diff --git a/docs/lite/api/source_en/api_java/ascend_device_info.md b/docs/lite/api/source_en/api_java/ascend_device_info.md
new file mode 100644
index 0000000000000000000000000000000000000000..6643479777f491f2558c2b4b54dc003adc528dab
--- /dev/null
+++ b/docs/lite/api/source_en/api_java/ascend_device_info.md
@@ -0,0 +1,380 @@
+# AscendDeviceInfo
+
+[![View Source On Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source_en.svg)](https://gitee.com/mindspore/docs/blob/master/docs/lite/api/source_en/api_java/ascend_device_info.md)
+
+```java
+import com.mindspore.config.AscendDeviceInfo;
+```
+
+The AscendDeviceInfo class is used to configure MindSpore Lite Ascend device options.
+
+## Public Member Functions
+
+| function                                   | Supported At Cloud-side Inference | Supported At Device-side Inference |
+| ------------------------------------------ |--------|--------|
+| [int getDeviceID)](#getDeviceID) | √      | ✕     |
+| [int getDeviceType](#getDeviceType) | √      | ✕     |
+| [String getProvider](#getProvider) | √      | ✕     |
+| [void setProvider(String provider)](#setProvider) | √      | ✕     |
+| [void setDeviceID(int deviceId)](#setDeviceID) | √ | ✕ |
+| [int getRankID()](#getRankID) | √      | ✕     |
+| [void setRankID(int rankId)](#setRankID) | √      | ✕     |
+| [String getInsertOpConfigPath()](#getInsertOpConfigPath) | √      | ✕     |
+| [void setInsertOpConfigPath(String insertOpConfigPath)](#setInsertOpConfigPath) | √      | ✕     |
+| [String getInputFormat()](#getInputFormat) | √ | ✕ |
+| [void setInputFormat(String inputFormat)](#setInputFormat) | √      | ✕     |
+| [String getInputShape()](#getInputShape) | √      | ✕     |
+| [void setInputShape(String inputShape)](#setInputShape) | √      | ✕     |
+| [HashMap<Integer, ArrayList<Integer>> getInputShapeMap()](#getInputShapeMap) | √      | ✕     |
+| [void setInputShapeMap(HashMap<Integer, ArrayList<Integer>> inputShapeMap)](#setInputShapeMap) | √      | ✕     |
+| [ArrayList<Integer> getDynamicBatchSize()](#getDynamicBatchSize) | √      | ✕     |
+| [void setDynamicBatchSize(ArrayList<Integer> dynamicBatchSize)](#setDynamicBatchSize) | √      | ✕     |
+| [String getDynamicImageSize()](#getDynamicImageSize) | √      | ✕     |
+| [void setDynamicImageSize(String dynamicImageSize)](#setDynamicImageSize) | √      | ✕     |
+| [int getOutputType()](#getOutputType) | √ | ✕ |
+| [void setOutputType(int outputType)](#setOutputType) | √      | ✕     |
+| [String getPrecisionMode()](#getPrecisionMode) | √ | ✕ |
+| [void setPrecisionMode(String precisionMode)](#setPrecisionMode) | √ | ✕ |
+| [String getOpSelectImplMode()](#getOpSelectImplMode) | √ | ✕ |
+| [void setOpSelectImplMode(String opSelectImplMode)](#setOpSelectImplMode) | √ | ✕ |
+| [String getFusionSwitchConfigPath()](#getFusionSwitchConfigPath) | √ | ✕ |
+| [void setFusionSwitchConfigPath(String fusionSwitchConfigPath)](#setFusionSwitchConfigPath) | √ | ✕ |
+| [String getBufferOptimizeMode()](#getBufferOptimizeMode) | √ | ✕ |
+| [void setBufferOptimizeMode(String bufferOptimizeMode)](#setBufferOptimizeMode) | √ | ✕ |
+
+## getDeviceID
+
+```java
+public int getDeviceID()
+```
+
+Get the Ascend device ID.
+
+- Returns
+
+  the deviceId.
+
+## getDeviceType
+
+```java
+public int getDeviceType()
+```
+
+Get the device type.
+
+- Returns
+
+  the deviceType.
+
+## getProvider
+
+```java
+public String getProvider()
+```
+
+Get Ascend device provider.
+
+- Returns
+
+  the provider.
+
+## setProvider
+
+```java
+public void setProvider(String provider)
+```
+
+Set Ascend device provider.
+
+- Parameters
+- `provider`: provider the provider to set.
+
+## setDeviceID
+
+```java
+public void setDeviceID(int deviceId)
+```
+
+Set the Ascend device ID.
+
+- Parameters
+- `deviceId`: deviceId the deviceId to set.
