Rotary Position Embedding, or RoPE, is a type of position embedding which encodes absolute positional information with rotation matrix and naturally incorporates explicit relative position dependency in self-attention formulation. Notably, RoPE comes wit
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importtorchfromrotary_embedding_torchimportRotaryEmbedding# instantiate the positional embedding in your transformer and pass to all your attention layersrotary_emb=RotaryEmbedding(dim=32,use_xpos=True# set this to True to make rotary embeddings extrapolate better to sequence lengths greater than the on...