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Lira2021: 4x multigpu

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Akemi Izuko 2024-11-05 11:50:59 -07:00
parent 1a61c2a36a
commit 72fcf6732a
Signed by: akemi
GPG key ID: 8DE0764E1809E9FC
1 changed files with 10 additions and 8 deletions
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research/mi_lira_2021/scripts/train_demo_multigpu.sh
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@ -17,17 +17,19 @@ CUDA_VISIBLE_DEVICES='0' python3 -u train.py --dataset=cifar10 --epochs=100 --sa
CUDA_VISIBLE_DEVICES='1' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 1 --logdir exp/cifar10 &> logs/log_1 &
CUDA_VISIBLE_DEVICES='2' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 2 --logdir exp/cifar10 &> logs/log_2 &
CUDA_VISIBLE_DEVICES='3' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 3 --logdir exp/cifar10 &> logs/log_3 &
CUDA_VISIBLE_DEVICES='4' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 4 --logdir exp/cifar10 &> logs/log_4 &
CUDA_VISIBLE_DEVICES='5' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 5 --logdir exp/cifar10 &> logs/log_5 &
CUDA_VISIBLE_DEVICES='6' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 6 --logdir exp/cifar10 &> logs/log_6 &
CUDA_VISIBLE_DEVICES='7' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 7 --logdir exp/cifar10 &> logs/log_7 &
wait;
CUDA_VISIBLE_DEVICES='0' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 4 --logdir exp/cifar10 &> logs/log_4 &
CUDA_VISIBLE_DEVICES='1' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 5 --logdir exp/cifar10 &> logs/log_5 &
CUDA_VISIBLE_DEVICES='2' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 6 --logdir exp/cifar10 &> logs/log_6 &
CUDA_VISIBLE_DEVICES='3' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 7 --logdir exp/cifar10 &> logs/log_7 &
wait;
CUDA_VISIBLE_DEVICES='0' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 8 --logdir exp/cifar10 &> logs/log_8 &
CUDA_VISIBLE_DEVICES='1' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 9 --logdir exp/cifar10 &> logs/log_9 &
CUDA_VISIBLE_DEVICES='2' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 10 --logdir exp/cifar10 &> logs/log_10 &
CUDA_VISIBLE_DEVICES='3' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 11 --logdir exp/cifar10 &> logs/log_11 &
CUDA_VISIBLE_DEVICES='4' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 12 --logdir exp/cifar10 &> logs/log_12 &
CUDA_VISIBLE_DEVICES='5' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 13 --logdir exp/cifar10 &> logs/log_13 &
CUDA_VISIBLE_DEVICES='6' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 14 --logdir exp/cifar10 &> logs/log_14 &
CUDA_VISIBLE_DEVICES='7' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 15 --logdir exp/cifar10 &> logs/log_15 &
wait;
CUDA_VISIBLE_DEVICES='0' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 12 --logdir exp/cifar10 &> logs/log_12 &
CUDA_VISIBLE_DEVICES='1' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 13 --logdir exp/cifar10 &> logs/log_13 &
CUDA_VISIBLE_DEVICES='2' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 14 --logdir exp/cifar10 &> logs/log_14 &
CUDA_VISIBLE_DEVICES='3' python3 -u train.py --dataset=cifar10 --epochs=100 --save_steps=20 --arch wrn28-2 --num_experiments 16 --expid 15 --logdir exp/cifar10 &> logs/log_15 &
wait;