From 8dd4517af3ddbf2fb6b432219302efef231f4a8f Mon Sep 17 00:00:00 2001
From: Jiaqi <lijiaqi0612@163.com>
Date: Sat, 19 Sep 2020 21:02:30 +0800
Subject: [PATCH] modify lr comment

---
 mindspore/nn/learning_rate_schedule.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/mindspore/nn/learning_rate_schedule.py b/mindspore/nn/learning_rate_schedule.py
index 0210243755..4534b58103 100644
--- a/mindspore/nn/learning_rate_schedule.py
+++ b/mindspore/nn/learning_rate_schedule.py
@@ -62,10 +62,12 @@ class ExponentialDecayLR(LearningRateSchedule):
         decayed\_learning\_rate[i] = learning\_rate * decay\_rate^{p}
 
     Where :
+
     .. math::
         p = \frac{current\_step}{decay\_steps}
 
     If `is_stair` is True, the formula is :
+
     .. math::
         p = floor(\frac{current\_step}{decay\_steps})
 
@@ -116,10 +118,12 @@ class NaturalExpDecayLR(LearningRateSchedule):
         decayed\_learning\_rate[i] = learning\_rate * e^{-decay\_rate * p}
 
     Where :
+
     .. math::
         p = \frac{current\_step}{decay\_steps}
 
     If `is_stair` is True, the formula is :
+
     .. math::
         p = floor(\frac{current\_step}{decay\_steps})
 
@@ -171,10 +175,12 @@ class InverseDecayLR(LearningRateSchedule):
         decayed\_learning\_rate[i] = learning\_rate / (1 + decay\_rate * p)
 
     Where :
+
     .. math::
         p = \frac{current\_step}{decay\_steps}
 
     If `is_stair` is True, The formula is :
+
     .. math::
         p = floor(\frac{current\_step}{decay\_steps})