# pytorch-aarch64 **Repository Path**: kumatea/pytorch-aarch64 ## Basic Information - **Project Name**: pytorch-aarch64 - **Description**: PyTorch wheels for aarch64 / ARM64, with vision, audio & text - **Primary Language**: Python - **License**: MIT - **Default Branch**: main - **Homepage**: https://torch.kmtea.eu - **GVP Project**: No ## Statistics - **Stars**: 6 - **Forks**: 5 - **Created**: 2020-12-25 - **Last Updated**: 2024-04-22 ## Categories & Tags **Categories**: machine-learning **Tags**: None ## README # pytorch-aarch64 [![Build Status][40]][41] [![Coverage][43]][16] [PyTorch][20] [torchvision][21] [torchaudio][22] [torchtext][28] 和 [torchcsprng][42] 的安装包 (whl) ，适用于 aarch64 / ARMv8 / ARM64 设备 [English](README.md) ([for GitHub][32]) | [Gitee][31] | [Web][33] ## 安装 ### [conda][58] 🆕 (测试中) **`conda install -c kumatea numpy pytorch`** 现已可用: * `torchvision` ### pip **`pip install torch -f https://cf.torch.kmtea.eu/whl/stable-cn.html`** 备用链接：`pip install torch -f https://torch.kmtea.eu/whl/stable-cn.html` 如有需要，添加 `torchvision` `torchaudio` `torchtext` `torchcsprng` 等包。 注意：此命令安装的是最新版本。 要选择特定的版本，请查看 [对应版本](README.md#corresponding-versions) 部分。 如果需要手动选择`whl`文件，请查看 **[release][16]** 。 ### Docker (即将弃用) **`docker run -it kumatea/pytorch`** 运行 `docker pull kumatea/pytorch` 以拉取镜像。 [点击此处][34] 查看所有版本。 ### [FastAI][27] [FastAI][27]是一个基于PyTorch的优秀[开源][25]高级深度学习框架。 #### conda (推荐) **`conda install -c fastai -c kumatea fastai`** 同样，`fastbook` 也可以用以下方法安装： `conda install -c fastai -c kumatea fastbook` #### pip `pip install fastai -f https://cf.torch.kmtea.eu/whl/stable.html` `torch` 和 `torchvision` 将作为依赖自动安装。 --- ## 附加信息 ### CUDA / CUDNN 支持 由于编译环境（见下）不包含 Nvidia GPU，无法支持 cuda 。 如有需要，请使用 [Nvidia Jetson][30] 开发板运行 [编译代码](build/torch.sh)。 ### 编译环境 > SoC：BCM2711 (四核A53) > > 架构：ARMv8 / ARM64 / `aarch64` 架构 > > 操作系统：Debian Buster > > 虚拟化：**Docker** [1]: http://openlabtesting.org:15000/badge?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-v1.4.0 [2]: https://img.shields.io/badge/build-passing-brightgreen [3]: http://openlabtesting.org:15000/badge?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-v1.5.0 [4]: https://img.shields.io/badge/build-pending-yellow [5]: http://openlabtesting.org:15000/badge?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-v1.6.0 [6]: https://img.shields.io/badge/build-running-blue [7]: http://openlabtesting.org:15000/badge?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py36 [8]: https://img.shields.io/badge/build-failed-red [9]: http://openlabtesting.org:15000/badge?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py37 [10]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.6.0 [11]: http://openlabtesting.org:15000/badge?project=pytorch%2Fpytorch&job_name=pytorch-arm64-build-daily-master-py38 [12]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.7.0 [13]: https://github.com/pytorch/vision#installation [14]: https://github.com/pytorch/audio#dependencies [15]: https://img.shields.io/badge/build-canceled-lightgrey [16]: https://github.com/KumaTea/pytorch-aarch64/releases [17]: https://pypi.org/project/torchtext/0.6.0/#files [18]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.7.1 [19]: https://status.openlabtesting.org/builds/builds?project=pytorch%2Fpytorch [20]: https://github.com/pytorch/pytorch [21]: https://github.com/pytorch/vision [22]: https://github.com/pytorch/audio [23]: https://linux-sunxi.org/H6 [24]: https://github.com/pytorch/pytorch/issues/33124#issuecomment-602048845 [25]: https://github.com/fastai/fastai [26]: https://www.anaconda.com/products/individual [27]: https://www.fast.ai [28]: https://github.com/pytorch/text [29]: https://github.com/pytorch/text#installation [30]: https://developer.nvidia.com/embedded/jetson-developer-kits [31]: https://gitee.com/kumatea/pytorch-aarch64 [32]: https://github.com/KumaTea/pytorch-aarch64 [33]: https://torch.kmtea.eu/ [34]: https://hub.docker.com/r/kumatea/pytorch [35]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.5.1 [36]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.5.0 [37]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.4.1 [38]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.4.0 [39]: https://github.com/KumaTea/pytorch-aarch64#official-pytorch-ci-builds [40]: https://travis-ci.org/KumaTea/pytorch-aarch64.svg?branch=main [41]: https://travis-ci.org/KumaTea/pytorch-aarch64 [42]: https://github.com/pytorch/csprng [43]: https://shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9%20%7C%203.10-blue [44]: https://shields.io/badge/ARM-v7%20%7C%20v8-blue [45]: https://github.com/KumaTea/pytorch-arm [46]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.8.0 [47]: https://www.ffmpeg.org [48]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.8.1 [49]: https://download.pytorch.org/whl/torch_stable.html [50]: https://circleci.com/gh/KumaTea/pytorch-aarch64.svg?style=svg [51]: https://circleci.com/gh/KumaTea/pytorch-aarch64 [52]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.9.0 [53]: https://github.com/KumaTea/pytorch-aarch64/issues/8 [54]: https://github.com/conda-forge/miniforge [55]: https://github.com/KumaTea/tensorflow-aarch64 [56]: https://github.com/KumaTea/pytorch-aarch64/releases/tag/v1.10.0 [57]: https://github.com/KumaTea/ext-whl [58]: https://anaconda.org/kumatea/pytorch