The manuals will guide you to build and install PaddlePaddle on your 64-bit desktop or laptop.
The manuals will guide you to build and install PaddlePaddle on your 64-bit desktop or laptop.
1. Operating system requirements:
1. Operating system requirements:
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* Windows 7 / 8 / 10, Pro/Enterprise
* Windows 7 / 8 / 10, Pro/Enterprise
* Ubuntu 14.04 / 16.04 / 18.04
* Ubuntu 14.04 / 16.04 / 18.04
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* 64-bit operating system is required
* 64-bit operating system is required
2. Processor requirements:
2. Processor requirements:
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* Processor supports MKL
* Processor supports MKL
* The processor architecture is x86_64(or called x64, Intel 64, AMD64). Currently, PaddlePaddle does not support arm64.
* The processor architecture is x86_64(or called x64, Intel 64, AMD64). Currently, PaddlePaddle does not support arm64.
3. Version requirements of python and pip:
3. Version requirements of python and pip:
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* Python 2 requires version 2.7.15+
* Python 2 requires version 2.7.15+
* Python 3 requires version 3.5.1+/3.6/3.7
* Python 3 requires version 3.5.1+/3.6/3.7
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* Python and pip requires 64-bit
* Python and pip requires 64-bit
4. PaddlePaddle's support for GPU:
4. PaddlePaddle's support for GPU:
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* Currently, **PaddlePaddle** only supports **CUDA** driver of **NVIDIA** graphics card.
* Currently, **PaddlePaddle** only supports **CUDA** driver of **NVIDIA** graphics card.
* You need to install `cuDNN <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/>`_ , and version 7.6+ is required(For CUDA9/10)
* You need to install `cuDNN <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/>`_ , and version 7.6+ is required(For CUDA9/10)
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Please make sure your environment meets the above conditions. If you have other requirements, please refer to `Appendix <Tables_en.html#ciwhls>`_ .
Please make sure your environment meets the above conditions. If you have other requirements, please refer to `Appendix <Tables_en.html#ciwhls>`_ .
5. PaddlePaddle's support for NCCL:
5. PaddlePaddle's support for NCCL:
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* Support for Windows
* Support for Windows
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The first way to install: use pip to install
The first way to install: use pip to install
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You can choose any of the four ways to install: "use pip to install", "use Conda to install", "use Docker to install", "compiling from the source code"
You can choose any of the four ways to install: "use pip to install", "use Conda to install", "use Docker to install", "compiling from the source code"
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