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Description
Command run:
python cnn.py --network_type backprop --dataset mnist --learning_rate 0.00025 --n_inference_steps 100 --logdir ./logs --savedir ./logs --old_savedir None
Output:
Initialized
Args parsed
folders created
Traceback (most recent call last):
File "cnn.py", line 268, in <module>
dataset,testset = get_cnn_dataset(args.dataset,args.batch_size)
File "/Volumes/workplace/ml/pressing/PredictiveCodingBackprop/datasets.py", line 62, in get_cnn_dataset
mnist_transform = transforms.Compose([transforms.ToTensor(), mnist_normalize])
NameError: name 'mnist_normalize' is not defined
Problem location:
PredictiveCodingBackprop/datasets.py
Line 62 in 2154d78
| mnist_transform = transforms.Compose([transforms.ToTensor(), mnist_normalize]) |
Did you mean to do something like this?
https://github.com/HazyResearch/structured-nets/blob/master/pytorch/old/misc/circtest/circulant.py#L99
mnist_normalize = transforms.Normalize((0.1307, ), (0.3081, ))
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