This is a fork of the original library to be able to be run on Hikey 970 board using a makefile on top of scons.
Instructions
- Run
make releasefor compiling a release build.make debugmakes a debug build andmake allbuilds both. - After that
export LD_LIBRARY_PATH=./build/releaseto set library path for release build, similarly for debug build. - For running specific examples
./build/release/graph_alexnet <parameters>
Utilizing multiple cores
| Target | Command |
|---|---|
| Small Cores | taskset -c 0-3 ./graph_alexnet --threads=4 --target=NEON |
| Big Cores | taskset -c 4-7 ./graph_alexnet --threads=4 --target=NEON |
| All Cores | taskset -c 0-7 ./graph_alexnet --threads=8 --target=NEON |
| GPU | taskset -c 0-3 ./graph_alexnet--target=CL |
CPU+GPU Utilization
There was a python wrapper (the last version of file before being removed) for utilizing both CPU and GPU but it has been superseeded by modifications to individual graphs named graph_alexnet_2, graph_googlenet_2, graph_mobilenet_2, graph_resnet50_2, graph_squeezenet_2. They can be run using:
./graph_alexnet_2 [--cpu] [--gpu] [--n=N] [--i=I]
where --cpu and -gpu selects target combinations and n are the total images, i the total inferences per image.
Performance Modeling
This is done via perf.py and results in perf_results folder. Results can be found in perf_cache.dat. It runs performance modeling for graphs and targets with n and i values looped. It uses the curve fitting function and caches in perf_cache.dat and finally plotting in perf_results.
Temperature Modeling
This is done via temp.py and results in temp_results folder. Results can be found in temp_results.log. Similar to performance modeling it loops over graphs and targets and uses curve fitting function to plot a fit along with the threshold temperature 65000. Finally resultant plots are plotted in temp_plots. temp_results.log was manually created by piping the results of temp.py