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torch.nn.functional.scaled_dot_product_attention
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torch.nn.functional.scaled_dot_product_attention

Explore this reference material for in-depth technical documentation and background theory on Scaled Dot-Product Attention: Mathematical Formulation.

Source: docs.pytorch.orgRead Reference

Scaled Dot-Product Attention: Mathematical Formulation

Learning Objectives

  • •Query, Key, Value vector projection
  • •Scaling factor rationale
  • •Softmax normalization properties

Weekly Outcome

By the end of this module you will be able to mathematically derive and implement scaled dot-product attention with proper gradient flow.

Resources

torch.nn.functional.scaled_dot_product_attentionGuide to Scaled Dot-Product Attention with PyTorch | by Hey Amit | MediumTutorial on Scaled Dot-Product Attention with PyTorch Implementation from Scratch | by Kamron M. | Medium