大语言模型解码的时候,对于每个batch来讲,输入的seq就是1,这个时候attention的计算可以特别优化,我们经常调用mmha这个内核来进行计算。 mmha同时也是cuda新手上手的一个较好的例子 Paddle的mmha代码地址 大家都知道 cahce k的shape是[batch, num_head, max_len , head_dim] cahce v的shape是[batch, num_head,...
解码器之 Masked Multi-Head Attention #人工智能 - saint于20220209发布在抖音,已经收获了1279个喜欢,来抖音,记录美好生活!
Self Attention:考虑对于文章自身的每个单词而言重要的信息 ; Masked Attention:只考虑当前及过去的文本信息的重要性,不考 虑未来的文本信息的重要性; Multi-Head Attention :考虑对于同一词语的不同含义重要的信息,再 将结果“组合”起来。 发布于 2023-09-18 15:45・IP 属地广东 ...
Enter multi-head attention (MHA) — a mechanism that has outperformed both RNNs and TCNs in tasks such as machine translation. By using sequence similarity, MHA possesses the ability to more efficiently model long-term dependencies. Moreover, masking can be employed to ensure that the MHA ...
multi-head attention 由多个 scaled dot-product attention 这样的基础单元经过 stack 而成。 按字面意思理解,scaled dot-product attention 即缩放了的点乘注意力,我们来对它进行研究。 那么Q、K、V 到底是什么?encoder 里的 attention 叫 self-attention,顾名思义,就是自己和自己做 attention。在传统的 seq2seq...
Multi-head channel attention and masked cross-attention mechanisms are employed to emphasize the importance of relevance from various perspectives in order to enhance significant features associated with the text description and suppress non-essential features unrelated to the textual information. The ...
Transformer block:a Multi-head self-attention block and an MLP block, both having LayerNorm. l 编码器以LN层结尾 l MAE的编码、解码宽度不同,通过linear projection layer来调整编码器的输出维度,使其可作为解码器输入端 l 编码、解码端都增加了position embeddings(the sine-cosine version)操作 ...
2.1 MultiHead Attention理论讲解 2.2. Pytorch实现MultiHead Attention 三. Masked Attention 3.1 为什么要使用Mask掩码 3.2 如何进行mask掩码 3.3 为什么是负无穷而不是0 3.4. 训练时的掩码 参考资料本文内容本文基于李宏毅老师对 Self-Attention 的讲解,进行理解和补充,并结合Pytorch代码,最终目的是使得自己和各位读者更...
Temporal inception convolutional network based on multi-head attention for ultra-short-term load forecasting Accurate load forecasting is essential for ensuring safe, stable, and economical operation of energy internet. Temporal convolutional networks (TCNs) have ... C Tong,L Zhang,H Li,... - 《...