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/convolutional_layer.c | 33 +++++++++++++++++++++++----------
1 files changed, 23 insertions(+), 10 deletions(-)
diff --git a/src/convolutional_layer.c b/src/convolutional_layer.c
index bdbfbfd..00de153 100644
--- a/src/convolutional_layer.c
+++ b/src/convolutional_layer.c
@@ -195,13 +195,14 @@
b = layer.delta;
c = layer.col_image;
- memset(delta, 0, layer.batch*layer.h*layer.w*layer.c*sizeof(float));
-
for(i = 0; i < layer.batch; ++i){
gemm(1,0,m,n,k,1,a,m,b,n,0,c,n);
b += k*n;
c += m*n;
}
+
+ memset(delta, 0, layer.batch*layer.h*layer.w*layer.c*sizeof(float));
+
col2im_cpu(layer.col_image, layer.batch, layer.c, layer.h, layer.w, layer.size, layer.stride, layer.pad, delta);
}
}
@@ -361,7 +362,7 @@
clReleaseMemObject(c);
}
activate_array_ongpu(layer.output_cl, m*n*layer.batch, layer.activation);
- cl_read_array(layer.output_cl, layer.output, m*n*layer.batch);
+ //cl_read_array(layer.output_cl, layer.output, m*n*layer.batch);
}
void backward_convolutional_layer_gpu(convolutional_layer layer, cl_mem delta_cl)
@@ -384,9 +385,7 @@
clReleaseMemObject(a);
clReleaseMemObject(b);
}
- cl_read_array(layer.filter_updates_cl, layer.filter_updates, m*n);
- cl_read_array(layer.bias_updates_cl, layer.bias_updates, m);
-
+ //cl_read_array(layer.delta_cl, layer.delta, m*k*layer.batch);
if(delta_cl){
m = layer.size*layer.size*layer.c;
@@ -395,17 +394,31 @@
convolutional_out_width(layer);
for(i = 0; i < layer.batch; ++i){
- a = layer.filters_cl;
- b = cl_sub_array(layer.delta_cl, i*k*n, k*n);
- c = cl_sub_array(layer.col_image_cl, i*m*n, m*n);
+ cl_mem a = layer.filters_cl;
+ cl_mem b = cl_sub_array(layer.delta_cl, i*k*n, k*n);
+ cl_mem c = cl_sub_array(layer.col_image_cl, i*m*n, m*n);
gemm_ongpu(1,0,m,n,k,1,a,m,b,n,0,c,n);
clReleaseMemObject(b);
clReleaseMemObject(c);
}
- col2im_gpu(layer.col_image_cl, layer.batch, layer.c, layer.h, layer.w, layer.size, layer.stride, layer.pad, delta_cl);
+
+ scal_ongpu(layer.batch*layer.h*layer.w*layer.c,0,delta_cl, 1);
+ col2im_ongpu(layer.col_image_cl, layer.batch, layer.c, layer.h, layer.w, layer.size, layer.stride, layer.pad, delta_cl);
}
}
+void update_convolutional_layer_gpu(convolutional_layer layer)
+{
+ int size = layer.size*layer.size*layer.c*layer.n;
+ axpy_ongpu(layer.n, layer.learning_rate, layer.bias_updates_cl, 1, layer.biases_cl, 1);
+ scal_ongpu(layer.n,layer.momentum, layer.bias_updates_cl, 1);
+
+ scal_ongpu(size, 1.-layer.learning_rate*layer.decay, layer.filters_cl, 1);
+ axpy_ongpu(size, layer.learning_rate, layer.filter_updates_cl, 1, layer.filters_cl, 1);
+ scal_ongpu(size, layer.momentum, layer.filter_updates_cl, 1);
+}
+
+
#endif
--
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