PaddleClas/docs/en/others/train_on_xpu_en.md

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# Introduction to Image Classification Model Kunlun (Continuously updated)
------
## Contents
- [1. Foreword](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.3/docs/zh_CN/others/train_on_xpu.md#1)
- [2. Training of Kunlun](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.3/docs/zh_CN/others/train_on_xpu.md#2)
- [2.1 ResNet50](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.3/docs/zh_CN/others/train_on_xpu.md#2.1)
- [2.2 MobileNetV3](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.3/docs/zh_CN/others/train_on_xpu.md#2.2)
- [2.3 HRNet](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.3/docs/zh_CN/others/train_on_xpu.md#2.3)
- [2.4 VGG16/19](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.3/docs/zh_CN/others/train_on_xpu.md#2.4)
## 1. Forword
- This document describes the models currently supported by Kunlun and how to train these models on Kunlun devices. To install PaddlePaddle that supports Kunlun, please refer to install_kunlun(https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/install/install_Kunlun_zh.md)
## 2. Training of Kunlun
- See [quick_start](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.3/docs/zh_CN/quick_start/quick_start_ classification_new_user.md) for data sources and pre-trained models. The training effect of Kunlun is aligned with CPU/GPU.
### 2.1 ResNet50
- Command:
```
python3.7 ppcls/static/train.py \
-c ppcls/configs/quick_start/kunlun/ResNet50_vd_finetune_kunlun.yaml \
-o use_gpu=False \
-o use_xpu=True \
-o is_distributed=False
```
The difference with cpu/gpu training lies in the addition of -o use_xpu=True, indicating that the execution is on a Kunlun device.
### 2.2 MobileNetV3
- Command
```
python3.7 ppcls/static/train.py \
-c ppcls/configs/quick_start/MobileNetV3_large_x1_0.yaml \
-o use_gpu=False \
-o use_xpu=True \
-o is_distributed=False
```
### 2.3 HRNet
- Command
```
python3.7 ppcls/static/train.py \
-c ppcls/configs/quick_start/kunlun/HRNet_W18_C_finetune_kunlun.yaml \
-o is_distributed=False \
-o use_xpu=True \
-o use_gpu=False
```
### 2.4 VGG16/19
- Command
```
python3.7 ppcls/static/train.py \
-c ppcls/configs/quick_start/VGG16_finetune_kunlun.yaml \
-o use_gpu=False \
-o use_xpu=True \
-o is_distributed=False
python3.7 ppcls/static/train.py \
-c ppcls/configs/quick_start/VGG19_finetune_kunlun.yaml \
-o use_gpu=False \
-o use_xpu=True \
-o is_distributed=False
```