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# ===============================
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# First, we will briefly introduce the four technologies mentioned in the introduction
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#
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- # * `torch.nested <https://pytorch.org/tutorials/prototype /nestedtensor.html>`_
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+ # * `torch.nested <https://pytorch.org/tutorials/unstable /nestedtensor.html>`_
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#
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# Nested tensors generalize the shape of regular dense tensors, allowing for
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# representation of ragged-sized data with the same tensor UX. In the context of
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# skipped, performance and memory usage improve.
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#
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# We'll demonstrate the above by building upon the ``MultiheadAttention`` layer in the
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- # `Nested Tensor tutorial <https://pytorch.org/tutorials/prototype /nestedtensor.html>`_
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+ # `Nested Tensor tutorial <https://pytorch.org/tutorials/unstable /nestedtensor.html>`_
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# and comparing it to the ``nn.MultiheadAttention`` layer.
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import torch
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