RuntimeError: Given groups=1, weight of size [16, 2, 5, 5, 5], expected input[1, 1, 32, 32, 32] to have 2 channels, but got 1 channels instead

[217dalao]

File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 219, in validation_step
return self.model.validation_step(*args, **kwargs)
File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 203, in validation_step
overlap=self.overlap,
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/monai/inferers/utils.py", line 130, in sliding_window_inference
seg_prob = predictor(window_data, *args, **kwargs).to(device) # batched patch segmentation
File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 124, in forward
x = self.feature_extractor(x)
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward
input = module(input)
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward
input = module(input)
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 573, in forward
self.padding, self.dilation, self.groups)
RuntimeError: Given groups=1, weight of size [16, 2, 5, 5, 5], expected input[1, 1, 32, 32, 32] to have 2 channels, but got 1 channels instead

when running the code，how can i input the data with 2 channels？

[xxxgcat]

File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 219, in validation_step return self.model.validation_step(*args, **kwargs) File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 203, in validation_step overlap=self.overlap, File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/monai/inferers/utils.py", line 130, in sliding_window_inference seg_prob = predictor(window_data, *args, **kwargs).to(device) # batched patch segmentation File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 124, in forward x = self.feature_extractor(x) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 573, in forward self.padding, self.dilation, self.groups) RuntimeError: Given groups=1, weight of size [16, 2, 5, 5, 5], expected input[1, 1, 32, 32, 32] to have 2 channels, but got 1 channels instead

when running the code，how can i input the data with 2 channels？

Hi, I also encountered the same error as you.
Did you solve the above problem?

[Passyoung]

Hi

File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 219, in validation_step return self.model.validation_step(*args, **kwargs) File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 203, in validation_step overlap=self.overlap, File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/monai/inferers/utils.py", line 130, in sliding_window_inference seg_prob = predictor(window_data, *args, **kwargs).to(device) # batched patch segmentation File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 124, in forward x = self.feature_extractor(x) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 573, in forward self.padding, self.dilation, self.groups) RuntimeError: Given groups=1, weight of size [16, 2, 5, 5, 5], expected input[1, 1, 32, 32, 32] to have 2 channels, but got 1 channels instead
when running the code，how can i input the data with 2 channels？

Hi, I also encountered the same error as you. Did you solve the above problem?

Hi, I met the same error too. Did you solve it?

[DanpengDing]

Hi

File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 219, in validation_step return self.model.validation_step(*args, **kwargs) File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 203, in validation_step overlap=self.overlap, File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/monai/inferers/utils.py", line 130, in sliding_window_inference seg_prob = predictor(window_data, *args, **kwargs).to(device) # batched patch segmentation File "/home/mtc206/0qsw/SSL4MIS-master/code/3D-UCaps/3D-UCaps-main/module/segcaps.py", line 124, in forward x = self.feature_extractor(x) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward input = module(input) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mtc206/anaconda3/envs/lcj/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 573, in forward self.padding, self.dilation, self.groups) RuntimeError: Given groups=1, weight of size [16, 2, 5, 5, 5], expected input[1, 1, 32, 32, 32] to have 2 channels, but got 1 channels instead
when running the code，how can i input the data with 2 channels？

Hi, I also encountered the same error as you. Did you solve the above problem?

Hi, I met the same error too. Did you solve it?

Hi，i also met the same problem.Did you slove it??