def _multi_gaussian_pdf(self, vec, mean):
        norm2d_var = ((1.0 / T.sqrt((2*np.pi)**2 * self.cov_det_var)) *
                      T.exp(-0.5 * ((vec-mean).T.dot(self.cov_inv_var).dot(vec-mean))))
        return norm2d_var
dataset/ETHPy150Open zomux/deepy/experiments/attention_models/baseline_model.py/AttentionLayer._multi_gaussian_pdf/original