diff --git a/mindinsight/mindconverter/README.md b/mindinsight/mindconverter/README.md
index 5d7d598a4aded3ef7a2b59334560da7512cfdadd..42af758d3125adfa6c6f6fed8f7fdd00608222fd 100644
--- a/mindinsight/mindconverter/README.md
+++ b/mindinsight/mindconverter/README.md
@@ -4,11 +4,6 @@ MindConverter is a tool that converting PyTorch scripts to MindSpore scripts. Wi
 
 
 
-### System Requirements
-
-* PyTorch v1.5.0
-* MindSpore v0.2.0
-
 ### Installation
 
 This tool is part of MindInsight and accessible to users after installing MindInsight, no extra installation is needed.
@@ -24,8 +19,6 @@ mindconverter commandline usage:
 mindconverter [-h] [--version] --in_file IN_FILE [--output OUTPUT]
               [--report REPORT]
 
-MindConverter CLI entry point (version: 0.2.0)
-
 optional arguments:
   -h, --help         show this help message and exit
   --version          show program's version number and exit
@@ -36,13 +29,32 @@ optional arguments:
                      directorys
 ```
 
-Usage example:
+#### Use example:
+
+We have a collection of PyTorch model scripts
+```buildoutcfg
+~$ ls
+models
+~$ ls models
+lenet.py resnet.py vgg.py
+```
+
+Then we set the PYTHONPATH environment variable and convert alexnet.py
+```buildoutcfg
+~$ export PYTHONPATH=~/models
+~$ mindconverter --in_file models/lenet.py
+```
+
+Then we will see a conversion report and the output MindSpore script
 ```buildoutcfg
-export PYTHONPATH=~/my_pt_proj/models
-mindconverter --in_file lenet.py
+~$ ls
+lenet_report.txt models output
+~$ ls output
+lenet.py
 ```
 
-Since the conversion is not 100% flawless, we encourage users to checkout the reports when fixing issues of the converted scripts.
+Please checkout [models/lenet.py](../../tests/st/func/mindconverter/data/lenet_script.py) and [output/lenet.py](../../tests/st/func/mindconverter/data/lenet_converted.py) as the input/output example representatively.
+Since the conversion is not 100% flawless, we encourage users to checkout the report when fixing issues of the converted script.
 
 
 ### Unsupported Situation #1
diff --git a/tests/st/func/mindconverter/data/lenet_converted.py b/tests/st/func/mindconverter/data/lenet_converted.py
index b3d470110fb361122d5850545e1aa15cc8ca3de9..1e6a458e40aa55b5883dcb78472dcbbf88eaf2ef 100644
--- a/tests/st/func/mindconverter/data/lenet_converted.py
+++ b/tests/st/func/mindconverter/data/lenet_converted.py
@@ -12,11 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-"""Test network script of LeNet."""
+"""Test network script of LeNet for ST test case data."""
 import mindspore.nn as nn
 import mindspore.ops.operations as P
-# import torch.nn as nn
-# import torch.nn.functional as F
 
 
 class TestLeNet(nn.Cell):
@@ -30,11 +28,6 @@ class TestLeNet(nn.Cell):
 
     def construct(self, input_x):
         """Callback method."""
-        out = self.forward1(input_x)
-        return out
-
-    def forward1(self, input_x):
-        """forward1 method."""
         out = P.ReLU()(self.conv1(input_x))
         out = P.MaxPool(2, None, 'valid')(out)
         out = P.ReLU()(self.conv2(out))
diff --git a/tests/st/func/mindconverter/data/lenet_script.py b/tests/st/func/mindconverter/data/lenet_script.py
index 90f1e41f8b8fa6ad9cd526fb343b70300e9a87af..ff5d8fa1abe96c33ff2b298e629ccbaf99e2a1f4 100644
--- a/tests/st/func/mindconverter/data/lenet_script.py
+++ b/tests/st/func/mindconverter/data/lenet_script.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ============================================================================
-"""Test network script of LeNet."""
+"""Test network script of LeNet for ST test case data."""
 import torch.nn as nn
 import torch.nn.functional as F
 
@@ -28,11 +28,6 @@ class TestLeNet(nn.Module):
 
     def forward(self, input_x):
         """Callback method."""
-        out = self.forward1(input_x)
-        return out
-
-    def forward1(self, input_x):
-        """forward1 method."""
         out = F.relu(self.conv1(input_x))
         out = F.max_pool2d(out, 2)
         out = F.relu(self.conv2(out))