Update.

[dagnn.git] / README.md

diff --git a/README.md b/README.md
index f370b71..1d6f5bd 100644 (file)
--- 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
@@ -65,13 +70,13 @@ 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()##
+###nn.DAG()###
 
 Create a new empty DAG, which inherits from nn.Container.
 
-##nn.DAG:connect([module1 [, module2 [, ...]]])##
+###nn.DAG:connect([module1 [, module2 [, ...]]])###
 
 Add new nodes corresponding to the modules passed as arguments if they
 are not already existing. Add edges between every two nodes
@@ -80,21 +85,21 @@ corresponding to a pair of successive modules in the arguments.
 Calling it with n > 2 arguments is strictly equivalent to calling it
 n-1 times on the pairs of successive arguments.
 
-##nn.DAG:setInput(i)##
+###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)##
+###nn.DAG:setOutput(o)###
 
 Similar to DAG:setInput().
 
-##nn.DAG:print()##
+###nn.DAG:print()###
 
 Prints the list of nodes.
 
-##nn.DAG:saveDot(filename)##
+###nn.DAG:saveDot(filename)###
 
 Save a dot file to be used by the Graphviz set of tools for graph
 visualization. This dot file can than be used for instance to produce
@@ -104,17 +109,5 @@ a pdf file with
 dot graph.dot -T pdf -o graph.pdf
 ```
 
-##nn.DAG:updateOutput(input)##
-
-See the torch documentation.
-
-##nn.DAG:updateGradInput(input, gradOutput)##
-
-See the torch documentation.
-
-##nn.DAG:accGradParameters(input, gradOutput, scale)##
-
-See the torch documentation.
-
 -- 
 *Francois Fleuret, Jan 13th, 2017*