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Update.
author
Francois Fleuret
<francois@fleuret.org>
Sat, 14 Jan 2017 08:44:06 +0000
(09:44 +0100)
committer
Francois Fleuret
<francois@fleuret.org>
Sat, 14 Jan 2017 08:44:06 +0000
(09:44 +0100)
README.md
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b/README.md
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README.md
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README.md
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-56,14
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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
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
+as-is as the input
to
the former. If it has multiple predecessors, all
the outputs are collected into a table, and the table is used as
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.
+input. The indexes of the outputs in that table reflect the
+chronological 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
The input to the DAG (respectively the produced output) is a nested
table of inputs reflecting the structure of the nested table of
-modules
provided
to DAG:setInput (respectively DAG:setOutput)
+modules
given as argument
to DAG:setInput (respectively DAG:setOutput)
So for instance, in the example above, the model expects a tensor as
input, since it is the input to the module a, and its output will is a
So for instance, in the example above, the model expects a tensor as
input, since it is the input to the module a, and its output will is a