def grad(self, inputs, gzlist):
        """
        .. todo::

            WRITEME
        """
        if 1 > len(gzlist):
            raise NotImplementedError()
        g_input0 = self.transpose(gzlist[0], *inputs[1:])
        return [g_input0] + self.grads_1_to_n(inputs, gzlist)
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/packaged_dependencies/theano_linear/linearmixin.py/LinearMixin.grad/swapped operands of `>`