diff --git a/docs/lite/api/source_en/api_java/graph.md b/docs/lite/api/source_en/api_java/graph.md
index 6535d6603c2807c5534ce644f0e01c27d6bf4153..5252e7f6fb36c36a36c6bf5fd24f0cb162ce7af2 100644
--- a/docs/lite/api/source_en/api_java/graph.md
+++ b/docs/lite/api/source_en/api_java/graph.md
@@ -19,7 +19,7 @@ Model defines computational graph in MindSpore.
 ## load
 
 ```java
- boolean load(String file)
+public boolean load(String file)
 ```
 
 Load the MindSpore model from file.
diff --git a/docs/lite/api/source_en/api_java/model.md b/docs/lite/api/source_en/api_java/model.md
index 2fbfc1d816cc908e7c30aed06fadf078aef099eb..4a612af12813c7e03fdcd65dfa47fb9c6ade4095 100644
--- a/docs/lite/api/source_en/api_java/model.md
+++ b/docs/lite/api/source_en/api_java/model.md
@@ -12,17 +12,17 @@ Model defines model in MindSpore for compiling and running.
 
 | function                                                     | Supported At Cloud-side Inference | Supported At Device-side Inference |
 | ------------------------------------------------------------ |--------|--------|
-| [boolean build(MappedByteBuffer buffer, int modelType, MSContext context, char[] dec_key, String dec_mode)](#build)           | ✕      | √      |
+| [boolean build(final MappedByteBuffer buffer, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)](#build) | ✕      | √      |
 | [boolean build(Graph graph, MSContext context, TrainCfg cfg)](#build) | ✕      | √      |
 | [boolean build(MappedByteBuffer buffer, MSContext context)](#build)                            | √      | √      |
-| [boolean build(String modelPath, MSContext context, char[] dec_key, String dec_mode)](#build)  | ✕      | √      |
-| [boolean build(String modelPath, MSContext context)](#build)                                         | √      | √      |
+| [boolean build(String modelPath, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)](#build) | ✕      | √      |
+| [boolean build(String modelPath, int modelType, MSContext context)](#build) | √      | √      |
 | [boolean predict()](#predict)                                         | √      | √      |
 | [boolean runStep()](#runstep)                                         | ✕      | √      |
 | [boolean resize(List<MSTensor\> inputs, int[][] dims)](#resize)                                         | √      | √      |
 | [List<MSTensor\> getInputs()](#getinputs)                                         | √      | √      |
 | [List<MSTensor\> getOutputs()](#getoutputs)                                         | √      | √      |
-| [MSTensor getInputsByTensorName(String tensorName)](#getinputsbytensorname)                                         | √      | √      |
+| [MSTensor getInputByTensorName(String tensorName)](#getinputbytensorname)                                         | √      | √      |
 | [MSTensor getOutputByTensorName(String tensorName)](#getoutputbytensorname)                                         | √      | √      |
 | [List<MSTensor\> getOutputsByNodeName(String nodeName)](#getoutputsbynodename)                                         | ✕      | √      |
 | [List<String\> getOutputTensorNames()](#getoutputtensornames)                                         | √      | √      |
@@ -56,7 +56,7 @@ Compile MindSpore model by computational graph.
   Whether the build is successful.
 
 ```java
-public boolean build(MappedByteBuffer buffer, int modelType, MSContext context, char[] dec_key, String dec_mode)
+public boolean build(final MappedByteBuffer buffer, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)
 ```
 
 Compile MindSpore model by computational graph buffer.
@@ -66,8 +66,9 @@ Compile MindSpore model by computational graph buffer.
     - `buffer`: computational graph buffer.
     - `modelType`: computational graph type. Optionally, there are `MT_MINDIR_LITE`, `MT_MINDIR`, corresponding to the `ms` model (exported by the `converter_lite` tool) and the `mindir` model (exported by MindSpore or exported by the `converter_lite` tool), respectively. Only MT_MINDIR_LITE is valid for Device-side Inference and the parameter value is ignored. Cloud-side inference supports `ms` and `mindir` model inference, which requires setting the parameter to the option value corresponding to the model. Cloud-side inference support for `ms` model will be removed in future iterations, and cloud-side inference via `mindir` model is recommended.
     - `context`: compile context.
-    - `dec_key`: define the key used to decrypt the ciphertext model. The key length is 16, 24, or 32.
-    - `dec_mode`: define the decryption mode. Options: AES-GCM, AES-CBC.
+    - `decKey`: define the key used to decrypt the ciphertext model. The key length is 16, 24, or 32.
+    - `decMode`: define the decryption mode. Options: AES-GCM, AES-CBC.
+    - `croptoLibPath`: define the openssl library path.
 