+
+## getRankID
+
+```java
+public int getRankID()
+```
+
+Get the logical ID of a distributed model in the cluster.
+
+- Returns
+
+  the rankId.
+
+## setRankID
+
+```java
+public void setRankID(int rankId)
+```
+
+Set the logical ID of a distributed model in the cluster.
+
+- Parameters
+
+- `rankId`: rankId the rankId to set.
+
+## getInsertOpConfigPath
+
+```java
+public String getInsertOpConfigPath()
+```
+
+Get the AIPP configuration file path.
+
+- Returns
+
+  the insertOpConfigPath.
+
+## setInsertOpConfigPath
+
+```java
+public void setInsertOpConfigPath(String insertOpConfigPath)
+```
+
+Set the AIPP configuration file path.
+
+- Parameters
+
+    - `insertOpConfigPath`: insertOpConfigPath AIPP configuration file path.
+
+## getInputFormat
+
+```java
+public String getInputFormat()
+```
+
+Get the input format of the model.
+
+- Returns
+
+    the inputFormat.
+
+## setInputFormat
+
+```java
+public void setInputFormat(String inputFormat)
+```
+
+Set the input format of the model.Optional "NCHW", "NHWC", and "ND"
+
+- Parameters
+
+- `inputFormat`: inputFormat .
+
+## getInputShape
+
+```java
+public String getInputShape()
+```
+
+Get the input shape of the model.
+
+- Returns
+
+  the inputShape.
+
+## setInputShape
+
+```java
+public void setInputShape(String inputShape)
+```
+
+Set the input shape of the model. e.g. "input_op_name1:1,2,3,4;input_op_name2:4,3,2,1;".
+
+- Parameters
+- `inputShape`: inputShape Model input shape.
+
+## getInputShapeMap
+
+```java
+public HashMap<Integer, ArrayList<Integer>> getInputShapeMap()
+```
+
+Get the input shape mapping of the model.
+
+- Returns
+
+  the inputShapeMap.
+
+## setInputShapeMap
+
+```java
+public void setInputShapeMap(HashMap<Integer, ArrayList<Integer>> inputShapeMap)
+```
+
+Model input shape. e.g. {{0, {1,2,3,4}}, {1, {4,3,2,1}}}。
+
+- Parameters
+- `inputShapeMap`: inputShapeMap the inputShapeMap to set.
+
+## getDynamicBatchSize
+
+```java
+public ArrayList<Integer> getDynamicBatchSize()
+```
+
+Get the dynamic batch sizes of the model.
+
+- Returns
+
+  the dynamicBatchSize.
+
+## setDynamicBatchSize
+
+```java
+public void setDynamicBatchSize(ArrayList<Integer> dynamicBatchSize)
+```
+
+Dynamic batch sizes of model inputs. Ranges from 2 to 100. e.g. {1, 2} means batch size 1 and 2 are configured.
+
+- Parameters
+- `dynamicBatchSize`: dynamicBatchSize the dynamicBatchSize to set.
+
+## getDynamicImageSize
+
+```java
+public String getDynamicImageSize()
+```
+
+Get the dynamic image sizes of the model.
+
+- Returns
+
+  the dynamicImageSize.
+
+## setDynamicImageSize
+
+```java
+public void setDynamicImageSize(String dynamicImageSize)
+```
+
+Set the dynamic image sizes of the model.
+
+- Parameters
+- `dynamicImageSize`: dynamicImageSize the dynamicImageSize to set.
+
+## getOutputType
+
+```java
+public int getOutputType()
+```
+
+Get the output type of the model.
+
+- Returns
+
+  the outputType.
+
+## setOutputType
+
+```java
+public void setOutputType(int outputType)
+```
+
+Set the type of model outputs. can be DataType.kNumberTypeFloat32, DataType.kNumberTypeUInt8, or DataType.kNumberTypeFloat16.
+
+- Parameters
+- `outputType`: outputType the outputType to set.
+
+## getPrecisionMode
+
+```java
+public String getPrecisionMode()
+```
+
+Get the precision mode of the model.
+
+- Returns
+
+  the precisionMode.
+
+## setPrecisionMode
+
+```java
+public void setPrecisionMode(String precisionMode)
+```
+
+Set the precision mode. Optional "enforce_fp16", "preferred_fp32", "enforce_origin", "enforce_fp32", and "preferred_optimal". "enforce_fp16" is set as default.
+
+- Parameters
+- `precisionMode`: precisionMode.
+
+## getOpSelectImplMode
+
+```java
+public String getOpSelectImplMode()
+```
+
+Get the operator selection implementation mode of the model.
