject: [PATCH] If there is excessive GPU-RAM consumption by CUDNN then then do not use Workspace

---
 src/convolutional_layer.h |    4 ++--
 1 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/convolutional_layer.h b/src/convolutional_layer.h
index b7953ee..da98dce 100644
--- a/src/convolutional_layer.h
+++ b/src/convolutional_layer.h
@@ -20,11 +20,11 @@
 void add_bias_gpu(float *output, float *biases, int batch, int n, int size);
 void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size);
 #ifdef CUDNN
-void cudnn_convolutional_setup(layer *l);
+void cudnn_convolutional_setup(layer *l, int cudnn_preference);
 #endif
 #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, int binary, int xnor);
+convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam);
 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);

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