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    Build apq8096 GPU libs with different compiler

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    • Philemon BennerP
      Philemon Benner
      last edited by

      Hey,
      i'm currently trying to build voxl-tflite-server with a newer toolchain to get it running with tensorflow 2.8.0. The tensorflow build and other dependencies worked building but i am failing with the builtin gpu libs.
      Screenshot from 2022-07-20 11-15-38.png
      I had a look at the Voxl System Image Build, but didn't find anything regarding to these librarys. Is there a way to build them with a different compiler ?
      Also are the optimization flags of the newest voxl-tflite-server compiler specific ?

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      • Chad SweetC
        Chad Sweet ModalAI Team
        last edited by

        Unfortunately, no. Those come from Qualcomm and there is no opportunity for change.

        Philemon BennerP 1 Reply Last reply Reply Quote 0
        • Philemon BennerP
          Philemon Benner @Chad Sweet
          last edited by

          @Chad-Sweet Thank you for the fast answer

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          • ?
            A Former User
            last edited by

            Hey @Philemon-Benner,

            As of a few minutes ago, the latest voxl-tflite-server (v0.3.0) is now running with tensorflow v2.8.0 for apq8096. This means that you can now run any of the models that were included with qrb5165 on VOXL without dealing with these headaches. You can pull this from the dev apq8096 packages repo, or directly from here: http://voxl-packages.modalai.com/dists/apq8096/dev/binary-arm64/voxl-tflite-server_0.3.0_202207212215.ipk

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