+
+- Returns
+
+  the opSelectImplMode.
+
+## setOpSelectImplMode
+
+```java
+public void setOpSelectImplMode(String opSelectImplMode)
+```
+
+Set the operator selection implementation mode of the model. Optional "high_performance" and "high_precision". "high_performace" is set as default.
+
+- Parameters
+- `opSelectImplMode`: opSelectImplMode.
+
+## getFusionSwitchConfigPath
+
+```java
+public String getFusionSwitchConfigPath()
+```
+
+Get fusion switch config file path. It controls which fusion passes to be turned off.
+
+- Returns
+
+  the fusionSwitchConfigPath.
+
+## setFusionSwitchConfigPath
+
+```java
+public void setFusionSwitchConfigPath(String fusionSwitchConfigPath)
+```
+
+Set fusion switch config file path.
+
+- Parameters
+- `fusionSwitchConfigPath`: fusionSwitchConfigPath the fusionSwitchConfigPath to set.
+
+## getBufferOptimizeMode
+
+```java
+public String getBufferOptimizeMode()
+```
+
+Set the buffer optimize mode. Optional "l1_optimize", "l2_optimize", or "off_optimize". "l2_optimize" is set as default.
+
+- Returns
+
+  the bufferOptimizeMode.
+
+## setBufferOptimizeMode
+
+```java
+public void setBufferOptimizeMode(String bufferOptimizeMode)
+```
+
+Set the buffer optimization mode of the model.
+
+- Parameters
+- `bufferOptimizeMode`: bufferOptimizeMode the bufferOptimizeMode to set.
\ No newline at end of file
diff --git a/docs/lite/api/source_en/api_java/class_list.md b/docs/lite/api/source_en/api_java/class_list.md
index e274fda95397cfd45d3ec972f8b6c8518626e701..81add4fee390e3b4ad5dbe8940421ae4c8746b96 100644
--- a/docs/lite/api/source_en/api_java/class_list.md
+++ b/docs/lite/api/source_en/api_java/class_list.md
@@ -10,10 +10,11 @@
 | com.mindspore        | [ModelParallelRunner](https://www.mindspore.cn/lite/api/en/master/api_java/model_parallel_runner.html) | Defines MindSpore Lite concurrent inference.            | √      | ✕      |
 | com.mindspore.config   | [RunnerConfig](https://www.mindspore.cn/lite/api/en/master/api_java/runner_config.html) | RunnerConfig defines configuration parameters for concurrent inference.             | √      | ✕      |
 | com.mindspore        | [Graph](https://www.mindspore.cn/lite/api/en/master/api_java/graph.html) | Graph defines the compute graph in MindSpore.           | ✕      | √      |
-| com.mindspore.config | [CpuBindMode](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/CpuBindMode.java) | CpuBindMode defines the CPU binding mode.                                | √      | √      |
-| com.mindspore.config | [DeviceType](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/DeviceType.java) | DeviceType defines the back-end device type.                                | √      | √      |
-| com.mindspore.config  | [DataType](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/DataType.java) | DataType defines the supported data types.                             | √      | √      |
-| com.mindspore.config   | [Version](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/Version.java) | Version is used to obtain the version information of MindSpore.                    | ✕      | √      |
-| com.mindspore.config   | [ModelType](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/ModelType.java) | ModelType defines the model file type.                  | √      | √      |
-| com.mindspore.config | [AscendDeviceInfo](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/AscendDeviceInfo.java) | The AscendDeviceInfo class is used to configure MindSpore Lite Ascend device options. | √ | ✕ |
-| com.mindspore.config | [TrainCfg](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/TrainCfg.java) | Configuration parameters used for model training on the device. | ✕ | √ |
+| com.mindspore.config | [CpuBindMode](https://www.mindspore.cn/lite/api/en/master/api_java/mscontext.html#cpubindmode) | CpuBindMode defines the CPU binding mode.                                | √      | √      |
+| com.mindspore.config | [DeviceType](https://www.mindspore.cn/lite/api/en/master/api_java/mscontext.html#devicetype) | DeviceType defines the back-end device type.                                | √      | √      |
+| com.mindspore.config  | [DataType](https://www.mindspore.cn/lite/api/en/master/api_java/mstensor.html#datatype) | DataType defines the supported data types.                             | √      | √      |
+| com.mindspore.config   | [Version](https://www.mindspore.cn/lite/api/en/master/api_java/Version.html) | Version is used to obtain the version information of MindSpore.                    | ✕      | √      |
+| com.mindspore.config   | [ModelType](https://www.mindspore.cn/lite/api/en/master/api_java/model.html#modeltype) | ModelType defines the model file type.                  | √      | √      |
+| com.mindspore.config | [AscendDeviceInfo](https://www.mindspore.cn/lite/api/en/master/api_java/AscendDeviceInfo.html) | The AscendDeviceInfo class is used to configure MindSpore Lite Ascend device options. | √ | ✕ |
+| com.mindspore.config | [TrainCfg](https://www.mindspore.cn/lite/api/en/master/api_java/TrainCfg.html) | Configuration parameters used for model training on the device. | ✕ | √ |
+
diff --git a/docs/lite/api/source_en/api_java/train_cfg.md b/docs/lite/api/source_en/api_java/train_cfg.md
new file mode 100644
index 0000000000000000000000000000000000000000..8ec3065c55ce220bf8cb826e57fa4350fec239f2
--- /dev/null
+++ b/docs/lite/api/source_en/api_java/train_cfg.md
@@ -0,0 +1,84 @@
+# TrainCfg
+
+[![View Source On Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source_en.svg)](https://gitee.com/mindspore/docs/blob/master/docs/lite/api/source_en/api_java/train_cfg.md)
+
+```java
+import com.mindspore.config.TrainCfg;
+```
+
+Configuration parameters used for model training on the device.
+
+## Public Member Functions
+
+| function                                   | Supported At Cloud-side Inference | Supported At Device-side Inference |
+| ------------------------------------------ |--------|--------|
+| [boolean init()](#init) | ✕     | √      |
+| [boolean init(String loss_name)](#init) | ✕     | √      |
+| [void free()](#free) | ✕     | √      |
+| [boolean addMixPrecisionCfg(boolean dynamicLossScale, float lossScale, int thresholdIterNum)](#addMixPrecisionCfg) | ✕     | √      |
+| [long getTrainCfgPtr()](#getTrainCfgPtr) | ✕ | √ |
+
+## init
+
+```java
+public boolean init()
+```
+
+Init train config.
+
+- Returns
+
+  init status.
+
+```java
+public boolean init(String loss_name)
+```
+
+Init train config specified loss name.
+
+- Parameters
+
+- `loss_name`: loss_name loss name used for split inference and train part.
+
+- Returns
+
+  初始化状态。  
+
+## free
+
+```java
+public void free()
+```
+
+Free train config.
+
+## addMixPrecisionCfg
+
+```java
+public boolean addMixPrecisionCfg(boolean dynamicLossScale, float lossScale, int thresholdIterNum)
+```
+
+Add mix precision config to train config.
+
+- Parameters
+- `dynamicLossScale`: dynamicLossScale if dynamic or fix loss scale factor.
+
+- `lossScale`: loss scale factor.
+
+- `thresholdIterNum`: thresholdIterNum a threshold for modifying loss scale when dynamic loss scale is enabled.
+
+- Returns
+
+  add status.
+
+## getTrainCfgPtr
+
+```java
+public long getTrainCfgPtr()
+```
+
+Get train config pointer.
+
+- Returns
+
+  train config pointer.
diff --git a/docs/lite/api/source_en/api_java/version.md b/docs/lite/api/source_en/api_java/version.md
new file mode 100644
index 0000000000000000000000000000000000000000..99903c00f88851d726b3c6e050568927be42da82
--- /dev/null
+++ b/docs/lite/api/source_en/api_java/version.md
@@ -0,0 +1,36 @@
+# Version
+
+[![View Source On Gitee](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source_en.svg)](https://gitee.com/mindspore/docs/blob/master/docs/lite/api/source_en/api_java/version.md)
+
+```java
+import com.mindspore.config.Version;
+```
+
+Get MindSpore Lite version info.
+
+## Public Member Functions
+
+| function                                   | Supported At Cloud-side Inference | Supported At Device-side Inference |
+| ------------------------------------------ |--------|--------|
+| [static void init()](#init) | √    | √      |
+| [static native String version()](#version) | √    | √      |
+
+## init
+
+```java
+public static void init()
+```
+
+Init function.
+
+## version
+
+```java
+public static native String version()
+```
+
+Get MindSpore Lite version info.
