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tensorboard/cifar10_adv_1/cifar10_adv_1_log_2023-12-28_14-43-47.txt

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+Input Args: 
+Namespace(exp_name='cifar10_adv_1', snap_dir='snapshots', log_dir='logs', no_log=False, data_name='cifar10', data_dir='data/cifar10', model_name='wide', max_epoch=200, lr=0.1, batch_size=128, seed=2333, gpus='0,1', randomize=False, steps=[80, 140, 160], decay_rate=0.1, optimizer='sgd', no_val_stage=False, print_freq=10, output_freq=5, save_freq=5, eval_model=None, eval_samples=10000, eval_batch_size=256, eval_cpu=False, attack_method='pgd', epsilon=0.03137254901960784, k=10, alpha=0.00784313725490196, mu=1.0, random_start=True)
+Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to data/cifar10/cifar-10-python.tar.gz
+Extracting data/cifar10/cifar-10-python.tar.gz to data/cifar10
+Files already downloaded and verified

tensorboard/cifar10_adv_1/cifar10_adv_1_log_2023-12-28_14-45-56.txt

@@ -0,0 +1,4 @@
+Input Args: 
+Namespace(exp_name='cifar10_adv_1', snap_dir='snapshots', log_dir='logs', no_log=False, data_name='cifar10', data_dir='data/cifar10', model_name='wide', max_epoch=200, lr=0.1, batch_size=128, seed=2333, gpus='0,1', randomize=False, steps=[80, 140, 160], decay_rate=0.1, optimizer='sgd', no_val_stage=False, print_freq=10, output_freq=5, save_freq=5, eval_model=None, eval_samples=10000, eval_batch_size=256, eval_cpu=False, attack_method='pgd', epsilon=0.03137254901960784, k=10, alpha=0.00784313725490196, mu=1.0, random_start=True)
+Files already downloaded and verified
+Files already downloaded and verified

tensorboard/cifar10_adv_1/cifar10_adv_1_log_2023-12-28_14-46-24.txt

@@ -0,0 +1,6 @@
+Input Args: 
+Namespace(exp_name='cifar10_adv_1', snap_dir='snapshots', log_dir='logs', no_log=False, data_name='cifar10', data_dir='data/cifar10', model_name='wide', max_epoch=200, lr=0.1, batch_size=128, seed=2333, gpus='0,1', randomize=False, steps=[80, 140, 160], decay_rate=0.1, optimizer='sgd', no_val_stage=False, print_freq=10, output_freq=5, save_freq=5, eval_model=None, eval_samples=10000, eval_batch_size=256, eval_cpu=False, attack_method='pgd', epsilon=0.03137254901960784, k=10, alpha=0.00784313725490196, mu=1.0, random_start=True)
+Files already downloaded and verified
+Files already downloaded and verified
+Warn: found ckpt file but cannot load optimizer!
+pgd attack created with kwargs: {'epsilon': 0.03137254901960784, 'k': 10, 'alpha': 0.00784313725490196, 'random_start': True}

tensorboard/cifar10_adv_1/cifar10_adv_1_log_2023-12-28_14-47-46.txt

@@ -0,0 +1,7 @@
+Input Args: 
+Namespace(exp_name='cifar10_adv_1', snap_dir='snapshots', log_dir='logs', no_log=False, data_name='cifar10', data_dir='data/cifar10', model_name='wide', max_epoch=200, lr=0.1, batch_size=128, seed=2333, gpus='0,1', randomize=False, steps=[80, 140, 160], decay_rate=0.1, optimizer='sgd', no_val_stage=False, print_freq=10, output_freq=5, save_freq=5, eval_model=None, eval_samples=10000, eval_batch_size=256, eval_cpu=False, attack_method='pgd', epsilon=0.03137254901960784, k=10, alpha=0.00784313725490196, mu=1.0, random_start=True)
+Files already downloaded and verified
+Files already downloaded and verified
+Warn: found ckpt file but cannot load optimizer!
+Load ckpt file from epoch 0
+pgd attack created with kwargs: {'epsilon': 0.03137254901960784, 'k': 10, 'alpha': 0.00784313725490196, 'random_start': True}

tensorboard/cifar10_adv_1/cifar10_adv_1_log_2023-12-28_14-48-14.txt

@@ -0,0 +1,7 @@
+Input Args: 
+Namespace(exp_name='cifar10_adv_1', snap_dir='snapshots', log_dir='logs', no_log=False, data_name='cifar10', data_dir='data/cifar10', model_name='wide', max_epoch=200, lr=0.1, batch_size=128, seed=2333, gpus='0,1', randomize=False, steps=[80, 140, 160], decay_rate=0.1, optimizer='sgd', no_val_stage=False, print_freq=10, output_freq=5, save_freq=5, eval_model=None, eval_samples=10000, eval_batch_size=256, eval_cpu=False, attack_method='pgd', epsilon=0.03137254901960784, k=10, alpha=0.00784313725490196, mu=1.0, random_start=True)
+Files already downloaded and verified
+Files already downloaded and verified
+Warn: found ckpt file but cannot load optimizer!
+Load ckpt file from epoch 55
+pgd attack created with kwargs: {'epsilon': 0.03137254901960784, 'k': 10, 'alpha': 0.00784313725490196, 'random_start': True}

tensorboard/cifar10_adv_1/events.out.tfevents.1703774627.aseryo-linux

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tensorboard/mnist_neu/events.out.tfevents.1703675952.d0460c103633

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