Datasets & DataLoaders — PyTorch Tutorials 2.9.0+cu128 …
PyTorch provides two data primitives: torch.utils.data.DataLoader and torch.utils.data.Dataset that allow you to use pre-loaded datasets as well as your own data.
torch.utils.data — PyTorch 2.9 documentation
Jun 13, 2025 · Data loader combines a dataset and a sampler, and provides an iterable over the given dataset. The DataLoader supports both map-style and iterable-style datasets with single- or multi …
Writing Custom Datasets, DataLoaders and Transforms - PyTorch
PyTorch provides many tools to make data loading easy and hopefully, to make your code more readable. In this tutorial, we will see how to load and preprocess/augment data from a non trivial …
Training with PyTorch — PyTorch Tutorials 2.9.0+cu128 documentation
The DataLoader pulls instances of data from the Dataset (either automatically or with a sampler that you define), collects them in batches, and returns them for consumption by your training loop. The …
A guide on good usage of - PyTorch
PyTorch notoriously provides a DataLoader class whose constructor accepts a pin_memory argument. Considering our previous discussion on pin_memory, you might wonder how the DataLoader …
Quickstart — PyTorch Tutorials 2.9.0+cu128 documentation
PyTorch has two primitives to work with data: torch.utils.data.DataLoader and torch.utils.data.Dataset. Dataset stores the samples and their corresponding labels, and DataLoader wraps an iterable …
Performance Tuning Guide — PyTorch Tutorials 2.9.0+cu128 …
torch.utils.data.DataLoader supports asynchronous data loading and data augmentation in separate worker subprocesses. The default setting for DataLoader is num_workers=0, which means that the …
Reproducibility — PyTorch 2.9 documentation
Sep 11, 2018 · Completely reproducible results are not guaranteed across PyTorch releases, individual commits, or different platforms. Furthermore, results may not be reproducible between CPU and …
DataLoader persistent_workers Usage - data - PyTorch Forums
Oct 3, 2023 · Hello, I’m trying to better understand the operation of the persistent_workers option for DataLoader. My understanding is that the dataloader will not stop the worker processes that have …
Datasets — Torchvision 0.24 documentation
Built-in datasets All datasets are subclasses of torch.utils.data.Dataset i.e, they have __getitem__ and __len__ methods implemented. Hence, they can all be passed to a torch.utils.data.DataLoader which …