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updated offline_test to automate #13
base: aws
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update run_mlperf.sh for aws compatibility (dlrm 99.9)
additional changes for aws compatibility (retinanet)
Yuning_PR_resnet50_AWS
merge Resnet50 branch
merge 3dunet branch
merge Dlrm branch
merge Retinanet branch
merge all instructions to one README file
Modify the settings to support ICX on AWS
Update user.conf to reduce running time
cd resnet50/pytorch-cpu/ || return | ||
chmod +x run_offline_accuracy.sh | ||
chmod +x run_offline.sh | ||
../../run_docker.sh a17e4ea194cc /workspace/run_offline_accuracy.sh /opt/workdir/code/resnet50/pytorch-cpu aws_rn50 resnet50_acc.txt |
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the docker image number will be different among different docker pull, so might be better to use docker image name like intel/intel-optimized-pytorch:mlperf-inference-2.1-3dunet directly.
cd dlrm-99.9/pytorch-cpu/ || return | ||
chmod +x run_offline_accuracy.sh | ||
chmod +x run_offline.sh | ||
../../run_docker.sh 038cf950d509 /workspace/run_offline_accuracy.sh /opt/workdir/code/dlrm-99.9/pytorch-cpu aws_dlrm dlrm_acc.txt |
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same here to use docker image name instead.
cd retinanet/pytorch-cpu/ || return | ||
chmod +x run_offline_accuracy.sh | ||
chmod +x run_offline.sh | ||
../../run_docker.sh 5dfdb372208a /workspace/run_offline_accuracy.sh /opt/workdir/code/retinanet/pytorch-cpu aws_ret retinanet_acc.txt |
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same here to use docker image name instead.
echo "Running container for model: 3d-unet-99.9" | ||
cd 3d-unet-99.9/pytorch-cpu-kits19/ || return | ||
chmod +x run_offline.sh | ||
../../run_docker.sh ce03546c4d75 /workspace/run_offline.sh /opt/workdir/code/3d-unet-99.9/pytorch-cpu-kits19 aws_3dunet 3dunet_acc.txt env_acc.list |
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same here to use docker image name instead.
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