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author | Richard Burton <richard.burton@arm.com> | 2022-03-15 09:58:59 +0000 |
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committer | Richard <richard.burton@arm.com> | 2022-03-15 14:52:45 +0000 |
commit | 0fb5ae799fdd1df49c2d1552d729ebd22e836ee4 (patch) | |
tree | a94d6705a380f13a0bec67c2476b665da54ab9a2 | |
parent | d31241bd180022f1c5f529275182200a0afe0fa2 (diff) | |
download | ml-embedded-evaluation-kit-0fb5ae799fdd1df49c2d1552d729ebd22e836ee4.tar.gz |
MLECO-3041: Update model optimization documentation
Change-Id: I771089443a6cdb4135570fcdd6e321a8f68fcf4a
-rw-r--r-- | docs/sections/building.md | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/docs/sections/building.md b/docs/sections/building.md index 4f4e6dd..f4acfa1 100644 --- a/docs/sections/building.md +++ b/docs/sections/building.md @@ -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. |