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TongyJia / MADN

Effective Meta-Attention Dehazing Networks for Vision-Based Outdoor Industrial Systems
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Unable to run the file. I request you to kindly check it and provide suitable comments to resolve the issue. #2

Open kumarballapavan opened 2 years ago

kumarballapavan commented 2 years ago

The error goes as follows:

runfile('D:/Study/NIT Research/Dehazing Matlab Codes/python/2021/J MADN-main/MADN-main/test.py', wdir='D:/Study/NIT Research/Dehazing Matlab Codes/python/2021/J MADN-main/MADN-main') C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.activation.LeakyReLU' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) [testing datasets]: 0%| | 0/471 [00:00<?, ?it/s]meta have 48691 parameters in total net have 556679 parameters in total [testing datasets]: 0%| | 0/471 [00:03<?, ?it/s] Traceback (most recent call last):

File "D:\Study\NIT Research\Dehazing Matlab Codes\python\2021\J MADN-main\MADN-main\test.py", line 103, in for image_name, input, target in test_bar:

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\tqdm\std.py", line 1195, in iter for obj in iterable:

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 368, in iter return self._get_iterator()

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 314, in _get_iterator return _MultiProcessingDataLoaderIter(self)

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 927, in init w.start()

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self)

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj)

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj)

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\popen_spawn_win32.py", line 89, in init reduction.dump(process_obj, to_child)

File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj)

BrokenPipeError: [Errno 32] Broken pipe

C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.activation.LeakyReLU' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) [testing datasets]: 0%| | 0/471 [00:00<?, ?it/s]C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.activation.LeakyReLU' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\serialization.py:786: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes. warnings.warn(msg, SourceChangeWarning) [testing datasets]: 0%| | 0/471 [00:00<?, ?it/s] Traceback (most recent call last): File "", line 1, in File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="mp_main") File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\Study\NIT Research\Dehazing Matlab Codes\python\2021\J MADN-main\MADN-main\test.py", line 103, in for image_name, input, target in test_bar: File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\tqdm\std.py", line 1195, in iter__ for obj in iterable: File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 368, in iter__ return self._get_iterator() File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 314, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 927, in init w.start() File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\popen_spawn_win32.py", line 46, in init prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data _check_not_importing_main() File "C:\Users\MY DELL\anaconda3\envs\cuda_pytorch\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.
TongyJia commented 2 years ago

Thank you for your attention, the training code works fine in my environment, please try to reconfigure the environment according to the Prerequisites prompts.