When I run bash runme.sh, I encounter the exception below.
Traceback (most recent call last):
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/mukai/SPN.pytorch/demo/experiment/demo_voc2007.py", line 63, in
main_voc2007()
File "/home/mukai/SPN.pytorch/demo/experiment/demo_voc2007.py", line 59, in main_voc2007
engine.multi_learning(model, criterion, train_dataset, val_dataset)
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 108, in multi_learning
state_dicts.append(self.learning(model, criterion, train_dataset, val_dataset, optimizer))
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 184, in learning
self.train(train_loader, model, criterion, optimizer, epoch)
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 211, in train
for i, (input, target) in enumerate(data_loader):
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/tqdm/_tqdm.py", line 862, in iter
for obj in iterable:
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 212, in next
return self._process_next_batch(batch)
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 239, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
RuntimeError: Traceback (most recent call last):
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 41, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 41, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/mukai/SPN.pytorch/demo/experiment/voc.py", line 247, in getitem
img = self.transform(img)
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torchvision/transforms.py", line 34, in call
img = t(img)
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 120, in
lambda x: x - torch.Tensor(model.image_normalization_mean).view(3, 1, 1),
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/tensor.py", line 274, in sub
return self.sub(other)
RuntimeError: inconsistent tensor size at /opt/conda/conda-bld/pytorch_1501969512886/work/pytorch-0.1.12/torch/lib/TH/generic/THTensorMath.c:831
It may send a inconsistent tensor to the function enumerate(data_loader).
I don't know how to fix it.
Hope your help.
When I run
bash runme.sh
, I encounter the exception below.Traceback (most recent call last): File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/mukai/SPN.pytorch/demo/experiment/demo_voc2007.py", line 63, in
main_voc2007()
File "/home/mukai/SPN.pytorch/demo/experiment/demo_voc2007.py", line 59, in main_voc2007
engine.multi_learning(model, criterion, train_dataset, val_dataset)
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 108, in multi_learning
state_dicts.append(self.learning(model, criterion, train_dataset, val_dataset, optimizer))
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 184, in learning
self.train(train_loader, model, criterion, optimizer, epoch)
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 211, in train
for i, (input, target) in enumerate(data_loader):
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/tqdm/_tqdm.py", line 862, in iter
for obj in iterable:
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 212, in next
return self._process_next_batch(batch)
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 239, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
RuntimeError: Traceback (most recent call last):
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 41, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 41, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/mukai/SPN.pytorch/demo/experiment/voc.py", line 247, in getitem
img = self.transform(img)
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torchvision/transforms.py", line 34, in call
img = t(img)
File "/home/mukai/SPN.pytorch/demo/experiment/engine.py", line 120, in
lambda x: x - torch.Tensor(model.image_normalization_mean).view(3, 1, 1),
File "/home/mukai/anaconda3/envs/py3.5/lib/python3.5/site-packages/torch/tensor.py", line 274, in sub
return self.sub(other)
RuntimeError: inconsistent tensor size at /opt/conda/conda-bld/pytorch_1501969512886/work/pytorch-0.1.12/torch/lib/TH/generic/THTensorMath.c:831
It may send a inconsistent tensor to the function
enumerate(data_loader)
. I don't know how to fix it. Hope your help.