PaddleClas/docs/en/tutorials/install_en.md

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# Installation
---
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## Introduction
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This document introduces how to install PaddleClas and its requirements.
## Install PaddlePaddle
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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
```bash
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pip install paddlepaddle-gpu==2.0.0rc1 --upgrade
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```
or compile from source code, please refer to [Installation](http://www.paddlepaddle.org.cn/install/quick).
Verify Installation
```python
import paddle
paddle.utils.run_check()
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```
Check PaddlePaddle version
```bash
python -c "import paddle; print(paddle.__version__)"
```
Note:
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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.
- 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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## Install PaddleClas
**Clone PaddleClas: **
```
cd path_to_clone_PaddleClas
git clone https://github.com/PaddlePaddle/PaddleClas.git
```
**Install requirements**
```
pip install --upgrade -r requirements.txt
```
If the install process of visualdl failed, you can try the following commands.
```
pip3 install --upgrade visualdl==2.0.0b3 -i https://mirror.baidu.com/pypi/simple
```
What's more, visualdl is just supported in python3, so python3 is needed if you want to use visualdl.