Tests
Suites
Latest Results
Search
Register
Login
Popular Tests
Timed Linux Kernel Compilation
7-Zip Compression
Blender
SVT-AV1
FFmpeg
Hashcat
Newest Tests
XNNPACK
GROMACS
Stockfish
POV-Ray
GraphicsMagick
7-Zip Compression
Recently Updated Tests
simdjson
LeelaChessZero
Mobile Neural Network
Y-Cruncher
Etcpak
Unigine Heaven
New & Recently Updated Tests
Recently Updated Suites
Machine Learning
Database Test Suite
Steam
New & Recently Updated Suites
Component Benchmarks
CPUs / Processors
GPUs / Graphics
OpenGL
Disks / Storage
Motherboards
File-Systems
Operating Systems
OpenBenchmarking.org
Corporate / Organization Info
Bug Reports / Feature Requests
TNN 1.0.0
pts/tnn-1.0.0
- 24 September 2020 -
Initial commit of Tencent TNN framework.
downloads.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.0.0m2--> <PhoronixTestSuite> <Downloads> <Package> <URL>https://github.com/Tencent/TNN/archive/v0.2.3.tar.gz</URL> <MD5>7cde1553c68943dd998bd21ce3395d7a</MD5> <SHA256>ea710a5e3a92e7c6f87edc4f9e89851c58c88f3cc28337b343fdd78dc09b1c73</SHA256> <FileName>TNN-0.2.3.tar.gz</FileName> <FileSize>17136288</FileSize> </Package> </Downloads> </PhoronixTestSuite>
install.sh
#!/bin/sh tar -xf TNN-0.2.3.tar.gz cd TNN-0.2.3/ mkdir build cd build cmake .. -DTNN_TEST_ENABLE=ON -DTNN_CPU_ENABLE=ON -DCMAKE_BUILD_TYPE=Release -DTNN_BENCHMARK_MODE=ON -DTNN_OPENMP_ENABLE=ON -DTNN_OPENCL_ENABLE=OFF make -j $NUM_CPU_CORES echo $? > ~/install-exit-status cd ~/ cat>tnn<<EOT #!/bin/sh cd TNN-0.2.3/build/ ./test/TNNTest -wc 10 -ic 60 -th \$NUM_CPU_CORES 0 -mt TNN \$@ > \$LOG_FILE 2>&1 echo \$? > ~/test-exit-status EOT chmod +x tnn
results-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.0.0m2--> <PhoronixTestSuite> <ResultsParser> <OutputTemplate>squeezenet_v1.0.tnnproto time cost: min = #_MIN_RESULT_# ms | max = #_MAX_RESULT_# ms | avg = #_RESULT_# ms </OutputTemplate> <LineHint>time cost:</LineHint> </ResultsParser> </PhoronixTestSuite>
test-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.0.0m2--> <PhoronixTestSuite> <TestInformation> <Title>TNN</Title> <AppVersion>0.2.3</AppVersion> <Description>TNN is an open-source deep learning reasoning framework developed by Tencent.</Description> <ResultScale>ms</ResultScale> <Proportion>LIB</Proportion> <TimesToRun>3</TimesToRun> </TestInformation> <TestProfile> <Version>1.0.0</Version> <SupportedPlatforms>Linux</SupportedPlatforms> <SoftwareType>Scientific</SoftwareType> <TestType>System</TestType> <License>Free</License> <Status>Verified</Status> <ExternalDependencies>cmake, build-utilities</ExternalDependencies> <EnvironmentSize>65</EnvironmentSize> <ProjectURL>https://github.com/Tencent/TNN</ProjectURL> <Maintainer>Michael Larabel</Maintainer> </TestProfile> <TestSettings> <Option> <DisplayName>Target</DisplayName> <Identifier>target</Identifier> <ArgumentPrefix>-dt </ArgumentPrefix> <Menu> <Entry> <Name>CPU</Name> <Value>NAIVE</Value> </Entry> </Menu> </Option> <Option> <DisplayName>Model</DisplayName> <Identifier>model</Identifier> <ArgumentPrefix>-mp </ArgumentPrefix> <Menu> <Entry> <Name>MobileNet v2</Name> <Value>../benchmark/benchmark-model/mobilenet_v2.tnnproto</Value> </Entry> <Entry> <Name>SqueezeNet v1.1</Name> <Value>../benchmark/benchmark-model/squeezenet_v1.1.tnnproto</Value> </Entry> </Menu> </Option> </TestSettings> </PhoronixTestSuite>