def test_load_network_2_4_4_2(db_session):
network_attributes = db_load_network(db_session, '2_4_4_2')
perceptron = MLMCPerceptron(**network_attributes)
assert_perceptron_equal(
perceptron,
{
'alpha': 0.5,
'momentum': 0.7,
'out_sigmoided': False,
'weights': [
numpy.array([
[100.1, -100.2, 100.3],
[100.4, -100.5, 100.6],
[100.7, -100.8, 100.9],
[101.0, -101.1, 101.2],
]),
numpy.array([
[-200.0, 200.1, -200.2, 200.3, -200.4],
[-200.5, 200.6, -200.7, 200.8, -200.9],
[-201.0, 201.1, -201.2, 201.3, -201.4],
[-201.5, 201.6, -201.7, 201.8, -201.9],
]),
numpy.array([
[300.0, -300.1, 300.2, -300.3, 300.4],
[300.5, -300.6, 300.7, -300.8, 300.9],
]),
],
}
)
def load_from_db(self, db_session):
try:
network_attributes = db_load_network(db_session, self.db_name)
self.perceptron = MLMCPerceptron(**network_attributes)
except NoResultFound:
message_fmt = 'Network {name!r} not found in db. Creating new...'
print message_fmt.format(name=self.db_name),
assert self.SIZES_NAME_RE.match(self.db_name)
sizes = [int(size) for size in self.db_name.split('_')]
self.perceptron = MLMCPerceptron(
sizes,
alpha=0.01,
exploration_probability=0.5,
)
name = self.db_name
network = db_save_network(db_session, self.perceptron, name)
db_session.commit()
print 'created'
def test_update_network_2_2(db_session):
network_name = '2_2'
old_network_attributes = {
'alpha': 0.1,
'momentum': 0.8,
'out_sigmoided': True,
'weights': [
numpy.array([
[50.1, -50.2, 50.3],
[50.4, -50.5, 50.6],
]),
]
}
perceptron = MLMCPerceptron(**old_network_attributes)
db_save_network(db_session, perceptron, network_name)
network = db_session.query(Network).filter_by(name=network_name).one()
assert_network_equal(network, old_network_attributes)
new_network_attributes = {
'alpha': 0.3,
'momentum': 0.1,
'out_sigmoided': False,
'weights': [
numpy.array([
[500.1, -500.2, 500.3],
[500.4, -500.5, 500.6],
]),
],
}
perceptron = MLMCPerceptron(**new_network_attributes)
db_update_network(db_session, perceptron, network_name)
after_update_attributes = db_load_network(db_session, network_name)
perceptron = MLMCPerceptron(**after_update_attributes)
assert_perceptron_equal(perceptron, new_network_attributes)
def test_load_network_2_3_4(db_session):
network_attributes = db_load_network(db_session, '2_3_4')
perceptron = MLMCPerceptron(**network_attributes)
assert_perceptron_equal(
perceptron,
{
'alpha': 0.1,
'momentum': 0.8,
'out_sigmoided': True,
'weights': [
numpy.array([
[0.1, 0.2, 0.3],
[0.4, 0.5, 0.6],
[0.7, 0.8, 0.9],
]),
numpy.array([
[ 0.0, -0.1, -0.2, -0.3],
[-0.4, -0.5, -0.6, -0.7],
[-0.8, -0.9, -1.0, -1.1],
[-1.2, -1.3, -1.4, -1.5],
]),
],
}
)