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tinyimagenet_exec_GD.sh
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## REBUTTAL
# Final run on full data
# # NOTE: make sure to delete/comment subfolder from the config file or else it may not work
conf_file="configs/param_tuning/tinyimgnet/resnet18_0_5/conf1"
conf_end=".yml"
log_root="tiny_resnet18_0_5"
log_end="_log"
subfolder_root="tiny_resnet18_0_5_"
for trial in 1 2 3
do
python main.py \
--config "$conf_file$conf_end" \
--trial-num $trial \
--use-full-data \
--subfolder "$subfolder_root$trial" #> "$log_root$trial$log_end" 2>&1 &
python main.py \
--config "$conf_file$conf_end" \
--trial-num $trial \
--invert-sanity-check \
--use-full-data \
--skip-sanity-checks \
--subfolder "invert_$subfolder_root$trial" #> "invert_$log_root$trial$log_end" 2>&1 &
done
# TinyImageNet, ResNet-50
# Weight training
#python main.py --config configs/training/resnet50/tiny_resnet50_training_adam_001_multi.yml > log_tiny_res50_wt_adam_001_multi 2>&1 # this is current best
#python main.py --config configs/training/resnet50/tiny_resnet50_training_adam_001_cosine.yml > log_tiny_res50_wt_adam_001_cosine 2>&1 # this is current best
#python main.py --config configs/training/resnet50/tiny_resnet50_training_adam_0001_cosine.yml > log_tiny_res50_wt_adam_0001_cosine 2>&1 # this is current best
#python main.py --config configs/training/resnet50/tiny_resnet50_training_sgd_multi.yml > log_tiny_res50_wt_sgd_multi 2>&1 # this is current best
#python main.py --config configs/training/resnet50/tiny_resnet50_training_adam_short.yml > log_tiny_res50_wt_adam_short 2>&1 # this is current best
#python main.py --config configs/training/resnet50/tiny_resnet50_training_adam.yml > log_tiny_res50_wt_adam 2>&1 # this is current best
# TinyImageNet, ResNet-101
## Weight training
#python main.py --config configs/training/resnet101/tiny_resnet101_training.yml > log_tiny_res101_wt_adam 2>&1 # this is current best
#python main.py --config configs/training/resnet101/tiny_resnet101_training_300.yml > log_tiny_res101_wt_adam_300 2>&1 # this is current best
#python main.py --config configs/training/resnet101/tiny_resnet101_training.yml > log_tiny_res101_wt 2>&1 # this is current best
## HC
#python main.py --config configs/hypercube/tinyImageNet/resnet101/resnet101_sparsity_5.yml > log_tiny_res101_hc_sparsity_5 2>&1
## EP
#python main.py --config configs/ep/tinyImageNet/resnet101/resnet101_sparsity_5.yml > log_tiny_res101_ep_sparsity_5 2>&1
#python main.py --config configs/ep/tinyImageNet/resnet101/resnet101_sparsity_50.yml > log_tiny_res101_ep_sparsity_50 2>&1
# TinyImageNet, ResNet-18
# Weight training
#python main.py --config configs/training/resnet18/tiny_resnet18_training_preproc2_v3.yml #> log_tiny_wt_p2_v3 2>&1 # this is current best: 49.59%
# HC
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_sgd_5.yml > log_tiny_hc_sparsity_50_sgd_5 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_sgd_25.yml > log_tiny_hc_sparsity_50_sgd_25 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_adam_5.yml > log_tiny_hc_sparsity_50_adam_5 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_adam_25.yml > log_tiny_hc_sparsity_50_adam_25 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_5_sgd_lam8.yml #> log_tiny_hc_sparsity_5_sgd_lam8 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_5_sgd_lam8_T10.yml #> log_tiny_hc_sparsity_5_sgd_lam8 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_sgd_lam0_T10.yml > log_tiny_hc_sparsity_50_sgd_lam0_T10 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_20_sgd_lam8_T10.yml > log_tiny_hc_sparsity_20_sgd_lam8_T10 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_1_4_sgd_lam7_T10.yml > log_tiny_hc_sparsity_1_4_sgd_lam7_T10 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_sgd_lam0_unflag_F.yml > log_tiny_hc_sparsity_50_sgd_lam0_unflag_F 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_20_sgd_lam6_unflag_F.yml > log_tiny_hc_sparsity_20_sgd_lam6_unflag_F 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_20_sgd_lam5_unflag_F.yml > log_tiny_hc_sparsity_20_sgd_lam5_unflag_F 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_5_sgd_lam4_unflag_F.yml > log_tiny_hc_sparsity_5_sgd_lam4_unflag_F 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_5_sgd_5lam6_unflag_F.yml > log_tiny_hc_sparsity_5_sgd_5lam6_unflag_F 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_20_sgd_3lam6_unflag_F.yml > log_tiny_hc_sparsity_20_sgd_3lam6_unflag_F 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_5_adam_8lam6.yml > log_tiny_hc_sparsity_5_adam_8lam6 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_1_4_adam_9lam6.yml #> log_tiny_hc_sparsity_1_4_adam_9lam6 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_50_adam.yml > log_tiny_hc_sparsity_50_adam 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_5_adam_1lam6.yml > log_tiny_hc_sparsity_5_adam_1lam6 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_1_4_adam_5lam6.yml > log_tiny_hc_sparsity_1_4_adam_5lam6 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_0_5_adam_1lam5.yml > log_tiny_hc_sparsity_0_5_adam_1lam5 2>&1
#python main.py --config configs/hypercube/tinyImageNet/resnet18/resnet18_sparsity_0_5_sgd_1_5lam5.yml > log_tiny_hc_sparsity_0_5_sgd_1_5lam5 2>&1
# EP
#:<<BLOCK
#python main.py --config configs/ep/tinyImageNet/resnet18/sparsity_5.yml > log_tiny_ep_sparsity_5 2>&1
#python main.py --config configs/ep/tinyImageNet/resnet18/sparsity_50.yml > log_tiny_ep_sparsity_50 2>&1
#python main.py --config configs/ep/tinyImageNet/resnet18/sparsity_100.yml > log_tiny_ep_sparsity_100 2>&1
#python main.py --config configs/ep/tinyImageNet/resnet18/sparsity_1_4.yml > log_tiny_ep_sparsity_1_4 2>&1
#python main.py --config configs/ep/tinyImageNet/resnet18/sparsity_20.yml > log_tiny_ep_sparsity_20 2>&1
#BLOCK
#python main.py --config configs/ep/tinyImageNet/resnet18/sparsity_0_75.yml > log_tiny_ep_sparsity_0_75 2>&1
# testing mixed precision
#python main.py --config configs/training/resnet18/tiny_resnet18_training_test_MP.yml #> log_tiny_wt_p2_v3 2>&1