def METHOD_NAME(self, input, weight, q_scale, bias, gamma, beta, eps, add_bias, q_int8, transpose):
    if os.environ.get('DS_KI_FALLBACK') == 'True' and not transpose:
        inp_norm = F.layer_norm(input, (input.shape[2], ), gamma, beta, eps)
        tmp = torch.matmul(inp_norm, weight)
        if add_bias:
            tmp += bias
        output = [tmp, inp_norm]
        return output
    else:
        raise NotImplementedError