AMD ZenDNN TensorFlow 1.0.0

pts/zendnn-tensorflow-1.0.0 - 28 April 2023 - Add AMD ZenDNN optimized TensorFlow

downloads.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <Downloads>
    <Package>
      <URL>https://www.xilinx.com/bin/public/openDownload?filename=tf_resnetv1_50_imagenet_224_224_6.97G_1.1_Z4.0.zip</URL>
      <MD5>2d9f3456e7e510e24ee8a42619f619df</MD5>
      <SHA256>ac93a6be5956aa863ff07fa7fc45927e6f33afb7daadc35922425ef3e4e2a57c</SHA256>
      <FileName>tf_resnetv1_50_imagenet_224_224_6.97G_1.1_Z4.0.zip</FileName>
      <FileSize>190235494</FileSize>
    </Package>
    <Package>
      <URL>https://www.xilinx.com/bin/public/openDownload?filename=tf_inceptionv4_imagenet_299_299_24.55G_1.1_Z4.0.zip</URL>
      <MD5>2a053598830417af4628cca4ffcd60e5</MD5>
      <SHA256>615779bd3fda004c59085692ed5ac0dea2ade9ca3c827f38f8d13451d020fd1b</SHA256>
      <FileName>tf_inceptionv4_imagenet_299_299_24.55G_1.1_Z4.0.zip</FileName>
      <FileSize>317362920</FileSize>
    </Package>
    <Package>
      <URL>https://www.xilinx.com/bin/public/openDownload?filename=tf_mobilenetv1_1.0_imagenet_224_224_1.14G_1.1_Z4.0.zip</URL>
      <MD5>a60a31eb39484b971bb3583ab8121540</MD5>
      <SHA256>0d4d28c01098c9ae79d5a884494d7db90b8a850581b83472e6dbbb4f6243a7f8</SHA256>
      <FileName>tf_mobilenetv1_1.0_imagenet_224_224_1.14G_1.1_Z4.0.zip</FileName>
      <FileSize>31519212</FileSize>
    </Package>
    <Package>
      <MD5>d0b17b669fe9385bc643d988fd075598</MD5>
      <SHA256>2c9778612f000afc2c00e05fd5b1f68c9517b77702aef8076570a064ff2a94c8</SHA256>
      <FileName>TF_v2.10_ZenDNN_v4.0_Python_v3.10.zip</FileName>
      <FileSize>252041594</FileSize>
    </Package>
  </Downloads>
</PhoronixTestSuite>

install.sh

#!/bin/sh
unzip -o TF_v2.10_ZenDNN_v4.0_Python_v3.10.zip
cd TF_v2.10_ZenDNN_v4.0_Python_v3.10
sed -i 's/sudo / /g' scripts/gather_hw_os_kernel_bios_info.sh #Avoid prompting for sudo for extra info...
sed -i 's/python -m pip install/pip3 install --user/g' scripts/TF_ZenDNN_setup_release.sh
source scripts/TF_ZenDNN_setup_release.sh
cd ~
unzip -o tf_resnetv1_50_imagenet_224_224_6.97G_1.1_Z4.0.zip
unzip -o tf_inceptionv4_imagenet_299_299_24.55G_1.1_Z4.0.zip
unzip -o tf_mobilenetv1_1.0_imagenet_224_224_1.14G_1.1_Z4.0.zip
echo "#!/bin/bash
cd TF_v2.10_ZenDNN_v4.0_Python_v3.10
source scripts/TF_ZenDNN_setup_release.sh

cd ~/\$1
bash run_bench.sh \$NUM_CPU_PHYSICAL_CORES \$2 > \$LOG_FILE 2>&1
echo \$? > ~/test-exit-status" > zendnn-tensorflow
chmod +x zendnn-tensorflow

results-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <ResultsParser>
    <OutputTemplate>resnet50v1_5: Throughput: #_RESULT_# images/sec</OutputTemplate>
    <LineHint>Throughput:</LineHint>
    <ResultScale>images/sec</ResultScale>
    <ResultProportion>HIB</ResultProportion>
  </ResultsParser>
  <ResultsParser>
    <OutputTemplate>resnet50v1_5: Latency: #_RESULT_# ms</OutputTemplate>
    <LineHint>Latency:</LineHint>
    <ResultScale>ms</ResultScale>
    <ResultProportion>LIB</ResultProportion>
  </ResultsParser>
</PhoronixTestSuite>

test-definition.xml

<?xml version="1.0"?>
<!--Phoronix Test Suite v10.8.4-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>AMD ZenDNN TensorFlow</Title>
    <AppVersion>2.10 ZenDNN 4.0</AppVersion>
    <Description>AMD ZenDNN optimized version of TensorFlow with various AMD UIF models. For this test profile to work you must first download TF_v2.10_ZenDNN_v4.0_Python_v3.10.zip from https://www.amd.com/en/developer/zendnn.html and put it in your Phoronix Test Suite download cache.</Description>
    <ResultScale>images/sec</ResultScale>
    <Proportion>HIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.0.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Utility</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>python, build-utilities</ExternalDependencies>
    <EnvironmentSize>1800</EnvironmentSize>
    <ProjectURL>https://www.amd.com/en/developer/zendnn.html</ProjectURL>
    <RepositoryURL>https://github.com/amd/UIF</RepositoryURL>
    <Maintainer>Michael Larabel</Maintainer>
    <SystemDependencies>numactl</SystemDependencies>
  </TestProfile>
  <TestSettings>
    <Option>
      <DisplayName>Model</DisplayName>
      <Identifier>model</Identifier>
      <Menu>
        <Entry>
          <Name>tf_resnetv1_50_imagenet_224_224_6.97G_1.1_Z4.0</Name>
          <Value>tf_resnetv1_50_imagenet_224_224_6.97G_1.1_Z4.0</Value>
        </Entry>
        <Entry>
          <Name>tf_inceptionv4_imagenet_299_299_24.55G_1.1_Z4.0</Name>
          <Value>tf_inceptionv4_imagenet_299_299_24.55G_1.1_Z4.0</Value>
        </Entry>
        <Entry>
          <Name>tf_mobilenetv1_1.0_imagenet_224_224_1.14G_1.1_Z4.0</Name>
          <Value>tf_mobilenetv1_1.0_imagenet_224_224_1.14G_1.1_Z4.0</Value>
        </Entry>
      </Menu>
    </Option>
    <Option>
      <DisplayName>Batch Size</DisplayName>
      <Identifier>batch-size</Identifier>
      <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>96</Name>
          <Value>96</Value>
        </Entry>
        <Entry>
          <Name>256</Name>
          <Value>256</Value>
        </Entry>
        <Entry>
          <Name>512</Name>
          <Value>512</Value>
        </Entry>
        <Entry>
          <Name>960</Name>
          <Value>960</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>