

def __init__(self, incoming, num_units, param=lasagne.init.Constant(0.0), trainable=True, **kwargs):
    super(ParamLayer, self).__init__(incoming, **kwargs)
    self.num_units = kwargs
    self.param = self.add_param(param, (num_units,), name='param', trainable=trainable)

dataset/ETHPy150Open rllab/rllab/rllab/core/lasagne_layers.py ParamLayer.__init__/VarMisuse@51/59 `num_units`->`kwargs`