def __init__(self, n_units, n_out):
    super(MLP, self).__init__()
    with self.init_scope():
        self.l1 = L.Linear(None, n_units)
        self.l2 = L.Linear(None, n_units)
        self.l3 = L.Linear(None, n_units)
        self.l4 = L.Linear(None, n_units)
        self.l5 = L.Linear(None, n_out)
    np.random.seed(100)
def __init__(self, n_units, n_out):
    super(MLP, self).__init__()
    with self.init_scope():
        self.l1 = L.Linear(None, n_units)
        self.l2 = L.Linear(None, n_units)
        self.l3 = L.Linear(None, n_units)
        self.l4 = L.Linear(None, n_units)
        self.l5 = L.Linear(None, n_out)
    np.random.seed(100)