未验证 提交 d127d4c1 编写于 作者: T TeslaZhao 提交者: GitHub

Merge pull request #1227 from HexToString/develop-p

update lod
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## Principle ## Principle
LoD(Level-of-Detail) Tensor is an advanced feature of paddle and an extension of tensor. LoD Tensor improves training efficiency by sacrificing flexibility. Explanation of Tensor and Padding, Please refer to [paddlepaddle official website description](https://www.paddlepaddle.org.cn/documentation/docs/zh/1.8/beginners_guide/basic_concept/tensor.html).
LoD(Level-of-Detail) Tensor is an advanced feature of paddle and an extension of tensor. LoD Tensor improves training efficiency by sacrificing flexibility, reducing the impact of data expansion brought by padding.
**Notice:** For most users, there is no need to pay attention to the usage of LoD Tensor. Currently, serving only supports the usage of one-dimensional LOD. **Notice:** For most users, there is no need to pay attention to the usage of LoD Tensor. Currently, serving only supports the usage of one-dimensional LOD.
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...@@ -4,7 +4,9 @@ ...@@ -4,7 +4,9 @@
## 概念 ## 概念
LoD(Level-of-Detail) Tensor是Paddle的高级特性,是对Tensor的一种扩充。LoDTensor通过牺牲灵活性来提升训练的效率。 Tensor以及Padding的概念说明请参考[PaddlePaddle官网说明](https://www.paddlepaddle.org.cn/documentation/docs/zh/1.8/beginners_guide/basic_concept/tensor.html)
LoD(Level-of-Detail) Tensor是Paddle的高级特性,是对Tensor的一种扩充。LoDTensor通过牺牲灵活性来提升训练的效率,减少padding带来的数据扩充的影响。
**注:** 对于大部分用户来说,无需关注LoDTensor的用法,目前Serving中仅支持一维Lod的用法。 **注:** 对于大部分用户来说,无需关注LoDTensor的用法,目前Serving中仅支持一维Lod的用法。
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