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when i use this pretrained model as my change-detection model's backbone,i will get this error,31B,31L,XL,all got this,this's my runtime error,it seems like forward got problem?
Traceback (most recent call last):
File "training.py", line 249, in
run()
File "training.py", line 233, in run
train(
File "training.py", line 169, in train
training_phase(epc)
File "training.py", line 108, in training_phase
it_loss = evaluate(reference, testimg, mask)
File "training.py", line 83, in evaluate
generated_mask = model(reference, testimg).squeeze(1)
File "C:\Anaconda3\envs\TinyCD\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "D:\test\Tiny_model_4_CD\models\change_classifier.py", line 63, in forward
features = self._encode(ref, test)
File "D:\test\Tiny_model_4_CD\models\change_classifier.py", line 70, in _encode
ref, test = layer(ref), layer(test)
File "C:\Anaconda3\envs\TinyCD\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Anaconda3\envs\TinyCD\lib\site-packages\torch\nn\modules\module.py", line 201, in _forward_unimplemented
raise NotImplementedError
NotImplementedError
The text was updated successfully, but these errors were encountered:
when i use this pretrained model as my change-detection model's backbone,i will get this error,31B,31L,XL,all got this,this's my runtime error,it seems like forward got problem?
Traceback (most recent call last):
File "training.py", line 249, in
run()
File "training.py", line 233, in run
train(
File "training.py", line 169, in train
training_phase(epc)
File "training.py", line 108, in training_phase
it_loss = evaluate(reference, testimg, mask)
File "training.py", line 83, in evaluate
generated_mask = model(reference, testimg).squeeze(1)
File "C:\Anaconda3\envs\TinyCD\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "D:\test\Tiny_model_4_CD\models\change_classifier.py", line 63, in forward
features = self._encode(ref, test)
File "D:\test\Tiny_model_4_CD\models\change_classifier.py", line 70, in _encode
ref, test = layer(ref), layer(test)
File "C:\Anaconda3\envs\TinyCD\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Anaconda3\envs\TinyCD\lib\site-packages\torch\nn\modules\module.py", line 201, in _forward_unimplemented
raise NotImplementedError
NotImplementedError
The text was updated successfully, but these errors were encountered: