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I try to run train.py and follow the setup, but I cannot create environment by the .yml of MapNet because packages are incompatible with each other. Therefore, I created an environment myself. My system is Win 10 and CUDA is 9.2. The below are the packages I installed (via pip):
1 False
Epoch 0 checkpoint saved for VLocNet
Traceback (most recent call last):
File "train.py", line 207, in <module>
trainer.train_val()
File "C:\Users\Tu\GitHub\VLocNet\model\trainer.py", line 396, in train_val
for batch_idx, (data, target) in enumerate(self.train_loader):
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\site-packages\torch\utils\data\dataloader.py", line 501, in __iter__
return _DataLoaderIter(self)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\site-packages\torch\utils\data\dataloader.py", line 289, in __init__
w.start()
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
reduction.dump(process_obj, to_child)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <function <lambda> at 0x0000024739E4E048>: attribute lookup <lambda> on __main__ failed
1 False
Epoch 0 checkpoint saved for VLocNet
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\Tu\GitHub\VLocNet\train.py", line 207, in <module>
trainer.train_val()
File "C:\Users\Tu\GitHub\VLocNet\model\trainer.py", line 396, in train_val
for batch_idx, (data, target) in enumerate(self.train_loader):
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\site-packages\torch\utils\data\dataloader.py", line 501, in __iter__
return _DataLoaderIter(self)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\site-packages\torch\utils\data\dataloader.py", line 289, in __init__
w.start()
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\popen_spawn_win32.py", line 46, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\Tu\Miniconda3\envs\VLocNet\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
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.
It looks like multiprocessing problem, but I can't solve it. And I think the problem maybe is version of the packages. Could you give me your packages' version?
Thanks.
The text was updated successfully, but these errors were encountered:
Hello,
I try to run train.py and follow the setup, but I cannot create environment by the .yml of MapNet because packages are incompatible with each other. Therefore, I created an environment myself. My system is Win 10 and CUDA is 9.2. The below are the packages I installed (via pip):
python = 3.7
torch = 0.4.1
torchvision = 0.2.1
pillow = 6.1.0
tensorvoardX = 1.4
numpy-quaternion
transforms3d
numba
scipy
Then I run train.py and get the following error:
It looks like multiprocessing problem, but I can't solve it. And I think the problem maybe is version of the packages. Could you give me your packages' version?
Thanks.
The text was updated successfully, but these errors were encountered: