#!/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}