diff --git a/docs/lite/docs/source_en/mindir/runtime_python.md b/docs/lite/docs/source_en/mindir/runtime_python.md
index afc100e52e4c533b74bacf94a3598253c60c968c..6432b1344238d15905cc3bcce2b10b9165836d9c 100644
--- a/docs/lite/docs/source_en/mindir/runtime_python.md
+++ b/docs/lite/docs/source_en/mindir/runtime_python.md
@@ -169,13 +169,31 @@ MindSpore Lite inference supports dynamic weight updates on the Ascend backend.
### Creating Config File
-Write all tensor names corresponding to the Matmul operators that need to be updated into a text file, with each tensor name occupying one line. Build a model to load the configuration file, set the configuration file, and the content of the configuration file `config.ini` is as follows:
+Write the weight names, weight shapes, and operator names corresponding to the operators that need to be updated into a text file. Build a model to load the configuration file, set the configuration file, and the content of the configuration file `config.ini` is as follows:
```text
[ascend_context]
variable_weights_file="update_weight_name_list.txt"
```
+The content format of update_weight_name_list.txt is as follows:
+
+```text
+weight_name:weight_shape;node_name
+weight_name1:weight_shape1;node_name1
+weight_name2:weight_shape2;node_name2
+......
+```
+
+For example:
+
+```text
+matmul.weight:512,512;/Matmul
+matmul2.weight:512,512;/Matmul2
+matmul3.weight:512,512;/Matmul3
+......
+```
+
### Model Loading and Compilation
```python
diff --git a/docs/lite/docs/source_en/reference/operator_list_lite.md b/docs/lite/docs/source_en/reference/operator_list_lite.md
index d0a0a1af0720ffa29f3495e2dd206e6e620fa916..cb2b943d5a4bcd51b2042979c143fb586666a963 100644
--- a/docs/lite/docs/source_en/reference/operator_list_lite.md
+++ b/docs/lite/docs/source_en/reference/operator_list_lite.md
@@ -108,7 +108,7 @@
| MaximumGrad | Calculate the gradient of the maximum value function | FP16
FP32 | - | - | |
| MaxPoolFusion | Maximum pooling | FP16
FP32
Int8
UInt8 | FP16 | FP16
FP32 | FP16 |
| MaxPoolGrad | Compute the gradients for the max-pooling layer | FP16
FP32 | - | - | |
-| Merge | Create a new tensor with the exact same shape as the input tensor X, but with all element values set to 1. | FP16
FP32 | - | - | |
+| Merge | Retrieve and output the first available tensor from a set of input tensors. | FP16
FP32 | - | - | |
| Minimum | Find the minimum value at the element level | FP16
FP32
Int32 | FP16 | FP16
FP32 | FP16 |
| MinimumGrad | Compute the gradient of the minimum value function | FP16
FP32 | - | - | |
| Mod | Return the remainder of the division operation | FP32
Int32 | - | - | FP16 |
diff --git a/docs/lite/docs/source_zh_cn/mindir/runtime_python.md b/docs/lite/docs/source_zh_cn/mindir/runtime_python.md
index 52f660d48fe1a16510312ddd4a707e11cc202061..0cd116ec2a0ade60d4116f0c78d8e04f1a844086 100644
--- a/docs/lite/docs/source_zh_cn/mindir/runtime_python.md
+++ b/docs/lite/docs/source_zh_cn/mindir/runtime_python.md
@@ -169,13 +169,31 @@ MindSpore Lite推理,在Ascend后端上支持动态权重更新,使用步骤
### 创建配置文件
-将需要更新的Matmul算子所对应的Tensor名称全部写入一个文本文件中,每个Tensor名字占一行。构建模型加载配置文件,配置文件设置,配置文件`config.ini`内容如下所示:
+将需要更新的算子所对应的权重名称、权重形状、算子名称全部写入一个文本文档。构建模型加载配置文件,配置文件设置,配置文件`config.ini`内容如下所示:
```text
[ascend_context]
variable_weights_file="update_weight_name_list.txt"
```
+update_weight_name_list.txt内容格式如下:
+
+```text
+weight_name:weight_shape;node_name
+weight_name1:weight_shape1;node_name1
+weight_name2:weight_shape2;node_name2
+......
+```
+
+比如:
+
+```text
+matmul.weight:512,512;/Matmul
+matmul2.weight:512,512;/Matmul2
+matmul3.weight:512,512;/Matmul3
+......
+```
+
### 模型加载
```python
diff --git a/docs/lite/docs/source_zh_cn/reference/operator_list_lite.md b/docs/lite/docs/source_zh_cn/reference/operator_list_lite.md
index 135dca111776b7196d23fbe5c968d13cb1a93167..2cf75f51254e26be8c93c7602830e99ec1739aaf 100644
--- a/docs/lite/docs/source_zh_cn/reference/operator_list_lite.md
+++ b/docs/lite/docs/source_zh_cn/reference/operator_list_lite.md
@@ -108,7 +108,7 @@
| MaximumGrad | 计算最大值函数的梯度 | FP16
FP32 | - | - | |
| MaxPoolFusion | 最大池化 | FP16
FP32
Int8
UInt8 | FP16 | FP16
FP32 | FP16 |
| MaxPoolGrad | 计算最大池化层的梯度 | FP16
FP32 | - | - | |
-| Merge | 创建一个与输入张量X形状完全相同但所有元素值均为1的新张量 | FP16
FP32 | - | - | |
+| Merge | 从一组输入张量中获取第一个可用的张量并输出 | FP16
FP32 | - | - | |
| Minimum | 取元素级最小值 | FP16
FP32
Int32 | FP16 | FP16
FP32 | FP16 |
| MinimumGrad | 计算最小值函数的梯度 | FP16
FP32 | - | - | |
| Mod | 返回除法元素的余数 | FP32
Int32 | - | - | FP16 |