Multi-query attention 与 Transformer 中普通的 Multi-head attention 的唯一区别在于,不同的 heads 之间共享 K, V 矩阵;只有 Q 不同。 这种方法在不过多损害性能的前提下,减少了内存占用。目前 Falcon、chatGLM 等LLM 已经采用了这种注意力机制。 Grouped-query Attention 介于Multi-head 和 Multi-query 之间,...
在Attention机制上，稀疏注意力机制如OpenAI的Atrous Self Attention和Local Self Attention旨在减少运算时间和显存占用，Multi-query attention和Grouped-query Attention则通过减少内存占用来提高效率，FlashAttention则从GPU底层数据存储的角度出发，优化内存使用和计算速度。并行Transformer block如PaLM中的预归一化...
因为减少了每个head的维度,所以总的计算量还是与单个head(全维度)差不多。 class MultiHeadedAttention(nn.Module): def __init__(self, h, d_model, dropout=0.1): "Take in model size and number of heads." super(MultiHeadedAttention, self).__init__() assert d_model % h == 0 # We assume...
I don't think it's casual viewing, it's not a film you can pop on to chill out to, or have on just in the background, you need to be concentrating, or you won't have a clue what's going on, even if it has your full attention, you will be scratching your head a few ...
3.1.2 Self-Attention and Multi-Head Self-Attention Vanilla Transformer 的核心组件是 Self-Attention(SA)操作,也称为“Scaled DotProduct Attention”。假设是 N 个元素 /token 的输入序列,位置编码的可选预处理是通过逐点求和或拼接。 预处理后,嵌入 Z 将经过三个投影矩阵()生成三个嵌入 Q(Query),K(Key)...
The Definitive (Jux) soundtrack to inner-city paranoia fired through a filter of social commentary, frustration, and science fiction. Long before Run The Jewels El-P was the king of a very particular brand of underground hip-hop. Intentionally obfuscating his vocals, El-P draws attention to ...
The plot takes your attention, and the frights create a mood rather than panic. Puzzle Perfect Eerie puzzle games can chill without scaring you. “Limbo” and “Inside” create an eerie environment with haunting visuals and sound. However, solving complex puzzles and progressing the story are th...
Twilight peeked her head over the edge, and quickly stepped back. “It certainly is... high.” Dash chuckled. “Yeah, my place is pretty awesome.” Twilight stepped away from the edge, and Rainbow Dash turned her attention to the sky. As the moon began to shift from its position, it...
Likely as a result of the short-form nature of social media, our attention spans are now shorter and our desperation for entertainment greater. We burn through content – games, YouTube videos, Netflix shows, social trends, news topics, etc. – at hyperspeed, jumping from one ...
multi_head_attention.py swap k and v Apr 15, 2022 positional_encodings.py update docstrings and apply black formatting Mar 21, 2022 readme.md Update readme.md May 5, 2022 requirements.txt add numpy to requirements to build unit test ...