SMART/LogitsGap/scripts/run_all_experiments_2.bash

#!/bin/bash

# Comprehensive experiment runner
# Run from /hdd/haolan/SMART/LogitsGap/

# Change to the correct directory
cd /hdd/haolan/SMART/LogitsGap/

# Set GPU to use only CUDA device 2
export CUDA_VISIBLE_DEVICES=3

# Define all models, datasets, and parameters
models_imagenet_full=("resnet50" "densenet121" "wide_resnet" "vit_b_16" "vit_b_32" "swin_b")
models_imagenet_subset=("resnet50" "densenet121" "vit_b_16" "vit_b_32" "swin_b")
models_cifar=("resnet50" "wide_resnet")
seeds=("1")
corruptions=("defocus_blur" "glass_blur" "motion_blur" "zoom_blur" "contrast" "elastic_transform" "jpeg_compression" "pixelate" "gaussian_blur" "saturate" "spatter" "speckle_noise" "gaussian_noise" "impulse_noise" "shot_noise" "brightness" "fog" "frost" "snow")
severity=("5")
datasets_cifar=("cifar10" "cifar100")

echo "Starting comprehensive experiments..."


# 1. CIFAR experiments
# echo "Running CIFAR experiments..."
# for dataset in "${datasets_cifar[@]}"; do
#     for model in "${models_cifar[@]}"; do
#         for seed in "${seeds[@]}"; do
#             echo "Running: $model on $dataset with seed $seed"
#             python smart_logitgap.py --model "$model" --dataset "$dataset" --random_seed "$seed" --run_methods "GC,FC,SMART" --smart_loss "smooth_soft_ece" --train_loss "cross_entropy" --overwrite
#         done
#     done
# done

# 2. ImageNet and ImageNet-LT experiments (full model set)
# echo "Running ImageNet and ImageNet-LT experiments..."
# imagenet_full_datasets=("imagenet" "imagenet_lt")
# for dataset in "${imagenet_full_datasets[@]}"; do
#   echo "Running $dataset experiments..."
#   for model in "${models_imagenet_full[@]}"; do
#     for seed in "${seeds[@]}"; do
#       echo "Running: $model on $dataset with seed $seed"
#       python smart_logitgap.py --model "$model" --dataset "$dataset" --random_seed "$seed" --run_methods "GC,FC,SMART" --smart_loss "smooth_soft_ece" --overwrite
#     done
#   done
# done

# # 3. ImageNet-Sketch experiments (subset model set)
# echo "Running ImageNet-Sketch experiments..."
# for model in "${models_imagenet_subset[@]}"; do
#   for seed in "${seeds[@]}"; do
#     echo "Running: $model on imagenet_sketch with seed $seed"
#     python smart_logitgap.py --model "$model" --dataset imagenet_sketch --random_seed "$seed" --run_methods "GC,FC,SMART" --smart_loss "smooth_soft_ece" --overwrite
#   done
# done

# 4. ImageNet-C experiments (subset model set, severity 5 only)
echo "Running ImageNet-C experiments (severity 5)..."
for model in "${models_imagenet_subset[@]}"; do
  echo "Running $model on ImageNet-C..."
  for corruption in "${corruptions[@]}"; do
    for seed in "${seeds[@]}"; do
      for sev in "${severity[@]}"; do
        echo "Running: $model on imagenet_c ($corruption, severity $sev, seed $seed)"
        python smart_logitgap.py --model "$model" --dataset imagenet_c --corruption_type "$corruption" --severity "$sev" --random_seed "$seed" --run_methods "GC,FC,SMART,ProCal_DR" --smart_loss "smooth_soft_ece"
      done
    done
  done
done


echo "All experiments completed!"