<metapackage xmlns:os="http://opensuse.org/Standards/One_Click_Install" xmlns="http://opensuse.org/Standards/One_Click_Install">
  <group>
    <repositories>
      <repository recommended="true">
        <name>science:machinelearning</name>
        <summary>Machine Learning Software Packages</summary>
        <description>This project provides packages related to Machine Learning.</description>
        <url>https://download.opensuse.org/repositories/science:/machinelearning/16.1/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Leap:16.1</name>
        <summary>openSUSE Leap 16.1 based on SLFO</summary>
        <description>Leap 16.1 based on SLES 16.1</description>
        <url>https://download.opensuse.org/distribution/leap/16.1/repo/oss/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Backports:SLE-16.1</name>
        <summary>Community packages for SLE-16.1</summary>
        <description>Community packages for SLE-16.1

packages in product_ph are build as build target SLES 16.1 beta2, please use that for testing Package Hub</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Backports:/SLE-16.1/standard/</url>
      </repository>
      <repository recommended="false">
        <name>SUSE:SLFO:Main</name>
        <summary></summary>
        <description></description>
        <url>https://download.opensuse.org/repositories/SUSE:/SLFO:/Main/leap_16/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>armnn</name>
        <summary>Arm NN SDK enables machine learning workloads on power-efficient devices</summary>
        <description>Arm NN is an inference engine for CPUs, GPUs and NPUs.
It bridges the gap between existing NN frameworks and the underlying IP.
It enables efficient translation of existing neural network frameworks,
such as TensorFlow Lite, allowing them to run efficiently – without
modification – across Arm Cortex CPUs and Arm Mali GPUs.</description>
      </item>
    </software>
  </group>
</metapackage>