+
+- Returns
+
+  MindSpore Lite version info.
diff --git a/docs/lite/api/source_en/index.rst b/docs/lite/api/source_en/index.rst
index 522bcff0e167aa1bb42a2ec22d9c68a77aabe531..5c486f06cc88dd6c4058a7f792c5077af55b121f 100644
--- a/docs/lite/api/source_en/index.rst
+++ b/docs/lite/api/source_en/index.rst
@@ -378,4 +378,7 @@ Summary of MindSpore Lite API support
    api_java/graph
    api_java/runner_config
    api_java/model_parallel_runner
+   api_java/ascend_device_info
+   api_java/train_cfg
+   api_java/version
    api_java/lite_java_example
diff --git a/docs/lite/api/source_zh_cn/api_java/ascend_device_info.md b/docs/lite/api/source_zh_cn/api_java/ascend_device_info.md
new file mode 100644
index 0000000000000000000000000000000000000000..01ae3d34f5febc744b05bcbb245df17c83262282
--- /dev/null
+++ b/docs/lite/api/source_zh_cn/api_java/ascend_device_info.md
@@ -0,0 +1,380 @@
+# AscendDeviceInfo
+
+[![查看源文件](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source.svg)](https://gitee.com/mindspore/docs/blob/master/docs/lite/api/source_zh_cn/api_java/ascenddeviceinfo.md)
+
+```java
+import com.mindspore.config.AscendDeviceInfo;
+```
+
+用于配置MindSpore Lite Ascend设备选项。
+
+## 公有成员函数
+
+| function                                   | 云侧推理是否支持 | 端侧推理是否支持 |
+| ------------------------------------------ |--------|--------|
+| [int getDeviceID)](#getDeviceID) | √      | ✕     |
+| [int getDeviceType](#getDeviceType) | √      | ✕     |
+| [String getProvider](#getProvider) | √      | ✕     |
+| [void setProvider(String provider)](#setProvider) | √      | ✕     |
+| [void setDeviceID(int deviceId)](#setDeviceID) | √ | ✕ |
+| [int getRankID()](#getRankID) | √      | ✕     |
+| [void setRankID(int rankId)](#setRankID) | √      | ✕     |
+| [String getInsertOpConfigPath()](#getInsertOpConfigPath) | √      | ✕     |
+| [void setInsertOpConfigPath(String insertOpConfigPath)](#setInsertOpConfigPath) | √      | ✕     |
+| [String getInputFormat()](#getInputFormat) | √ | ✕ |
+| [void setInputFormat(String inputFormat)](#setInputFormat) | √      | ✕     |
+| [String getInputShape()](#getInputShape) | √      | ✕     |
+| [void setInputShape(String inputShape)](#setInputShape) | √      | ✕     |
+| [HashMap<Integer, ArrayList<Integer>> getInputShapeMap()](#getInputShapeMap) | √      | ✕     |
+| [void setInputShapeMap(HashMap<Integer, ArrayList<Integer>> inputShapeMap)](#setInputShapeMap) | √      | ✕     |
+| [ArrayList<Integer> getDynamicBatchSize()](#getDynamicBatchSize) | √      | ✕     |
+| [void setDynamicBatchSize(ArrayList<Integer> dynamicBatchSize)](#setDynamicBatchSize) | √      | ✕     |
+| [String getDynamicImageSize()](#getDynamicImageSize) | √      | ✕     |
+| [void setDynamicImageSize(String dynamicImageSize)](#setDynamicImageSize) | √      | ✕     |
+| [int getOutputType()](#getOutputType) | √ | ✕ |
+| [void setOutputType(int outputType)](#setOutputType) | √      | ✕     |
+| [String getPrecisionMode()](#getPrecisionMode) | √ | ✕ |
+| [void setPrecisionMode(String precisionMode)](#setPrecisionMode) | √ | ✕ |
+| [String getOpSelectImplMode()](#getOpSelectImplMode) | √ | ✕ |
+| [void setOpSelectImplMode(String opSelectImplMode)](#setOpSelectImplMode) | √ | ✕ |
+| [String getFusionSwitchConfigPath()](#getFusionSwitchConfigPath) | √ | ✕ |
+| [void setFusionSwitchConfigPath(String fusionSwitchConfigPath)](#setFusionSwitchConfigPath) | √ | ✕ |
+| [String getBufferOptimizeMode()](#getBufferOptimizeMode) | √ | ✕ |
+| [void setBufferOptimizeMode(String bufferOptimizeMode)](#setBufferOptimizeMode) | √ | ✕ |
+
+## getDeviceID
+
+```java
+public int getDeviceID()
+```
+
+获取昇腾设备ID。
+
