标签:的问答
为什么Pytorch Changeer模块1536中的多头脑投入规模?
原文:Why is the input size of the MultiheadAttention in Pytorch Transformer module 1536?
原文:Why is the input size of the MultiheadAttention in Pytorch Transformer module 1536?
在使用rch.nn.modules.transformer.Transformer模块/object时,第一层是 en-layers.0. 本身_attn上层,即多头脑层。
热门标签
- winforms
- combobox
- fogbugz
- java
- date
- internationalization
- asp.net
- iis
- url-rewriting
- urlrewriter
- c#
- enums
- ocaml
- haxe
- algorithm
- string
- viewstate
- .net
- c++
- c
- symbol-table
- mysql
- database
- postgresql
- licensing
- migration
- vb.net
- vb6
- declaration
- vb6-migration
- python
- psycopg2
- backup
- vmware
- virtualization
- gnu-screen
- authentication
- desktop
- excel
- xll
- cultureinfo
- regioninfo
- oracle
- client
- session
- download
- html
- virtual
- constructor
- scenarios
- perl
- full-text-search
- javascript
- ajax
- testing
- oop
- inheritance
- vim
- encapsulation
- information-hiding