mirror of
https://github.com/AntoineHX/smart_augmentation.git
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42 lines
1.1 KiB
Bash
42 lines
1.1 KiB
Bash
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#!/bin/bash
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export PYTHONPATH="$(pwd)"
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# args: [model name] [lr] [wd] #Learning rate / weight decay
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eval_cifar10() {
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hp_policy="$PWD/schedules/rcifar10_16_wrn.txt"
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local_dir="$PWD/results/"
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data_path="$PWD/datasets/cifar-10-batches-py"
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size=50000
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dataset="cifar10"
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name="eval_cifar10_$1" # has 8 cutout size
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python pba/train.py \
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--local_dir "$local_dir" --data_path "$data_path" \
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--model_name "$1" --dataset "$dataset" \
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--train_size "$size" --val_size 0 \
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--checkpoint_freq 25 --gpu 1 --cpu 4 \
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--use_hp_policy --hp_policy "$hp_policy" \
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--hp_policy_epochs 200 \
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--aug_policy cifar10 --name "$name" \
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--lr "$2" --wd "$3"
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}
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if [ "$@" = "wrn_28_10" ]; then
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eval_cifar10 wrn_28_10 0.1 0.0005
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elif [ "$@" = "ss_32" ]; then
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eval_cifar10 shake_shake_32 0.01 0.001
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elif [ "$@" = "ss_96" ]; then
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eval_cifar10 shake_shake_96 0.01 0.001
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elif [ "$@" = "ss_112" ]; then
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eval_cifar10 shake_shake_112 0.01 0.001
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elif [ "$@" = "pyramid_net" ]; then
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eval_cifar10 pyramid_net 0.05 0.00005
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elif [ "$@" = "LeNet" ]; then
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eval_cifar10 LeNet 0.05 0.0
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else
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echo "invalid args"
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fi
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