This commit is contained in:
HamsterMimi
2023-05-04 13:09:03 +08:00
commit 189df25fd3
207 changed files with 242887 additions and 0 deletions

39
exp_scripts/eval-c100.sh Normal file
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#!/bin/bash
script_name=`basename "$0"`
id=${script_name%.*}
dataset=${dataset:-cifar100}
seed=${seed:-2}
gpu=${gpu:-"auto"}
arch=${arch:-"none"}
batch_size=${batch_size:-96}
learning_rate=${learning_rate:-0.025}
resume_expid=${resume_expid:-'none'}
resume_epoch=${resume_epoch:-0}
while [ $# -gt 0 ]; do
if [[ $1 == *"--"* ]]; then
param="${1/--/}"
declare $param="$2"
# echo $1 $2 // Optional to see the parameter:value result
fi
shift
done
echo 'id:' $id
echo 'seed:' $seed
echo 'dataset:' $dataset
echo 'gpu:' $gpu
echo 'arch:' $arch
echo 'batch_size:' $batch_size
echo 'learning_rate:' $learning_rate
cd ../sota/cnn
python train.py \
--arch $arch \
--dataset $dataset \
--auxiliary --cutout \
--seed $seed --save $id --gpu $gpu \
--batch_size $batch_size --learning_rate $learning_rate \
--resume_expid $resume_expid --resume_epoch $resume_epoch \
--init_channels 16 --layers 8 \

38
exp_scripts/eval.sh Normal file
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#!/bin/bash
script_name=`basename "$0"`
id=${script_name%.*}
dataset=${dataset:-cifar10}
seed=${seed:-2}
gpu=${gpu:-"auto"}
arch=${arch:-"none"}
batch_size=${batch_size:-96}
learning_rate=${learning_rate:-0.025}
resume_expid=${resume_expid:-'none'}
resume_epoch=${resume_epoch:-0}
while [ $# -gt 0 ]; do
if [[ $1 == *"--"* ]]; then
param="${1/--/}"
declare $param="$2"
# echo $1 $2 // Optional to see the parameter:value result
fi
shift
done
echo 'id:' $id
echo 'seed:' $seed
echo 'dataset:' $dataset
echo 'gpu:' $gpu
echo 'arch:' $arch
echo 'batch_size:' $batch_size
echo 'learning_rate:' $learning_rate
cd ../sota/cnn
python3 train.py \
--arch $arch \
--dataset $dataset \
--auxiliary --cutout \
--seed $seed --save $id --gpu $gpu \
--batch_size $batch_size --learning_rate $learning_rate \
--resume_expid $resume_expid --resume_epoch $resume_epoch \

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#!/bin/bash
script_name=`basename "$0"`
id=${script_name%.*}
dataset=${dataset:-cifar10}
seed=${seed:-1}
gpu=${gpu:-"0"}
pool_size=${pool_size:-10}
space=${space:-s5}
metric=${metric:-'jacob'}
edge_decision=${edge_decision:-'random'}
validate_rounds=${validate_rounds:-100}
learning_rate=${learning_rate:-0.025}
while [ $# -gt 0 ]; do
if [[ $1 == *"--"* ]]; then
param="${1/--/}"
declare $param="$2"
# echo $1 $2 // Optional to see the parameter:value result
fi
shift
done
echo 'id:' $id 'seed:' $seed 'dataset:' $dataset 'space:' $space
echo 'proj crit:' $metric
echo 'gpu:' $gpu
cd ../sota/cnn
python3 networks_proposal.py \
--search_space $space --dataset $dataset \
--batch_size 64 \
--seed $seed --save $id --gpu $gpu \
--edge_decision $edge_decision \
--proj_crit_normal $metric --proj_crit_reduce $metric --proj_crit_edge $metric \
--pool_size $pool_size\
cd ../../zerocostnas/
python3 post_validate.py\
--ckpt_path ../experiments/sota/$dataset-search-$id-$space-$seed-$pool_size-$metric\
--save $id --seed $seed --gpu $gpu\
--batch_size 64\
--edge_decision $edge_decision --proj_crit $metric \
--validate_rounds $validate_rounds\
cd ../sota/cnn
python3 train.py \
--seed $seed --gpu $gpu --save $id \
--arch ../../experiments/sota/$space-valid-$id-$seed-$pool_size-$validate_rounds-$metric\
--dataset $dataset \
--auxiliary --cutout \
--batch_size 96 --learning_rate $learning_rate \
--init_channels 36 --layers 20\
--from_dir\

