update configs
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@ -8,5 +8,5 @@
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"class_num" : ["int" , "100"],
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"xchannels" : ["int" , ["3", "16", "4", "4", "6", "11", "6", "4", "8", "4", "4", "4", "32", "32", "9", "28", "28", "28", "28", "28", "32", "32", "64", "64", "64", "64", "64", "64", "64", "64", "64", "64"]],
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"xblocks" : ["int" , ["5", "5", "5"]],
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"estimated_FLOP" : ["float" , "42.493184"]
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"estimated_FLOP" : ["float" , "42.47"]
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}
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@ -1,42 +0,0 @@
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#!/bin/bash
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# bash ./scripts-search/AA-NAS-train-archs.sh 0 100 -1 '777 888 999'
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echo script name: $0
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echo $# arguments
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if [ "$#" -ne 4 ] ;then
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echo "Input illegal number of parameters " $#
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echo "Need 4 parameters for start and end and arch-index"
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exit 1
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fi
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if [ "$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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xstart=$1
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xend=$2
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arch_index=$3
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all_seeds=$4
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if [ ${arch_index} == "-1" ]; then
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mode=new
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else
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mode=cover
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fi
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save_dir=./output/AA-NAS-BENCH-4/
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OMP_NUM_THREADS=4 python ./exps/AA-NAS-Bench-main.py \
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--mode ${mode} --save_dir ${save_dir} --max_node 4 \
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--use_less 0 \
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--datasets cifar10 cifar10 cifar100 ImageNet16-120 \
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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 16 --num_cells 5 \
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--workers 4 \
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--srange ${xstart} ${xend} --arch_index ${arch_index} \
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--seeds ${all_seeds}
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@ -1,33 +0,0 @@
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#!/bin/bash
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# bash ./scripts-search/AA-NAS-train-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=$3
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save_dir=./output/AA-NAS-BENCH-4/
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OMP_NUM_THREADS=4 python ./exps/AA-NAS-Bench-main.py \
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--mode specific-${model} --save_dir ${save_dir} --max_node 4 \
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--datasets cifar10 cifar10 cifar100 ImageNet16-120 \
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--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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