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Added the symmetric flag to SelfSupervisedLoss. If True, then the embeddings in both embeddings and ref_emb are used as anchors. If False, then only the embeddings in embeddings are used as anchors. The previous behavior was equivalent to symmetric=False. Now the default is symmetric=True, because this is usually what is done in self supervised papers (e.g. SimCLR).