46 lines
1.3 KiB
Bash
46 lines
1.3 KiB
Bash
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#!/usr/bin/env sh
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if [ "$#" -ne 3 ] ;then
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echo "Input illegal number of parameters " $#
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echo "Need 3 parameters for the GPUs and the network and the dataset"
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exit 1
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fi
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if [ "$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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gpus=$1
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arch=$2
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cutout=0
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dataset=$3
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epoch=50
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SAVED=./snapshots/NAS/Search-${arch}-${dataset}-cut${cutout}-${epoch}
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if [ "$dataset" == "cifar10" ] ;then
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dataset_root=$TORCH_HOME/cifar.python
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print_freq=100
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elif [ "$dataset" == "cifar100" ] ;then
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dataset_root=$TORCH_HOME/cifar.python
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print_freq=100
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elif [ "$dataset" == "tiered" ] ;then
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dataset_root=$TORCH_HOME/tiered-imagenet
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print_freq=500
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else
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echo 'invalid dataset-name :'${dataset}
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exit 1
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fi
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CUDA_VISIBLE_DEVICES=${gpus} python ./exps-nas/train_search.py \
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--data_path ${dataset_root} \
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--arch ${arch} \
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--dataset ${dataset} --batch_size 64 \
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--save_path ${SAVED} \
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--learning_rate_max 0.025 --learning_rate_min 0.001 --momentum 0.9 --weight_decay 0.0003 \
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--epochs ${epoch} --cutout ${cutout} --validate --grad_clip 5 \
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--init_channels 16 --layers 8 \
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--manualSeed 3858 \
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--model_config ./configs/nas-cifar-cos.config \
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--print_freq ${print_freq} --workers 8
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