[caffe] 01/01: d/tests: add python package testsuite
Zhou Mo
cdluminate-guest at moszumanska.debian.org
Fri Jun 3 10:44:43 UTC 2016
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cdluminate-guest pushed a commit to branch master
in repository caffe.
commit d320ce35258ce67d8efa2dec5a225fce757e5cc5
Author: Zhou Mo <cdluminate at gmail.com>
Date: Fri Jun 3 10:44:25 2016 +0000
d/tests: add python package testsuite
---
debian/tests/control | 2 ++
debian/tests/python-caffe-test.py | 43 ++++++++++++++++++++++++++++++++++++
debian/tests/python3_caffe_testsuite | 2 ++
3 files changed, 47 insertions(+)
diff --git a/debian/tests/control b/debian/tests/control
index 938774c..e888e38 100644
--- a/debian/tests/control
+++ b/debian/tests/control
@@ -1 +1,3 @@
Tests: simple
+
+Tests: python3_caffe_testsuite
diff --git a/debian/tests/python-caffe-test.py b/debian/tests/python-caffe-test.py
new file mode 100644
index 0000000..df2c883
--- /dev/null
+++ b/debian/tests/python-caffe-test.py
@@ -0,0 +1,43 @@
+#!/usr/bin/env python
+'''
+Caffe Python Module Testsuite for Debian Package
+Copyright (C) 2016 Zhou Mo
+
+Reference:
+http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/01-learning-lenet.ipynb
+http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/net_surgery.ipynb
+'''
+
+import numpy
+import caffe
+
+def test_lenet_benchmark():
+ # load lenet deploy network
+ model_definition = "examples/mnist/lenet.prototxt"
+ caffe.set_mode_cpu()
+ model = caffe.Net(model_definition, caffe.TEST)
+ # populate random data and copy it to network
+ batch = numpy.random.randn(64, 1, 28, 28)
+ model.blobs['data'].reshape(64, 1, 28, 28)
+ model.blobs['data'].data[...] = batch
+ # randomly fill parameter into network
+ model.params['conv1'][0].data.shape # access test, this should be (20, 1, 5, 5)
+ model.params['conv1'][0].flat = numpy.random.randn(20, 1, 5, 5).flat
+ model.params['conv1'][1].flat = numpy.random.randn(20,).flat
+ model.params['conv2'][0].flat = numpy.random.randn(50, 20, 5, 5).flat
+ model.params['conv2'][1].flat = numpy.random.randn(50,).flat
+ model.params['ip1'][0].flat = numpy.random.randn(500, 800).flat
+ model.params['ip1'][1].flat = numpy.random.randn(500,).flat
+ model.params['ip2'][0].flat = numpy.random.randn(10, 500).flat
+ model.params['ip2'][1].flat = numpy.random.randn(10,).flat
+ # forward this network, here we don't care neither the network parameters nor the result.
+ output = model.forward()
+ output_prob = output['prob'][0] # prob vector for the first image in batch
+ prediction = output_prob.argmax()
+ print ('This mindless benchmark ends up with an arbitary output {}'.format(prediction))
+
+def main():
+ test_lenet_benchmark()
+
+if __name__ == "__main__":
+ main()
diff --git a/debian/tests/python3_caffe_testsuite b/debian/tests/python3_caffe_testsuite
new file mode 100755
index 0000000..35a1865
--- /dev/null
+++ b/debian/tests/python3_caffe_testsuite
@@ -0,0 +1,2 @@
+#!/bin/sh
+python3 python-caffe-test.py
--
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