warnings.warn("pyprof will be removed by the end of June, 2022", FutureWarning)
Traceback (most recent call last):
File "D:/WorkSpace/PythonWorkSpace/change_detection/test.py", line 60, in
y_pred = model(img1, img2)
File "D:\Software\Anconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, kwargs)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detection_pytorch\base\model.py", line 35, in forward
return self.base_forward(x1, x2)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detection_pytorch\base\model.py", line 20, in base_forward
decoder_output = self.decoder(features)
File "D:\Software\Anconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(input, kwargs)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detectionpytorch\unetplusplus\decoder.py", line 137, in forward
output = self.blocks[f'x{depthidx}{depth_idx}'](features[depth_idx], features[depth_idx+1])
File "D:\Software\Anconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detection_pytorch\unetplusplus\decoder.py", line 39, in forward
x = torch.cat([x, skip], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 2. Got 49 and 50 (The offending index is 0)
RuntimeError: Sizes of tensors must match except in dimension 2. Got 49 and 50 (The offending index is 0)
warnings.warn("pyprof will be removed by the end of June, 2022", FutureWarning) Traceback (most recent call last): File "D:/WorkSpace/PythonWorkSpace/change_detection/test.py", line 60, in
y_pred = model(img1, img2)
File "D:\Software\Anconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, kwargs)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detection_pytorch\base\model.py", line 35, in forward
return self.base_forward(x1, x2)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detection_pytorch\base\model.py", line 20, in base_forward
decoder_output = self.decoder(features)
File "D:\Software\Anconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(input, kwargs)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detectionpytorch\unetplusplus\decoder.py", line 137, in forward
output = self.blocks[f'x{depthidx}{depth_idx}'](features[depth_idx], features[depth_idx+1])
File "D:\Software\Anconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\WorkSpace\PythonWorkSpace\change_detection\change_detection_pytorch\unetplusplus\decoder.py", line 39, in forward
x = torch.cat([x, skip], dim=1)
RuntimeError: Sizes of tensors must match except in dimension 2. Got 49 and 50 (The offending index is 0)
RuntimeError: Sizes of tensors must match except in dimension 2. Got 49 and 50 (The offending index is 0)