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Fix path errors in TAS due to lib->xautodl

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This commit is contained in:
D-X-Y
2021-05-20 10:53:57 +08:00
parent b50ad2a522
commit b4e8eae63a
15 changed files with 57 additions and 56 deletions
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6
scripts-search/search-depth-cifar.sh
View File

@@ -32,7 +32,7 @@ save_dir=${SAVE_ROOT}/search-depth/${dataset}-${model}-${optim}-Gumbel_${gumbel_
python --version
OMP_NUM_THREADS=4 python ./exps/search-shape.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/TAS/search-shape.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ./configs/archs/CIFAR-${model}.config \
--split_path ./.latent-data/splits/${dataset}-0.5.pth \
@@ -53,7 +53,7 @@ if [ "$rseed" = "-1" ]; then
else
# normal training
xsave_dir=${save_dir}/seed-${rseed}-NMT
OMP_NUM_THREADS=4 python ./exps/basic-main.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/basic/basic-main.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ${save_dir}/seed-${rseed}-last.config \
--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \
@@ -64,7 +64,7 @@ else
--eval_frequency 1 --print_freq 100 --print_freq_eval 200
# KD training
xsave_dir=${save_dir}/seed-${rseed}-KDT
OMP_NUM_THREADS=4 python ./exps/KD-main.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/basic/KD-main.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ${save_dir}/seed-${rseed}-last.config \
--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \

6
scripts-search/search-shape-cifar.sh
View File

@@ -28,7 +28,7 @@ save_dir=./output/search-shape/${dataset}-${model}-${optim}-Gumbel_${gumbel_min}
python --version
OMP_NUM_THREADS=4 python ./exps/search-transformable.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/TAS/search-transformable.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ./configs/archs/CIFAR-${model}.config \
--split_path ./.latent-data/splits/${dataset}-0.5.pth \
@@ -48,7 +48,7 @@ if [ "$rseed" = "-1" ]; then
else
# normal training
xsave_dir=${save_dir}/seed-${rseed}-NMT
OMP_NUM_THREADS=4 python ./exps/basic-main.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/basic/basic-main.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ${save_dir}/seed-${rseed}-last.config \
--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \
@@ -59,7 +59,7 @@ else
--eval_frequency 1 --print_freq 100 --print_freq_eval 200
# KD training
xsave_dir=${save_dir}/seed-${rseed}-KDT
OMP_NUM_THREADS=4 python ./exps/KD-main.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/basic/KD-main.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ${save_dir}/seed-${rseed}-last.config \
--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \

6
scripts-search/search-width-cifar.sh
View File

@@ -32,7 +32,7 @@ save_dir=${SAVE_ROOT}/search-width/${dataset}-${model}-${optim}-Gumbel_${gumbel_
python --version
OMP_NUM_THREADS=4 python ./exps/search-shape.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/TAS/search-shape.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ./configs/archs/CIFAR-${model}.config \
--split_path ./.latent-data/splits/${dataset}-0.5.pth \
@@ -53,7 +53,7 @@ if [ "$rseed" = "-1" ]; then
else
# normal training
xsave_dir=${save_dir}/seed-${rseed}-NMT
OMP_NUM_THREADS=4 python ./exps/basic-main.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/basic/basic-main.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ${save_dir}/seed-${rseed}-last.config \
--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \
@@ -64,7 +64,7 @@ else
--eval_frequency 1 --print_freq 100 --print_freq_eval 200
# KD training
xsave_dir=${save_dir}/seed-${rseed}-KDT
OMP_NUM_THREADS=4 python ./exps/KD-main.py --dataset ${dataset} \
OMP_NUM_THREADS=4 python ./exps/basic/KD-main.py --dataset ${dataset} \
--data_path $TORCH_HOME/cifar.python \
--model_config ${save_dir}/seed-${rseed}-last.config \
--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \