def testParseHParms(self):
hp_from = hparams.PerFeatureHParams(['x0', 'x1'], num_keypoints=5)
hp_to = hparams.PerFeatureHParams(['x0', 'x1'], num_keypoints=2)
hp_to.set_feature_param('x0', 'num_keypoints', 3)
hp_to.parse_hparams(hp_from)
self.assertEqual(hp_to.get_feature_param('x0', 'num_keypoints'), 3)
self.assertEqual(hp_to.get_feature_param('x1', 'num_keypoints'), 5)
hp_to.parse_hparams(None)
def testPerFeatureHParams(self):
default_num_keypoints = 10
feature_x0_num_keypoints = 5
hp = hparams.PerFeatureHParams(
['x0', 'x1'],
num_keypoints=default_num_keypoints,
feature__x0__num_keypoints=feature_x0_num_keypoints)
hp.add_feature(['x2'])
self.assertEqual(hp.get_feature_names(), ['x0', 'x1', 'x2'])
# Check missing parameter: not feature specific parameter
# can be set if the generic one wasn't set first.
with self.assertRaises(ValueError):
hp.set_param('feature__x0__foobar', 10)
# Make sure returns copy of internal list.
hp.get_feature_names()[0] = 'z'
self.assertEqual(hp.get_feature_names(), ['x0', 'x1', 'x2'])
# Check values: both global and for specialized value for x0.
self.assertEqual(hp.num_keypoints, default_num_keypoints)
self.assertEqual(hp.get_feature_param('x0', 'num_keypoints'),
feature_x0_num_keypoints)
self.assertEqual(hp.get_feature_param('x1', 'num_keypoints'),
default_num_keypoints)
self.assertEqual(hp.get_feature_param('x2', 'num_keypoints'),
default_num_keypoints)
# Check missing parameter.
with self.assertRaises(AttributeError):
_ = hp.foobar
# Check that missing feature raises exception.
with self.assertRaisesRegexp(ValueError,
'Unknown feature name "x3".*'):
hp.get_feature_param('x3', 'num_keypoints')
# Check that missing parameter returns None.
self.assertEqual(hp.get_feature_param('x2', 'unknown_parameter'), None)
# Check is_feature_set_param.
self.assertEqual(hp.is_feature_set_param('x0', 'num_keypoints'), True)
self.assertEqual(hp.is_feature_set_param('x1', 'num_keypoints'), False)
# Check that object can't be created with feature specific parameters set
# for unknown feature.
with self.assertRaisesRegexp(
ValueError,
'Unknown feature "x2" for feature specific parameter '
'"feature__x2__num_keypoints"'):
# x2 doesn't exist, this should raise.
_ = hparams.PerFeatureHParams(['x0', 'x1'],
num_keypoints=default_num_keypoints,
feature__x2__num_keypoints=10)
def testParseString(self):
hp = hparams.PerFeatureHParams(
['x0', 'x1', 'x2'], num_keypoints=2, learning_rate=1.0)
hp.set_feature_param('x0', 'num_keypoints', 3)
# Test normal use case.
hp.parse('num_keypoints=5,learning_rate=0.1,feature__x2__num_keypoints=7')
self.assertEqual(hp.get_feature_param('x0', 'num_keypoints'), 3)
self.assertEqual(hp.get_feature_param('x1', 'num_keypoints'), 5)
self.assertEqual(hp.get_feature_param('x2', 'num_keypoints'), 7)
self.assertEqual(hp.learning_rate, 0.1)
# Test that parsing None and empy has no effect.
hp.parse(None)
hp.parse('')
self.assertEqual(hp.get_feature_param('x0', 'num_keypoints'), 3)
self.assertEqual(hp.get_feature_param('x1', 'num_keypoints'), 5)
self.assertEqual(hp.get_feature_param('x2', 'num_keypoints'), 7)
self.assertEqual(hp.learning_rate, 0.1)
# Test failures.
with self.assertRaises(ValueError):
hp.parse('feature__x3__num_keypoints=10') # Unknwon feature.
with self.assertRaises(ValueError):
hp.parse('foobar=10') # Unknwon parameter.
with self.assertRaises(ValueError):
hp.parse('feature__x1__foobar=10') # Unknwon parameter for feature.
with self.assertRaises(ValueError):
hp.parse('num_keypoints=1.1') # Invalid type to parse.
def testSetParamType(self):
hp = hparams.PerFeatureHParams(['x0', 'x1'], foo='abc')
hp.parse('foo=def')
self.assertEqual(hp.foo, 'def')
hp.set_param('foo', 10)
hp.set_param_type('foo', int)
with self.assertRaises(ValueError):
# Should fail, since now foo is of type int.
hp.parse('foo=def')
def testAddFeature(self):
default_num_keypoints = 10
feature_x0_num_keypoints = 5
hp = hparams.PerFeatureHParams(
[u'x0', 'x1'],
num_keypoints=default_num_keypoints,
feature__x0__num_keypoints=feature_x0_num_keypoints)
# Unicode feature name.
hp.add_feature([u'x2'])
self.assertEqual(hp.get_feature_names(), ['x0', 'x1', 'x2'])
self.assertEqual(
hp.get_feature_param('x0', 'num_keypoints'), feature_x0_num_keypoints)
self.assertEqual(
hp.get_feature_param('x1', 'num_keypoints'), default_num_keypoints)
self.assertEqual(
hp.get_feature_param('x2', 'num_keypoints'), default_num_keypoints)
# Feature name not of expected type string.
with self.assertRaises(ValueError) as value_error:
hp.add_feature([1.0])
self.assertEqual('feature_name should either be a list of strings,'
' or a string, got "[1.0]"',
str(value_error.exception))
def testGlobalPerFeatureHParams(self):
hp = hparams.PerFeatureHParams(['x0', 'x1'], num_keypoints=2)
self.assertEqual(hp.get_param('num_keypoints'), 2)
hp.set_param('num_keypoints', 3)
self.assertEqual(hp.get_param('num_keypoints'), 3)
