.github
.latent-data
configs
docs
exps
notebooks
scripts
scripts-search
NAS-Bench-201
build.sh
meta-gen.sh
train-a-net.sh
train-models.sh
NAS-Bench-201-algos
NATS
DARTS1V-search-NASNet-space.sh
GDAS-search-NASNet-space.sh
NASNet-space-search-by-GDAS-FRC.sh
NASNet-space-search-by-GDAS.sh
NASNet-space-search-by-SETN.sh
search-depth-cifar.sh
search-depth-gumbel.sh
search-shape-cifar.sh
search-width-cifar.sh
search-width-gumbel.sh
tests
xautodl
.gitignore
.gitmodules
CHANGE-LOG.md
LICENSE.md
README.md
setup.py
35 lines
952 B
Bash
35 lines
952 B
Bash
#!/bin/bash
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# bash ./scripts-search/NAS-Bench-201/train-a-net.sh resnet 16 5
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echo script name: $0
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echo $# arguments
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if [ "$#" -ne 3 ] ;then
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echo "Input illegal number of parameters " $#
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echo "Need 3 parameters for network, channel, num-of-cells"
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exit 1
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fi
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if [ "$TORCH_HOME" = "" ]; then
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echo "Must set TORCH_HOME envoriment variable for data dir saving"
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exit 1
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else
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echo "TORCH_HOME : $TORCH_HOME"
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fi
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model=$1
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channel=$2
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num_cells=$3
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save_dir=./output/NAS-BENCH-201-4/
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OMP_NUM_THREADS=4 python ./exps/NAS-Bench-201/main.py \
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--mode specific-${model} --save_dir ${save_dir} --max_node 4 \
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--datasets cifar10 cifar10 cifar100 ImageNet16-120 \
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--use_less 0 \
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--splits 1 0 0 0 \
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--xpaths $TORCH_HOME/cifar.python \
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$TORCH_HOME/cifar.python \
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$TORCH_HOME/cifar.python \
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$TORCH_HOME/cifar.python/ImageNet16 \
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--channel ${channel} --num_cells ${num_cells} \
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--workers 4 \
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--seeds 777 888 999
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