xautodl/scripts-search/NAS-Bench-201-algos/R-EA.sh

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