 - Returns
 
@@ -90,7 +91,7 @@ Compile MindSpore model by computational graph buffer, the default is MindIR mod
   Whether the build is successful.
 
 ```java
-public boolean build(String modelPath, int modelType, MSContext context, char[] dec_key, String dec_mode)
+public boolean build(String modelPath, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)
 ```
 
 Compile MindSpore model by computational graph file.
@@ -100,8 +101,9 @@ Compile MindSpore model by computational graph file.
     - `modelPath`: computational graph file.
     - `modelType`: computational graph type. Optionally, there are `MT_MINDIR_LITE`, `MT_MINDIR`, corresponding to the `ms` model (exported by the `converter_lite` tool) and the `mindir` model (exported by MindSpore or exported by the `converter_lite` tool), respectively. Only MT_MINDIR_LITE is valid for Device-side Inference and the parameter value is ignored. Cloud-side inference supports `ms` and `mindir` model inference, which requires setting the parameter to the option value corresponding to the model. Cloud-side inference support for `ms` model will be removed in future iterations, and cloud-side inference via `mindir` model is recommended.
     - `context`: compile context.
-    - `dec_key`: define the key used to decrypt the ciphertext model. The key length is 16, 24, or 32.
-    - `dec_mode`: define the decryption mode. Options: AES-GCM, AES-CBC.
+    - `decKey`: define the key used to decrypt the ciphertext model. The key length is 16, 24, or 32.
+    - `decMode`: define the decryption mode. Options: AES-GCM, AES-CBC.
+    - `croptoLibPath`: define the openssl library path.
 
 - Returns
 
@@ -188,10 +190,10 @@ Get the output MSTensors of MindSpore model.
 
   The MindSpore MSTensor list.
 
-## getInputsByTensorName
+## getInputByTensorName
 
 ```java
-public MSTensor getInputsByTensorName(String tensorName)
+public MSTensor getInputByTensorName(String tensorName)
 ```
 
 Get the input MSTensors of MindSpore model by the node name.
@@ -394,4 +396,5 @@ public static final int MT_AIR = 1;
 public static final int MT_OM = 2;
 public static final int MT_ONNX = 3;
 public static final int MT_MINDIR_LITE = 4;
+public static final int MT_MINDIR_OPT = MT_MINDIR_LITE;
 ```
diff --git a/docs/lite/api/source_en/api_java/mscontext.md b/docs/lite/api/source_en/api_java/mscontext.md
index 70d77c483f59ac60baa42b232328ffeb0fbe2053..749eccc8c58f985cb9f7de8c2448ef83ac9f068b 100644
--- a/docs/lite/api/source_en/api_java/mscontext.md
+++ b/docs/lite/api/source_en/api_java/mscontext.md
@@ -93,7 +93,7 @@ Add device info for mscontext.
   Whether the device info add is successful.
 
 ```java
-boolean addDeviceInfo(int deviceType, boolean isEnableFloat16, int npuFreq)
+public boolean addDeviceInfo(int deviceType, boolean isEnableFloat16, int npuFreq)
 ```
 
 Add device info for mscontext.
@@ -131,7 +131,7 @@ Free the memory allocated for MSContext.
 ## setThreadNum
 
 ```java
-void setThreadNum(int threadNum)
+public void setThreadNum(int threadNum)
 ```
 
 Sets the number of threads at runtime.
@@ -144,7 +144,7 @@ If MSContext is not initialized, this function will do nothing and output null p
 ## getThreadNum
 
 ```java
-void int getThreadNum()
+public void int getThreadNum()
 ```
 
 Get the current thread number setting.
@@ -157,7 +157,7 @@ If MSContext is not initialized, this function will do nothing and output null p
 ## setInterOpParallelNum
 
 ```java
-void setInterOpParallelNum(int parallelNum)
+public void setInterOpParallelNum(int parallelNum)
 ```
 
 Set the parallel number of operators at runtime.
@@ -170,7 +170,7 @@ If MSContext is not initialized, this function will do nothing and output null p
 ## getInterOpParallelNum
 
