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---
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---
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## Introducation
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## Introduction
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This document introduces how to install PaddleClas and its requirements.
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This document introduces how to install PaddleClas and its requirements.
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## Install PaddlePaddle
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## Install PaddlePaddle
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Python 3.6, CUDA 9.0, CUDNN7.6.4 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than v1.7
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Python 3.x, CUDA 10.0, CUDNN7.6.4 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than 2.0.0rc1.
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Install PaddlePaddle
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Install PaddlePaddle
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```bash
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```bash
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pip install paddlepaddle-gpu --upgrade
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pip install paddlepaddle-gpu==2.0.0rc1 --upgrade
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```
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```
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or compile from source code, please refer to [Installation](http://www.paddlepaddle.org.cn/install/quick).
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or compile from source code, please refer to [Installation](http://www.paddlepaddle.org.cn/install/quick).
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```
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```
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Note:
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Note:
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- Make sure the compiled version is later than PaddlePaddle2.0rc.
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- Make sure the compiled version is later than PaddlePaddle2.0rc1.
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- Indicate **WITH_DISTRIBUTE=ON** when compiling, Please refer to [Instruction](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) for more details.
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- Indicate **WITH_DISTRIBUTE=ON** when compiling, Please refer to [Instruction](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) for more details.
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- When running in docker, in order to ensure that the container has enough shared memory for data read acceleration of Paddle, please set the parameter `--shm_size=8g` at creating a docker container, if conditions permit, you can set it to a larger value.
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- When running in docker, in order to ensure that the container has enough shared memory for data read acceleration of Paddle, please set the parameter `--shm_size=8g` at creating a docker container, if conditions permit, you can set it to a larger value.
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