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PlaidML 1.0.2
pts/plaidml-1.0.2
- 11 January 2019 -
Always set --user for pip3 to avoid issues on some distros.
install.sh
#!/bin/bash if which pip3>/dev/null 2>&1 ; then echo 0 > ~/install-exit-status else echo "ERROR: Python pip3 is not found on the system! This test profile needs Python pip3 to proceed." echo 2 > ~/install-exit-status fi pip3 install --user plaidml-keras plaidbench if [[ ! -x "$HOME/.local/bin/plaidml-setup" ]] then echo "ERROR: PlaidML failed to install on the system!" echo 2 > ~/install-exit-status fi echo "#!/bin/bash TARGET_DEVICE=\`echo \"\$@\" | awk '{print \$NF}'\` if [ \$TARGET_DEVICE = \"CPU\" ] then TARGET_DEVICE=\"llvm_cpu.0\" elif [ \$TARGET_DEVICE = \"OPENCL\" ] then TARGET_DEVICE=\`echo n | ~/.local/bin/plaidml-setup 2>/dev/null | grep opencl | head -n 1 | awk '{print \$1;}'\` fi echo \"{ \\\"PLAIDML_DEVICE_IDS\\\":[ \\\"\$TARGET_DEVICE\\\" ], \\\"PLAIDML_EXPERIMENTAL\\\":true, \\\"PLAIDML_TELEMETRY\\\":false }\" > \$HOME/.plaidml ARGS=\`echo \"\$@\" | awk '{\$NF=\"\";sub(/[ \t]+$/,\"\")}1'\` \$HOME/.local/bin/plaidbench \$ARGS > \$LOG_FILE 2>&1 echo \$? > ~/test-exit-status" > plaidml chmod +x plaidml
results-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v8.6.0m1--> <PhoronixTestSuite> <ResultsParser> <OutputTemplate>Example finished, elapsed: 4.180670499801636 (compile), #_RESULT_# (execution), 0.19512354186736047 (execution per example)</OutputTemplate> <LineHint>Example finished</LineHint> <DivideResultDivisor>2048</DivideResultDivisor> </ResultsParser> </PhoronixTestSuite>
test-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v8.6.0m1--> <PhoronixTestSuite> <TestInformation> <Title>PlaidML</Title> <Description>This test profile uses PlaidML deep learning framework for offering up various benchmarks.</Description> <ResultScale>Examples Per Second</ResultScale> <Proportion>HIB</Proportion> <TimesToRun>3</TimesToRun> </TestInformation> <TestProfile> <Version>1.0.2</Version> <SupportedPlatforms>Linux, BSD, MacOSX</SupportedPlatforms> <SoftwareType>Utility</SoftwareType> <TestType>Graphics</TestType> <License>Restricted</License> <Status>Verified</Status> <ExternalDependencies>python, opencl</ExternalDependencies> <RequiresDisplay>TRUE</RequiresDisplay> <RequiresInternet>TRUE</RequiresInternet> <EnvironmentSize>1</EnvironmentSize> <ProjectURL>https://github.com/plaidml/plaidml</ProjectURL> <InternalTags>CUDA, OpenCL</InternalTags> <Maintainer>Michael Larabel</Maintainer> </TestProfile> <TestSettings> <Default> <Arguments>--examples 2048 --batch-size 16 keras </Arguments> </Default> <Option> <DisplayName>FP16</DisplayName> <Identifier>fp16</Identifier> <Menu> <Entry> <Name>Yes</Name> <Value>--fp16</Value> </Entry> <Entry> <Name>No</Name> <Value>--no-fp16</Value> </Entry> </Menu> </Option> <Option> <DisplayName>Mode</DisplayName> <Identifier>Mode</Identifier> <Menu> <Entry> <Name>Training</Name> <Value>--train</Value> </Entry> <Entry> <Name>Inference</Name> <Value>--no-train</Value> </Entry> </Menu> </Option> <Option> <DisplayName>Network</DisplayName> <Identifier>net</Identifier> <Menu> <Entry> <Name>Mobilenet</Name> <Value>mobilenet</Value> </Entry> <Entry> <Name>Inception V3</Name> <Value>inception_v3</Value> </Entry> <Entry> <Name>ResNet 50</Name> <Value>resnet50</Value> </Entry> <Entry> <Name>NASNer Large</Name> <Value>nasnet_large</Value> </Entry> <Entry> <Name>DenseNet 201</Name> <Value>densenet201</Value> </Entry> <Entry> <Name>IMDB LSTM</Name> <Value>imdb_lstm</Value> </Entry> <Entry> <Name>VGG16</Name> <Value>vgg16</Value> </Entry> <Entry> <Name>VGG19</Name> <Value>vgg19</Value> </Entry> </Menu> </Option> <Option> <DisplayName>Device</DisplayName> <Identifier>device</Identifier> <Menu> <Entry> <Name>CPU</Name> <Value>CPU</Value> </Entry> <Entry> <Name>OpenCL</Name> <Value>OPENCL</Value> </Entry> </Menu> </Option> </TestSettings> </PhoronixTestSuite>