稀疏化训练完后并没有生成 cfg 文件，直接剪枝报错

[lguopeng]

其中 prune_tiny_yolo.py 文件的 opt 参数如下
model_def = "cfg/yolov3-tiny.cfg"
data_config = "cfg/oxfordhand.data"
model = 'weights/last.pt'

报错：
The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "prune_tiny_yolo.py", line 38, in
origin_model_metric = eval_model(model)
File "prune_tiny_yolo.py", line 33, in
eval_model = lambda model:test(model=model,cfg=opt.model_def, data=opt.data_config)
File "E:\python\YOLOv3-complete-pruning-master\test.py", line 69, in test
for batch_i, (imgs, targets, paths, shapes) in enumerate(tqdm(dataloader, desc=s)):
File "D:\programs\Python38\lib\site-packages\tqdm\std.py", line 1167, in iter
for obj in iterable:
File "D:\programs\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 435, in next
data = self._next_data()
File "D:\programs\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 1068, in _next_data
idx, data = self._get_data()
File "D:\programs\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 1034, in _get_data
success, data = self._try_get_data()
File "D:\programs\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 885, in _try_get_data
raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e
RuntimeError: DataLoader worker (pid(s) 8948, 244, 10520, 3460) exited unexpectedly

[lguopeng]

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