From fc0b75f6702b33a52a416d167c2461c6e9ef0c22 Mon Sep 17 00:00:00 2001
From: littletomatodonkey <2120160898@bit.edu.cn>
Date: Thu, 6 May 2021 15:22:38 +0800
Subject: [PATCH] Update train_with_DALI_en.md

---
 docs/en/extension/train_with_DALI_en.md | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/docs/en/extension/train_with_DALI_en.md b/docs/en/extension/train_with_DALI_en.md
index cc3e28680..8318b93ce 100644
--- a/docs/en/extension/train_with_DALI_en.md
+++ b/docs/en/extension/train_with_DALI_en.md
@@ -49,8 +49,14 @@ python -m paddle.distributed.launch \
 
 ## Train with FP16
 
-On the basis of the above, using FP16 half-precision can further improve the training speed, just add fields in the start training command `AMP.use_pure_fp16=True`:
+On the basis of the above, using FP16 half-precision can further improve the training speed, you can refer the following command.
 
 ```shell
-python tools/static/train.py -c configs/ResNet/ResNet50.yaml -o use_dali=True -o AMP.use_pure_fp16=True
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+export FLAGS_fraction_of_gpu_memory_to_use=0.8
+
+python -m paddle.distributed.launch \
+    --gpus="0,1,2,3,4,5,6,7" \
+    tools/static/train.py \
+        -c configs/ResNet/ResNet50_fp16.yaml
 ```