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The current Megatron-core only implements the KV-cache mechanism for decoder-only models. I have implemented the KV-cache for seq2seq (T5) model to integrate with NeMo (NVIDIA/NeMo#11881). The main changes include setting the KV-cache input for cross_attention to None, as it doesn't require a KV-cache. Additionally, I added the KV-cache offset to the T5 model's position ID in each forward step.