28-Aug-2016 13:24:39 - ERROR :: Thread-36 : Uncaught exception: Traceback (most recent call last):

 "C:\Users\jeremy\mylar\mylar\logger.py", line 158, in new_run
old_run(*args, **kwargs)

 "C:\Python27\lib\threading.py", line 754, in run
self.__target(*self.__args, **self.__kwargs)

 "C:\Users\jeremy\mylar\mylar\importer.py", line 333, in addComictoDB
publisher = re.sub('!', '', comic['ComicPublisher']) # thanks Boom!KeyError: 'ComicPublisher'
Traceback (most recent call last):


 "demo.py", line 272, in <module>

fire.Fire(demo)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/fire/core.py", line 127, in Fire

component_trace = _Fire(component, args, context, name)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/fire/core.py", line 366, in _Fire

component, remaining_args)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/fire/core.py", line 542, in _CallCallable

result = fn(*varargs, **kwargs)


 "demo.py", line 250, in demo

n_epochs=n_epochs, batch_size=batch_size, seed=seed)


 "demo.py", line 166, in train

train=True,


 "demo.py", line 101, in run_epoch

output_var = model(input_var)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 325, in __call__

result = self.forward(*input, **kwargs)


 "/home/yyj/Downloads/efficient_densenet_pytorch-master/models/densenet_efficient.py", line 218, in forward

features = self.features(x)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 325, in __call__

result = self.forward(*input, **kwargs)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/torch/nn/modules/container.py", line 67, in forward

input = module(input)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 325, in __call__

result = self.forward(*input, **kwargs)


 "/home/yyj/Downloads/efficient_densenet_pytorch-master/models/densenet_efficient.py", line 152, in forward

outputs.append(module.forward(outputs))


 "/home/yyj/Downloads/efficient_densenet_pytorch-master/models/densenet_efficient.py", line 107, in forward

new_features = super(_DenseLayer, self).forward(prev_features)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/torch/nn/modules/container.py", line 67, in forward

input = module(input)


 "/home/yyj/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 325, in __call__

result = self.forward(*input, **kwargs)


 "/home/yyj/Downloads/efficient_densenet_pytorch-master/models/densenet_efficient.py", line 85, in forward

return fn(self.norm_weight, self.norm_bias, self.conv_weight, *inputs)


 "/home/yyj/Downloads/efficient_densenet_pytorch-master/models/densenet_efficient.py", line 265, in forward

conv_output = self.efficient_conv.forward(conv_weight, None, relu_output)


 "/home/yyj/Downloads/efficient_densenet_pytorch-master/models/densenet_efficient.py", line 457, in forward

self.groups, cudnn.benchmark
TypeError: _cudnn_convolution_full_forward received an invalid combination of arguments - got (torch.cuda.FloatTensor, torch.cuda.FloatTensor, NoneType, torch.cuda.FloatTensor, tuple, tuple, tuple, int, bool), but expected (torch.cuda.RealTensor input, torch.cuda.RealTensor weight, torch.cuda.RealTensor bias, torch.cuda.RealTensor output, std::vector<int> pad, std::vector<int> stride, std::vector<int> dilation, int groups, bool benchmark, bool deterministic)
