Move algos to NAS-Bench-201-algos

scripts-search/NAS-Bench-201-algos/ENAS.sh

@@ -0,0 +1,48 @@
+#!/bin/bash
+# Efficient Neural Architecture Search via Parameter Sharing, ICML 2018
+# bash ./scripts-search/NAS-Bench-201-algos/ENAS.sh cifar10 0 -1
+echo script name: $0
+echo $# arguments
+if [ "$#" -ne 3 ] ;then
+  echo "Input illegal number of parameters " $#
+  echo "Need 3 parameters for dataset, BN-tracking-status, and seed"
+  exit 1
+fi
+if [ "$TORCH_HOME" = "" ]; then
+  echo "Must set TORCH_HOME envoriment variable for data dir saving"
+  exit 1
+else
+  echo "TORCH_HOME : $TORCH_HOME"
+fi
+
+dataset=$1
+BN=$2
+seed=$3
+channel=16
+num_cells=5
+max_nodes=4
+space=nas-bench-201
+
+if [ "$dataset" == "cifar10" ] || [ "$dataset" == "cifar100" ]; then
+  data_path="$TORCH_HOME/cifar.python"
+else
+  data_path="$TORCH_HOME/cifar.python/ImageNet16"
+fi
+#benchmark_file=${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}/ENAS-${dataset}-BN${BN}
+
+OMP_NUM_THREADS=4 python ./exps/NAS-Bench-201-algos/ENAS.py \
+	--save_dir ${save_dir} --max_nodes ${max_nodes} --channel ${channel} --num_cells ${num_cells} \
+	--dataset ${dataset} --data_path ${data_path} \
+	--search_space_name ${space} \
+	--arch_nas_dataset ${benchmark_file} \
+	--track_running_stats ${BN} \
+	--config_path ./configs/nas-benchmark/algos/ENAS.config \
+	--controller_entropy_weight 0.0001 \
+	--controller_bl_dec 0.99 \
+	--controller_train_steps 50 \
+	--controller_num_aggregate 20 \
+	--controller_num_samples 100 \
+	--workers 4 --print_freq 200 --rand_seed ${seed}