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  • 3.0
  • develop
  • 3.0-beta
  • 2.6
  • 2.5
  • 2.4
  • 2.3
  • 2.2
  • 2.1
  • 2.0
  • 1.8
  • 中文(简)
  • English(En)
  • Installation Guide
    • Install via pip
      • Install on Linux via PIP
      • Install on MacOS via PIP
      • Install on Windows via PIP
    • Install via conda
      • Installation on Linux via Conda
      • Installation on MacOS via Conda
      • Installation on Windows via Conda
    • Install via docker
      • Install on Linux via Docker
      • Install on MacOS via Docker
    • Compile From Source Code
      • Compile on Linux from Source Code
      • Compile on MacOS from Source Code
      • Compile on Windows from Source Code
    • Paddle installation for machines with Kunlun XPU card
    • Appendix
  • Guides
    • Introduction
      • Basic Concept
        • Introduction to Tensor
        • Introduction to models and layers
        • Broadcasting
        • Automatic Mixed Precision Training
        • Gradient clip methods in Paddle
    • VisualDL Tools
      • Introduction to VisualDL Toolset
      • VisualDL user guide
    • Dygraph to Static Graph
      • 基本用法
      • Supported Grammars
      • Error Debugging Experience
    • Deploy Inference Model
      • Model Compression
    • Distributed Training
      • Quick start for distributed training
    • Write New Operators
      • How to write a new operator
      • Notes on operator development
      • Kernel Primitive API
        • API Description
          • API Description - IO
          • API Description - Compute
          • API Description - OpFunc
        • API Examples
          • ElementwiseAdd
          • Reduce
    • Practice Improving
    • How to contribute codes to Paddle
      • Guide of local development
      • Guide of submitting PR to Github
    • FLAGS
      • cudnn
      • data processing
      • debug
        • check nan inf tool
      • device management
      • distributed
      • executor
      • memory management
      • ascend npu
      • others
  • API Reference
  • 2.2.2 Release Note
  • Install via docker
  • »
  • Installation Guide »
  • Install via docker
  • Edit on GitHub

Install via docker¶

  • Install on Linux via Docker
    • Environment preparation
    • Installation steps
      • 1. Pull PaddlePaddle image
      • 2. Build and enter Docker container
    • Introduction to mirror images
    • Supplement
    • How to uninstall
  • Install on MacOS via Docker
    • Environment preparation
    • Installation steps
      • 1. Pull PaddlePaddle image
      • 2. Build and enter Docker container
    • Introduction to mirror images
    • Supplement
    • How to uninstall