**have Anyone have any idea regarding this one . **
Traceback (most recent call last):
File "evaluate.py", line 184, in <module>
args.output_dir, args.file_fmt, args.profile)
File "evaluate.py", line 82, in evaluate
output_batch = model(train_batch)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/tools2/opensource/proj/NeuriCam/model/net.py", line 27, in forward
return self.model(model_in)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/tools2/opensource/proj/NeuriCam/model/keyvsrc/net.py", line 151, in forward
feats = self.propagate(lr_s, feats, key_frame_int)
File "/tools2/opensource/proj/NeuriCam/model/keyvsrc/net.py", line 95, in propagate
feats = self.basicvsr_pp.propagate(feats, flows, module)
File "/tools2/opensource/proj/NeuriCam/model/basicvsr_pp/basicvsr_pp.py", line 252, in propagate
feat_prop = feat_prop + self.backbone[module_name](feat)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/tools2/opensource/proj/NeuriCam/model/basicvsr_pp/basicvsr_net.py", line 234, in forward
return self.main(feat)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/container.py", line 141, in forward
input = module(input)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/conv.py", line 446, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/tools2/opensource/proj/test/lib64/python3.6/site-packages/torch/nn/modules/conv.py", line 443, in _conv_forward
self.padding, self.dilation, self.groups)
RuntimeError: Given groups=1, weight of size [64, 128, 3, 3], expected input[1, 64, 124, 328] to have 128 channels, but got 64 channels instead
currently i am working on https://github.com/vb000/NeuriCam code and i install all the required library , but getting this error .
and i am using my own dataset .