From: Ross Girshick <rbg@eecs.berkeley.edu>
Date: Fri, 20 Dec 2013 22:39:22 +0000 (-0800)
Subject: demo on how to get net weights using the matlab interface
X-Git-Tag: submit/tizen/20180823.020014~722
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=ba10066aff51f935f50ddba904ea34046433a79d;p=platform%2Fupstream%2Fcaffeonacl.git

demo on how to get net weights using the matlab interface
---

diff --git a/matlab/caffe/matcaffe_demo_weights.m b/matlab/caffe/matcaffe_demo_weights.m
new file mode 100644
index 0000000..aae1559
--- /dev/null
+++ b/matlab/caffe/matcaffe_demo_weights.m
@@ -0,0 +1,35 @@
+function layers = matcaffe_demo_weights(use_gpu)
+% layers = matcaffe_demo_weights(use_gpu)
+% 
+% Demo of how to extract network parameters ("weights") using the matlab
+% wrapper.
+%
+% input
+%   use_gpu  1 to use the GPU, 0 to use the CPU
+%
+% output
+%   layers   struct array of layers and their weights
+%
+% You may need to do the following before you start matlab:
+%  $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda/lib64
+%  $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6
+% Or the equivalent based on where things are installed on your system
+
+% init caffe network (spews logging info)
+if caffe('is_initialized') == 0
+  model_def_file = '../../examples/imagenet_deploy.prototxt';
+  model_file = '../../examples/alexnet_train_iter_470000';
+  caffe('init', model_def_file, model_file);
+end
+
+% set to use GPU or CPU
+if exist('use_gpu', 'var') && use_gpu
+  caffe('set_mode_gpu');
+else
+  caffe('set_mode_cpu');
+end
+
+% put into test mode
+caffe('set_phase_test');
+
+layers = caffe('get_weights');