!46447 [MD][DOC] Add Chinese doc for error_samples_mode APIs

Merge pull request !46447 from TinaMengtingZhang/code_docs_error_samples_mode

docs/api/api_python/dataset/mindspore.dataset.config.get_error_samples_mode.rst

@@ -0,0 +1,13 @@
+mindspore.dataset.config.get_error_samples_mode
+===============================================
+
+.. py:function:: mindspore.dataset.config.get_error_samples_mode()
+
+    获取当前数据管道中处理错误样本的方法。
+
+    返回：
+        ErrorSamplesMode，当前数据管道处理错误样本的方法。
+
+        - ErrorSamplesMode.RETURN: 表示错误样本会导致产生错误并返回。
+        - ErrorSamplesMode.REPLACE: 表示错误样本会被内部确定的样本替换。
+        - ErrorSamplesMode.SKIP: 表示错误样本会被跳过。

docs/api/api_python/dataset/mindspore.dataset.config.set_error_samples_mode.rst

@@ -0,0 +1,21 @@
+mindspore.dataset.config.set_error_samples_mode
+===============================================
+
+.. py:function:: mindspore.dataset.config.set_error_samples_mode(error_samples_mode)
+
+    设置在数据管道中处理错误样本的方法。
+
+    .. note::
+        - 此错误样本特性仅适用于数据集管道中的Map操作。
+        - 对于替换模式，缓存将会用于存放内部确定的样本。
+        - 如果在多机设置中使用跳过模式，请手动确保每个分片的有效样本数是相同的（否则可能会导致挂起）。一种解决方法是手动Concat一个样本全有效的数据集，然后采用Take操作填补跳过的错误样本数。
+
+    参数：
+        - **error_samples_mode** (ErrorSamplesMode) - 处理错误样本的方法。默认值：ErrorSamplesMode.RETURN。
+
+          - ErrorSamplesMode.RETURN：表示错误样本会导致产生错误并返回。
+          - ErrorSamplesMode.REPLACE：表示错误样本会被内部确定的样本替换。
+          - ErrorSamplesMode.SKIP：表示错误样本会被跳过。
+
+    异常：
+        - **TypeError** - `error_samples_mode` 不是ErrorSamplesMode类型。

docs/api/api_python/mindspore.dataset.rst

@@ -259,6 +259,8 @@ config模块能够设置或获取数据处理的全局配置参数。
     mindspore.dataset.config.get_fast_recovery
     mindspore.dataset.config.set_multiprocessing_timeout_interval
     mindspore.dataset.config.get_multiprocessing_timeout_interval
+    mindspore.dataset.config.set_error_samples_mode
+    mindspore.dataset.config.get_error_samples_mode
 
 其他
 -----

docs/api/api_python_en/mindspore.dataset.rst

@@ -178,6 +178,8 @@ The configuration module provides various functions to set and get the supported
     mindspore.dataset.config.get_fast_recovery
     mindspore.dataset.config.set_multiprocessing_timeout_interval
     mindspore.dataset.config.get_multiprocessing_timeout_interval
+    mindspore.dataset.config.set_error_samples_mode
+    mindspore.dataset.config.get_error_samples_mode
 
 Others
 -------

mindspore/python/mindspore/dataset/core/config.py

@@ -912,12 +912,12 @@ def set_error_samples_mode(error_samples_mode):
     Set the method in which erroneous samples should be processed in a dataset pipeline.
 
     Note:
-        1. This error samples feature is only applicable to the Map operation in a dataset pipeline.
-        2. For replacement mode, a cache of internally determined samples will be used.
-        3. If skip mode is used in a distributed setting, beware to manually ensure the
-           number of valid samples are the same for each shard (otherwise one may encounter hangs).
-           One technique is to manually concat a dataset of all valid samples plus a
-           take operation for the number of skipped erroneous samples.
+        - This error samples feature is only applicable to the Map operation in a dataset pipeline.
+        - For replacement mode, a cache of internally determined samples will be used.
+        - If skip mode is used in a distributed setting, beware to manually ensure the
+          number of valid samples are the same for each shard (otherwise one may encounter hangs).
+          One technique is to manually concat a dataset of all valid samples plus a
+          take operation for the number of skipped erroneous samples.
 
     Args:
         error_samples_mode (ErrorSamplesMode): The method in which erroneous samples should be processed in a dataset
@@ -946,9 +946,11 @@ def get_error_samples_mode():
 
     Returns:
         ErrorSamplesMode, The method in which erroneous samples should be processed in a dataset pipeline.
+
             - ErrorSamplesMode.RETURN: means erroneous sample results in error raised and returned.
             - ErrorSamplesMode.REPLACE: means erroneous sample is replaced with an internally determined sample.
             - ErrorSamplesMode.SKIP: means erroneous sample is skipped.
+
     Examples:
         >>> error_samples_mode = ds.config.get_error_samples_mode()
     """