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authorSamuel Yap <samuel.yap@arm.com>2022-08-08 14:07:42 +0100
committerNikhil Raj <nikhil.raj@arm.com>2022-08-30 17:03:33 +0100
commitdc8ed9d75e54e914a970e137900930fa64a0782b (patch)
tree8bcaedaae81a6afbdbe3c9a4e69e45840f18cdb4 /InstallationViaAptRepository.md
parent9c9d5b9d796d243d88bd7a7aebb2e7e6c467e3a4 (diff)
downloadarmnn-dc8ed9d75e54e914a970e137900930fa64a0782b.tar.gz
IVGCVSW-7105: BatchMatMul Optional Parameter Support
* Added transpose parameters to pre-transpose each input tensor's slices * Added adjoint parameters to pre-adjoint each input tensor's slices * Small refactoring (BatchMatMulDescriptor static helpers and BatchMatMulImpl constructor) * Updated input validation and output shape inference for parameters * Additional layer unit tests for parameters added * Versionings incremented Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667
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@@ -117,7 +117,7 @@ The easiest way to install all of the available packages for your systems archit
sudo apt-get install -y python3-pyarmnn armnn-latest-all
# Verify installation via python:
python3 -c "import pyarmnn as ann;print(ann.GetVersion())"
- # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 30.0.0
+ # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 31.0.0
```
This will install PyArmNN and the three backends for Neon (CpuAcc), OpenCL (GpuAcc) and our Reference Backend.
It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser