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authorNikhil Raj <nikhil.raj@arm.com>2023-08-01 15:00:39 +0100
committerTeresaARM <teresa.charlinreyes@arm.com>2023-08-04 08:33:34 +0000
commitc377eb8305e6fdc0f4d00bb4766827fc3087bf25 (patch)
tree18a5d44f68c5d7af994de61ea9fb886f81b8ca20 /docs/05_01_parsers.dox
parenta280650509c4fbaa2508cdbc42e31f5a1805bd2a (diff)
downloadarmnn-c377eb8305e6fdc0f4d00bb4766827fc3087bf25.tar.gz
IVGCVSW-7701 Update docu with new ops in 23.08
* Add supported ops in SupportLibrary * Removed tableofcontents which was never used * Separated pages for serializer and deserializer * Removed link to delegate/IntegrateDelegateIntoPython.md which was removed * Arranged components in alphabetical order Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: Ic7a62d0af092f97c49f8ace1a8f8f31d9152b3f8
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diff --git a/docs/05_01_parsers.dox b/docs/05_01_parsers.dox
index 6050d65953..f92504b389 100644
--- a/docs/05_01_parsers.dox
+++ b/docs/05_01_parsers.dox
@@ -8,7 +8,7 @@ namespace armnn
/**
@page parsers Parsers
-@tableofcontents
+
Execute models from different machine learning platforms efficiently with our parsers. Simply choose a parser according
to the model you want to run e.g. If you've got a model in onnx format (<model_name>.onnx) use our onnx-parser.