 ```java
-int getInterOpParallelNum()
+public int getInterOpParallelNum()
 ```
 
 et the current operators parallel number setting.
@@ -183,7 +183,7 @@ If MSContext is not initialized, this function will return -1 and output null po
 ## setThreadAffinity
 
 ```java
-void setThreadAffinity(int mode)
+public void setThreadAffinity(int mode)
 ```
 
 Set the thread affinity to CPU cores.
@@ -196,7 +196,7 @@ If MSContext is not initialized, this function will do nothing and output null p
 ## getThreadAffinityMode
 
 ```java
- int getThreadAffinityMode()
+public int getThreadAffinityMode()
 ```
 
 Get the thread affinity of CPU cores.
@@ -209,7 +209,7 @@ If MSContext is not initialized, this function will return -1 and output null po
 ## setThreadAffinity
 
 ```java
-void setThreadAffinity(ArrayList<Integer> coreList)
+public void setThreadAffinity(ArrayList<Integer> coreList)
 ```
 
 Set the thread lists to CPU cores, if two different `setThreadAffinity` are set for a single MSContext at the same time, only `coreList` will take effect and `mode` will not.
@@ -222,7 +222,7 @@ If MSContext is not initialized, this function will do nothing and output null p
 ## getThreadAffinityCoreList
 
 ```java
-ArrayList<Integer> getThreadAffinityCoreList()
+public ArrayList<Integer> getThreadAffinityCoreList()
 ```
 
  Get the thread lists of CPU cores.
@@ -235,7 +235,7 @@ If MSContext is not initialized, this function will retutn an empty Arraylist an
 ## setEnableParallel
 
 ```java
-void setEnableParallel(boolean isParallel)
+public void setEnableParallel(boolean isParallel)
 ```
 
 Set the status whether to perform model inference or training in parallel.
@@ -248,7 +248,7 @@ If MSContext is not initialized, this function will do nothing and output null p
 ## getEnableParallel
 
 ```java
-boolean getEnableParallel()
+public boolean getEnableParallel()
 ```
 
 Get the status whether to perform model inference or training in parallel.
@@ -272,6 +272,7 @@ Define device type.
 public static final int DT_CPU = 0;
 public static final int DT_GPU = 1;
 public static final int DT_NPU = 2;
+public static final int DT_ASCEND = 3;
 ```
 
 The value of DeviceType is 0, and the specified device type is CPU.
@@ -280,6 +281,8 @@ The value of DeviceType is 1, and the specified device type is GPU.
 
 The value of DeviceType is 2, and the specified device type is NPU.
 
+The value of DeviceType is 3, and the specified device type is Ascend.
+
 ## CpuBindMode
 
 ```java
diff --git a/docs/lite/api/source_en/api_java/mstensor.md b/docs/lite/api/source_en/api_java/mstensor.md
index 8877b15bfc3ddb97e3c28b9ff21074fd67189074..8ccaffbbecefa1c1ef149a285e04c7b182488acc 100644
--- a/docs/lite/api/source_en/api_java/mstensor.md
+++ b/docs/lite/api/source_en/api_java/mstensor.md
@@ -20,11 +20,11 @@ MSTensor defined tensor in MindSpore.
 | [float[] getFloatData()](#getfloatdata)  | √      | √      |
 | [int[] getIntData()](#getintdata)        | √      | √      |
 | [long[] getLongData()](#getlongdata)     | √      | √      |
-| [void setData(byte[] data)](#setdata)     | √      | √      |
-| [void setData(float[] data)](#setdata)     | √      | √      |
-| [void setData(int[] data)](#setdata)     | √      | √      |
-| [void setData(long[] data)](#setdata)     | √      | √      |
-| [void setData(ByteBuffer data)](#setdata) | √      | √      |
+| [boolean setData(byte[] data)](#setdata) | √      | √      |
+| [boolean setData(float[] data)](#setdata) | √      | √      |
+| [boolean setData(int[] data)](#setdata) | √      | √      |
+| [boolean setData(long[] data)](#setdata) | √      | √      |
+| [boolean setData(ByteBuffer data)](#setdata) | √      | √      |
 | [long size()](#size)                       | √      | √      |
 | [int elementsNum()](#elementsnum)         | √      | √      |
 | [void free()](#free)                       | √      | √      |
@@ -140,7 +140,7 @@ Get output data of MSTensor, the data type is long.
 ## setData
 
