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tensorboard/.gitignore ADDED
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+ # ignore all except .gitignore file
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+ *
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+ !.gitignore
tensorboard/debug/debug_eval_log_2023-12-22_15-04-35.txt ADDED
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+ Input Args:
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+ Namespace(exp_name='debug', snap_dir='snapshots', log_dir='logs', no_log=False, data_name='mnist', data_dir='data/mnist', model_name='mnist', max_epoch=100, lr=0.0001, batch_size=200, seed=0, gpus='0,1', randomize=False, steps=[80, 140, 180], decay_rate=0.1, print_freq=10, output_freq=5, save_freq=5, eval_model=None, eval_samples=10000, eval_batch_size=200, eval_cpu=False, attack_method='pgd', epsilon=0.3, k=40, alpha=0.01, mu=1.0, random_start=True)
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+ Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
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+ Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to data/mnist/MNIST/raw/train-images-idx3-ubyte.gz
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+ Extracting data/mnist/MNIST/raw/train-images-idx3-ubyte.gz to data/mnist/MNIST/raw
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+
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+ Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
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+ Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz
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+ Extracting data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz to data/mnist/MNIST/raw
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+
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+ Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
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+ Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to data/mnist/MNIST/raw/t10k-images-idx3-ubyte.gz
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+ Extracting data/mnist/MNIST/raw/t10k-images-idx3-ubyte.gz to data/mnist/MNIST/raw
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+
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+ Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
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+ Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to data/mnist/MNIST/raw/t10k-labels-idx1-ubyte.gz
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+ Extracting data/mnist/MNIST/raw/t10k-labels-idx1-ubyte.gz to data/mnist/MNIST/raw
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+
tensorboard/debug/debug_eval_log_2023-12-22_15-12-07.txt ADDED
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+ Input Args:
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+ namespace(seed=0,
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+ randomize=False,
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+ log_dir='logs',
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+ exp_name='debug',
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+ no_log=False)
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+ 10 28
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+ 10
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+ Num classes: 10
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+ Img size: 28
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+ Num classes: 10
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+ Img size: 28
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+ Num test batches: 50
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+ Input Args:
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+ namespace(seed=0,
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+ randomize=False,
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+ log_dir='logs',
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+ exp_name='debug',
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+ no_log=False,
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+ data_dir='data/mnist',
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+ batch_size=200,
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+ eval_batch_size=200)
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+ Num classes: 10
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+ Img size: 28
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+ Num test batches: 50
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ Params Loaded from: snapshots/debug/checkpoint_100.pth
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+ natural accuracy: 0.9865
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+ adversarial accuracy: 0.9227
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