From 258ba3c6afabbb4c1dd3e1556deb18e23ed9f55f Mon Sep 17 00:00:00 2001 From: acosta123 <42226556+acosta123@users.noreply.github.com> Date: Mon, 3 Jun 2019 10:40:00 +0800 Subject: [PATCH] Update doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md Co-Authored-By: Hao Wang <31058429+haowang101779990@users.noreply.github.com> --- doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md b/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md index e63212f8d..923cfd0d1 100644 --- a/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md +++ b/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md @@ -64,7 +64,7 @@ The overall principle of the model compression tool is briefly introduced here t figure 1

-As **figure 1** shows, the top purple module is user interface. When calling the model compression function in Python scripts, we only need to construct a Compressor object. Please refer to [Use Document](https://github.com/PaddlePaddle/models/blob/develop/PaddleSlim/docs/usage.md) for more details. +As **figure 1** shows, the top purple module is the user interface. When calling the model compression function in Python scripts, we only need to construct a Compressor object. Please refer to [Documentation](https://github.com/PaddlePaddle/models/blob/develop/PaddleSlim/docs/usage.md) for more details. We call every compression algorithms compression strategies, which are called during the process of training models iteratively to complete model compression, as is shown in **figure 2**. The logic is packaged in the tool for model compression, and users only need to provide network structures, data and optimizers for model training. Please refer to [Use Document](https://github.com/PaddlePaddle/models/blob/develop/PaddleSlim/docs/usage.md) for more details. -- GitLab