From: Francois Fleuret Date: Fri, 13 Jan 2017 22:52:35 +0000 (+0100) Subject: Update. X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=07a8c54a66b01f342e4d03ca2cf99710d56806d0;p=dagnn.git Update. --- diff --git a/README.md b/README.md index 6418a40..1d6f5bd 100644 --- a/README.md +++ b/README.md @@ -48,13 +48,18 @@ Note that DAG:connect allows to add a bunch of edges at once. This is particularly useful to add anonymous modules which have a single predecessor and successor. +#Usage# + ##Input and output## -If a node has a single predecessor, its output is taken as-is. If it -has multiple predecessors, all the outputs are collected into a table, -and the table is used as input. The indexes of the outputs in that -table reflects the order in which the predecessors appeared in the -DAG:connect() commands. +The DAG can deal with modules which take as input and produce as +output tensors and nested tables of tensors. + +If a node has a single predecessor, the output of the latter is taken +as-is as the input of the former. If it has multiple predecessors, all +the outputs are collected into a table, and the table is used as +input. The indexes of the outputs in that table reflects the order in +which the edges where created in the DAG:connect() commands. The input to the DAG (respectively the produced output) is a nested table of inputs reflecting the structure of the nested table of @@ -65,7 +70,7 @@ input, since it is the input to the module a, and its output will is a table composed of two tensors, corresponding to the outputs of d and e respectively. -##Usage## +##Functions## ###nn.DAG()### @@ -83,8 +88,8 @@ n-1 times on the pairs of successive arguments. ###nn.DAG:setInput(i)### Defines the content and structure of the input. The argument should be -either a module, or a (nested) table of module. The input to the DAG -should be a (nested) table of inputs with the corresponding structure. +either a module, or a (nested) table of modules. The input to the DAG +should be a (nested) table of inputs, with the corresponding structure. ###nn.DAG:setOutput(o)###