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authorNina Drozd <nina.drozd@arm.com>2022-09-06 17:00:34 +0100
committerNina Drozd <nina.drozd@arm.com>2022-09-07 14:21:25 +0100
commit28224309791e36dfb806d5a0554d15260585818f (patch)
treee81be8206310aec405fd62825bb1d6b4bf020959 /docs/sections/building.md
parent72eec15eddf0822a138df029b4afaf2b137dd356 (diff)
downloadml-embedded-evaluation-kit-28224309791e36dfb806d5a0554d15260585818f.tar.gz
MLECO-3535: update to 22.08 versions of models
* update to 22.08 release of ethos-u-vela * update download_dependencies script to new tf revision Signed-off-by: Nina Drozd <nina.drozd@arm.com> Change-Id: Ib4cb47ac0881d45fc6766b6b87154584d9db7374
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@@ -712,7 +712,7 @@ 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 22.05 versions of software dependencies will require Vela to be at least version 3.4.0
+> **Note:** Using the 22.08 versions of software dependencies will require Vela to be at least version 3.5.0
> or you may encounter issues when trying to run applications on different variants of Ethos-U NPUs.
The Vela compiler is a tool that can optimize a neural network model into a version that can run on an embedded system