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authorKeith Davis <keith.davis@arm.com>2021-05-21 16:33:48 +0100
committerKeith Davis <keith.davis@arm.com>2021-06-16 17:27:59 +0100
commit3ae3f978cf9ce3174609b7152af87acb410b0fe0 (patch)
tree9c71ea6aafbacfeba6938b5e0e29cdc97a784b70 /InstallationViaAptRepository.md
parent50de4fa4e7e0dd02a442ba350a1b40f293cb5a01 (diff)
downloadarmnn-3ae3f978cf9ce3174609b7152af87acb410b0fe0.tar.gz
MLCE-510 Add CpuRef Shape Operator to ArmNN
* Add front end * Add reference workload * Serialization/Deserialization * Add unit tests * Update ArmNN Versioning Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I6fcb1fa341d6f08dea4003b13544e6e9f53fefd3
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diff --git a/InstallationViaAptRepository.md b/InstallationViaAptRepository.md
index 16837be110..e4078603eb 100644
--- a/InstallationViaAptRepository.md
+++ b/InstallationViaAptRepository.md
@@ -113,7 +113,7 @@ In order to check for the latest available Arm NN version use apt-cache search:
# Export the ARMNN_MAJOR_VERSION to the latest visible e.g. libarmnn25 to allow installation using the below examples
- export ARMNN_MAJOR_VERSION=25
+ export ARMNN_MAJOR_VERSION=26
```
@@ -124,7 +124,7 @@ The easiest way to install all of the available packages for your systems archit
sudo apt-get install -y python3-pyarmnn libarmnn-cpuacc-backend${ARMNN_MAJOR_VERSION} libarmnn-gpuacc-backend${ARMNN_MAJOR_VERSION} libarmnn-cpuref-backend${ARMNN_MAJOR_VERSION}
# Verify installation via python:
python3 -c "import pyarmnn as ann;print(ann.GetVersion())"
- # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 25.0.0
+ # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 26.0.0
```
This will install PyArmNN and the three backends for Neon, Compute Library and our Reference Backend.
It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser