How can I solve this problem, Thank you!

[TGISer]

F:\ProgramData\Anaconda3\python.exe "E:/coding/domain adaptation/Xlearn-master/pytorch/src/train.py" {'name': 'JAN', 'trade_off': 1.0} Traceback (most recent call last): File "", line 1, in File "F:\ProgramData\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "F:\ProgramData\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "F:\ProgramData\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "F:\ProgramData\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="mp_main") File "F:\ProgramData\Anaconda3\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "F:\ProgramData\Anaconda3\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "F:\ProgramData\Anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "E:\coding\domain adaptation\Xlearn-master\pytorch\src\train.py", line 5, in import torch File "F:\ProgramData\Anaconda3\lib\site-packages\torch\init__.py", line 78, in from torch._C import * ImportError: DLL load failed: 页面文件太小，无法完成操作。 Traceback (most recent call last): File "E:/coding/domain adaptation/Xlearn-master/pytorch/src/train.py", line 292, in transfer_classification(config) File "E:/coding/domain adaptation/Xlearn-master/pytorch/src/train.py", line 224, in transfer_classification print(image_classification_test(dset_loaders["target"], nn.Sequential(base_network, bottleneck_layer, classifier_layer), test_10crop=prep_dict["target"]["test_10crop"], gpu=use_gpu)) File "E:/coding/domain adaptation/Xlearn-master/pytorch/src/train.py", line 63, in image_classification_test iter_test = [iter(loader['test'+str(i)]) for i in range(10)] File "E:/coding/domain adaptation/Xlearn-master/pytorch/src/train.py", line 63, in iter_test = [iter(loader['test'+str(i)]) for i in range(10)] File "F:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 451, in iter__ return _DataLoaderIter(self) File "F:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 239, in init w.start() File "F:\ProgramData\Anaconda3\lib\multiprocessing\process.py", line 105, in start self._popen = self._Popen(self) File "F:\ProgramData\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "F:\ProgramData\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "F:\ProgramData\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 65, in init reduction.dump(process_obj, to_child) File "F:\ProgramData\Anaconda3\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) BrokenPipeError: [Errno 32] Broken pipe