How does caching Transformer layer outputs improve response time

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Can i know How does caching Transformer layer outputs improve response time?
Apr 17 in Generative AI by Nidhi
• 16,020 points
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1 answer to this question.

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You can improve response time in Transformers by caching key and value outputs of attention layers from previous tokens during autoregressive generation.
Here is the code snippet below:

In the above code we are using the following key points:

  • A simple attention block with internal cache to store past key-value tensors

  • Reuse of cached values to reduce redundant computation

  • Efficient handling of incremental token inputs during generation

Hence, caching Transformer outputs during generation significantly speeds up inference by minimizing redundant computation.
answered 2 days ago by mina

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