From b2b66abdb0e845cef7ae3be57f9627ca3046fdf8 Mon Sep 17 00:00:00 2001
From: wangshuide2020 <wangshuide@huawei.com>
Date: Tue, 13 Jul 2021 10:07:18 +0800
Subject: [PATCH] update the result of example of Split, AdaptiveAvgPool2D and
 ReduceMean operators.

---
 mindspore/ops/operations/_inner_ops.py |  8 ++++----
 mindspore/ops/operations/array_ops.py  |  8 ++++----
 mindspore/ops/operations/math_ops.py   |  4 ++--
 mindspore/ops/operations/nn_ops.py     | 20 ++++++++++----------
 mindspore/ops/primitive.py             |  2 +-
 5 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/mindspore/ops/operations/_inner_ops.py b/mindspore/ops/operations/_inner_ops.py
index ce7e3fbe6fc..37c7bf3710a 100755
--- a/mindspore/ops/operations/_inner_ops.py
+++ b/mindspore/ops/operations/_inner_ops.py
@@ -723,10 +723,10 @@ class SequenceMask(PrimitiveWithCheck):
         >>> sequence_mask = ops.SequenceMask()
         >>> output = sequence_mask(x, 3)
         >>> print(output)
-        [[[True, False, False],
-          [True, True, True]],
-         [[True, True, False],
-          [False, False, False]]]
+        [[[True False False]
+          [True True True]]
+         [[True True False]
+          [False False False]]]
     """
 
     @prim_attr_register
diff --git a/mindspore/ops/operations/array_ops.py b/mindspore/ops/operations/array_ops.py
index 27ff77e93e6..ddea0189ec3 100755
--- a/mindspore/ops/operations/array_ops.py
+++ b/mindspore/ops/operations/array_ops.py
@@ -1040,10 +1040,10 @@ class Split(PrimitiveWithCheck):
         >>> output = split(x)
         >>> print(output)
         (Tensor(shape=[2, 2], dtype=Int32, value=
-        [[1 1]
-         [2 2]]), Tensor(shape=[2, 2], dtype=Int32, value=
-        [[1 1]
-         [2 2]]))
+        [[1, 1],
+         [2, 2]]), Tensor(shape=[2, 2], dtype=Int32, value=
+        [[1, 1],
+         [2, 2]]))
         >>> split = ops.Split(1, 4)
         >>> output = split(x)
         >>> print(output)
diff --git a/mindspore/ops/operations/math_ops.py b/mindspore/ops/operations/math_ops.py
index de200b43952..2d44b14d48d 100644
--- a/mindspore/ops/operations/math_ops.py
+++ b/mindspore/ops/operations/math_ops.py
@@ -460,8 +460,8 @@ class ReduceMean(_Reduce):
           [5.       ]
           [6.       ]]
          [[7.0000005]
-          [5.       ]
-          [6.       ]]]
+          [8.       ]
+          [9.       ]]]
     """
 
 
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index d15df94ea44..c1f86649e5c 100755
--- a/mindspore/ops/operations/nn_ops.py
+++ b/mindspore/ops/operations/nn_ops.py
@@ -179,15 +179,15 @@ class AdaptiveAvgPool2D(PrimitiveWithInfer):
         >>> adaptive_avg_pool_2d = ops.AdaptiveAvgPool2D((None, 2))
         >>> output = adaptive_avg_pool_2d(input_x)
         >>> print(output)
-        [[[2.5 3.5]
+        [[[1.5 2.5]
           [4.5 5.5]
-          [6.5 7.5]]
-         [[2.5 3.5]
+          [7.5 8.5]]
+         [[1.5 2.5]
           [4.5 5.5]
-          [6.5 7.5]]
-         [[2.5 3.5]
+          [7.5 8.5]]
+         [[1.5 2.5]
           [4.5 5.5]
-          [6.5 7.5]]]
+          [7.5 8.5]]]
         >>> # case 2: output_size=2
         >>> adaptive_avg_pool_2d = ops.AdaptiveAvgPool2D(2)
         >>> output = adaptive_avg_pool_2d(input_x)
@@ -202,9 +202,9 @@ class AdaptiveAvgPool2D(PrimitiveWithInfer):
         >>> adaptive_avg_pool_2d = ops.AdaptiveAvgPool2D((1, 2))
         >>> output = adaptive_avg_pool_2d(input_x)
         >>> print(output)
-        [[[3.5 6.5]]
-         [[3.5 6.5]]
-         [[3.5 6.5]]]
+        [[[4.5 5.5]]
+         [[4.5 5.5]]
+         [[4.5 5.5]]]
     """
 
     @prim_attr_register
@@ -6723,7 +6723,7 @@ class ApplyFtrl(PrimitiveWithInfer):
         >>> net = ApplyFtrlNet()
         >>> input_x = Tensor(np.array([[0.3, 0.7], [0.1, 0.8]]).astype(np.float32))
         >>> output = net(input_x)
-        >>> print(output)
+        >>> print(net.var.asnumpy())
         [[ 0.0390525,  0.11492836]
          [ 0.00066425, 0.15075898]]
     """
diff --git a/mindspore/ops/primitive.py b/mindspore/ops/primitive.py
index 42f0f24c6af..7e3df2639bc 100644
--- a/mindspore/ops/primitive.py
+++ b/mindspore/ops/primitive.py
@@ -236,7 +236,7 @@ class Primitive(Primitive_):
             >>> input_x = Tensor(np.array([1, 2, 3]), mindspore.float32)
             >>> output = addn.check_elim((input_x,))
             >>> print(output)
-            (True, Tensor(shape = [3], dtype = Float32, value = [1.0000000e+00,2.0000000e+00，3.0000000e+00]))
+            (True, Tensor(shape = [3], dtype = Float32, value = [1.0000000e+00,2.0000000e+00,3.0000000e+00]))
     """
         return (False, None)