Open WXONE opened 1 year ago
Python = 3.9.16 Mayavi = 4.8.1 VTK = 9.1.0
@wmvanvliet btw what torch version did u used?
File "<string>", line 1, in <module>
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 289, in run_path
return _run_module_code(code, init_globals, run_name,
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 96, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "P:\python\visualizations\scns\visualizations\multilayer_perceptron\mnist.py", line 97, in <module>
train(args, model, device, train_loader, optimizer, epoch)
File "P:\python\visualizations\scns\visualizations\multilayer_perceptron\mnist.py", line 13, in train
for batch_idx, (data, target) in enumerate(train_loader):
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 439, in __iter__
return self._get_iterator()
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 387, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 1040, in __init__
w.start()
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\context.py", line 336, in _Popen
return Popen(process_obj)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
Traceback (most recent call last):
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 1133, in _try_get_data
data = self._data_queue.get(timeout=timeout)
File "C:\Users\Daniel\AppData\Local\Programs\Python\Python310\lib\queue.py", line 179, in get
raise Empty
_queue.Empty
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "P:\python\visualizations\scns\visualizations\multilayer_perceptron\mnist.py", line 97, in <module>
train(args, model, device, train_loader, optimizer, epoch)
File "P:\python\visualizations\scns\visualizations\multilayer_perceptron\mnist.py", line 13, in train
for batch_idx, (data, target) in enumerate(train_loader):
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 631, in __next__
data = self._next_data()
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 1329, in _next_data
idx, data = self._get_data()
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 1285, in _get_data
success, data = self._try_get_data()
File "P:\python\visualizations\scns\venvv\lib\site-packages\torch\utils\data\dataloader.py", line 1146, in _try_get_data
raise RuntimeError(f'DataLoader worker (pid(s) {pids_str}) exited unexpectedly') from e
RuntimeError: DataLoader worker (pid(s) 26080) exited unexpectedly
that error looks like a problem with your pytorch installation. Do other datasets load properly? Try setting the number of workers to 0
to disable parallel processing and perhaps that sidesteps the problem you are having.
Hi,Hi, I ran this project on my own computer, and when I run the render file, it reports the error "traits.trait_errors.TraitError: The 'outline_color' trait of an OrientationMarkerWidget instance must be a tuple of the form: (0.0 <= a floating point number <= 1.0, 0.0 <= a floating point number <= 1.0, 0.0 <= a floating point number <= 1.0), but a value of '_000001ed0be99bb0_p_void' <class 'str'> was specified.", my mayavi version is 4.7.2, vtk version is 8.1.2, python version is 3.6, what version are you using?