 ```java
-public void setData(byte[] data)
+public boolean setData(byte[] data)
 ```
 
 Set the input data of MSTensor.
@@ -149,8 +149,12 @@ Set the input data of MSTensor.
 
     - `data`: Input data of byte[] type.
 
+- Returns
+
+  Whether the setting data is successful.
+
 ```java
-public void setData(float[] data)
+public boolean setData(float[] data)
 ```
 
 Set the input data of MSTensor.
@@ -159,8 +163,12 @@ Set the input data of MSTensor.
 
     - `data`: Input data of float[] type.
 
+- Returns
+
+  Whether the setting data is successful.
+
 ```java
-public void setData(int[] data)
+public boolean setData(int[] data)
 ```
 
 Set the input data of MSTensor.
@@ -169,8 +177,12 @@ Set the input data of MSTensor.
 
     - `data`: Input data of int[] type.
 
+- Returns
+
+  Whether the setting data is successful.
+
 ```java
-public void setData(long[] data)
+public boolean setData(long[] data)
 ```
 
 Set the input data of MSTensor.
@@ -179,8 +191,12 @@ Set the input data of MSTensor.
 
     - `data`: Input data of long[] type.
 
+- Returns
+
+  Whether the setting data is successful.
+
 ```java
-public void setData(ByteBuffer data)
+public boolean setData(ByteBuffer data)
 ```
 
 Set the input data of MSTensor.
@@ -189,6 +205,10 @@ Set the input data of MSTensor.
 
     - `data`: Input data of ByteBuffer type.
 
+- Returns
+
+  Whether the setting data is successful.
+
 ## size
 
 ```java
diff --git a/docs/lite/api/source_en/api_java/runner_config.md b/docs/lite/api/source_en/api_java/runner_config.md
index 50dceb8bb35a7be8ca28b59fa4a952b30b2918f1..e41024fc5d01162503911583942492c4c8d71298 100644
--- a/docs/lite/api/source_en/api_java/runner_config.md
+++ b/docs/lite/api/source_en/api_java/runner_config.md
@@ -10,9 +10,9 @@ RunnerConfig defines the configuration parameters of MindSpore Lite concurrent i
 | ------------------------------------------------------------   |--------|--------|
 | [boolean init()](#init)                            | √      | ✕      |
 | [public boolean init(MSContext msContext)](#init)  | √      | ✕      |
-| [public void setWorkerNum(int workerNum)](#setworkernum)                           | √      | ✕      |
+| [public void setWorkersNum(int workersNum)](#setworkersnum)                        | √      | ✕      |
 | [public void setConfigInfo(String section, HashMap<String, String> config)](#setconfiginfo)               | √      | ✕      |
-| [public void setConfigPath(String configPath)](#setconfigpath)                         | √      | ✕      |
+| [public void setConfigPath(String config_path)](#setconfigpath)                       | √      | ✕      |
 | [void getConfigPath()](#getconfigpath)                         | √      | ✕      |
 | [long getRunnerConfigPtr()](#getrunnerconfigptr)               | √      | ✕      |
 | [public void setDeviceIds(ArrayList<Integer\> deviceIds)](#setdeviceids)                         | √      | ✕      |
@@ -44,17 +44,17 @@ Configuration parameter initialization for parallel inference.
 
   Whether the initialization is successful.
 
-## setWorkerNum
+## setWorkersNum
 
 ```java
-public void setWorkerNum(int workerNum)
+public void setWorkersNum(int workersNum)
 ```
 
 The parameter setting of the number of models in parallel inference.
 
 - Parameters
 
-    - `workerNum`: Set the number of models in the configuration.
+    - `workersNum`: Set the number of models in the configuration.
 
 ## setConfigInfo
 
@@ -72,14 +72,14 @@ Model configuration parameter settings in parallel inference.
 ## setConfigPath
 
 ```java
-public void setConfigPath(String configPath)
+public void setConfigPath(String config_path)
 ```
 
 Set the configuration file path in concurrent inference.
 
 - Parameters
 
-    - `configPath`: config path.
+    - `config_path`: config path.
 
 ## getConfigPath
 
diff --git a/docs/lite/api/source_zh_cn/api_java/graph.md b/docs/lite/api/source_zh_cn/api_java/graph.md
index 1ee7c07dd20bbf097e39ccbbf585f0f2d8faaee4..ad0bcb722aa84adb03d73b3ff5ff1f3b385fcbc5 100644
--- a/docs/lite/api/source_zh_cn/api_java/graph.md
+++ b/docs/lite/api/source_zh_cn/api_java/graph.md
@@ -19,7 +19,7 @@ Graph定义了MindSpore的计算图。
 ## load
 
 ```java
- boolean load(String file)
+public boolean load(String file)
 ```
 
 从指定文件加载MindSpore模型。
diff --git a/docs/lite/api/source_zh_cn/api_java/model.md b/docs/lite/api/source_zh_cn/api_java/model.md
index 833d4d1fde5dab1d89f0f9d7cace2f8ee824d235..f9169d826838f05d165ab3b834ed823d5e63826a 100644
--- a/docs/lite/api/source_zh_cn/api_java/model.md
+++ b/docs/lite/api/source_zh_cn/api_java/model.md
@@ -12,17 +12,17 @@ Model定义了MindSpore中编译和运行的模型。
 
 | function                                                     | 云侧推理是否支持 | 端侧推理是否支持 |
 | ------------------------------------------------------------ |--------|--------|
-| [boolean build(MappedByteBuffer buffer, int modelType, MSContext context, char[] dec_key, String dec_mode)](#build)           | ✕      | √      |
+| [boolean build(final MappedByteBuffer buffer, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)](#build) | ✕      | √      |
 | [boolean build(Graph graph, MSContext context, TrainCfg cfg)](#build) | ✕      | √      |
 | [boolean build(MappedByteBuffer buffer, MSContext context)](#build)                            | √      | √      |
-| [boolean build(String modelPath, MSContext context, char[] dec_key, String dec_mode)](#build)  | ✕      | √      |
-| [boolean build(String modelPath, MSContext context)](#build)                                         | √      | √      |
+| [boolean build(String modelPath, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)](#build) | ✕      | √      |
+| [boolean build(String modelPath, int modelType, MSContext context)](#build) | √      | √      |
 | [boolean predict()](#predict)                                         | √      | √      |
 | [boolean runStep()](#runstep)                                         | ✕      | √      |
 | [boolean resize(List<MSTensor\> inputs, int[][] dims)](#resize)                                         | √      | √      |
 | [List<MSTensor\> getInputs()](#getinputs)                                         | √      | √      |
 | [List<MSTensor\> getOutputs()](#getoutputs)                                         | √      | √      |
-| [MSTensor getInputsByTensorName(String tensorName)](#getinputsbytensorname)                                         | √      | √      |
+| [MSTensor getInputByTensorName(String tensorName)](#getinputsbytensorname)                                         | √      | √      |
 | [MSTensor getOutputByTensorName(String tensorName)](#getoutputbytensorname)                                         | √      | √      |
 | [List<MSTensor\> getOutputsByNodeName(String nodeName)](#getoutputsbynodename)                                         | ✕      | √      |
 | [List<String\> getOutputTensorNames()](#getoutputtensornames)                                         | √      | √      |
@@ -56,7 +56,7 @@ public boolean build(Graph graph, MSContext context, TrainCfg cfg)
   是否编译成功。
 
 ```java
-public boolean build(MappedByteBuffer buffer, int modelType, MSContext context, char[] dec_key, String dec_mode)
+public boolean build(final MappedByteBuffer buffer, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)
 ```
 
 通过模型计算图内存块编译MindSpore模型。
@@ -66,8 +66,9 @@ public boolean build(MappedByteBuffer buffer, int modelType, MSContext context,
     - `buffer`: 模型计算图内存块。
     - `modelType`: 模型计算图类型，可选有`MT_MINDIR_LITE`、`MT_MINDIR`，分别对应`ms`模型（`converter_lite`工具导出）和`mindir`模型（MindSpore导出或`converter_lite`工具导出）。端侧推理只支持`ms`模型推理，该入参值被忽略。云端推理支持`ms`和`mindir`模型推理，需要将该参数设置为模型对应的选项值。云侧推理对`ms`模型的支持，将在未来的迭代中删除，推荐通过`mindir`模型进行云侧推理。
     - `context`: 运行时Context上下文。
-    - `dec_key`: 模型解密秘钥。
-    - `dec_mode`: 模型解密算法，可选AES-GCM、AES-CBC。
+    - `decKey`: 模型解密秘钥。
+    - `decMode`: 模型解密算法，可选AES-GCM、AES-CBC。
+    - `croptoLibPath`: openssl库路径。
 
