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ResNet50_amp_O2_ultra.yaml is not used by default.
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@ -199,11 +199,6 @@ for batch_size in ${batch_size_list[*]}; do
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gpu_id=$(set_gpu_id $device_num)
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# It is needed that using dali, NHWC and 4 channels when training ResNet50 with AMPO2
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if [[ $model_name == "ResNet50" && $precision == "fp16" ]]; then
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sed -i "s/ResNet50.yaml/ResNet50_amp_O2_ultra.yaml/g" $FILENAME
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fi
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# if bs is big, then copy train_list.txt to generate more train log
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# At least 25 log number would be good to calculate ips for benchmark system.
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# So the copy number for train_list is as follows:
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