def setUp(self):
self.acts = np.array([[0, 1., 2.]])
self.concepts = ['c1', 'c2']
self.target = 't1'
self.class_id = 0
self.bottleneck = 'bn'
self.cav_dir = None
self.hparams = tf.contrib.training.HParams(model_type='linear', alpha=.01)
self.cav = CAV(self.concepts,
self.bottleneck,
self.hparams)
self.cav.cavs = [[1., 2., 3.,]]
self.activation_generator = None
self.mymodel = TcavTest_model()
self.act_gen = TcavTest_ActGen(self.mymodel)
self.random_counterpart = 'random500_1'
self.mytcav = TCAV(None,
self.target,
self.concepts,
[self.bottleneck],
self.act_gen,
[self.hparams.alpha])
self.mytcav_random_counterpart = TCAV(None,
self.target,
self.concepts,
[self.bottleneck],
self.act_gen,
[self.hparams.alpha],
self.random_counterpart)
def test_get_directional_dir(self):
directional_dirs = TCAV.get_directional_dir(self.mymodel,
self.target,
self.concepts[0],
self.cav,
self.acts)
self.assertAlmostEqual(8., directional_dirs[0])
def test_compute_tcav_score(self):
score = TCAV.compute_tcav_score(self.mymodel,
self.target,
self.concepts[0],
self.cav,
self.acts,
run_parallel=False)
self.assertAlmostEqual(0., score)
def test_get_direction_dir_sign(self):
self.assertFalse(TCAV.get_direction_dir_sign(self.mymodel,
self.acts,
self.cav,
self.concepts[0],
self.class_id))
class TcavTest(googletest.TestCase):
def setUp(self):
self.acts = np.array([[0, 1., 2.]])
self.concepts = ['c1', 'c2']
self.target = 't1'
self.class_id = 0
self.bottleneck = 'bn'
self.cav_dir = None
self.hparams = tf.contrib.training.HParams(model_type='linear', alpha=.01)
self.cav = CAV(self.concepts,
self.bottleneck,
self.hparams)
self.cav.cavs = [[1., 2., 3.,]]
self.activation_generator = None
self.mymodel = TcavTest_model()
self.act_gen = TcavTest_ActGen(self.mymodel)
self.random_counterpart = 'random500_1'
self.mytcav = TCAV(None,
self.target,
self.concepts,
[self.bottleneck],
self.act_gen,
[self.hparams.alpha])
self.mytcav_random_counterpart = TCAV(None,
self.target,
self.concepts,
[self.bottleneck],
self.act_gen,
[self.hparams.alpha],
self.random_counterpart)
def test_get_direction_dir_sign(self):
self.assertFalse(TCAV.get_direction_dir_sign(self.mymodel,
self.acts,
self.cav,
self.concepts[0],
self.class_id))
def test_compute_tcav_score(self):
score = TCAV.compute_tcav_score(self.mymodel,
self.target,
self.concepts[0],
self.cav,
self.acts,
run_parallel=False)
self.assertAlmostEqual(0., score)
def test_get_directional_dir(self):
directional_dirs = TCAV.get_directional_dir(self.mymodel,
self.target,
self.concepts[0],
self.cav,
self.acts)
self.assertAlmostEqual(8., directional_dirs[0])
def test__run_single_set(self):
"""TODO(beenkim) not sure how to test this yet.
"""
pass
def test__process_what_to_run_expand(self):
# _process_what_to_run_expand stores results to all_concepts,
# and pairs_to_test.
self.mytcav._process_what_to_run_expand(
num_random_exp=2)
self.assertEqual(sorted(self.mytcav.all_concepts),
sorted(['t1',
'c1',
'c2',
'random500_0',
'random500_1'])
)
self.assertEqual(sorted(self.mytcav.pairs_to_test),
sorted([('t1',['c1', 'random500_0']),
('t1',['c1', 'random500_1']),
('t1',['c2', 'random500_0']),
('t1',['c2', 'random500_1']),
('t1',['random500_0', 'random500_1']),
('t1',['random500_1', 'random500_0'])
]))
def test__process_what_to_run_expand_random_counterpart(self):
# _process_what_to_run_expand stores results to all_concepts,
# and pairs_to_test.
# test when random_counterpart is supplied
self.mytcav_random_counterpart._process_what_to_run_expand(
num_random_exp=2)
self.assertEqual(sorted(self.mytcav_random_counterpart.all_concepts),
sorted(['t1',
'c1',
'c2',
'random500_0',
'random500_1',
'random500_2'])
)
self.assertEqual(sorted(self.mytcav_random_counterpart.pairs_to_test),
sorted([('t1',['c1', 'random500_0']),
('t1',['c1', 'random500_2']),
('t1',['c2', 'random500_0']),
('t1',['c2', 'random500_2']),
('t1',['random500_1', 'random500_0']),
('t1',['random500_1', 'random500_2'])
]))
def test__process_what_to_run_expand_specify_dirs(self):
# _process_what_to_run_expand stores results to all_concepts,
# and pairs_to_test.
self.mytcav._process_what_to_run_expand(
num_random_exp=2, random_concepts=['random_dir1', 'random_dir2'])
self.assertEqual(sorted(self.mytcav.all_concepts),
sorted(['t1',
'c1',
'c2',
'random_dir1',
'random_dir2'])
)
self.assertEqual(sorted(self.mytcav.pairs_to_test),
sorted([('t1',['c1', 'random_dir1']),
('t1',['c1', 'random_dir2']),
('t1',['c2', 'random_dir1']),
('t1',['c2', 'random_dir2']),
('t1',['random_dir1', 'random_dir2']),
('t1',['random_dir2', 'random_dir1'])
]))
def test__process_what_to_run_expand_specify_dirs_random_concepts(self):
# _process_what_to_run_expand stores results to all_concepts,
# and pairs_to_test.
# test when random_counterpart is supplied
self.mytcav_random_counterpart._process_what_to_run_expand(
num_random_exp=2, random_concepts=['random_dir1', 'random_dir2'])
self.assertEqual(sorted(self.mytcav_random_counterpart.all_concepts),
sorted(['t1',
'c1',
'c2',
'random500_1',
'random_dir1',
'random_dir2'])
)
self.assertEqual(sorted(self.mytcav_random_counterpart.pairs_to_test),
sorted([('t1',['c1', 'random_dir1']),
('t1',['c1', 'random_dir2']),
('t1',['c2', 'random_dir1']),
('t1',['c2', 'random_dir2']),
('t1',['random500_1', 'random_dir1']),
('t1',['random500_1', 'random_dir2'])
]))
def test_get_params(self):
"""Check if the first param was correct.
"""
params = self.mytcav.get_params()
self.assertEqual(params[0].bottleneck, 'bn')
self.assertEqual(params[0].concepts, ['c1', 'random500_0'])
self.assertEqual(params[0].target_class, 't1')
self.assertEqual(params[0].activation_generator, self.act_gen)
self.assertEqual(params[0].cav_dir, self.cav_dir)
self.assertEqual(params[0].alpha, self.hparams.alpha)
self.assertEqual(params[0].model, self.mymodel)