Practical Implementation of PyTorch FlexAttention: Causal Attention and Variable-Length Sequence Processing Based on BlockMask
Source: DeepHub IMBA This article is approximately 2000 words long and is recommended for a 5-minute read. This article introduces how to use the new FlexAttention and BlockMask features introduced in PyTorch version 2.5 and above to implement causal attention mechanisms and handle padded inputs. Given the current lack of complete code examples and technical … Read more