modify index of content for chinese python API.

docs/api/api_python/mindspore.train.rst

@@ -1,7 +1,15 @@
 mindspore.train
 ===============
 
-.. include:: mindspore.train/mindspore.train.summary.rst
+mindspore.train.summary
+------------------------
+
+用户可以通过SummaryRecord来自定义回调函数或者在自定义训练循环中将需要的数据存储为summary文件和lineage文件，然后使用MindInsight进行可视化分析。
+
+.. include:: mindspore.train/mindspore.train.summary.SummaryRecord.rst
+
+mindspore.train.callback
+------------------------
 
 .. include:: mindspore.train/mindspore.train.callback.Callback.rst
 

docs/api/api_python/mindspore.train/mindspore.train.SummaryCollector.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.SummaryCollector
-=========================================
-
 .. py:class:: mindspore.train.callback.SummaryCollector(summary_dir, collect_freq=10, collect_specified_data=None, keep_default_action=True, custom_lineage_data=None, collect_tensor_freq=None, max_file_size=None, export_options=None)
 
     SummaryCollector可以收集一些常用信息。

docs/api/api_python/mindspore.train/mindspore.train.callback.Callback.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.Callback
-==================================
-
 .. py:class:: mindspore.train.callback.Callback
 
     用于构建回调函数的基类。回调函数是一个上下文管理器，在运行模型时被调用。

docs/api/api_python/mindspore.train/mindspore.train.callback.CheckpointConfig.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.CheckpointConfig
-==========================================
-
 .. py:class:: mindspore.train.callback.CheckpointConfig(save_checkpoint_steps=1, save_checkpoint_seconds=0, keep_checkpoint_max=5, keep_checkpoint_per_n_minutes=0, integrated_save=True, async_save=False, saved_network=None, append_info=None, enc_key=None, enc_mode='AES-GCM')
 
     保存checkpoint时的配置策略。

docs/api/api_python/mindspore.train/mindspore.train.callback.LearningRateScheduler.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.LearningRateScheduler
-===============================================
-
 .. py:class:: mindspore.train.callback.LearningRateScheduler(learning_rate_function)
 
     在训练期间更改学习率。

docs/api/api_python/mindspore.train/mindspore.train.callback.LossMonitor.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.LossMonitor
-=====================================
-
 .. py:class:: mindspore.train.callback.LossMonitor(per_print_times=1)
 
     监控训练的loss。

docs/api/api_python/mindspore.train/mindspore.train.callback.ModelCheckpoint.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.ModelCheckpoint
-=========================================
-
 .. py:class:: mindspore.train.callback.ModelCheckpoint(prefix='CKP', directory=None, config=None)
 
     checkpoint的回调函数。

docs/api/api_python/mindspore.train/mindspore.train.callback.RunContext.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.RunContext
-====================================
-
 .. py:class:: mindspore.train.callback.RunContext(original_args)
 
     提供模型的相关信息。

docs/api/api_python/mindspore.train/mindspore.train.callback.TimeMonitor.rst

@@ -1,6 +1,3 @@
-mindspore.train.callback.TimeMonitor
-====================================
-
 .. py:class:: mindspore.train.callback.TimeMonitor(data_size=None)
 
     监控训练时间。

docs/api/api_python/mindspore.train/mindspore.train.summary.rst → docs/api/api_python/mindspore.train/mindspore.train.summary.SummaryRecord.rst

@@ -1,8 +1,3 @@
-mindspore.train.summary
-========================
-
-用户可以通过SummaryRecord来自定义回调函数或者在自定义训练循环中将需要的数据存储为summary文件和lineage文件，然后使用MindInsight进行可视化分析。
-
 .. py:class:: mindspore.train.summary.SummaryRecord(log_dir, file_prefix='events', file_suffix='_MS', network=None, max_file_size=None, raise_exception=False, export_options=None)
 
     SummaryRecord用于记录summary数据和lineage数据。