TensorFlow 2.2.0

pts/tensorflow-2.2.0 - 26 March 2024 - Update against TensorFlow 2.16.1 upstream.

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>https://github.com/tensorflow/benchmarks/archive/8fb79079265933ad39bea628b777af662f5bf15d.zip</URL>
      <MD5>96ac137706756a32155851a789bb355e</MD5>
      <SHA256>cc1a136e503e4958431e622eb0125664fb6a3ee7d59501a456235b6617b10ad4</SHA256>
      <FileName>tensorflow-benchmarks-8fb79079265933ad39bea628b777af662f5bf15d.zip</FileName>
      <FileSize>1005010</FileSize>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/sh
pip3 install --user tensorflow-cpu==2.16.1
echo $? > ~/install-exit-status
unzip -o tensorflow-benchmarks-8fb79079265933ad39bea628b777af662f5bf15d.zip
# Compatibility workarounds for TensorFlow 2.16...
sed -i '126d' benchmarks-8fb79079265933ad39bea628b777af662f5bf15d/scripts/tf_cnn_benchmarks/models/experimental/deepspeech.py
sed -i '126d' benchmarks-8fb79079265933ad39bea628b777af662f5bf15d/scripts/tf_cnn_benchmarks/models/experimental/deepspeech.py
sed -i '126d' benchmarks-8fb79079265933ad39bea628b777af662f5bf15d/scripts/tf_cnn_benchmarks/models/experimental/deepspeech.py
sed -i 's/use_tf_layers = use_tf_layers/use_tf_layers = False/g' benchmarks-8fb79079265933ad39bea628b777af662f5bf15d/scripts/tf_cnn_benchmarks/convnet_builder.py
echo "#!/bin/sh
cd benchmarks-8fb79079265933ad39bea628b777af662f5bf15d/scripts/tf_cnn_benchmarks/
python3 tf_cnn_benchmarks.py \$@ > \$LOG_FILE 2>&1
echo \$? > ~/test-exit-status" > tensorflow
chmod +x tensorflow

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <ResultsParser>
    <OutputTemplate>total images/sec: #_RESULT_#</OutputTemplate>
  </ResultsParser>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>TensorFlow</Title>
    <AppVersion>2.16.1</AppVersion>
    <Description>This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics.</Description>
    <ResultScale>images/sec</ResultScale>
    <Proportion>HIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>2.2.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Benchmark</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>python</ExternalDependencies>
    <EnvironmentSize>1300</EnvironmentSize>
    <ProjectURL>https://www.tensorflow.org/</ProjectURL>
    <RepositoryURL>https://github.com/tensorflow/tensorflow</RepositoryURL>
    <InternalTags>SMP</InternalTags>
    <Maintainer>Michael Larabel</Maintainer>
    <SystemDependencies>pip3</SystemDependencies>
  </TestProfile>
  <TestSettings>
    <Default>
      <Arguments>--data_format=NHWC </Arguments>
    </Default>
    <Option>
      <DisplayName>Device</DisplayName>
      <Identifier>device</Identifier>
      <ArgumentPrefix>--device </ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>CPU</Name>
          <Value>cpu</Value>
        </Entry>
        <Entry>
          <Name>GPU</Name>
          <Value>gpu</Value>
        </Entry>
      </Menu>
    </Option>
    <Option>
      <DisplayName>Batch Size</DisplayName>
      <Identifier>batch-size</Identifier>
      <ArgumentPrefix>--batch_size=</ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>1</Name>
          <Value>1</Value>
        </Entry>
        <Entry>
          <Name>16</Name>
          <Value>16</Value>
        </Entry>
        <Entry>
          <Name>32</Name>
          <Value>32</Value>
        </Entry>
        <Entry>
          <Name>64</Name>
          <Value>64</Value>
        </Entry>
        <Entry>
          <Name>256</Name>
          <Value>256</Value>
        </Entry>
        <Entry>
          <Name>512</Name>
          <Value>512</Value>
        </Entry>
      </Menu>
    </Option>
    <Option>
      <DisplayName>Model</DisplayName>
      <Identifier>Model</Identifier>
      <ArgumentPrefix>--model=</ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>VGG-16</Name>
          <Value>vgg16</Value>
        </Entry>
        <Entry>
          <Name>ResNet-50</Name>
          <Value>resnet50</Value>
        </Entry>
        <Entry>
          <Name>AlexNet</Name>
          <Value>alexnet</Value>
        </Entry>
        <Entry>
          <Name>GoogLeNet</Name>
          <Value>googlenet</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>