Attention mechanism with different layer size

Question

Can i know if Attention mechanism with different layer size?

Answer 1

The attention mechanism can have different layer sizes by using projection layers of varying dimensions for Query, Key, and Value transformations.

Here is the code snippet you can refer to:

In the above code snippets we are using the following techniques:

• Implements an attention mechanism with varying Query, Key, and Value sizes.
• Uses nn.Linear layers to map inputs to different-sized projections.
• Applies scaled dot-product attention with softmax for normalization.
• Uses an additional Linear layer to project the context vector to an output size.
• Ensures flexibility in attention design by allowing different layer sizes.

Hence, attention mechanisms with different layer sizes provide more architectural flexibility, optimizing representation learning for specific tasks.