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Pytorch 和 CUDA 版本对应关系

作者：百度搜索：蓝易云

2023-12-30
四川
本文字数：504 字
阅读完需：约 2 分钟

PyTorch 是一个开源的机器学习框架，它广泛用于深度学习任务。PyTorch 可以利用 NVIDIA 的 CUDA 技术加速计算，从而提高深度学习模型的训练和推理性能。以下是 PyTorch 和 CUDA 版本对应关系的示例：

PyTorch 1.0.x - 支持 CUDA 7.5
PyTorch 1.1.x - 支持 CUDA 8.0
PyTorch 1.2.x - 支持 CUDA 9.0
PyTorch 1.3.x - 支持 CUDA 9.2
PyTorch 1.4.x - 支持 CUDA 10.1
PyTorch 1.5.x - 支持 CUDA 10.2
PyTorch 1.6.x - 支持 CUDA 11.0
PyTorch 1.7.x - 支持 CUDA 11.0/11.1
PyTorch 1.8.x - 支持 CUDA 11.1/11.2
PyTorch 1.9.x - 支持 CUDA 11.1/11.2/11.3
PyTorch 1.10.x - 支持 CUDA 11.1/11.2/11.3/11.4

请注意，上述版本对应关系只是示例，并非详尽无遗。实际上，PyTorch 的每个版本通常会支持多个 CUDA 版本，而具体支持的 CUDA 版本也可能因操作系统、硬件配置等因素而有所不同。因此，在使用 PyTorch 时，建议参考 PyTorch 官方文档或社区支持的信息，以获取最准确和最新的 PyTorch 与 CUDA 版本对应关系。

希望这个回答对你有所帮助，如果有任何进一步的疑问，请随时提问。

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最后修改：2023 年 07 月 01 日

发布于: 刚刚阅读数: 5

原文链接:【http://xie.infoq.cn/article/f0e0256cd4e70b4e47dfad6fe】。文章转载请联系作者。

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