22.11.2020 · 🐛 Bug When I set up pinned_memory and persistent_workers to True and then start iterating the data loader the second time, it crashes: Traceback (most recent call last): File "C:\Users\denis\anaconda3\envs\fcdd\lib\threading.py", line 87...
04.11.2019 · Hi, Can you verify that your dataloader properly calls super().__init__() during its initialization? It looks like some fields that are populated during the DataLoader class initialization are not set in your case.
09.11.2020 · Just a beginner taking course at https://course.fast.ai/ Setup new environment on my laptop: Anaconda3-2020.07-Windows-x86_64 conda install pytorch torchvision torchaudio cpuonly -c pytorch conda install -c fastai -c…
DataLoader` supports both map-style and iterable-style datasets with ... 'persistent_workers'): raise ValueError('{} attribute should not be set after {} is ...
24.07.2021 · AttributeError: ‘DataLoader’ object has no attribute ‘persistent_workers’ I’ve been searching in the source code for the class to see if there is such an attribute there and there is. dict also proves that there is such an attribute. So what gives? Any help would be appreciated!
Data loader. Combines a dataset and a sampler, and provides an iterable over. the given dataset. The :class:`~torch.utils.data.DataLoader` supports both map-style and. iterable-style datasets with single- or multi-process loading, customizing. loading order and optional automatic batching (collation) and memory pinning.
13.05.2021 · You are not creating your dataset object correctly. Currently, you do: trainset = cows_train. This only assigns the class type to trainset. To create an object of the class, you need to use: folder_path = '/path/to/dataset/' trainset = cows_train (folder_path) Share. Follow this answer to receive notifications. answered May 13 '21 at 15:01.