目录

Pytorch Arrow 文档

这个库是 PyTorch 项目的一部分。PyTorch 是一个开源的深度学习框架。

TorchArrow 是一个类似于 torch.Tensor 的 Python DataFrame 库,用于在深度学习中进行数据预处理。它支持多个执行运行时和 Arrow 作为常见的格式。

本文档中描述的功能按发布状态进行分类:

Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation. We also expect to maintain backwards compatibility (although breaking changes can happen and notice will be given one release ahead of time).

Beta: Features are tagged as Beta because the API may change based on user feedback, because the performance needs to improve, or because coverage across operators is not yet complete. For Beta features, we are committing to seeing the feature through to the Stable classification. We are not, however, committing to backwards compatibility.

Prototype: These features are typically not available as part of binary distributions like PyPI or Conda, except sometimes behind run-time flags, and are at an early stage for feedback and testing.

索引

文档

访问 PyTorch 的全面开发人员文档

查看文档

教程

获取面向初学者和高级开发人员的深入教程

查看教程

资源

查找开发资源并解答您的问题

查看资源