热门搜索:
paddlepaddle/paddle
paddlepaddle
并行分布式深度学习是一种通过将深度学习任务按数据并行、模型并行或混合并行等方式分解，并分配到多台计算机或计算节点（如CPU、GPU集群）上协同执行的技术，旨在加速大规模数据集和复杂模型的训练过程，通过并行计算提升效率、缩短训练时间，广泛应用于图像识别、自然语言处理、推荐系统、自动驾驶等领域，是应对海量数据和高复杂度模型训练挑战、推动人工智能技术规模化落地的关键支撑技术之一。
140 次收藏下载次数: 0状态：社区镜像维护者：paddlepaddle仓库类型：镜像最近更新：2 个月前
让 AI 帮你使用轩辕镜像？ · 展开查看说明
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具，协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题，请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可：
请先完整阅读并严格遵守以下文档中的全部规则与要求：
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前，不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式，不推荐豆包 AI；Cursor 等编辑器可在对话 @ 该链接，或加入 User Rules。 若 AI 无法访问外链，可 打开说明文档 复制全文粘贴。文档会随站点更新，复制内容可能过期，建议定期检查。
PaddlePaddle
 is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.
Our vision is to enable deep learning for everyone via PaddlePaddle. Please refer to our https://github.com/PaddlePaddle/Paddle/releases to track the latest feature of PaddlePaddle.
Features
-
Flexibility
PaddlePaddle supports a wide range of neural network architectures and optimization algorithms. It is easy to configure complex models such as neural machine translation model with attention mechanism or complex memory connection.
-
Efficiency
In order to unleash the power of heterogeneous computing resource, optimization occurs at different levels of PaddlePaddle, including computing, memory, architecture and communication. The following are some examples:
- Optimized math operations through SSE/AVX intrinsics, BLAS libraries (e.g. MKL, OpenBLAS, cuBLAS) or customized CPU/GPU kernels.
- Optimized CNN networks through MKL-DNN library.
- Highly optimized recurrent networks which can handle variable-length sequence without padding.
- Optimized local and distributed training for models with high dimensional sparse data.
-
Scalability
With PaddlePaddle, it is easy to use many CPUs/GPUs and machines to speed up your training. PaddlePaddle can achieve high throughput and performance via optimized communication.
-
Connected to Products
In addition, PaddlePaddle is also designed to be easily deployable. At Baidu, PaddlePaddle has been deployed into products and services with a vast number of users, including ad click-through rate (CTR) prediction, large-scale image classification, optical character recognition(OCR), search ranking, computer virus detection, recommendation, etc. It is widely utilized in products at Baidu and it has achieved a significant impact. We hope you can also explore the capability of PaddlePaddle to make an impact on your product.
Installation
It is recommended to read this doc on our website.
Documentation
We provide English and Chinese documentation.
-
https://github.com/PaddlePaddle/book
You might want to start from this online interactive book that can run in a Jupyter Notebook.
-
Distributed Training
You can run distributed training jobs on MPI clusters.
-
Python API
Our new API enables much shorter programs.
-
How to Contribute
We appreciate your contributions!
Ask Questions
You are welcome to submit questions and bug reports as https://github.com/PaddlePaddle/Paddle/issues.
Copyright and License
PaddlePaddle is provided under the Apache-2.0 license.
更多相关 Docker 镜像与资源
以下是 paddlepaddle/paddle 相关的常用 Docker 镜像，适用于 不同场景 等不同场景：
- nvidia/cuda Docker 镜像说明
- pytorch/pytorch Docker 镜像说明
- rocker/cuda Docker 镜像说明（CUDA 运行时，Rocker 维护版本，适合 GPU 计算）
- bitnami/pytorch Docker 镜像说明（PyTorch 深度学习框架，Bitnami 企业级配置）
- rocm/pytorch Docker 镜像说明（PyTorch 机器学习框架，ROCm GPU 加速版本）
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 paddle 镜像标签
docker pull docker.xuanyuan.run/paddlepaddle/paddle:<标签>
DockerHub 原生拉取命令
docker pull paddlepaddle/paddle:<标签>
更多 paddle 镜像推荐
haidee/paddle
haidee
paddle images
1.1千+ 次下载
4 年前更新
louishp/paddle
louishp
paddle
285 次下载
9 年前更新
o0o0o/paddle
o0o0o
PaddlePaddle是由百度开发的易用、高效、灵活且可扩展的深度学习平台，支持多种神经网络架构和优化算法，适用于从研究到产品部署的各类深度学习任务。
5.7千+ 次下载
7 年前更新
wadefelix/paddle
wadefelix
基于jupyter:singleuser的Paddle镜像，默认用户名为paddle，密码为paddle，提供Jupyter单用户环境，便于快速搭建和使用Jupyter开发环境。
277 次下载
5 年前更新
samuelsodhs/paddle
samuelsodhs
暂无描述
1.5千+ 次下载
11 个月前更新
paddlepaddlece/paddle
paddlepaddlece
暂无描述
231 次下载
7 年前更新
镜像拉取常见问题
功能
错误码
用户好评
来自真实用户的反馈，见证轩辕镜像的优质服务
oldzhang
运维工程师
Linux服务器
5
"Docker访问体验非常流畅，大镜像也能快速完成下载。"