shortcut sparse training
Reading labels (12410 found, 0 missing, 0 empty for 12410 images): 100%|█| 12410/12410 [06:07<00:00, 33.80
Model Summary: 61 layers, 5.87412e+06 parameters, 5.87412e+06 gradients
Starting training for 300 epochs...
Epoch gpu_mem GIoU obj cls total soft rratio targets img_size
0%| | 0/388 [00:01<?, ?it/s]
Traceback (most recent call last):
File "train.py", line 542, in <module>
train() # train normally
File "train.py", line 308, in train
for i, (imgs, targets, paths, _) in pbar: # batch -------------------------------------------------------------
File "/home/zzw/miniconda3/lib/python3.8/site-packages/tqdm/std.py", line 1167, in __iter__
for obj in iterable:
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 435, in __next__
data = self._next_data()
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1085, in _next_data
return self._process_data(data)
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1111, in _process_data
data.reraise()
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 428, in reraise
raise self.exc_type(msg)
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop
data = fetcher.fetch(index)
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/zzw/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/zzw/Desktop/yolov3-channel-and-layer-pruning/utils/datasets.py", line 453, in __getitem__
img, labels = random_affine(img, labels,
File "/home/zzw/Desktop/yolov3-channel-and-layer-pruning/utils/datasets.py", line 654, in random_affine
if targets == None:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
我使用已经训练好的模型进行稀疏训练报错了