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after running the code got this error. how can i fix this? plz help.
i used nvidia titan xp gpu.
Traceback (most recent call last):
File "", line 1, in
runfile('C:/Users/User/Desktop/saif/DenseNet-MURA-PyTorch-master/main.py', wdir='C:/Users/User/Desktop/saif/DenseNet-MURA-PyTorch-master')
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/User/Desktop/saif/DenseNet-MURA-PyTorch-master/main.py", line 51, in
model = train_model(model, criterion, optimizer, dataloaders, scheduler, dataset_sizes, num_epochs=5)
File "C:\Users\User\Desktop\saif\DenseNet-MURA-PyTorch-master\train.py", line 30, in train_model
for i, data in enumerate(dataloaders[phase]):
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\torch\utils\data\dataloader.py", line 501, in iter
return _DataLoaderIter(self)
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\torch\utils\data\dataloader.py", line 289, in init
w.start()
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\popen_spawn_win32.py", line 66, in init
reduction.dump(process_obj, to_child)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\reduction.py", line 59, in dump
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
The text was updated successfully, but these errors were encountered:
can you give me the loss vs accuracy graphs or loss and accuracy value for all seven type? it would be very helpful for me. i need these value for my under grad thesis purpose , i need to compare them with the result i got from my architecture.
thanks in advance.
after running the code got this error. how can i fix this? plz help.
i used nvidia titan xp gpu.
Traceback (most recent call last):
File "", line 1, in
runfile('C:/Users/User/Desktop/saif/DenseNet-MURA-PyTorch-master/main.py', wdir='C:/Users/User/Desktop/saif/DenseNet-MURA-PyTorch-master')
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/User/Desktop/saif/DenseNet-MURA-PyTorch-master/main.py", line 51, in
model = train_model(model, criterion, optimizer, dataloaders, scheduler, dataset_sizes, num_epochs=5)
File "C:\Users\User\Desktop\saif\DenseNet-MURA-PyTorch-master\train.py", line 30, in train_model
for i, data in enumerate(dataloaders[phase]):
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\torch\utils\data\dataloader.py", line 501, in iter
return _DataLoaderIter(self)
File "C:\Users\User\Anaconda3\envs\thesis\lib\site-packages\torch\utils\data\dataloader.py", line 289, in init
w.start()
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\popen_spawn_win32.py", line 66, in init
reduction.dump(process_obj, to_child)
File "C:\Users\User\Anaconda3\envs\thesis\lib\multiprocessing\reduction.py", line 59, in dump
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
The text was updated successfully, but these errors were encountered: