jsapi doc bugfix

Signed-off-by: Nfangzhou12 <fangzhou12@huawei.com>

zh-cn/application-dev/ai/mindspore-lite-js-guidelines.md

@@ -50,21 +50,23 @@ build() {
       .fontWeight(FontWeight.Bold)
       .onClick(async () => {
          //1.模型准备
-         let context = globalThis.context;
-         context.resourceManager.getRawFileContent(this.inputName).then((error,buffer) => {
+         let syscontext = globalThis.context;
+         syscontext.resourceManager.getRawFileContent(this.inputName).then((buffer) => {
            this.inputBuffer = buffer;
            console.log('=========input bin byte length: ' + this.inputBuffer.byteLength)
-         }).catch(error) {
+         }).catch(error => {
            console.error('Failed to get buffer, error code: ${error.code},message:${error.message}.');
-         }
+         })
          //2.创建上下文
-         let options = {'target': ['cpu']}
-         options.cpu.threadNum = 1;
-         options.cpu.threadAffinityMode = 0;
-         options.cpu.precisionMode = 'enforce_fp32';
+         let context: mindSporeLite.Context = {};
+         context.target = ['cpu'];
+         context.cpu = {}
+         context.cpu.threadNum = 1;
+         context.cpu.threadAffinityMode = 0;
+         context.cpu.precisionMode = 'enforce_fp32';
          //3.加载模型
          let modelFile = '/data/storage/el2/base/haps/entry/files/mnet.caffemodel.ms';
-         let msLiteModel = await mindSporeLite.loadModelFromFile(modelFile);
+         let msLiteModel = await mindSporeLite.loadModelFromFile(modelFile, context);
          //4.加载数据
          const modelInputs = msLiteModel.getInputs();
          modelInputs[0].setData(this.inputBuffer.buffer);

zh-cn/application-dev/reference/apis/js-apis-mindSporeLite.md

@@ -31,7 +31,7 @@ import mindSporeLite from '@ohos.ai.mindSporeLite';
 **示例：** 
 
 ```js
-let context = {} as any;
+let context: mindSporeLite.Context = {};
 context.target = ['cpu','nnrt'];
 ```
 
@@ -55,7 +55,8 @@ CPU后端设备选项。
 **示例：** 
 
 ```js
-let context = {} as any;
+let context: mindSporeLite.Context = {};
+context.cpu = {};
 context.target = ['cpu'];
 context.cpu.threadAffinityMode = 0;
 context.cpu.precisionMode = 'preferred_fp16';
@@ -123,9 +124,8 @@ loadModelFromFile(model: string, context: Context, callback: Callback<Model&g
 **示例：** 
 
 ```js
-let context = {
-  'target': ['cpu']
-};
+let context: mindSporeLite.Context = {};
+let context = {'target': ['cpu']};
 let model_file = '/path/to/xxx.ms';
 mindSporeLite.loadModelFromFile(model_file, context, (result) => {
   const modelInputs = result.getInputs();
@@ -136,7 +136,7 @@ mindSporeLite.loadModelFromFile(model_file, context, (result) => {
 
 loadModelFromFile(model: string, context?: Context): Promise<Model>
 
-从完整路径加载输入模型用于推理。使用Promise异步回调。
+从完整路径加载输入模型用于推理。使用Promise异步函数。
 
 **系统能力：** SystemCapability.AI.MindSporeLite
 
@@ -182,11 +182,12 @@ loadModelFromBuffer(model: ArrayBuffer, callback: Callback<Model>): void
 ```js
 import resourceManager from '@ohos.resourceManager'
 @State modelName: string = 'xxx.ms';
-context.resourceManager.getRawFileContent(this.modelName).then((error,buffer) => {
+let syscontext = globalThis.context;
+syscontext.resourceManager.getRawFileContent(this.modelName).then((buffer) => {
   this.modelBuffer = buffer;
-}).catch(error) {
+}).catch(error => {
   console.error('Failed to get buffer, error code: ${error.code},message:${error.message}.');
-}
+})
 mindSporeLite.loadModelFromBuffer(this.modelBuffer.buffer, (result) => {
   const modelInputs = result.getInputs();
   console.log(modelInputs[0].name);
@@ -213,12 +214,14 @@ loadModelFromBuffer(model: ArrayBuffer, context: Context, callback: Callback<
 ```js
 import resourceManager from '@ohos.resourceManager'
 @State modelName: string = 'xxx.ms';
-context.resourceManager.getRawFileContent(this.modelName).then((error,buffer) => {
+let syscontext = globalThis.context;
+syscontext.resourceManager.getRawFileContent(this.modelName).then((error,buffer) => {
   this.modelBuffer = buffer;
-}).catch(error) {
+}).catch(error => {
   console.error('Failed to get buffer, error code: ${error.code},message:${error.message}.');
-}
-let context = {'target': ['cpu']};
+})
+let context: mindSporeLite.Context = {};
+context = {'target': ['cpu']};
 mindSporeLite.loadModelFromBuffer(this.modelBuffer.buffer, context, (result) => {
   const modelInputs = result.getInputs();
   console.log(modelInputs[0].name);
@@ -228,7 +231,7 @@ mindSporeLite.loadModelFromBuffer(this.modelBuffer.buffer, context, (result) =>
 
