From fc61284c788f153cf9a501c1cd77cf0cfc1adaad Mon Sep 17 00:00:00 2001
From: acosta123 <42226556+acosta123@users.noreply.github.com>
Date: Thu, 18 Apr 2019 21:32:06 +0800
Subject: [PATCH] Update native_infer_en.md (#792)

* Update native_infer_en.md

* Update native_infer_en.md
---
 .../deploy/inference/native_infer_en.md        | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/doc/fluid/advanced_usage/deploy/inference/native_infer_en.md b/doc/fluid/advanced_usage/deploy/inference/native_infer_en.md
index 4c82c90d2..77ac2ee61 100644
--- a/doc/fluid/advanced_usage/deploy/inference/native_infer_en.md
+++ b/doc/fluid/advanced_usage/deploy/inference/native_infer_en.md
@@ -125,6 +125,24 @@ tensor.dtype = paddle::PaddleDType::INT64;
 tensor.name = "input0"; // name need to be set here
 ```
 
+The subsequent execution process is totally the same with `NativeConfig` .
+	
+### variable-length sequence input
+When dealing with variable-length sequence input, you need to set LoD for `PaddleTensor` .
+	
+``` c++
+# Suppose the sequence lengths are [3, 2, 4, 1, 2, 3] in order.
+tensor.lod = {{0,
+	         /*0 + 3=*/3,
+	         /*3 + 2=*/5,
+	         /*5 + 4=*/9,
+	         /*9 + 1=*/10,
+	         /*10 + 2=*/12,
+	         /*12 + 3=*/15}};
+```
+	
+For more specific examples, please refer to[LoD-Tensor Instructions](../../../user_guides/howto/basic_concept/lod_tensor_en.html)
+	
 ### Suggestion for Performance
 
 1. If the CPU type permits, it's best to use the versions with support for AVX and MKL.
-- 
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