RecursionError: maximum recursion depth exceeded in __instancecheck__

[wangfusheng-cqu]

RUNDIR: runs/fcn8s_nyuv2/11739
Traceback (most recent call last):
File "/home/wangfusheng18/fengeduibifangfa/pytorch-semseg-master/train.py", line 250, in
train(cfg, writer, logger)
File "/home/wangfusheng18/fengeduibifangfa/pytorch-semseg-master/train.py", line 118, in train
for (images, labels) in trainloader:
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 336, in next
return self._process_next_batch(batch)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
RecursionError: Traceback (most recent call last):
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/wangfusheng18/fengeduibifangfa/pytorch-semseg-master/ptsemseg/loader/nyuv2_loader.py", line 83, in getitem
return self.getitem(np.random.randint(0, self.len()))
File "/home/wangfusheng18/fengeduibifangfa/pytorch-semseg-master/ptsemseg/loader/nyuv2_loader.py", line 83, in getitem
return self.getitem(np.random.randint(0, self.len()))
File "/home/wangfusheng18/fengeduibifangfa/pytorch-semseg-master/ptsemseg/loader/nyuv2_loader.py", line 83, in getitem
return self.getitem(np.random.randint(0, self.len()))
[Previous line repeated 959 more times]
File "/home/wangfusheng18/fengeduibifangfa/pytorch-semseg-master/ptsemseg/loader/nyuv2_loader.py", line 76, in getitem
img = np.load(img_path)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/numpy/lib/npyio.py", line 453, in load
pickle_kwargs=pickle_kwargs)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/numpy/lib/format.py", line 712, in read_array
shape, fortran_order, dtype = _read_array_header(fp, version)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/numpy/lib/format.py", line 578, in _read_array_header
d = safe_eval(header)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/site-packages/numpy/lib/utils.py", line 1139, in safe_eval
return ast.literal_eval(source)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/ast.py", line 85, in literal_eval
return _convert(node_or_string)
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/ast.py", line 66, in _convert
in zip(node.keys, node.values))
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/ast.py", line 65, in
return dict((_convert(k), _convert(v)) for k, v
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/ast.py", line 59, in _convert
return tuple(map(_convert, node.elts))
File "/home/wangfusheng18/.conda/envs/torch0.4.1/lib/python3.6/ast.py", line 54, in _convert
elif isinstance(node, (Str, Bytes)):
RecursionError: maximum recursion depth exceeded in instancecheck

[wangfusheng-cqu]

Hi, How to deal with it.