+- 返回值
+
+  设备ID。
+
+## getDeviceType
+
+```java
+public int getDeviceType()
+```
+
+获取昇腾设备类型。
+
+- 返回值
+
+  设备类型。
+
+## getProvider
+
+```java
+public String getProvider()
+```
+
+获取模型后端类型。
+
+- 返回值
+
+  模型后端类型。
+
+## setProvider
+
+```java
+public void setProvider(String provider)
+```
+
+设置模型后端类型。
+
+- 参数
+- `provider`: 要设置的模型后端类型。
+
+## setDeviceID
+
+```java
+public void setDeviceID(int deviceId)
+```
+
+设置昇腾设备ID。
+
+- 参数
+- `deviceId`: 要设置的设备ID。
+
+## getRankID
+
+```java
+public int getRankID()
+```
+
+获取集群中分布式模型的逻辑ID。
+
+- 返回值
+
+  逻辑ID。
+
+## setRankID
+
+```java
+public void setRankID(int rankId)
+```
+
+设置集群中分布式模型的逻辑ID。
+
+- 参数
+
+- `rankId`: 要设置的逻辑ID。
+
+## getInsertOpConfigPath
+
+```java
+public String getInsertOpConfigPath()
+```
+
+获取AIPP配置文件路径。
+
+- 返回值
+
+  配置文件路径。
+
+## setInsertOpConfigPath
+
+```java
+public void setInsertOpConfigPath(String insertOpConfigPath)
+```
+
+设置AIPP配置文件路径。
+
+- 参数
+
+    - `insertOpConfigPath`: 要设置的AIPP配置文件路径。
+
+## getInputFormat
+
+```java
+public String getInputFormat()
+```
+
+获取模型的输入格式。
+
+- 返回值
+
+    输入格式。
+
+## setInputFormat
+
+```java
+public void setInputFormat(String inputFormat)
+```
+
+设置模型的输入格式。可选"NCHW"，"NHWC"和"ND"。
+
+- 参数
+
+- `inputFormat`: 要设置的输入格式。
+
+## getInputShape
+
+```java
+public String getInputShape()
+```
+
+获取模型的输入形状。
+
+- 返回值
+
+  输入形状。
+
+## setInputShape
+
+```java
+public void setInputShape(String inputShape)
+```
+
+设置模型的输入形状。例如"input_op_name1:1,2,3,4;input_op_name2:4,3,2,1;"。
+
+- 参数
+- `inputShape`: 模型输入形状。
+
+## getInputShapeMap
+
+```java
+public HashMap<Integer, ArrayList<Integer>> getInputShapeMap()
+```
+
+获取模型的输入形状映射。
+
+- 返回值
+
+  输入形状映射。
+
+## setInputShapeMap
+
+```java
+public void setInputShapeMap(HashMap<Integer, ArrayList<Integer>> inputShapeMap)
+```
+
+设置模型的输入形状。例如{{0, {1,2,3,4}}, {1, {4,3,2,1}}}。
+
+- 参数
+- `inputShapeMap`: 要设置的输入形状映射。
+
+## getDynamicBatchSize
+
+```java
+public ArrayList<Integer> getDynamicBatchSize()
+```
+
+获取模型的动态batch大小。
+
+- 返回值
+
+  动态batch大小。
+
+## setDynamicBatchSize
+
+```java
+public void setDynamicBatchSize(ArrayList<Integer> dynamicBatchSize)
+```
+
+设置模型的动态batch大小。取值范围为 2 到 100。例如 {1, 2} 表示batch大小配置为 1 和 2。
+
+- 参数
+- `dynamicBatchSize`: 要设置的动态batch大小。
+
+## getDynamicImageSize
+
+```java
+public String getDynamicImageSize()
+```
+
+获取模型的动态图像尺寸。
+
+- 返回值
+
+  动态图像尺寸。
+
+## setDynamicImageSize
+
+```java
+public void setDynamicImageSize(String dynamicImageSize)
+```
+
+设置模型的动态图像尺寸。
+
+- 参数
+- `dynamicImageSize`: 要设置的动态图像尺寸。
+
+## getOutputType
+
+```java
+public int getOutputType()
+```
+
+获取模型的输出类型。
+
+- 返回值
+
+  输出类型。
+
+## setOutputType
+
+```java
+public void setOutputType(int outputType)
+```
+
+设置模型的输出类型。可以是 DataType.kNumberTypeFloat32、DataType.kNumberTypeUInt8 或 DataType.kNumberTypeFloat16。
+
+- 参数
+- `outputType`: 要设置的输出类型。
+
+## getPrecisionMode
+
+```java
+public String getPrecisionMode()
+```
+
+获取模型的精度模式。
+
+- 返回值
+
+  精度模式。
+
+## setPrecisionMode
+
+```java
+public void setPrecisionMode(String precisionMode)
+```
+
+设置模型的精度模式。可选"enforce_fp16"、"preferred_fp32"、"enforce_origin"、"enforce_fp32" 和 "preferred_optimal"，"enforce_fp16" 为默认值。
+
+- 参数
+- `precisionMode`: 要设置的精度模式。
+
+## getOpSelectImplMode
+
+```java
+public String getOpSelectImplMode()
+```
+
+获取模型的算子选择实现方式。
+
+- 返回值
+
+  算子实现方式。
+
+## setOpSelectImplMode
+
+```java
+public void setOpSelectImplMode(String opSelectImplMode)
+```
+
+设置模型的算子选择实现方式。可选“high_performance”和“high_precision”，默认设置为“high_performace”。
+
+- 参数
+- `opSelectImplMode`: 算子实现方式。
+
+## getFusionSwitchConfigPath
+
+```java
+public String getFusionSwitchConfigPath()
+```
+
+获取融合开关配置文件路径，它控制要关闭哪些融合pass。
+
+- 返回值
