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| Name | Name | Last commit date | ||
|---|---|---|---|---|
git clone https://github.com/blkswanio/mlperf-benchmarks
cd mlperf-benchmarks/ ./install_cuda_docker.sh
pip install popper
You can also install it in a virtualenv.
cd object_detection/ popper run -f main.yml -c settings.py
cd sentiment_analysis/ popper run -f main.yml -c settings.py
cd single_stage_detector/ popper run -f main.yml -c settings.py
cd rnn_translator/ popper run -f main.yml -c settings.py
cd translation/ popper run -f main.yml -c settings.py
results/
|----- ssd/
| |--result_1.txt
| |--result_2.txt
| |--result_3.txt
| |--result_4.txt
| |--result_5.txt
|----- maskrcnn/
|----- gnmt/
|----- transformer/
|----- systems/
|--system_details.json
On running the benchmarks, a directory structure like the one above would be generated in the root of the repository.
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