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authorFredrik Svedberg <Fredrik.Svedberg@arm.com>2020-12-11 13:42:22 +0100
committerpatrik.gustavsson <patrik.gustavsson@arm.com>2020-12-18 12:16:19 +0000
commit5b513886ab120023eb1319d4883b175db8b7de3a (patch)
tree8ed296f6567daac9c1a564ad417f3d14ab1b7186 /README.md
parent6c74c3bcaa733aa062c15d606726722b19c0dfdb (diff)
downloadethos-u-vela-5b513886ab120023eb1319d4883b175db8b7de3a.tar.gz
[MLBEDSW-297] Setup and run on Microsoft Windows
Various updates to make vela run and produce identical output on Microsoft Windows. * Fixed overflow errors * Fixed compile warnings * Avoid problematic numpy version * Updated README.md Signed-off-by: Fredrik Svedberg <Fredrik.Svedberg@arm.com> Change-Id: Ie48c63a92a00c81b3247d07f05b75d881319ddbb
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@@ -29,7 +29,8 @@ Vela supports TensorFlow 2.3.0
## Environment
-Vela runs on the Linux operating system.
+Vela runs on the Linux operating system and on Microsoft Windows,
+see note in Installation section below.
## Prerequisites
@@ -51,6 +52,10 @@ source code from
[ML Platform](https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela).
Both methods will automatically install all the required dependencies.
+**Note:** For installing on Microsoft Windows you need to have a C99 and C++11
+capable toolchain installed. The recommended and tested toolchain is Microsoft
+Visual C++ 14.x Build Tools, see <https://wiki.python.org/moin/WindowsCompilers>
+
### PyPi
Install Vela from PyPi using the following command: