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change the link #5453

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18 changes: 9 additions & 9 deletions tutorials/tipc/train_infer_python/infer_python.md
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Expand Up @@ -72,7 +72,7 @@ Paddle Inference 是飞桨的原生推理库， 作用于服务器端和云端

该小节的代码模板位于[export_model.py](./template/code/export_model.py)，您可以基于这段代码进行修改。

具体地，关于mobilenet_v3_small的导出代码可以参考：[export_model.py](https://github.com/PaddlePaddle/models/blob/79e14a5935372af1848921c4e12122f0b94c5a50/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。
具体地，关于mobilenet_v3_small的导出代码可以参考：[export_model.py](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。

#### 2.2.1 定义模型

Expand All @@ -86,7 +86,7 @@ Paddle Inference 是飞桨的原生推理库， 作用于服务器端和云端

**【实战】**

mobilenet_v3_small中模型定义与组网如下所示，参考链接：[export_model.py](https://github.com/PaddlePaddle/models/blob/79e14a5935372af1848921c4e12122f0b94c5a50/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。
mobilenet_v3_small中模型定义与组网如下所示，参考链接：[export_model.py](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。

```python
model = paddlevision.models.__dict__[args.model](
Expand All @@ -108,7 +108,7 @@ mobilenet_v3_small中模型定义与组网如下所示，参考链接：[export_

**【实战】**

mobilenet_v3_small中模型动转静代码如下所示，参考链接：[export_model.py](https://github.com/PaddlePaddle/models/blob/79e14a5935372af1848921c4e12122f0b94c5a50/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。
mobilenet_v3_small中模型动转静代码如下所示，参考链接：[export_model.py](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。


```python
Expand All @@ -132,7 +132,7 @@ mobilenet_v3_small中模型动转静代码如下所示，参考链接：[export_

**【实战】**

mobilenet_v3_small中模型保存代码如下所示，参考链接：[export_model.py](https://github.com/PaddlePaddle/models/blob/79e14a5935372af1848921c4e12122f0b94c5a50/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。
mobilenet_v3_small中模型保存代码如下所示，参考链接：[export_model.py](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/tools/export_model.py)。

```python
paddle.jit.save(model, os.path.join(args.save_inference_dir, "inference"))
Expand Down Expand Up @@ -177,7 +177,7 @@ class InferenceEngine(object):

**【实战】**

该模板类对应mobilenet_v3_small的实现位于：[infer.py](https://github.com/PaddlePaddle/models/blob/ac5589769953bbb4231014061c9a71ecab511491/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py)。
该模板类对应mobilenet_v3_small的实现位于：[infer.py](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py)。

其中每个子模块的操作在下面详细介绍。

Expand All @@ -194,7 +194,7 @@ class InferenceEngine(object):
针对mobilenet_v3_small模型，推理引擎初始化函数实现如下，其中模型结构和参数文件路径、是否使用GPU、是否开启MKLDNN等内容都是可以配置的。

```py
# https://github.com/PaddlePaddle/models/blob/ac5589769953bbb4231014061c9a71ecab511491/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py#L48
# https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py
def load_predictor(self, model_file_path, params_file_path):
args = self.args
config = Config(model_file_path, params_file_path)
Expand Down Expand Up @@ -245,7 +245,7 @@ class InferenceEngine(object):
图像分类mobilenet_v3_small为例，预处理包含`Resize`, `CenterCrop`, `Normalize`, `ToCHW` 4个步骤，预处理实现如下所示。

```py
# https://github.com/PaddlePaddle/models/blob/ac5589769953bbb4231014061c9a71ecab511491/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py#L91
# https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py
def preprocess(self, img_path):
with open(img_path, "rb") as f:
img = Image.open(f)
Expand Down Expand Up @@ -307,7 +307,7 @@ mobilenet_v3_small的后处理代码如下所示。
**【实战】**


mobilenet_v3_smalll中，基于训练引擎的预测方法可以参考：[mobilenet_v3 模型预测](https://github.com/PaddlePaddle/models/blob/ac5589769953bbb4231014061c9a71ecab511491/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/README.md)。结果保存逻辑如下。
mobilenet_v3_smalll中，基于训练引擎的预测方法可以参考：[mobilenet_v3 模型预测](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/README.md)。结果保存逻辑如下。

```python
if __name__ == "__main__":
Expand All @@ -333,7 +333,7 @@ AutoLog是一个自动日志记录工具，包含自动计时，统计CPU内存

**【实战】**

可以参考molinet_v3_small推理脚本，打开`benchmark`选项，即可输出规范化的推理日志，可以参考：[infer.py]()。
可以参考molinet_v3_small推理脚本，打开`benchmark`选项，即可输出规范化的推理日志，可以参考：[infer.py](https://github.com/PaddlePaddle/models/blob/release/2.2/tutorials/mobilenetv3_prod/Step6/deploy/inference_python/infer.py)。

```py
# init benchmark
Expand Down