hi I had some problem. Can you help me? about mmskeleton HOT 4 CLOSED

Hi, LinCh,
Can you give me more details such as which sentence results in this error?

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hi I fix this problem
I reload my NTU-RGB-D dataset
It is work
But I had the new problem when I train the model
"File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
OverflowError: cannot serialize a bytes object larger than 4 GiB"
Is it possible that my GPU is too old?
I only GT 740 in my device.
So Pytorch not support?
Thank you help

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Hi, yysijie.
Thank you for your reply.
This is all the error messages.
[ Tue Mar 27 09:41:31 2018 ] Training epoch: 1
Traceback (most recent call last):
File "main.py", line 426, in
processor.start()
File "main.py", line 371, in start
self.train(epoch, save_model=save_model)
File "main.py", line 283, in train
for batch_idx, (data, label) in enumerate(loader):
File "C:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\torch\utils\data\dataloader.py", line 417, in iter
return DataLoaderIter(self)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\torch\utils\data\dataloader.py", line 234, in init
w.start()
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "C:\Anaconda3\envs\tensorflow-gpu\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
OverflowError: cannot serialize a bytes object larger than 4 GiB

And the warning he say
Found GPU0 GeForce GT 740 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.

So I guess the problem that my device is too old.
What's your opinion?
Thank you

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Thank you for the detailed information.
If you can run the test code correctly, we can rule out the possibility that GPUs are too old.
But I have not tested my code on Windows System. The Win32 System or the python version you used may not support storing files larger than 4GB, which will cause this error. Try to modify the config file, use the test set (which is small) as the training set.

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