ONNX Runtime 1.2.1

pts/onnx-1.2.1 - 30 October 2021 - Add cmake as necessary external dependency.

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.6.1-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>https://github.com/onnx/models/raw/master/vision/object_detection_segmentation/yolov4/model/yolov4.tar.gz</URL>
      <FileName>yolov4.tar.gz</FileName>
      <FileSize>248665735</FileSize>
      <Optional>TRUE</Optional>
    </Package>
    <Package>
      <URL>https://github.com/onnx/models/raw/master/vision/object_detection_segmentation/fcn/model/fcn-resnet101-11.tar.gz</URL>
      <FileName>fcn-resnet101-11.tar.gz</FileName>
      <FileSize>294729465</FileSize>
      <Optional>TRUE</Optional>
    </Package>
    <Package>
      <URL>https://github.com/onnx/models/raw/master/vision/classification/shufflenet/model/shufflenet-v2-10.tar.gz</URL>
      <FileName>shufflenet-v2-10.tar.gz</FileName>
      <FileSize>8721925</FileSize>
      <Optional>TRUE</Optional>
    </Package>
    <Package>
      <URL>https://github.com/onnx/models/raw/master/vision/super_resolution/sub_pixel_cnn_2016/model/super-resolution-10.tar.gz</URL>
      <FileName>super-resolution-10.tar.gz</FileName>
      <FileSize>1815286</FileSize>
      <Optional>TRUE</Optional>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/bash

rm -rf onnxruntime
git clone https://github.com/microsoft/onnxruntime
cd onnxruntime
git checkout v1.9.1
./build.sh --config Release --build_shared_lib --parallel --skip_tests --enable_lto --cmake_extra_defines onnxruntime_BUILD_FOR_NATIVE_MACHINE=ON
echo $? > ~/install-exit-status
retVal=$?
if [ $retVal -ne 0 ]; then
    echo $retVal > ~/install-exit-status
    exit $retVal
fi

cd ~
tar -xf yolov4.tar.gz
tar -xf fcn-resnet101-11.tar.gz
tar -xf shufflenet-v2-10.tar.gz
tar -xf super-resolution-10.tar.gz

echo "#!/bin/bash
./onnxruntime/build/Linux/Release/onnxruntime_perf_test \$@ > \$LOG_FILE 2>&1
echo \$? > ~/test-exit-status" > onnx
chmod +x onnx

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.6.1-->
<PhoronixTestSuite>
  <ResultsParser>
    <OutputTemplate>Total inference requests: #_RESULT_#</OutputTemplate>
    <DivideResultBy>2</DivideResultBy>
    <ResultPrecision>0</ResultPrecision>
  </ResultsParser>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.6.1-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>ONNX Runtime</Title>
    <AppVersion>1.9.1</AppVersion>
    <Description>ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo.</Description>
    <ResultScale>Inferences Per Minute</ResultScale>
    <Proportion>HIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.2.1</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Utility</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>python, git, build-utilities, cmake</ExternalDependencies>
    <InstallRequiresInternet>TRUE</InstallRequiresInternet>
    <EnvironmentSize>3200</EnvironmentSize>
    <ProjectURL>https://www.onnxruntime.ai/</ProjectURL>
    <RepositoryURL>https://github.com/microsoft/onnxruntime</RepositoryURL>
    <InternalTags>SMP</InternalTags>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
  <TestSettings>
    <Default>
      <PostArguments>-t 120 </PostArguments>
    </Default>
    <Option>
      <DisplayName>Model</DisplayName>
      <Identifier>model</Identifier>
      <Menu>
        <Entry>
          <Name>yolov4</Name>
          <Value>yolov4/yolov4.onnx</Value>
        </Entry>
        <Entry>
          <Name>fcn-resnet101-11</Name>
          <Value>fcn-resnet101-11/model.onnx</Value>
        </Entry>
        <Entry>
          <Name>shufflenet-v2-10</Name>
          <Value>model/test_shufflenetv2/model.onnx</Value>
        </Entry>
        <Entry>
          <Name>super-resolution-10</Name>
          <Value>super_resolution/super_resolution.onnx</Value>
        </Entry>
      </Menu>
    </Option>
    <Option>
      <DisplayName>Device</DisplayName>
      <Identifier>device</Identifier>
      <ArgumentPrefix>-e </ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>CPU</Name>
          <Value>cpu</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>