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#!/bin/bash
script_name=`basename "$0"`
id=${script_name%.*}
dataset=${dataset:-cifar100}
seed=${seed:-2}
gpu=${gpu:-"auto"}
pool_size=${pool_size:-100}
space=${space:-s5}
metric=${metric:-'jacob'}
edge_decision=${edge_decision:-'random'}
validate_rounds=${validate_rounds:-100}
learning_rate=${learning_rate:-0.025}
while [ $# -gt 0 ]; do
if [[ $1 == *"--"* ]]; then
param="${1/--/}"
declare $param="$2"
# echo $1 $2 // Optional to see the parameter:value result
fi
shift
done
echo 'id:' $id 'seed:' $seed 'dataset:' $dataset 'space:' $space
echo 'proj crit:' $metric
echo 'gpu:' $gpu
cd ../sota/cnn
python3 networks_proposal.py \
--search_space $space --dataset $dataset --batch_size 64 \
--seed $seed --save $id --gpu $gpu \
--edge_decision $edge_decision \
--proj_crit_normal $metric --proj_crit_reduce $metric --proj_crit_edge $metric \
--pool_size $pool_size\
cd ../zerocostnas/
python3 post_validate.py\
--ckpt_path ../experiments/sota/$dataset-search-$id-$space-$seed-$pool_size-$metric\
--save $id --seed $seed --gpu $gpu\
--edge_decision $edge_decision --proj_crit $metric \
--batch_size 64\
--validate_rounds $validate_rounds\
cd ../sota/cnn
python3 train.py \
--seed $seed --gpu $gpu --save $id\
--arch ../../experiments/sota/$space-valid-$id-$seed-$pool_size-$validate_rounds-$dataset-$metric\
--dataset $dataset \
--auxiliary --cutout \
--batch_size 96 --learning_rate $learning_rate \
--init_channels 16 --layers 20 \
--from_dir\

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#!/bin/bash
script_name=`basename "$0"`
id=${script_name%.*}
dataset=${dataset:-imagenet}
seed=${seed:-2}
gpu=${gpu:-"auto"}
pool_size=${pool_size:-10}
space=${space:-s5}
metric=${metric:-'jacob'}
edge_decision=${edge_decision:-'random'}
validate_rounds=${validate_rounds:-100}
learning_rate=${learning_rate:-0.025}
data=${data:-''}
while [ $# -gt 0 ]; do
if [[ $1 == *"--"* ]]; then
param="${1/--/}"
declare $param="$2"
# echo $1 $2 // Optional to see the parameter:value result
fi
shift
done
echo 'id:' $id 'seed:' $seed 'dataset:' $dataset 'space:' $space
echo 'proj crit:' $metric
echo 'gpu:' $gpu
cd ../sota/cnn
python3 networks_proposal.py \
--search_space $space --dataset $dataset \
--seed $seed --save $id --gpu $gpu \
--edge_decision $edge_decision \
--proj_crit_normal $metric --proj_crit_reduce $metric --proj_crit_edge $metric \
--pool_size $pool_size\
--data $data\
cd ../../zerocostnas/
python3 post_validate.py\
--ckpt_path ../experiments/sota/$dataset-search-$id-$space-$seed-$pool_size\
--save $id --seed $seed --gpu $gpu\
--edge_decision $edge_decision --proj_crit $metric \
--batch_size 64\
--validate_rounds $validate_rounds\
--data $data\