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| author |   Malik Talha <talhamalik727x@gmail.com> | 2023-10-06 01:46:44 +0500 |
|---|---|---|
| committer |   Jan-Simon Moeller <jsmoeller@linuxfoundation.org> | 2023-10-06 13:19:50 +0000 |
| commit | 713efdf66dca8e60c3db1e720a9bb2bd074c40f3 (patch) | |
| tree | 2a0442fee5812d4d5c19016ab479ab3daa30406b /meta-offline-voice-agent/README.md | |
| parent | 88775acac57bdd2184180ad672a410b1155f1e1f (diff) | |
Fix Scipy, OpenBlas, and NumPy library linking issues
This fixes the linking issues primarily between Scipy and OpenBlas
caused due to Scipy expecting a different name for OpenBlas dynamic
linking library.
Bug-AGL: SPEC-4925
Change-Id: Idb8f620134d63e7d9425a0df8942370430b3f700
Signed-off-by: Malik Talha <talhamalik727x@gmail.com>
Diffstat (limited to 'meta-offline-voice-agent/README.md')
| -rw-r--r-- | meta-offline-voice-agent/README.md | 6 |
1 files changed, 0 insertions, 6 deletions
diff --git a/meta-offline-voice-agent/README.md b/meta-offline-voice-agent/README.md index abde819a..bed8b35e 100644 --- a/meta-offline-voice-agent/README.md +++ b/meta-offline-voice-agent/README.md @@ -59,12 +59,6 @@ EXTRA_IMAGE_FEATURES += "ptest-pkgs" The above method may be the easiest one but it's not recommended because `ptests` increase the image build times by a substantial amount. You can look into the official [vosk-api docs](https://alphacephei.com/vosk/install) for usage and other ways of testing. ### Test Snips -(**Important**) Currently, there are some library linking issues between NumPy, SciPy, and OpenBLAS. While we investigate and fix them you need to use `LD_PRELOAD` method as a workaround for Snips to work properly. Input the following command as soon as you boot into the target image: -```shell -$ export LD_PRELOAD=/usr/lib/libopenblas.so.0 -``` - - In order to test the Snips NLU Intent Engine you can use the sample [pre-trained model](https://github.com/malik727/snips-model-agl), by default it automatically gets built into the target image when you include this layer. To perform inference using this model you can run the following command inside your target image: ```shell $ snips-inference parse /usr/share/nlu/snips/model/ -q "your command here" |