+
+  融合开关配置文件路径。
+
+## setFusionSwitchConfigPath
+
+```java
+public void setFusionSwitchConfigPath(String fusionSwitchConfigPath)
+```
+
+设置融合开关配置文件路径。
+
+- 参数
+- `fusionSwitchConfigPath`: 要设置的融合开关配置文件路径。
+
+## getBufferOptimizeMode
+
+```java
+public String getBufferOptimizeMode()
+```
+
+获取缓冲区优化模式。可选“l1_optimize”、“l2_optimize”或“off_optimize”。“l2_optimize”设置为默认值。
+
+- 返回值
+
+  缓冲区优化模式。
+
+## setBufferOptimizeMode
+
+```java
+public void setBufferOptimizeMode(String bufferOptimizeMode)
+```
+
+设置缓冲区优化模式。
+
+- 参数
+- `bufferOptimizeMode`: 要设置的缓冲区优化模式。
\ No newline at end of file
diff --git a/docs/lite/api/source_zh_cn/api_java/class_list.md b/docs/lite/api/source_zh_cn/api_java/class_list.md
index e9ae7e8699eab275a87d39ac8caa86d8ec09e666..6137934998551407823cb15d7fff2f07254e6fd3 100644
--- a/docs/lite/api/source_zh_cn/api_java/class_list.md
+++ b/docs/lite/api/source_zh_cn/api_java/class_list.md
@@ -10,11 +10,11 @@
 | com.mindspore        | [ModelParallelRunner](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/model_parallel_runner.html) | 定义了MindSpore Lite并发推理。                       | √      | ✕      |
 | com.mindspore.config   | [RunnerConfig](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/runner_config.html) | RunnerConfig 定义并发推理的配置参数。                    | √      | ✕      |
 | com.mindspore        | [Graph](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/graph.html) | Model定义了MindSpore中的计算图。          | ✕      | √      |
-| com.mindspore.config | [CpuBindMode](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/CpuBindMode.java) | CpuBindMode定义了CPU绑定模式。                               | √      | √      |
-| com.mindspore.config | [DeviceType](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/DeviceType.java) | DeviceType定义了后端设备类型。                               | √      | √      |
-| com.mindspore.config  | [DataType](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/DataType.java) | DataType定义了所支持的数据类型。                             | √      | √      |
-| com.mindspore.config   | [Version](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/Version.java) | Version用于获取MindSpore的版本信息。                    | √     | √      |
-| com.mindspore.config   | [ModelType](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/ModelType.java) | ModelType 定义了模型文件的类型。                    | √      | √      |
-| com.mindspore.config | [AscendDeviceInfo](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/AscendDeviceInfo.java) | MindSpore Lite用于昇腾硬件推理的配置参数。 | √ | ✕ |
-| com.mindspore.config | [TrainCfg](https://gitee.com/mindspore/mindspore-lite/blob/master/mindspore-lite/java/src/main/java/com/mindspore/config/TrainCfg.java) | 用于端上模型训练的配置参数。 | ✕ | √ |
+| com.mindspore.config | [CpuBindMode](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/mscontext.html#cpubindmode) | CpuBindMode定义了CPU绑定模式。                               | √      | √      |
+| com.mindspore.config | [DeviceType](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/mscontext.html#devicetype) | DeviceType定义了后端设备类型。                               | √      | √      |
+| com.mindspore.config  | [DataType](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/mstensor.html#datatype) | DataType定义了所支持的数据类型。                             | √      | √      |
+| com.mindspore.config   | [Version](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/version.html) | Version用于获取MindSpore的版本信息。                    | √     | √      |
+| com.mindspore.config   | [ModelType](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/model.html#modeltype) | ModelType 定义了模型文件的类型。                    | √      | √      |
