def METHOD_NAME(self, source, get_encoded=False, norm_output=False):
    cpc_feature, encoded, _ = self.forward(source, None)
    if get_encoded:
        cpc_feature = encoded
    if norm_output:
        mean = cpc_feature.mean(dim=1, keepdim=True)
        var = cpc_feature.var(dim=1, keepdim=True)
        cpc_feature = (cpc_feature - mean) / torch.sqrt(var + 1e-08)
    return cpc_feature