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authorNikhil Raj <nikhil.raj@arm.com>2022-08-09 15:16:46 +0100
committerNikhil Raj <nikhil.raj@arm.com>2022-08-10 10:26:10 +0100
commitac1eab0b114a11a42ee2c053bfd3e266d0e4d665 (patch)
treee33fd60cfc005c06347519419f542244a6cc5c47 /delegate
parenta1e1ee8696d842a0e7b660865bd0317d6e509ece (diff)
downloadarmnn-ac1eab0b114a11a42ee2c053bfd3e266d0e4d665.tar.gz
Fixing documents for 22.08
* Fixed broken links * Updated link to bazel guide * Fixed versioning issues in packaging doc * Updated paths to binary files Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I6120bb2dd56d55a994cd12d99bed054ce4d7c058
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@@ -61,7 +61,7 @@ git checkout <branch_name> # e.g. branches/armnn_21_11
## Build Tensorflow Lite for C++
Tensorflow has a few dependencies on it's own. It requires the python packages pip3, numpy,
and also Bazel or CMake which are used to compile Tensorflow. A description on how to build bazel can be
-found [here](https://docs.bazel.build/versions/master/install-compile-source.html). But for this guide, we will
+found [here](https://bazel.build/install/compile-source). But for this guide, we will
compile with CMake. Depending on your operating system and architecture there might be an easier way.
```bash
wget -O cmake-3.16.0.tar.gz https://cmake.org/files/v3.16/cmake-3.16.0.tar.gz