PaddleClas/tools/run_dali.sh

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#!/usr/bin/env bash
export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
export FLAGS_fraction_of_gpu_memory_to_use=0.80
python -m paddle.distributed.launch \
--selected_gpus="0,1,2,3,4,5,6,7" \
tools/train.py \
-c ./configs/ResNet/ResNet50.yaml \
-o print_interval=10 \
-o use_dali=true