torch.utlis.data

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The `torch.utils.data` module provides tools for working with data loaders in PyTorch. This module includes classes such as `Dataset`, `DataLoader`, and `Sampler`, which are used to load and preprocess data for training machine learning models.

The `Dataset` class is used to represent a dataset and provides an interface for accessing the data. The `DataLoader` class is used to load data from a dataset in batches, which is useful for training models in mini-batches. The `Sampler` class is used to control the order in which samples are loaded from the dataset.

Overall, the `torch.utils.data` module provides a lot of useful tools for working with data in PyTorch and is an essential part of the PyTorch ecosystem.