From ae325f2e538c1bfc22ad8982909a1e36086225c8 Mon Sep 17 00:00:00 2001
From: lihongkang <[lihongkang1@huawei.com]>
Date: Sat, 16 Jan 2021 16:36:05 +0800
Subject: [PATCH] fix bugs

---
 mindspore/nn/layer/activation.py    | 2 +-
 mindspore/nn/layer/normalization.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/mindspore/nn/layer/activation.py b/mindspore/nn/layer/activation.py
index 3e8f7704a2..5009006666 100644
--- a/mindspore/nn/layer/activation.py
+++ b/mindspore/nn/layer/activation.py
@@ -392,7 +392,7 @@ class GELU(Cell):
 
 class FastGelu(Cell):
     r"""
-    fast Gaussian error linear unit activation function.
+    Fast Gaussian error linear unit activation function.
 
     Applies FastGelu function to each element of the input. The input is a Tensor with any valid shape.
 
diff --git a/mindspore/nn/layer/normalization.py b/mindspore/nn/layer/normalization.py
index 0d1bae5a19..518741b7e9 100644
--- a/mindspore/nn/layer/normalization.py
+++ b/mindspore/nn/layer/normalization.py
@@ -284,7 +284,7 @@ class BatchNorm1d(_BatchNorm):
         Tensor, the normalized, scaled, offset tensor, of shape :math:`(N, C_{out})`.
 
     Supported Platforms:
-        ``Ascend``
+        ``Ascend`` ``GPU``
 
     Examples:
         >>> net = nn.BatchNorm1d(num_features=4)