def test_parameter(self):
net_file = parameter_net_file()
net = caffe_double.Net(net_file, caffe.TRAIN)
# Test forward and backward
net.forward()
net.backward()
layer = net.layers[list(net._layer_names).index('layer')]
self.assertEqual(layer.blobs[0].data[0], 0)
self.assertEqual(layer.blobs[0].diff[0], 1)
layer.blobs[0].data[0] += layer.blobs[0].diff[0]
self.assertEqual(layer.blobs[0].data[0], 1)
# Test saving and loading
h, caffemodel_file = tempfile.mkstemp()
net.save(caffemodel_file)
layer.blobs[0].data[0] = -1
self.assertEqual(layer.blobs[0].data[0], -1)
net.copy_from(caffemodel_file)
self.assertEqual(layer.blobs[0].data[0], 1)
os.remove(caffemodel_file)
# Test weight sharing
net2 = caffe_double.Net(net_file, caffe.TRAIN)
net2.share_with(net)
layer = net.layers[list(net2._layer_names).index('layer')]
self.assertEqual(layer.blobs[0].data[0], 1)
os.remove(net_file)
def test_save_and_read(self):
f = tempfile.NamedTemporaryFile(mode='w+', delete=False)
f.close()
self.net.save(f.name)
net_file = simple_net_file(self.num_output)
# Test legacy constructor
# should print deprecation warning
caffe_double.Net(net_file, f.name, caffe.TRAIN)
# Test named constructor
net2 = caffe_double.Net(net_file, caffe.TRAIN, weights=f.name)
os.remove(net_file)
os.remove(f.name)
for name in self.net.params:
for i in range(len(self.net.params[name])):
self.assertEqual(
abs(self.net.params[name][i].data -
net2.params[name][i].data).sum(), 0)
def setUp(self):
self.num_output = 13
net_file = simple_net_file(self.num_output)
self.net = caffe_double.Net(net_file, caffe.TRAIN)
# fill in valid labels
self.net.blobs['label'].data[...] = \
np.random.randint(self.num_output,
size=self.net.blobs['label'].data.shape)
os.remove(net_file)
def test_save_hdf5(self):
f = tempfile.NamedTemporaryFile(mode='w+', delete=False)
f.close()
self.net.save_hdf5(f.name)
net_file = simple_net_file(self.num_output)
net2 = caffe_double.Net(net_file, caffe.TRAIN)
net2.load_hdf5(f.name)
os.remove(net_file)
os.remove(f.name)
for name in self.net.params:
for i in range(len(self.net.params[name])):
self.assertEqual(
abs(self.net.params[name][i].data -
net2.params[name][i].data).sum(), 0)
def test_phase(self):
net_file = phase_net_file()
for phase in caffe_double.TRAIN, caffe.TEST:
net = caffe_double.Net(net_file, phase)
self.assertEqual(net.forward()['phase'], phase)
def setUp(self):
net_file = python_net_file()
self.net = caffe_double.Net(net_file, caffe.TRAIN)
os.remove(net_file)
def load_net(self, net_proto):
f = tempfile.NamedTemporaryFile(mode='w+', delete=False)
f.write(str(net_proto))
f.close()
return caffe_double.Net(f.name, caffe.TEST)
def test_deploy(self):
net = caffe_double.Net(self.f.name, caffe.TEST, stages=['deploy'])
self.check_net(net, ['pred'])
def test_val(self):
net = caffe_double.Net(self.f.name, caffe.TEST, stages=['val'])
self.check_net(net, ['loss'])
def test_train(self):
net = caffe_double.Net(self.f.name, caffe.TRAIN, stages=['train'])
self.check_net(net, ['loss'])
def test_AandB(self):
net = caffe_double.Net(self.f.name, caffe.TEST, stages=['A', 'B'])
self.check_net(net, ['A', 'B', 'AorB', 'AandB'])
def test_1(self):
net = caffe_double.Net(self.f.name, caffe.TEST, level=1)
self.check_net(net, ['NoLevel', 'Level1Only', 'Level>=0', 'Level>=1'])
def test_0(self):
net = caffe_double.Net(self.f.name, caffe.TEST)
self.check_net(net, ['NoLevel', 'Level0Only', 'Level>=0'])
