'Load stats for normalizing the data.'

def SetDataStats(self, i, stats_file):

    assert os.path.exists(stats_file), ('Stats    file    %s    not    found.' % stats_file)
    stats = np.load(stats_file)
    self.normalize[i] = True
    self.means[i] = cm.CUDAMatrix(stats['mean'].reshape((-1), 1))
    self.stds[i] = cm.CUDAMatrix((1e-10 + stats['std'].reshape((-1), 1)))