 - 返回值
 
@@ -90,7 +91,7 @@ public boolean build(final MappedByteBuffer buffer, int modelType, MSContext con
   是否编译成功。
 
 ```java
-public boolean build(String modelPath, int modelType, MSContext context, char[] dec_key, String dec_mode)
+public boolean build(String modelPath, int modelType, MSContext context, char[] decKey, String decMode, String croptoLibPath)
 ```
 
 通过模型计算图文件编译MindSpore MindIR模型。
@@ -100,8 +101,9 @@ public boolean build(String modelPath, int modelType, MSContext context, char[]
     - `modelPath`: 模型计算图文件。
     - `modelType`: 模型计算图类型，可选有`MT_MINDIR_LITE`、`MT_MINDIR`，分别对应`ms`模型（`converter_lite`工具导出）和`mindir`模型（MindSpore导出或`converter_lite`工具导出）。端侧推理只支持`ms`模型推理，该入参值被忽略。云端推理支持`ms`和`mindir`模型推理，需要将该参数设置为模型对应的选项值。云侧推理对`ms`模型的支持，将在未来的迭代中删除，推荐通过`mindir`模型进行云侧推理。
     - `context`: 运行时Context上下文。
-    - `dec_key`: 模型解密秘钥。
-    - `dec_mode`: 模型解密算法，可选AES-GCM、AES-CBC。
+    - `decKey`: 模型解密秘钥。
+    - `decMode`: 模型解密算法，可选AES-GCM、AES-CBC。
+    - `croptoLibPath`: openssl库路径。
 
 - 返回值
 
@@ -188,10 +190,10 @@ public List<MSTensor> getOutputs()
 
   所有输出MSTensor组成的List。
 
-## getInputsByTensorName
+## getInputByTensorName
 
 ```java
-public MSTensor getInputsByTensorName(String tensorName)
+public MSTensor getInputByTensorName(String tensorName)
 ```
 
 通过张量名获取MindSpore模型的输入张量。
@@ -398,4 +400,5 @@ public static final int MT_AIR = 1;
 public static final int MT_OM = 2;
 public static final int MT_ONNX = 3;
 public static final int MT_MINDIR_LITE = 4;
+public static final int MT_MINDIR_OPT = MT_MINDIR_LITE;
 ```
diff --git a/docs/lite/api/source_zh_cn/api_java/mscontext.md b/docs/lite/api/source_zh_cn/api_java/mscontext.md
index b1d00999149140fa8338299ee15c9c4d277b8d04..459640adbad9a97fbe094d48ccede51cd7dd398b 100644
--- a/docs/lite/api/source_zh_cn/api_java/mscontext.md
+++ b/docs/lite/api/source_zh_cn/api_java/mscontext.md
@@ -78,7 +78,7 @@ public boolean init(int threadNum, int cpuBindMode, boolean isEnableParallel)
 ## addDeviceInfo
 
 ```java
-boolean addDeviceInfo(int deviceType, boolean isEnableFloat16)
+public boolean addDeviceInfo(int deviceType, boolean isEnableFloat16)
 ```
 
 添加运行设备信息。
@@ -93,7 +93,7 @@ boolean addDeviceInfo(int deviceType, boolean isEnableFloat16)
   设备添加是否成功。
 
 ```java
-boolean addDeviceInfo(int deviceType, boolean isEnableFloat16, int npuFreq)
+public boolean addDeviceInfo(int deviceType, boolean isEnableFloat16, int npuFreq)
 ```
 
 添加运行设备信息。
@@ -131,7 +131,7 @@ public void free()
 ## setThreadNum
 
 ```java
-void setThreadNum(int threadNum)
+public void setThreadNum(int threadNum)
 ```
 
 设置运行时的线程数量。
@@ -144,7 +144,7 @@ void setThreadNum(int threadNum)
 ## getThreadNum
 
 ```java
-int getThreadNum()
+public int getThreadNum()
 ```
 
 获取当MSContext的线程数量设置，该选项仅MindSpore Lite有效。
@@ -157,7 +157,7 @@ int getThreadNum()
 ## setInterOpParallelNum
 
