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update NAS-Bench

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This commit is contained in:
D-X-Y
2020-03-09 19:38:00 +11:00
parent 9a83814a46
commit e59eb804cb
35 changed files with 693 additions and 64 deletions
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38
scripts-search/NASNet-space-search-by-GDAS.sh Normal file
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#!/bin/bash
# bash ./scripts-search/NASNet-space-search-by-GDAS.sh cifar10 1 -1
echo script name: $0
echo $# arguments
if [ "$#" -ne 3 ] ;then
echo "Input illegal number of parameters " $#
echo "Need 3 parameters for dataset, track_running_stats, and seed"
exit 1
fi
if [ "$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
track_running_stats=$2
seed=$3
space=darts
if [ "$dataset" == "cifar10" ] || [ "$dataset" == "cifar100" ]; then
data_path="$TORCH_HOME/cifar.python"
else
data_path="$TORCH_HOME/cifar.python/ImageNet16"
fi
save_dir=./output/search-cell-${space}/GDAS-${dataset}-BN${track_running_stats}
OMP_NUM_THREADS=4 python ./exps/algos/GDAS.py \
--save_dir ${save_dir} \
--dataset ${dataset} --data_path ${data_path} \
--search_space_name ${space} \
--config_path configs/search-opts/GDAS-NASNet-CIFAR.config \
--model_config configs/search-archs/GDAS-NASNet-CIFAR.config \
--tau_max 10 --tau_min 0.1 --track_running_stats ${track_running_stats} \
--arch_learning_rate 0.0003 --arch_weight_decay 0.001 \
--workers 4 --print_freq 200 --rand_seed ${seed}

40
scripts-search/NASNet-space-search-by-SETN.sh Normal file
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#!/bin/bash
# bash ./scripts-search/NASNet-space-search-by-SETN.sh cifar10 1 -1
# [TO BE DONE]
echo script name: $0
echo $# arguments
if [ "$#" -ne 3 ] ;then
echo "Input illegal number of parameters " $#
echo "Need 3 parameters for dataset, track_running_stats, and seed"
exit 1
fi
if [ "$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
track_running_stats=$2
seed=$3
space=darts
if [ "$dataset" == "cifar10" ] || [ "$dataset" == "cifar100" ]; then
data_path="$TORCH_HOME/cifar.python"
else
data_path="$TORCH_HOME/cifar.python/ImageNet16"
fi
save_dir=./output/search-cell-${space}/SETN-${dataset}-BN${track_running_stats}
OMP_NUM_THREADS=4 python ./exps/algos/SETN.py \
--save_dir ${save_dir} \
--dataset ${dataset} --data_path ${data_path} \
--search_space_name ${space} \
--config_path configs/search-opts/SETN-NASNet-CIFAR.config \
--model_config configs/search-archs/SETN-NASNet-CIFAR.config \
--track_running_stats ${track_running_stats} \
--select_num 1000 \
--arch_learning_rate 0.0003 --arch_weight_decay 0.001 \
--workers 4 --print_freq 200 --rand_seed ${seed}

44
scripts-search/X-X/train-shapes.sh Normal file
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#!/bin/bash
#####################################################
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.01 #
#####################################################
# [mars6] CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/X-X/train-shapes.sh 00000-05000 12 777
# [mars6] bash ./scripts-search/X-X/train-shapes.sh 05001-10000 12 777
# [mars20] bash ./scripts-search/X-X/train-shapes.sh 10001-14500 12 777
# [mars20] bash ./scripts-search/X-X/train-shapes.sh 14501-19500 12 777
# bash ./scripts-search/X-X/train-shapes.sh 19501-23500 12 777
# bash ./scripts-search/X-X/train-shapes.sh 23501-27500 12 777
# bash ./scripts-search/X-X/train-shapes.sh 27501-30000 12 777
# bash ./scripts-search/X-X/train-shapes.sh 30001-32767 12 777
#
echo script name: $0
echo $# arguments
if [ "$#" -ne 3 ] ;then
echo "Input illegal number of parameters " $#
echo "Need 3 parameters for start-and-end, hyper-parameters-opt-file, and seeds"
exit 1
fi
if [ "$TORCH_HOME" = "" ]; then
echo "Must set TORCH_HOME envoriment variable for data dir saving"
exit 1
else
echo "TORCH_HOME : $TORCH_HOME"
fi
srange=$1
opt=$2
all_seeds=$3
cpus=4
save_dir=./output/NAS-BENCH-202/
OMP_NUM_THREADS=${cpus} python exps/NAS-Bench-201/xshapes.py \
--mode new --srange ${srange} --hyper ${opt} --save_dir ${save_dir} \
--datasets cifar10 cifar10 cifar100 ImageNet16-120 \
--splits 1 0 0 0 \
--xpaths $TORCH_HOME/cifar.python \
$TORCH_HOME/cifar.python \
$TORCH_HOME/cifar.python \
$TORCH_HOME/cifar.python/ImageNet16 \
--workers ${cpus} \
--seeds ${all_seeds}