+| com.mindspore.config | [AscendDeviceInfo](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/ascend_device_info.html) | MindSpore Lite用于昇腾硬件推理的配置参数。 | √ | ✕ |
+| com.mindspore.config | [TrainCfg](https://www.mindspore.cn/lite/api/zh-CN/master/api_java/train_cfg.html) | 用于端上模型训练的配置参数。 | ✕ | √ |
 
diff --git a/docs/lite/api/source_zh_cn/api_java/train_cfg.md b/docs/lite/api/source_zh_cn/api_java/train_cfg.md
new file mode 100644
index 0000000000000000000000000000000000000000..29b113c6202308e96d4fe7ebc3898f285bcf8bbb
--- /dev/null
+++ b/docs/lite/api/source_zh_cn/api_java/train_cfg.md
@@ -0,0 +1,84 @@
+# TrainCfg
+
+[![查看源文件](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source.svg)](https://gitee.com/mindspore/docs/blob/master/docs/lite/api/source_zh_cn/api_java/traincfg.md)
+
+```java
+import com.mindspore.config.TrainCfg;
+```
+
+用于端上模型训练的配置参数。
+
+## 公有成员函数
+
+| function                                   | 云侧推理是否支持 | 端侧推理是否支持 |
+| ------------------------------------------ |--------|--------|
+| [boolean init()](#init) | ✕     | √      |
+| [boolean init(String loss_name)](#init) | ✕     | √      |
+| [void free()](#free) | ✕     | √      |
+| [boolean addMixPrecisionCfg(boolean dynamicLossScale, float lossScale, int thresholdIterNum)](#addMixPrecisionCfg) | ✕     | √      |
+| [long getTrainCfgPtr()](#getTrainCfgPtr) | ✕ | √ |
+
+## init
+
+```java
+public boolean init()
+```
+
+初始化训练配置。
+
+- 返回值
+
+  初始化状态。
+
+```java
+public boolean init(String loss_name)
+```
+
+初始化训练配置指定损失函数名称。
+
+- 参数
+
+- `loss_name`:用于分割推理和训练部分的损失函数名称。
+
+- 返回值
+
+  初始化状态。  
+
+## free
+
+```java
+public void free()
+```
+
+释放训练配置。
+
+## addMixPrecisionCfg
+
+```java
+public boolean addMixPrecisionCfg(boolean dynamicLossScale, float lossScale, int thresholdIterNum)
+```
+
+将混合精度配置添加到训练配置中。
+
+- 参数
+- `dynamicLossScale`: 是动态还是静态损失比例因子。
+
+- `lossScale`:损失比例因子 。
+
+- `thresholdIterNum`: 启用dynamicLossScale时修改损失比例因子的阈值。
+
+- 返回值
+
+  添加状态。
+
+## getTrainCfgPtr
+
+```java
+public long getTrainCfgPtr()
+```
+
+获取训练配置指针。
+
+- 返回值
+
+  训练配置指针。
diff --git a/docs/lite/api/source_zh_cn/api_java/version.md b/docs/lite/api/source_zh_cn/api_java/version.md
new file mode 100644
index 0000000000000000000000000000000000000000..150a616b4ed6eed4a55cb04b1a8e77cc71919a8b
--- /dev/null
+++ b/docs/lite/api/source_zh_cn/api_java/version.md
@@ -0,0 +1,36 @@
+# Version
+
+[![查看源文件](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/master/resource/_static/logo_source.svg)](https://gitee.com/mindspore/docs/blob/master/docs/lite/api/source_zh_cn/api_java/version.md)
+
+```java
+import com.mindspore.config.Version;
+```
+
+获取MindSpore Lite 版本信息。
+
+## 公有成员函数
+
+| function                                   | 云侧推理是否支持 | 端侧推理是否支持 |
+| ------------------------------------------ |--------|--------|
+| [static void init()](#init) | √    | √      |
+| [static native String version()](#version) | √    | √      |
+
+## init
+
+```java
+public static void init()
+```
+
+初始化函数。
+
+## version
+
+```java
+public static native String version()
+```
+
+获取MindSpore Lite 版本信息。
+
+- 返回值
+
+  MindSpore Lite的版本信息。
diff --git a/docs/lite/api/source_zh_cn/index.rst b/docs/lite/api/source_zh_cn/index.rst
index 2f8ac789cf42e5661eecbde2ec89f9c97c87e783..c7e8c326ff732a4c017f39948e60086a4b9187bd 100644
--- a/docs/lite/api/source_zh_cn/index.rst
+++ b/docs/lite/api/source_zh_cn/index.rst
@@ -370,6 +370,9 @@ MindSpore Lite API 支持情况汇总
    api_java/graph
    api_java/runner_config
    api_java/model_parallel_runner
+   api_java/ascend_device_info
+   api_java/train_cfg
+   api_java/version
    api_java/lite_java_example
 
 .. toctree::