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Hi team.
Generic license question about deployment.
We have successfully prototyped usage of QNN to deploy models on Android devices with Snapdragons. In order to use the latest QNN SDK we had to carry with us the QC libraries (libqnn*.so and all the dsp skel files) in order to use the model.
The QNN license is pretty broad and requires attribution and also usage tracking (our lawyer suspected they used a generic license also used for codecs)
This license terms is what stopped us from finally productizing the usage of QNN.
Now with executor it seems I can access also the DSP's via QNN, but the BSD license is more permissive (does not have the tracking requirement)
Question:
1- is that the case? can we use QNN under executorch with only the BSD license?
2- to deploy the model we still need to push all the QNN libs correct?
Thanks in advance
Miguel
The text was updated successfully, but these errors were encountered:
Hi team.
Generic license question about deployment.
We have successfully prototyped usage of QNN to deploy models on Android devices with Snapdragons. In order to use the latest QNN SDK we had to carry with us the QC libraries (libqnn*.so and all the dsp skel files) in order to use the model.
The QNN license is pretty broad and requires attribution and also usage tracking (our lawyer suspected they used a generic license also used for codecs)
This license terms is what stopped us from finally productizing the usage of QNN.
Now with executor it seems I can access also the DSP's via QNN, but the BSD license is more permissive (does not have the tracking requirement)
Question:
1- is that the case? can we use QNN under executorch with only the BSD license?
2- to deploy the model we still need to push all the QNN libs correct?
Thanks in advance
Miguel
The text was updated successfully, but these errors were encountered: