From 0ef9dc612251a53cd33ee58be427d6db72b59b00 Mon Sep 17 00:00:00 2001
From: xuwei06 <xuwei06@baidu.com>
Date: Fri, 5 Jan 2018 23:42:14 -0800
Subject: [PATCH] Fix comment for norm_op

---
 paddle/operators/norm_op.cc | 2 +-
 paddle/operators/norm_op.h  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/paddle/operators/norm_op.cc b/paddle/operators/norm_op.cc
index b198b76cd49..0eeafcaae0a 100644
--- a/paddle/operators/norm_op.cc
+++ b/paddle/operators/norm_op.cc
@@ -39,7 +39,7 @@ class NormOpMaker : public framework::OpProtoAndCheckerMaker {
               "M = C * H * W");
     AddComment(R"DOC(
        "Input shape: $(N, C, H, W)$
-        Sclae shape: $(C, 1)$
+        Scale shape: $(C, 1)$
         Output shape: $(N, C, H, W)$
         Where
         forward
diff --git a/paddle/operators/norm_op.h b/paddle/operators/norm_op.h
index 7bee48919e9..5759d6f1f07 100644
--- a/paddle/operators/norm_op.h
+++ b/paddle/operators/norm_op.h
@@ -66,7 +66,7 @@ class NormKernel : public framework::OpKernel<T> {
                                  context.GetPlace());
       auto tmp = framework::EigenVector<T, Eigen::RowMajor,
                                         Eigen::DenseIndex>::Flatten(tmp_tensor);
-      // get colsum  and sqrt , inverse
+      // get colsum and sqrt , inverse
       auto dim = Eigen::array<int, 1>({{0}});
       tmp.device(*place) = x_square_batch_eigen.sum(dim);
       tmp.device(*place) = (tmp + epsilon).sqrt().inverse();
-- 
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