def runTest(self):
nn = MLP(*self.args)
for layer in nn.layers:
layer.b = util.uniform(layer.b.shape, 0.5)
X_train = self.X_train
y_train = self.y_train
loss_before = nn.loss(X_train, y_train)
nn.dump('test.npz')
nn = MLP(*self.args)
nn.load('test.npz')
loss_after = nn.loss(X_train, y_train)
np.testing.assert_almost_equal(loss_after, loss_before)
print loss_before, loss_after
