def test_forward_propagate(self):
sys.stdout.write('FNN_model -> Performing forward_propagate test ...')
sys.stdout.flush()
numx.random.seed(42)
l1 = FullConnLayer(2*2,3*3)
l2 = FullConnLayer(3*3,2*2)
l3 = FullConnLayer(2*2,1*1)
model = Model([l1,l2,l3])
target = numx.array([[-0.45978757]])
assert numx.all(numx.abs(target - model.forward_propagate(numx.array([0.1,3.0,5.0,9.0]))) < self.epsilon)
assert numx.all(numx.abs(target - model.forward_propagate(numx.array([[0.1,3.0,5.0,9.0]]))) < self.epsilon)
print('successfully passed!')
sys.stdout.flush()
def test_pop_layer(self):
sys.stdout.write('FNN_model -> Performing pop_layer test ... ')
sys.stdout.flush()
numx.random.seed(42)
l1 = FullConnLayer(2 * 2, 3 * 3)
l2 = FullConnLayer(3 * 3, 2 * 2)
l3 = FullConnLayer(2 * 2, 1 * 1)
model = Model([l1, l2, l3])
model.pop_layer()
assert numx.all(model.layers[0] == l1)
assert numx.all(model.layers[1] == l2)
assert numx.all(model.num_layers == 2 == len(model.layers))
print('successfully passed!')
sys.stdout.flush()
def test_consistency_check(self):
sys.stdout.write('FNN_model -> Performing consistency_check test ... ')
sys.stdout.flush()
l1 = FullConnLayer(2 * 2, 3 * 3)
l2 = FullConnLayer(3 * 3, 2 * 2)
l3 = FullConnLayer(2 * 2, 1 * 1)
model = Model([l1, l2, l3])
passed = True
try:
model.consistency_check()
except:
passed = False
assert passed
print('successfully passed!')
sys.stdout.flush()