pytorch_geometric运行dgcnn_segmentation.py报错（Windows10+cu101）

运行pytorch_geometric-master，下examples中的程序dgcnn_segmentation.py出现如下错误，问题应该出现在这段代码collate_fn=lambda batch: collate(batch)，没有找到解决方法？，

super(DataLoader,
              self).__init__(dataset, batch_size, shuffle,
                             collate_fn=lambda batch: collate(batch), **kwargs)

 

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
 in 
     86 
     87 for epoch in range(1, 31):
---> 88     train()
     89     acc, iou = test(test_loader)
     90     print('Epoch: {:02d}, Acc: {:.4f}, IoU: {:.4f}'.format(epoch, acc, iou))

 in train()
     32 
     33     total_loss = correct_nodes = total_nodes = 0
---> 34     for i, data in enumerate(train_loader):
     35         data = data.to(device)
     36         optimizer.zero_grad()

D:\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in __iter__(self)
    276             return _SingleProcessDataLoaderIter(self)
    277         else:
--> 278             return _MultiProcessingDataLoaderIter(self)
    279 
    280     @property

D:\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in __init__(self, loader)
    680             #     before it starts, and __del__ tries to join but will get:
    681             #     AssertionError: can only join a started process.
--> 682             w.start()
    683             self._index_queues.append(index_queue)
    684             self._workers.append(w)

D:\Anaconda3\lib\multiprocessing\process.py in start(self)
    110                'daemonic processes are not allowed to have children'
    111         _cleanup()
--> 112         self._popen = self._Popen(self)
    113         self._sentinel = self._popen.sentinel
    114         # Avoid a refcycle if the target function holds an indirect

D:\Anaconda3\lib\multiprocessing\context.py in _Popen(process_obj)
    221     @staticmethod
    222     def _Popen(process_obj):
--> 223         return _default_context.get_context().Process._Popen(process_obj)
    224 
    225 class DefaultContext(BaseContext):

D:\Anaconda3\lib\multiprocessing\context.py in _Popen(process_obj)
    320         def _Popen(process_obj):
    321             from .popen_spawn_win32 import Popen
--> 322             return Popen(process_obj)
    323 
    324     class SpawnContext(BaseContext):

D:\Anaconda3\lib\multiprocessing\popen_spawn_win32.py in __init__(self, process_obj)
     87             try:
     88                 reduction.dump(prep_data, to_child)
---> 89                 reduction.dump(process_obj, to_child)
     90             finally:
     91                 set_spawning_popen(None)

D:\Anaconda3\lib\multiprocessing\reduction.py in dump(obj, file, protocol)
     58 def dump(obj, file, protocol=None):
     59     '''Replacement for pickle.dump() using ForkingPickler.'''
---> 60     ForkingPickler(file, protocol).dump(obj)
     61 
     62 #

AttributeError: Can't pickle local object 'DataLoader.__init__..'