modify link

RELEASE.md

@@ -183,11 +183,11 @@ Contributions of any kind are welcome!
 
 ###### `mindspore.train.callback.SummaryCollector` interface's parameter `collect_specified_data` add new operations `collect_landscape` ([!26229](https://gitee.com/mindspore/mindspore/pulls/26229))
 
-`collect_landscape` can collect the parameters needed to create the loss landscape. we can see the updated version in api of [mindspore.train.callback.SummaryCollector](https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore.train.html#mindspore.train.callback.SummaryCollector).
+`collect_landscape` can collect the parameters needed to create the loss landscape. we can see the updated version in api of [mindspore.train.callback.SummaryCollector](https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore/mindspore.SummaryCollector.html#mindspore.SummaryCollector).
 
 ###### `mindspore.train.callback` add new interface `SummaryLandscape` ([!26229](https://gitee.com/mindspore/mindspore/pulls/26229))
 
-`SummaryLandscape` can help you to collect loss landscape information. It can create landscape in PCA direction or random direction by calculating loss. We can see the updated version in api of [mindspore.train.callback.SummaryLandscape](https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore.train.html#mindspore.train.callback.SummaryLandscape).
+`SummaryLandscape` can help you to collect loss landscape information. It can create landscape in PCA direction or random direction by calculating loss. We can see the updated version in api of [mindspore.train.callback.SummaryLandscape](https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore/mindspore.SummaryLandscape.html#mindspore.SummaryLandscape).
 
 ### Bug fixes
 

docs/api/api_python/dataset/mindspore.dataset.WaitedDSCallback.rst

@@ -3,11 +3,11 @@ mindspore.dataset.WaitedDSCallback
 
 .. py:class:: mindspore.dataset.WaitedDSCallback(step_size=1)
 
-    阻塞式数据处理回调类的抽象基类，用于与训练回调类 `mindspore.train.callback <https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore.train.html#mindspore.train.callback.Callback>`_ 的同步。
+    阻塞式数据处理回调类的抽象基类，用于与训练回调类 `mindspore.Callback <https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore/mindspore.Callback.html#mindspore.Callback>`_ 的同步。
 
     可用于在step或epoch开始前执行自定义的回调方法，例如在自动数据增强中根据上一个epoch的loss值来更新增强算子参数配置。
 
-    用户可通过 `train_run_context` 获取网络训练相关信息，如 `network` 、 `train_network` 、 `epoch_num` 、 `batch_num` 、 `loss_fn` 、 `optimizer` 、 `parallel_mode` 、 `device_number` 、 `list_callback` 、 `cur_epoch_num` 、 `cur_step_num` 、 `dataset_sink_mode` 、 `net_outputs` 等，详见 `mindspore.train.callback <https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore.train.html#mindspore.train.callback.Callback>`_ 。
+    用户可通过 `train_run_context` 获取网络训练相关信息，如 `network` 、 `train_network` 、 `epoch_num` 、 `batch_num` 、 `loss_fn` 、 `optimizer` 、 `parallel_mode` 、 `device_number` 、 `list_callback` 、 `cur_epoch_num` 、 `cur_step_num` 、 `dataset_sink_mode` 、 `net_outputs` 等，详见 `mindspore.Callback <https://www.mindspore.cn/docs/zh-CN/master/api_python/mindspore/mindspore.Callback.html#mindspore.Callback>`_ 。
 
     用户可通过 `ds_run_context` 获取数据处理管道相关信息，包括 `cur_epoch_num` (当前epoch数)、 `cur_step_num_in_epoch` (当前epoch的step数)、 `cur_step_num` (当前step数)。
 

mindspore/python/mindspore/dataset/callback/ds_callback.py

@@ -129,8 +129,8 @@ class DSCallback:
 class WaitedDSCallback(Callback, DSCallback):
     r"""
     Abstract base class used to build dataset callback classes that are synchronized with the training callback class
-    `mindspore.train.callback \
+    `mindspore.Callback \
-    <https://www.mindspore.cn/docs/en/master/api_python/mindspore.train.html#mindspore.train.callback.Callback>`_.
+    <https://www.mindspore.cn/docs/en/master/api_python/mindspore/mindspore.Callback.html#mindspore.Callback>`_.
 
     It can be used to execute a custom callback method before a step or an epoch, such as
     updating the parameters of operators according to the loss of the previous training epoch in auto augmentation.
@@ -139,8 +139,8 @@ class WaitedDSCallback(Callback, DSCallback):
     `network`, `train_network`, `epoch_num`, `batch_num`, `loss_fn`, `optimizer`, `parallel_mode`,
     `device_number`, `list_callback`, `cur_epoch_num`, `cur_step_num`, `dataset_sink_mode`,
     `net_outputs`, etc., see
-    `mindspore.train.callback \
+    `mindspore.Callback \
-    <https://www.mindspore.cn/docs/en/master/api_python/mindspore.train.html#mindspore.train.callback.Callback>`_.
+    <https://www.mindspore.cn/docs/en/master/api_python/mindspore/mindspore.Callback.html#mindspore.Callback>`_.
 
     Users can obtain the dataset pipeline context through `ds_run_context`, including
     `cur_epoch_num`, `cur_step_num_in_epoch` and `cur_step_num`.