!397 Modify document adaptation mindinsight.profiler Migrate to mindspore.profiler

Merge pull request !397 from zyhStack/zyh_doc

api/source_en/api/python/mindinsight/mindinsight.profiler.rst

-mindinsight.profiler
-======================
-
-.. automodule:: mindinsight.profiler
-    :members:
\ No newline at end of file

api/source_en/api/python/mindspore/mindspore.profiler.rst

+mindspore.profiler
+==================
+
+.. automodule:: mindspore.profiler
+    :members:
\ No newline at end of file

api/source_en/index.rst

@@ -28,9 +28,10 @@ MindSpore API
    api/python/mindspore/mindspore.dataset.transforms
    api/python/mindspore/mindspore.dataset.transforms.vision
    api/python/mindspore/mindspore.mindrecord
+   api/python/mindspore/mindspore.profiler
 
    api/python/mindinsight/mindinsight.lineagemgr
-   api/python/mindinsight/mindinsight.profiler
+
 
    api/python/mindarmour/mindarmour
    api/python/mindarmour/mindarmour.utils

api/source_zh_cn/api/python/mindinsight/mindinsight.profiler.rst

-mindinsight.profiler
-======================
-
-.. automodule:: mindinsight.profiler
-    :members:
\ No newline at end of file

api/source_zh_cn/api/python/mindspore/mindspore.profiler.rst

+mindspore.profiler
+==================
+
+.. automodule:: mindspore.profiler
+    :members:
\ No newline at end of file

api/source_zh_cn/index.rst

@@ -28,9 +28,10 @@ MindSpore API
    api/python/mindspore/mindspore.dataset.transforms
    api/python/mindspore/mindspore.dataset.transforms.vision
    api/python/mindspore/mindspore.mindrecord
+   api/python/mindspore/mindspore.profiler
 
    api/python/mindinsight/mindinsight.lineagemgr
-   api/python/mindinsight/mindinsight.profiler
+
 
    api/python/mindarmour/mindarmour
    api/python/mindarmour/mindarmour.utils

tutorials/source_en/advanced_use/performance_profiling.md

@@ -29,12 +29,12 @@ Performance data like operators' execution time is recorded in files and can be
 
 ## Preparing the Training Script
 
-To enable the performance profiling of neural networks, MindInsight Profiler APIs should be added into the script. At first, the MindInsight `Profiler` object need to be set after set context and before the network initialization. Then, at the end of the training, `Profiler.analyse()` should be called to finish profiling and generate the perforamnce analyse results.
+To enable the performance profiling of neural networks, MindSpore Profiler APIs should be added into the script. At first, the MindSpore `Profiler` object need to be set after set context and before the network initialization. Then, at the end of the training, `Profiler.analyse()` should be called to finish profiling and generate the perforamnce analyse results.
 
 The sample code is as follows:
 
 ```python
-from mindinsight.profiler import Profiler
+from mindspore.profiler import Profiler
 from mindspore import Model, nn, context
 
 

tutorials/source_zh_cn/advanced_use/performance_profiling.md

@@ -30,14 +30,14 @@
 
 ## 准备训练脚本
 
-为了收集神经网络的性能数据，需要在训练脚本中添加MindInsight Profiler相关接口。  
-- 在`set_context`之后和初始化网络之前，需要初始化MindInsight `Profiler`对象。
+为了收集神经网络的性能数据，需要在训练脚本中添加MindSpore Profiler相关接口。  
+- 在`set_context`之后和初始化网络之前，需要初始化MindSpore `Profiler`对象。
 - 在训练结束后，调用`Profiler.analyse()`停止性能数据收集并生成性能分析结果。
 
 样例代码如下：
 
 ```python
-from mindinsight.profiler import Profiler
+from mindspore.profiler import Profiler
 from mindspore import Model, nn, context