def expr(self, model, data, *args, **kwargs):
        self.get_data_specs(model)[0].validate(data)
        X = data
        return self.cost(X, model.reconstruct(X))
The cost of reconstructing `data` using `model`.
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/costs/autoencoder.py/GSNFriendlyCost.expr