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[Quantization] Improve the usage of fastdeploy tools (#722)

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Improve the usage of fastdeploy tools
This commit is contained in:
yunyaoXYY
2022-11-28 16:55:32 +08:00
committed by GitHub
parent 9ae5c24607
commit ae3487560d
10 changed files with 24 additions and 30 deletions
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6
tools/README.md
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@@ -26,14 +26,14 @@ python setup.py install
```bash
# 通过pip安装fastdeploy-tools. 此工具包目前支持模型一键自动化压缩和模型转换的功能.
# FastDeploy的python包已包含此工具, 不需重复安装.
pip install fastdeploy-tools==0.0.0
pip install fastdeploy-tools==0.0.1
```
### 一键模型自动化压缩工具的使用
按照以上步骤成功安装后,即可使用FastDeploy一键模型自动化压缩工具, 示例如下.
```bash
fastdeploy --auto_compress --config_path=./configs/detection/yolov5s_quant.yaml --method='PTQ' --save_dir='./yolov5s_ptq_model/'
fastdeploy compress --config_path=./configs/detection/yolov5s_quant.yaml --method='PTQ' --save_dir='./yolov5s_ptq_model/'
```
详细使用文档请参考[FastDeploy一键模型自动化压缩工具](./common_tools/auto_compression/README.md)
@@ -69,7 +69,7 @@ python setup.py install
按照以上步骤成功安装后,即可使用 FastDeploy 一键转换工具, 示例如下:
```bash
fastdeploy --convert --framework onnx --model yolov5s.onnx --save_dir pd_model
fastdeploy convert --framework onnx --model yolov5s.onnx --save_dir pd_model
```
更多详细内容可参考[X2Paddle](https://github.com/PaddlePaddle/X2Paddle)