 ```java
-void setInterOpParallelNum(int parallelNum)
+public void setInterOpParallelNum(int parallelNum)
 ```
 
 设置运行时的算子并行推理数目。
@@ -170,7 +170,7 @@ void setInterOpParallelNum(int parallelNum)
 ## getInterOpParallelNum
 
 ```java
-int getInterOpParallelNum()
+public int getInterOpParallelNum()
 ```
 
 获取当前算子并行数设置。
@@ -183,7 +183,7 @@ int getInterOpParallelNum()
 ## setThreadAffinity
 
 ```java
-void setThreadAffinity(int mode)
+public void setThreadAffinity(int mode)
 ```
 
 设置运行时的CPU绑核策略。
@@ -196,7 +196,7 @@ void setThreadAffinity(int mode)
 ## getThreadAffinityMode
 
 ```java
- int getThreadAffinityMode()
+public int getThreadAffinityMode()
 ```
 
 获取当前CPU绑核策略。
@@ -209,7 +209,7 @@ void setThreadAffinity(int mode)
 ## setThreadAffinity
 
 ```java
-void setThreadAffinity(ArrayList<Integer> coreList)
+public void setThreadAffinity(ArrayList<Integer> coreList)
 ```
 
 设置运行时的CPU绑核列表，如果同时调用了两个不同的`SetThreadAffinity`函数来设置同一个的MSContext，仅`coreList`生效，而`mode`不生效。该选项仅MindSpore Lite有效。
@@ -222,7 +222,7 @@ void setThreadAffinity(ArrayList<Integer> coreList)
 ## getThreadAffinityCoreList
 
 ```java
-ArrayList<Integer> getThreadAffinityCoreList()
+public ArrayList<Integer> getThreadAffinityCoreList()
 ```
 
 获取当前CPU绑核列表。
@@ -235,7 +235,7 @@ ArrayList<Integer> getThreadAffinityCoreList()
 ## setEnableParallel
 
 ```java
-void setEnableParallel(boolean isParallel)
+public void setEnableParallel(boolean isParallel)
 ```
 
 设置运行时是否使能异构并行。
@@ -248,7 +248,7 @@ void setEnableParallel(boolean isParallel)
 ## getEnableParallel
 
 ```java
-boolean getEnableParallel()
+public boolean getEnableParallel()
 ```
 
 获取当前是否使能异构并行。
@@ -272,6 +272,7 @@ import com.mindspore.config.DeviceType;
 public static final int DT_CPU = 0;
 public static final int DT_GPU = 1;
 public static final int DT_NPU = 2;
+public static final int DT_ASCEND = 3;
 ```
 
 DeviceType的值为0，指定设备类型为CPU。
@@ -280,6 +281,8 @@ DeviceType的值为1，指定设备类型为GPU。
 
 DeviceType的值为2，指定设备类型为NPU。
 
+DeviceType的值为3，指定设备类型为Ascend。
+
 ## CpuBindMode
 
 ```java
diff --git a/docs/lite/api/source_zh_cn/api_java/mstensor.md b/docs/lite/api/source_zh_cn/api_java/mstensor.md
index d29266a1026c6b3e4d3711a3621fc13de4e8fa32..1d620a044fb6a0c7b663a2add636c323a7d99bdd 100644
--- a/docs/lite/api/source_zh_cn/api_java/mstensor.md
+++ b/docs/lite/api/source_zh_cn/api_java/mstensor.md
@@ -20,11 +20,11 @@ MSTensor定义了MindSpore中的张量。
 | [float[] getFloatData()](#getfloatdata)  | √      | √      |
 | [int[] getIntData()](#getintdata)        | √      | √      |
 | [long[] getLongData()](#getlongdata)     | √      | √      |
-| [void setData(byte[] data)](#setdata)     | √      | √      |
-| [void setData(float[] data)](#setdata)     | √      | √      |
-| [void setData(int[] data)](#setdata)     | √      | √      |
-| [void setData(long[] data)](#setdata)     | √      | √      |
-| [void setData(ByteBuffer data)](#setdata) | √      | √      |
+| [boolean setData(byte[] data)](#setdata) | √      | √      |
+| [boolean setData(float[] data)](#setdata) | √      | √      |
+| [boolean setData(int[] data)](#setdata) | √      | √      |
+| [boolean setData(long[] data)](#setdata) | √      | √      |
+| [boolean setData(ByteBuffer data)](#setdata) | √      | √      |
 | [long size()](#size)                       | √      | √      |
 | [int elementsNum()](#elementsnum)         | √      | √      |
 | [void free()](#free)                       | √      | √      |
@@ -140,7 +140,7 @@ public long[] getLongData()
 ## setData
 
