MKL-DNN 1.0.0

pts/mkl-dnn-1.0.0 - 16 April 2019 - Initial commit of Intel MKL-DNN benchdnn benchmark.

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v8.8.0m2-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>http://www.phoronix-test-suite.com/benchmark-files/mkl-dnn-20190416.tar.xz</URL>
      <MD5>a6dba314d25c1201d01d9041c50f8ede</MD5>
      <SHA256>9cb03a8a6515c2810a416c46a3648420d6ecf3ce373a9238881aa0e9d3bbbdb4</SHA256>
      <FileName>mkl-dnn-20190416.tar.xz</FileName>
      <FileSize>1147600</FileSize>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/sh

tar -xf mkl-dnn-20190416.tar.xz

cd mkl-dnn-master/
./scripts/prepare_mkl.sh 

mkdir build 
cd build 
cmake $CMAKE_OPTIONS ..
make -j $NUM_CPU_CORES
echo $? > ~/install-exit-status

cd ~

echo "#!/bin/sh
cd mkl-dnn-master/build/tests/benchdnn
./benchdnn \$@ > \$LOG_FILE 2>&1
echo \$? > ~/test-exit-status" > mkl-dnn
chmod +x mkl-dnn

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v8.8.0m2-->
<PhoronixTestSuite>
  <ResultsParser>
    <OutputTemplate>total perf  min(ms) #_MIN_RESULT_# avg(ms) #_RESULT_#</OutputTemplate>
    <LineHint>total perf</LineHint>
    <TurnCharsToSpace>:</TurnCharsToSpace>
  </ResultsParser>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v8.8.0m2-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>MKL-DNN</Title>
    <AppVersion>2019-04-16</AppVersion>
    <Description>This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported.</Description>
    <ResultScale>ms</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.0.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Utility</SoftwareType>
    <TestType>Processor</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>build-utilities, cmake</ExternalDependencies>
    <EnvironmentSize>355</EnvironmentSize>
    <ProjectURL>https://github.com/intel/mkl-dnn</ProjectURL>
    <InternalTags>SMP, OpenMP</InternalTags>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
  <TestSettings>
    <Default>
      <Arguments>--mode=p</Arguments>
    </Default>
    <Option>
      <DisplayName>Harness</DisplayName>
      <Identifier>harness</Identifier>
      <Menu>
        <Entry>
          <Name>Convolution Batch conv_all</Name>
          <Value>--conv --batch=inputs/conv_all</Value>
        </Entry>
        <Entry>
          <Name>Convolution Batch conv_3d</Name>
          <Value>--conv --batch=inputs/conv_3d</Value>
        </Entry>
        <Entry>
          <Name>Convolution Batch conv_alexnet</Name>
          <Value>--conv --batch=inputs/conv_alexnet</Value>
        </Entry>
        <Entry>
          <Name>Convolution Batch conv_googlenet_v3</Name>
          <Value>--conv --batch=inputs/conv_googlenet_v3</Value>
        </Entry>
        <Entry>
          <Name>Deconvolution Batch deconv_all</Name>
          <Value>--deconv --batch=inputs/deconv/deconv_all</Value>
        </Entry>
        <Entry>
          <Name>Deconvolution Batch deconv_1d</Name>
          <Value>--deconv --batch=inputs/deconv/deconv_1d</Value>
        </Entry>
        <Entry>
          <Name>Deconvolution Batch deconv_3d</Name>
          <Value>--deconv --batch=inputs/deconv/deconv_3d</Value>
        </Entry>
        <Entry>
          <Name>IP Batch 1D</Name>
          <Value>--ip --batch=inputs/ip/ip_1d</Value>
        </Entry>
        <Entry>
          <Name>IP Batch All</Name>
          <Value>--ip --batch=inputs/ip/ip_all</Value>
        </Entry>
      </Menu>
    </Option>
    <Option>
      <DisplayName>Data Type</DisplayName>
      <Identifier>data-type</Identifier>
      <ArgumentPrefix>--cfg=</ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>f32</Name>
          <Value>f32</Value>
        </Entry>
        <Entry>
          <Name>u8s8f32s32</Name>
          <Value>u8s8f32s32</Value>
        </Entry>
        <Entry>
          <Name>u8s8u8s32</Name>
          <Value>u8s8u8s32</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>