欢迎关注同名公众号【chaofa用代码打点酱油】追踪获得文字更新: https://mp.weixin.qq.com/s/_E-laPdR1mxZc-0O-44h6A 文字代码解读: https://bruceyuan.com/hands-on-code/hands-on-group-query-attention-and-multi-query-attention.html GitHub 链接: https://github.com/bbruceyuan/AI-Interview-Code ...
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT ImagesJiechao MaXiang LiHongwei LiBjoern H MenzeSen LiangRongguo ZhangWei-Shi ZhengPMLRInternational Conference on Medical Imaging with Deep Learning -- Full Paper Track...
GQA(Grouped-Query Attention,GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints)是分组查询注意力,GQA将查询头分成G组,每个组共享一个Key 和 Value 矩阵。GQA-G是指具有G组的grouped-query attention。GQA-1具有单个组,因此具有单个Key 和 Value,等效于MQA。而GQA-H具有与头数...
MQA的原理很简单，它将原生Transformer每一层多头注意力的Key线性映射矩阵、Value线性映射矩阵改为该层下所有头共享，也就是说K、V矩阵每层只有一个。举例来说，以ChatGLM2-6B为例，一共28层，32个注意力头，输入维度从4096经过Q、K、V矩阵映射维度为128，若采用原生多头注意力机制，则Q、K、V矩阵各有28×32...
这就有了Multi-Query Attention(MQA),即query的数量还是多个,而keys和values只有一个,所有的query共享一组。这样KV Cache就变小了。 GQA 但MQA的缺点就是损失了精度,所以研究人员又想了一个折中方案:不是所有的query共享一组KV,而是一个group的guery共享一组KV,这样既降低了KV cache,又能满足精度。这就有了...
we propose an attention-based local region merging method Group Attention Transformer (GA-Trans), which evaluates the importance of each patch by using the self-attention weight inside the Transformer, and then aggregates adjacent high weight attention blocks into groups, then randomly select groups ...
77、Llama源码讲解之GroupQueryAttention和KV-cache deep_thoughts· 7-5 358406:47 IGC #[7]2 - Points Incremental Rewritten (2024.7.8) -Finitition-· 7-11 2927523:50 【空间的律动】批量插值工具箱Batch Interpolation v0.1.2使用说明 空间的律动· 2021-3-27 1746238:58:19 Applied Group Theory (Spri...
The idea that group contexts can intensify emotions is centuries old. Yet, evidence that speaks to how, or if, emotions become more intense in groups remains elusive. Here we examine the novel possibility that group attention-the experience of simultaneous coattention with one's group members-inc...
外部播放此歌曲> Major - Intro (Group Attention) 专辑:Before The March IV - Group Attention 歌手:Major 还没有歌词哦
Cascaded Group Attention(CGA)是EfficientViT模型中引入的一种新型注意力模块,其灵感来自高效 CNN 中的组卷积。 在这种方法中,模型向各个头部提供完整特征的分割,因此将注意力计算明确地分解到各个头部。分割特征而不是向每个头提供完整特征可以节省计算量,并使过程更加高效,并且模型通过鼓励各层学习具有更丰富信息的特...