bug: The size of tensor a (3) must match the size of tensor b (6) at non-singleton dimension 2

[jiangjiaxi20]

No description provided.

[jeya-maria-jose]

Can you please add more description for this error ? For which dataset and which model are you getting this bug ?

[jiangjiaxi20]

i used the LIST data to train the model. got the .pth. then i run the val.py.( i did not change any parameters in parameter.py ,except those paths). Then i got the bug of models.py in line 602. "The size of tensor a (3) must match the size of tensor b (6) at non-singleton dimension 2". i tried to change the "size" of parameter.py to 8, there is no bug, but the results(pred.nii) seems bad. other size will result to similar bug. i also change the "size" of paramter.py to 24 when i run the train.py, cause i got similar bugs too.

[xuzhongyou]

yes,i have the same problem. the output size (1024) is not the same size as label(512)

[atch841]

Trying to run train.py in LiTS folder after successfully run get_training_set.py in data_prepare, but got the following error when using kiunet_org as net in model.py:
Traceback (most recent call last):
File "train.py", line 71, in
outputs = net(ct)
File "/home/viplab/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/viplab/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 159, in forward
return self.module(*inputs[0], **kwargs[0])
File "/home/viplab/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/viplab/nas/KiU-Net-pytorch/LiTS/net/models.py", line 591, in forward
out = torch.add(out,F.interpolate(F.relu(self.inte3_1bn(self.intere3_1(out1))),scale_factor=(0.5,0.0625,0.0625),mode ='trilinear'))
RuntimeError: The size of tensor a (3) must match the size of tensor b (6) at non-singleton dimension 2

[boneseva]

I have the same problem with running (almost) any of the models on my own data:
out1 = torch.add(out1,F.interpolate(F.relu(self.inte1_2bn(self.intere1_2(tmp))),scale_factor=(4,4),mode ='bilinear')) RuntimeError: The size of tensor a (386) must match the size of tensor b (384) at non-singleton dimension 3

[zx-123456]

I have the same problem，So how to solve it?

[momo1986]

Have same problem kiunet_org.

[AasiaRehman]

I have the same issue has anybody solved it

[SorryMaker511]

The same problem arose when I use kiunet_org for training

[zhouyizhuo]

Did you guys solve the problem?

[zhouyizhuo]

Trying to run train.py in LiTS folder after successfully run get_training_set.py in data_prepare, but got the following error when using kiunet_org as net in model.py: Traceback (most recent call last): File "train.py", line 71, in outputs = net(ct) File "/home/viplab/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/viplab/anaconda3/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 159, in forward return self.module(*inputs[0], **kwargs[0]) File "/home/viplab/anaconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/viplab/nas/KiU-Net-pytorch/LiTS/net/models.py", line 591, in forward out = torch.add(out,F.interpolate(F.relu(self.inte3_1bn(self.intere3_1(out1))),scale_factor=(0.5,0.0625,0.0625),mode ='trilinear')) RuntimeError: The size of tensor a (3) must match the size of tensor b (6) at non-singleton dimension 2

@atch841 @momo1986
Did you solve the problem?

[zhouyizhuo]

@SorryMaker511