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authorRichard Burton <richard.burton@arm.com>2022-12-01 12:31:23 +0000
committerRichard Burton <richard.burton@arm.com>2022-12-01 12:31:23 +0000
commit71f282e8dc7284431cd6d0305370cc8e450d4463 (patch)
treeb1e74e4df1990da4061e477e628485022142ffe0 /docs
parentf32a86a6969508d7a156decbed0bfc9466ad92fa (diff)
downloadml-embedded-evaluation-kit-71f282e8dc7284431cd6d0305370cc8e450d4463.tar.gz
MLECO-3620 MLECO-3619: Update to 22.11 dependencies22.11-rc122.11
* CMSIS-NN is now a seperate dependency * Added inclusive language commitment * TensorFlow Lite Micro dependency is moved ahead of 22.11 to fix compilation issue Change-Id: I60e3311ff7da2ce064cbcdca054a86bdd1f620d8
Diffstat (limited to 'docs')
-rw-r--r--docs/quick_start.md2
-rw-r--r--docs/sections/building.md2
2 files changed, 2 insertions, 2 deletions
diff --git a/docs/quick_start.md b/docs/quick_start.md
index d7afae7..37002ad 100644
--- a/docs/quick_start.md
+++ b/docs/quick_start.md
@@ -71,7 +71,7 @@ mkdir resources_downloaded && cd resources_downloaded
python3 -m venv env
env/bin/python3 -m pip install --upgrade pip
env/bin/python3 -m pip install --upgrade setuptools
-env/bin/python3 -m pip install ethos-u-vela==3.5.0
+env/bin/python3 -m pip install ethos-u-vela==3.6.0
cd ..
curl -L https://github.com/ARM-software/ML-zoo/raw/7c32b097f7d94aae2cd0b98a8ed5a3ba81e66b18/models/anomaly_detection/micronet_medium/tflite_int8/ad_medium_int8.tflite \
diff --git a/docs/sections/building.md b/docs/sections/building.md
index cac66c3..42b0daa 100644
--- a/docs/sections/building.md
+++ b/docs/sections/building.md
@@ -700,7 +700,7 @@ 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 22.08 versions of software dependencies will require Vela to be at least version 3.5.0
+> **Note:** Using the 22.11 versions of software dependencies will require Vela to be at least version 3.6.0
> 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