run_figure15ad.sh

#!/bin/bash

# caltech_birds2011
python3 profiler.py --model_name resnet50 \
                    --num_classes 200

python3 main.py --model_name resnet50 \
                --dataset_name caltech_birds2011 \
                --train_type elastic_training \
                --run_name CUB200_ElasticTrainer

python3 main.py --model_name resnet50 \
                --dataset_name caltech_birds2011 \
                --train_type full_training \
                --run_name CUB200_Full_training

python3 main.py --model_name resnet50 \
                --dataset_name caltech_birds2011 \
                --train_type traditional_tl_training \
                --run_name CUB200_Traditional_TL

python3 main.py --model_name resnet50 \
                --dataset_name caltech_birds2011 \
                --train_type bn_plus_bias_training \
                --run_name CUB200_BN+Bias

python3 plot_curves.py --x_tag wall_time \
                       --y_tag test/accuracy \
                       --single False \
                       --elastic_trainer_path CUB200_ElasticTrainer \
                       --full_training_path CUB200_Full_training \
                       --traditional_tl_path CUB200_Traditional_TL \
                       --bn_plus_bias_path CUB200_BN+Bias \
                       --figure_id 1 \
                       --figure_name Figure_15_a.pdf

python3 plot_curves.py --x_tag wall_time \
                       --y_tag test/classification_loss \
                       --single False \
                       --elastic_trainer_path CUB200_ElasticTrainer \
                       --full_training_path CUB200_Full_training \
                       --traditional_tl_path CUB200_Traditional_TL \
                       --bn_plus_bias_path CUB200_BN+Bias \
                       --figure_id 2 \
                       --figure_name Figure_15_d.pdf