Thanks for your great work. When I run the code I meet this problem, can you give me some solutions or suggestions. I also found that this code only runs on the pyTorch <1.0.0 version.GPU_ids = 4 in the code is also a problem.
Making model...
Preparing loss function:
1.000 L1
[Epoch 1] Learning rate: 1.00e-4
rm: cannot remove 'experiment/SEAN_X2/log.txt': Device or resource busy
Making model...
Preparing loss function:
1.000 L1
[Epoch 1] Learning rate: 1.00e-4
Traceback (most recent call last):
File "", line 1, in
Traceback (most recent call last):
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 105, in spawn_main
File "main.py", line 19, in
t.train()
File "E:\rqc\github\SeaNet-PyTorch\Train\trainer.py", line 45, in train
exitcode = main(fd)
for batch, (lr, edge, hr, , idx_scale) in enumerate(self.loader_train):
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 114, in _main
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 144, in iter
prepare(preparation_data)
return _MSDataLoaderIter(self)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 225, in prepare
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 117, in init
w.start()
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\process.py", line 105, in start
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
self._popen = self._Popen(self)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 223, in _Popen
run_name="mp_main")
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\runpy.py", line 263, in run_path
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 322, in _Popen
pkg_name=pkg_name, script_name=fname)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\runpy.py", line 96, in _run_module_code
return Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\runpy.py", line 85, in _run_code
reduction.dump(process_obj, to_child)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\reduction.py", line 60, in dump
exec(code, runglobals)
File "E:\rqc\github\SeaNet-PyTorch\Train\main.py", line 19, in
ForkingPickler(file, protocol).dump(obj)
t.train()
BrokenPipeError: [Errno 32] Broken pipe
File "E:\rqc\github\SeaNet-PyTorch\Train\trainer.py", line 45, in train
for batch, (lr, edge, hr, , idx_scale) in enumerate(self.loader_train):
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 144, in iter__
return _MSDataLoaderIter(self)
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 117, in init
w.start()
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\popen_spawn_win32.py", line 33, in init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\lenovo\Anaconda3\envs\py4\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.
Thanks for your great work. When I run the code I meet this problem, can you give me some solutions or suggestions. I also found that this code only runs on the pyTorch <1.0.0 version.GPU_ids = 4 in the code is also a problem.
Making model... Preparing loss function: 1.000 L1 [Epoch 1] Learning rate: 1.00e-4 rm: cannot remove 'experiment/SEAN_X2/log.txt': Device or resource busy Making model... Preparing loss function: 1.000 L1 [Epoch 1] Learning rate: 1.00e-4 Traceback (most recent call last): File "", line 1, in
Traceback (most recent call last):
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 105, in spawn_main
File "main.py", line 19, in
t.train()
File "E:\rqc\github\SeaNet-PyTorch\Train\trainer.py", line 45, in train
exitcode = main(fd)
for batch, (lr, edge, hr, , idx_scale) in enumerate(self.loader_train):
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 114, in _main
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 144, in iter
prepare(preparation_data)
return _MSDataLoaderIter(self)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 225, in prepare
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 117, in init
w.start()
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\process.py", line 105, in start
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
self._popen = self._Popen(self)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 223, in _Popen
run_name="mp_main")
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\runpy.py", line 263, in run_path
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 322, in _Popen
pkg_name=pkg_name, script_name=fname)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\runpy.py", line 96, in _run_module_code
return Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\runpy.py", line 85, in _run_code
reduction.dump(process_obj, to_child)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\reduction.py", line 60, in dump
exec(code, runglobals)
File "E:\rqc\github\SeaNet-PyTorch\Train\main.py", line 19, in
ForkingPickler(file, protocol).dump(obj)
t.train()
BrokenPipeError: [Errno 32] Broken pipe
File "E:\rqc\github\SeaNet-PyTorch\Train\trainer.py", line 45, in train
for batch, (lr, edge, hr, , idx_scale) in enumerate(self.loader_train):
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 144, in iter__
return _MSDataLoaderIter(self)
File "E:\rqc\github\SeaNet-PyTorch\Train\dataloader.py", line 117, in init
w.start()
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\popen_spawn_win32.py", line 33, in init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\lenovo\Anaconda3\envs\py4\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\lenovo\Anaconda3\envs\py4\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.