 loadModelFromBuffer(model: ArrayBuffer, context?: Context): Promise<Model>
 
-从内存加载输入模型用于推理。使用Promise异步回调。
+从内存加载输入模型用于推理。使用Promise异步函数。
 
 **系统能力：** SystemCapability.AI.MindSporeLite
 
@@ -250,11 +253,12 @@ loadModelFromBuffer(model: ArrayBuffer, context?: Context): Promise<Model>
 ```js
 import resourceManager from '@ohos.resourceManager'
 @State modelName: string = 'xxx.ms';
-context.resourceManager.getRawFileContent(this.modelName).then((error,buffer) => {
+let syscontext = globalThis.context;
+syscontext.resourceManager.getRawFileContent(this.modelName).then((buffer) => {
   this.modelBuffer = buffer;
-}).catch(error) {
+}).catch(error => {
   console.error('Failed to get buffer, error code: ${error.code},message:${error.message}.');
-}
+})
 mindSporeLite.loadModelFromBuffer(model_file).then((result) => {
   const modelInputs = result.getInputs();
   console.log(modelInputs[0].name);
@@ -280,11 +284,10 @@ loadModelFromFd(model: number, callback: Callback<Model>): void
 ```js
 import fs from '@ohos.file.fs';
 let model_file = '/path/to/xxx.ms';
-fs.open(model_file, 0, async function(err, file) {
-  mindSporeLite.loadModelFromFd(file.fd, (result) => {
-  	const modelInputs = result.getInputs();
-  	console.log(modelInputs[0].name);
-  })
+let file = await fs.open(model_file, 0);
+mindSporeLite.loadModelFromFd(file.fd, (result) => {
+  const modelInputs = result.getInputs();
+  console.log(modelInputs[0].name);
 })
 ```
 ## mindSporeLite.loadModelFromFd
@@ -308,19 +311,19 @@ loadModelFromFd(model: number, context: Context, callback: Callback<Model>
 ```js
 import fs from '@ohos.file.fs';
 let model_file = '/path/to/xxx.ms';
-let context = {'target': ['cpu']};
-fs.open(model_file, 0, async function(err, file) {
-  mindSporeLite.loadModelFromFd(file.fd, context, (result) => {
-    const modelInputs = result.getInputs();
-    console.log(modelInputs[0].name);
-  })
+let context : mindSporeLite.Context = {};
+context = {'target': ['cpu']};
+let file = await fs.open(model_file, 0);
+mindSporeLite.loadModelFromFd(file.fd, context, (result) => {
+  const modelInputs = result.getInputs();
+  console.log(modelInputs[0].name);
 })
 ```
 ## mindSporeLite.loadModelFromFd
 
 loadModelFromFd(model: number, context?: Context): Promise< Model>
 
-从文件描述符加载输入模型用于推理。使用Promise异步回调。
+从文件描述符加载输入模型用于推理。使用Promise异步函数。
 
 **系统能力：** SystemCapability.AI.MindSporeLite
 
@@ -342,12 +345,11 @@ loadModelFromFd(model: number, context?: Context): Promise< Model>
 ```js
 import fs from '@ohos.file.fs';
 let model_file = '/path/to/xxx.ms';
-fs.open(model_file, 0, async function(err, file) {
-  let mindSporeLiteModel = await mindSporeLite.loadModelFromFd(file.fd);
-  mindSporeLite.loadModelFromFd(file.fd).then((result) => {
-    const modelInputs = result.getInputs();
-    console.log(modelInputs[0].name);
-  })
+let file = await fs.open(model_file, 0);
+let mindSporeLiteModel = await mindSporeLite.loadModelFromFd(file.fd);
+mindSporeLite.loadModelFromFd(file.fd).then((result) => {
+  const modelInputs = result.getInputs();
+  console.log(modelInputs[0].name);
 })
 ```
 ## Model
@@ -399,7 +401,8 @@ predict(inputs: MSTensor[], callback: Callback<Model>): void
 ```js
 import resourceManager from '@ohos.resourceManager'
 @State inputName: string = 'input_data.bin';
-context.resourceManager.getRawFileContent(this.inputName).then((error,buffer) => {
+let syscontext = globalThis.context;
+syscontext.resourceManager.getRawFileContent(this.inputName).then((buffer) => {
   this.inputBuffer = buffer;
   let model_file = '/path/to/xxx.ms';
   let mindSporeLiteModel = await mindSporeLite.loadModelFromFile(model_file);
@@ -417,7 +420,7 @@ context.resourceManager.getRawFileContent(this.inputName).then((error,buffer) =>
 
 predict(inputs: MSTensor[]): Promise<MSTensor[]>
 
-执行推理模型。使用Promise异步回调。
+执行推理模型。使用Promise异步函数。
 
 **系统能力：**  SystemCapability.AI.MindSporeLite
 
@@ -438,7 +441,8 @@ predict(inputs: MSTensor[]): Promise<MSTensor[]>
 ```js
 import resourceManager from '@ohos.resourceManager'
 @State inputName: string = 'input_data.bin';
-context.resourceManager.getRawFileContent(this.inputName).then((error,buffer) => {
+let syscontext = globalThis.context;
+syscontext.resourceManager.getRawFileContent(this.inputName).then((buffer) => {
   this.inputBuffer = buffer;
   let model_file = '/path/to/xxx.ms';
   let mindSporeLiteModel = await mindSporeLite.loadModelFromFile(model_file);
@@ -534,7 +538,7 @@ getData(): ArrayBuffer
 **示例：** 
 
 ```js
-//如果已经获取了输出张量
+//如果已经获取了输入张量
 result.predict(modelInputs, (result) => {
   let output = new Float32Array(result[0].getData());
   for (let i = 0; i < output.length; i++) {
@@ -562,7 +566,8 @@ setData(inputArray: ArrayBuffer): void
 ```js
 import resourceManager from '@ohos.resourceManager'
 @State inputName: string = 'input_data.bin';
-context.resourceManager.getRawFileContent(this.inputName).then((error,buffer) => {
+let syscontext = globalThis.context;
+syscontext.resourceManager.getRawFileContent(this.inputName).then((buffer) => {
   this.inputBuffer = buffer;
 })
 let model_file = '/path/to/xxx.ms';