#!/bin/bash # Regularized Evolution for Image Classifier Architecture Search, AAAI 2019 # bash ./scripts-search/NAS-Bench-201-algos/R-EA.sh cifar10 3 -1 echo script name: $0 echo $# arguments if [ "$#" -ne 3 ] ;then echo "Input illegal number of parameters " $# echo "Need 3 parameters for the-dataset-name, the-ea-sample-size and the-seed" exit 1 fi if [ "$TORCH_HOME" = "" ]; then echo "Must set TORCH_HOME envoriment variable for data dir saving" exit 1 else echo "TORCH_HOME : $TORCH_HOME" fi #dataset=cifar10 dataset=$1 sample_size=$2 seed=$3 channel=16 num_cells=5 max_nodes=4 space=nas-bench-201 #benchmark_file=${TORCH_HOME}/NAS-Bench-201-v1_0-e61699.pth benchmark_file=${TORCH_HOME}/NAS-Bench-201-v1_1-096897.pth save_dir=./output/search-cell-${space}/R-EA-${dataset}-SS${sample_size} OMP_NUM_THREADS=4 python ./exps/NAS-Bench-201-algos/R_EA.py \ --save_dir ${save_dir} --max_nodes ${max_nodes} --channel ${channel} --num_cells ${num_cells} \ --dataset ${dataset} \ --search_space_name ${space} \ --arch_nas_dataset ${benchmark_file} \ --time_budget 12000 \ --ea_cycles 200 --ea_population 10 --ea_sample_size ${sample_size} --ea_fast_by_api 1 \ --workers 4 --print_freq 200 --rand_seed ${seed}