yinboc
commented
4 years ago Does the problem still exists when you follow the recommended environment setting and run in Linux/Mac?
Since convert_raw is only for visualizing the dataset, you can also delete all the convert_raw functions in the dataset classes, and set visualize_datasets: false in the configs. This should work if convert_raw is the only issue in your environment.
xqyd
I was testing the code with "python train_classifier.py --config configs/train_classifier_mini.yaml", and I got this error message. The output in my powershell console is:
set gpu: 0 ./save\classifier_mini-imagenet_resnet12 exists, remove? ([y]/n): y train dataset: torch.Size([3, 80, 80]) (x38400), 64 val dataset: torch.Size([3, 80, 80]) (x18748), 64 fs dataset: torch.Size([3, 80, 80]) (x12000), 20 num params: 8.0M train: 0%| | 0/1200 [00:00<?, ?it/s]Traceback (most recent call last): File "train_classifier.py", line 279, in
main(config)
File "train_classifier.py", line 147, in main
for data, label in tqdm(train_loader, desc='train', leave=False):
File "C:\Users\Administrator\anaconda3\lib\site-packages\tqdm\std.py", line 1107, in iter
for obj in iterable:
File "C:\Users\Administrator\anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 279, in iter
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\Administrator\anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 719, in init
w.start()
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 89, in init
reduction.dump(process_obj, to_child)
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'MiniImageNet.init..convert_raw'
PS D:\few-shot-meta-baseline-master> Traceback (most recent call last):
File "", line 1, in
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\Administrator\anaconda3\lib\multiprocessing\spawn.py", line 115, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
Have anyone run into the same problem under windows 10?