Traceback (most recent call last):


 "train.py", line 196, in <module>

train(training_dbs, validation_db, args.start_iter)


 "train.py", line 137, in train

training_loss = nnet.train(**training)


 "/home/jim/CornerNet/nnet/py_factory.py", line 81, in train

loss = self.network(xs, ys)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/data_parallel.py", line 68, in forward

return self.module(*inputs[0], **kwargs[0])


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/nnet/py_factory.py", line 19, in forward

preds = self.model(*xs, **kwargs)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/nnet/py_factory.py", line 31, in forward

return self.module(*xs, **kwargs)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp.py", line 255, in forward

return self._train(*xs, **kwargs)


 "/home/jim/CornerNet/models/py_utils/kp.py", line 190, in _train

kp
= kp_(inter)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp.py", line 68, in forward

low2 = self.low2(low1)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp.py", line 68, in forward

low2 = self.low2(low1)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp.py", line 68, in forward

low2 = self.low2(low1)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp.py", line 68, in forward

low2 = self.low2(low1)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp.py", line 71, in forward

return self.merge(up1, up2)


 "/home/jim/.conda/envs/CornerNet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__

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


 "/home/jim/CornerNet/models/py_utils/kp_utils.py", line 9, in forward

return up1 + up2
RuntimeError: The size of tensor a (7) must match the size of tensor b (8) at non-singleton dimension 3

Traceback (most recent call last):


 "D:\py_workspace\torch\main.py", line 251, in <module>

main()


 "D:\py_workspace\torch\main.py", line 207, in main

output = netD(real_cpu)


 "D:\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 491, in __call__

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


 "D:\py_workspace\torch\main.py", line 174, in forward

output = self.main(input)


 "D:\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 491, in __call__

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


 "D:\Anaconda3\lib\site-packages\torch\nn\modules\container.py", line 91, in forward

input = module(input)


 "D:\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 491, in __call__

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


 "D:\Anaconda3\lib\site-packages\torch\nn\modules\conv.py", line 301, in forward

self.padding, self.dilation, self.groups)
RuntimeError: Calculated padded input size per channel: (2 x 2). Kernel size: (4 x 4). Kernel size can't greater than actual input size at c:\users\administrator\downloads\new-builder\win-wheel\pytorch\aten\src\thnn\generic/SpatialConvolutionMM.c:48