 ```java
-public void setData(byte[] data)
+public boolean setData(byte[] data)
 ```
 
 设定MSTensor的输入数据。
@@ -149,8 +149,12 @@ public void setData(byte[] data)
 
     - `data`: byte[]类型的输入数据。
 
+- 返回值
+
+    设置数据是否成功。
+
 ```java
-public void setData(float[] data)
+public boolean setData(float[] data)
 ```
 
 设定MSTensor的输入数据。
@@ -159,8 +163,12 @@ public void setData(float[] data)
 
     - `data`: float[]类型的输入数据。
 
+- 返回值
+
+    设置数据是否成功。
+
 ```java
-public void setData(int[] data)
+public boolean setData(int[] data)
 ```
 
 设定MSTensor的输入数据。
@@ -169,8 +177,12 @@ public void setData(int[] data)
 
     - `data`: int[]类型的输入数据。
 
+- 返回值
+
+    设置数据是否成功。
+
 ```java
-public void setData(long[] data)
+public boolean setData(long[] data)
 ```
 
 设定MSTensor的输入数据。
@@ -179,8 +191,12 @@ public void setData(long[] data)
 
     - `data`: long[]类型的输入数据。
 
+- 返回值
+
+    设置数据是否成功。
+
 ```java
-public void setData(ByteBuffer data)
+public boolean setData(ByteBuffer data)
 ```
 
 设定MSTensor的输入数据。
@@ -189,6 +205,10 @@ public void setData(ByteBuffer data)
 
     - `data`: ByteBuffer类型的输入数据。
 
+- 返回值
+
+    设置数据是否成功。
+
 ## size
 
 ```java
diff --git a/docs/lite/api/source_zh_cn/api_java/runner_config.md b/docs/lite/api/source_zh_cn/api_java/runner_config.md
index 3eacf0cd342d3bc7aa6627c0737f2191c6bd7d19..4eb6cb948f6f3f1882d6307f2538a0d0f8a2eeb9 100644
--- a/docs/lite/api/source_zh_cn/api_java/runner_config.md
+++ b/docs/lite/api/source_zh_cn/api_java/runner_config.md
@@ -10,9 +10,9 @@ RunnerConfig定义了MindSpore Lite并发推理的配置参数。
 | ------------------------------------------------------------   |--------|--------|
 | [boolean init()](#init)                            | √      | ✕      |
 | [public boolean init(MSContext msContext)](#init)  | √      | ✕      |
-| [public void setWorkerNum(int workerNum)](#setworkernum)                           | √      | ✕      |
+| [public void setWorkersNum(int workersNum)](#setworkersnum)                        | √      | ✕      |
 | [public void setConfigInfo(String section, HashMap<String, String> config)](#setconfiginfo)               | √      | ✕      |
-| [public void setConfigPath(String configPath)](#setconfigpath)                         | √      | ✕      |
+| [public void setConfigPath(String config_path)](#setconfigpath)                       | √      | ✕      |
 | [void getConfigPath()](#getconfigpath)                         | √      | ✕      |
 | [long getRunnerConfigPtr()](#getrunnerconfigptr)               | √      | ✕      |
 | [public void setDeviceIds(ArrayList<Integer\> deviceIds)](#setdeviceids)               | √      | ✕      |
@@ -45,17 +45,17 @@ public boolean init(MSContext msContext)
 
   是否初始化成功。
 
-## setWorkerNum
+## setWorkersNum
 
 ```java
-public void setWorkerNum(int workerNum)
+public void setWorkersNum(int workersNum)
 ```
 
 并发推理中模型个数参数设置。
 
 - 参数
 
-    - `workerNum`: 模型个数。
+    - `workersNum`: 模型个数。
 
 ## setConfigInfo
 
@@ -73,14 +73,14 @@ public void setConfigInfo(String section, HashMap<String, String> config)
 ## setConfigPath
 
 ```java
-public void setConfigPath(String configPath)
+public void setConfigPath(String config_path)
 ```
 
 并发推理中模型配置文件路径参数设置。
 
 - 参数
 
-    - `configPath`: 配置文件路径。
+    - `config_path`: 配置文件路径。
 
 ## getConfigPath