rosenfeldamir

# Let's map between the fine and coarse categories.
cifar100Dir = '/data/cifar-100-python/' # modify this to your own directory...
import cPickle as pickle
import os
meta = pickle.load(open(os.path.join(cifar100Dir,'meta')))
test = pickle.load(open(os.path.join(cifar100Dir,'test')))
test_fine_labels = test['fine_labels']
test_coarse_labels = test['coarse_labels']
fine_to_coarse = dict(set((zip(test_fine_labels,test_coarse_labels))))

rosenfeldamir

def makeSomeLayers(in_channels,out_channels,resolutions):
    layers = []
    for r in resolutions:
        layers.append(nn.Conv2d(in_channels=in_channels,out_channels=out_channels,kernel_size=r))
    return layers


class Net(nn.Module):

    def __init__(self):