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authorRichard Burton <richard.burton@arm.com>2022-03-15 09:58:59 +0000
committerRichard <richard.burton@arm.com>2022-03-15 14:52:45 +0000
commit0fb5ae799fdd1df49c2d1552d729ebd22e836ee4 (patch)
treea94d6705a380f13a0bec67c2476b665da54ab9a2
parentd31241bd180022f1c5f529275182200a0afe0fa2 (diff)
downloadml-embedded-evaluation-kit-0fb5ae799fdd1df49c2d1552d729ebd22e836ee4.tar.gz
MLECO-3041: Update model optimization documentation
Change-Id: I771089443a6cdb4135570fcdd6e321a8f68fcf4a
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diff --git a/docs/sections/building.md b/docs/sections/building.md
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@@ -732,6 +732,9 @@ After compiling, your custom model has now replaced the default one in the appli
> <https://pypi.org/project/ethos-u-vela/>.
> The source code is hosted on <https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela/>.
+> **Note:** Using the 22.02 versions of software dependencies will require Vela to be at least version 3.3.0
+> or you may encounter issues when trying to run applications on different variants of Ethos-U.
+
The Vela compiler is a tool that can optimize a neural network model into a version that can run on an embedded system
containing an *Ethos-U* NPU.