<?xml version="1.0"?>
<!--Phoronix Test Suite v10.4.0-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>TNN</Title>
    <AppVersion>0.3</AppVersion>
    <Description>TNN is an open-source deep learning reasoning framework developed by Tencent.</Description>
    <ResultScale>ms</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.1.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Scientific</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>cmake, build-utilities</ExternalDependencies>
    <EnvironmentSize>65</EnvironmentSize>
    <ProjectURL>https://github.com/Tencent/TNN</ProjectURL>
    <RepositoryURL>https://github.com/Tencent/TNN</RepositoryURL>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
  <TestSettings>
    <Option>
      <DisplayName>Target</DisplayName>
      <Identifier>target</Identifier>
      <ArgumentPrefix>-dt </ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>CPU</Name>
          <Value>NAIVE</Value>
        </Entry>
      </Menu>
    </Option>
    <Option>
      <DisplayName>Model</DisplayName>
      <Identifier>model</Identifier>
      <ArgumentPrefix>-mp </ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>DenseNet</Name>
          <Value>../benchmark/benchmark-model/densenet.tnnproto</Value>
        </Entry>
        <Entry>
          <Name>MobileNet v2</Name>
          <Value>../benchmark/benchmark-model/mobilenet_v2.tnnproto</Value>
        </Entry>
        <Entry>
          <Name>SqueezeNet v1.1</Name>
          <Value>../benchmark/benchmark-model/squeezenet_v1.1.tnnproto</Value>
        </Entry>
        <Entry>
          <Name>SqueezeNet v2</Name>
          <Value>../benchmark/benchmark-model/shufflenet_v2.tnnproto</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>
