Caffe AlexNet 1.0.0

pts/caffe-1.0.0 - 14 November 2015 - Initial commit of Caffe deep learning framework and with this benchmark using the AlexNet model for benchmarking.

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v6.0.0m6-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>http://www.phoronix-test-suite.com/benchmark-files/caffe-20151114.tar.bz2</URL>
      <MD5>16df6a70aa82a70d00d887d5a43393d8</MD5>
      <SHA256>9264543ed535368edc16a98c15e0605586774b8d282e2c7c5ef79b1e5b426afe</SHA256>
      <FileSize>6913199</FileSize>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/sh

# Not all of these dependencies below may be covered automatically by PTS
# sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
# sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev libatlas-base-dev
# sudo apt-get install --no-install-recommends libboost-all-dev

rm -rf caffe-git
tar -xjvf caffe-20151114.tar.bz2
cd caffe-git

if [ -d /usr/local/cuda ]
then
	PATH="/usr/local/cuda/bin:$PATH"
	LD_LIBRARY_PATH=/usr/local/cuda/lib:$LD_LIBRARY_PATH
fi

if which nvcc >/dev/null 2>&1 ;
then
	cp -f Makefile.config.nvidia Makefile.config
	make -j$NUM_CPU_CORES all
fi

cp -f Makefile.config.cpu Makefile.config
make -j$NUM_CPU_CORES all
echo $? > ~/install-exit-status

cd ~/
echo "#!/bin/sh
cd caffe-git
export LD_LIBRARY_PATH=/usr/local/cuda/lib:\$LD_LIBRARY_PATH
./\$@ > \$LOG_FILE 2>&1
echo \$? > ~/test-exit-status" > caffe
chmod +x caffe

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v6.0.0m6-->
<PhoronixTestSuite>
  <ResultsParser>
    <OutputTemplate>I1114 20:10:12.401626 25345 caffe.cpp:372] Total Time: #_RESULT_# ms.</OutputTemplate>
    <LineHint>Total Time</LineHint>
  </ResultsParser>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v6.0.0m6-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>Caffe AlexNet</Title>
    <AppVersion>2015-11-14</AppVersion>
    <Description>This is a benchmark of the Caffe deep learning framework and currently uses the AlexNet model.</Description>
    <ResultScale>Milli-Seconds</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.0.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Benchmark</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>build-utilities, cuda, python, blas-development, boost-development, atlas-development</ExternalDependencies>
    <EnvironmentSize>100</EnvironmentSize>
    <ProjectURL>http://caffe.berkeleyvision.org/</ProjectURL>
    <InternalTags>CUDA, SMP</InternalTags>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
  <TestSettings>
    <Option>
      <DisplayName>Build</DisplayName>
      <Identifier>build</Identifier>
      <ArgumentPrefix></ArgumentPrefix>
      <ArgumentPostfix></ArgumentPostfix>
      <DefaultEntry>0</DefaultEntry>
      <Menu>
        <Entry>
          <Name>CUDA</Name>
          <Value>./build-nvidia/tools/caffe time --model=models/bvlc_alexnet/deploy.prototxt  -gpu 0 -iterations 100</Value>
          <Message></Message>
        </Entry>
        <Entry>
          <Name>CPU Only</Name>
          <Value>./build-cpu/tools/caffe time --model=models/bvlc_alexnet/deploy.prototxt -iterations 100</Value>
          <Message></Message>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>