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Merge pull request #1473 from longjon/pytest
Python testing
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import unittest | ||
import tempfile | ||
import os | ||
import numpy as np | ||
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import caffe | ||
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def simple_net_file(num_output): | ||
"""Make a simple net prototxt, based on test_net.cpp, returning the name | ||
of the (temporary) file.""" | ||
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f = tempfile.NamedTemporaryFile(delete=False) | ||
f.write("""name: 'testnet' force_backward: true | ||
layers { type: DUMMY_DATA name: 'data' top: 'data' top: 'label' | ||
dummy_data_param { num: 5 channels: 2 height: 3 width: 4 | ||
num: 5 channels: 1 height: 1 width: 1 | ||
data_filler { type: 'gaussian' std: 1 } | ||
data_filler { type: 'constant' } } } | ||
layers { type: CONVOLUTION name: 'conv' bottom: 'data' top: 'conv' | ||
convolution_param { num_output: 11 kernel_size: 2 pad: 3 | ||
weight_filler { type: 'gaussian' std: 1 } | ||
bias_filler { type: 'constant' value: 2 } } | ||
weight_decay: 1 weight_decay: 0 } | ||
layers { type: INNER_PRODUCT name: 'ip' bottom: 'conv' top: 'ip' | ||
inner_product_param { num_output: """ + str(num_output) + """ | ||
weight_filler { type: 'gaussian' std: 2.5 } | ||
bias_filler { type: 'constant' value: -3 } } } | ||
layers { type: SOFTMAX_LOSS name: 'loss' bottom: 'ip' bottom: 'label' | ||
top: 'loss' }""") | ||
f.close() | ||
return f.name | ||
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class TestNet(unittest.TestCase): | ||
def setUp(self): | ||
self.num_output = 13 | ||
net_file = simple_net_file(self.num_output) | ||
self.net = caffe.Net(net_file) | ||
# 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) | ||
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def test_memory(self): | ||
"""Check that holding onto blob data beyond the life of a Net is OK""" | ||
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params = sum(map(list, self.net.params.itervalues()), []) | ||
blobs = self.net.blobs.values() | ||
del self.net | ||
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# now sum everything (forcing all memory to be read) | ||
total = 0 | ||
for p in params: | ||
total += p.data.sum() + p.diff.sum() | ||
for bl in blobs: | ||
total += bl.data.sum() + bl.diff.sum() | ||
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def test_forward_backward(self): | ||
self.net.forward() | ||
self.net.backward() | ||
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def test_inputs_outputs(self): | ||
self.assertEqual(self.net.inputs, []) | ||
self.assertEqual(self.net.outputs, ['loss']) | ||
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def test_save_and_read(self): | ||
f = tempfile.NamedTemporaryFile(delete=False) | ||
f.close() | ||
self.net.save(f.name) | ||
net_file = simple_net_file(self.num_output) | ||
net2 = caffe.Net(net_file, 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) |
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import unittest | ||
import tempfile | ||
import os | ||
import numpy as np | ||
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import caffe | ||
from test_net import simple_net_file | ||
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class TestSolver(unittest.TestCase): | ||
def setUp(self): | ||
self.num_output = 13 | ||
net_f = simple_net_file(self.num_output) | ||
f = tempfile.NamedTemporaryFile(delete=False) | ||
f.write("""net: '""" + net_f + """' | ||
test_iter: 10 test_interval: 10 base_lr: 0.01 momentum: 0.9 | ||
weight_decay: 0.0005 lr_policy: 'inv' gamma: 0.0001 power: 0.75 | ||
display: 100 max_iter: 100 snapshot_after_train: false""") | ||
f.close() | ||
self.solver = caffe.SGDSolver(f.name) | ||
self.solver.net.set_mode_cpu() | ||
# fill in valid labels | ||
self.solver.net.blobs['label'].data[...] = \ | ||
np.random.randint(self.num_output, | ||
size=self.solver.net.blobs['label'].data.shape) | ||
self.solver.test_nets[0].blobs['label'].data[...] = \ | ||
np.random.randint(self.num_output, | ||
size=self.solver.test_nets[0].blobs['label'].data.shape) | ||
os.remove(f.name) | ||
os.remove(net_f) | ||
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def test_solve(self): | ||
self.assertEqual(self.solver.iter, 0) | ||
self.solver.solve() | ||
self.assertEqual(self.solver.iter, 100) | ||
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def test_net_memory(self): | ||
"""Check that nets survive after the solver is destroyed.""" | ||
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nets = [self.solver.net] + list(self.solver.test_nets) | ||
self.assertEqual(len(nets), 2) | ||
del self.solver | ||
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total = 0 | ||
for net in nets: | ||
for ps in net.params.itervalues(): | ||
for p in ps: | ||
total += p.data.sum() + p.diff.sum() | ||
for bl in net.blobs.itervalues(): | ||
total += bl.data.sum() + bl.diff.sum() |
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Original file line number | Diff line number | Diff line change |
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@@ -26,6 +26,7 @@ else | |
$MAKE all | ||
$MAKE test | ||
$MAKE pycaffe | ||
$MAKE pytest | ||
$MAKE warn | ||
if ! $WITH_CUDA; then | ||
$MAKE lint | ||
|
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