torch.utlis.data
时间: 2024-05-29 13:11:10 浏览: 12
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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.
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