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/connected_layer.c | 13 ++++++++-----
1 files changed, 8 insertions(+), 5 deletions(-)
diff --git a/src/connected_layer.c b/src/connected_layer.c
index 368fb63..95db5d5 100644
--- a/src/connected_layer.c
+++ b/src/connected_layer.c
@@ -25,22 +25,25 @@
layer->delta = calloc(batch*outputs, sizeof(float*));
layer->weight_updates = calloc(inputs*outputs, sizeof(float));
- layer->weight_adapt = calloc(inputs*outputs, sizeof(float));
+ //layer->weight_adapt = calloc(inputs*outputs, sizeof(float));
layer->weight_momentum = calloc(inputs*outputs, sizeof(float));
layer->weights = calloc(inputs*outputs, sizeof(float));
float scale = 1./inputs;
- //scale = .01;
+ scale = .05;
for(i = 0; i < inputs*outputs; ++i)
- layer->weights[i] = scale*(rand_uniform()-.5);
+ layer->weights[i] = scale*2*(rand_uniform()-.5);
layer->bias_updates = calloc(outputs, sizeof(float));
- layer->bias_adapt = calloc(outputs, sizeof(float));
+ //layer->bias_adapt = calloc(outputs, sizeof(float));
layer->bias_momentum = calloc(outputs, sizeof(float));
layer->biases = calloc(outputs, sizeof(float));
- for(i = 0; i < outputs; ++i)
+ for(i = 0; i < outputs; ++i){
//layer->biases[i] = rand_normal()*scale + scale;
layer->biases[i] = 1;
+ }
+ #ifdef GPU
+ #endif
layer->activation = activation;
return layer;
}
--
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