提交 63ca4715 编写于 作者: F fangzhou12

doc ide check bugfix

Signed-off-by: Nfangzhou12 <fangzhou12@huawei.com>
上级 7d944dd9
......@@ -482,10 +482,11 @@ resize(inputs: MSTensor[], dims: Array&lt;Array&lt;number&gt;&gt;): boolean
```js
let model_file = '/path/to/xxx.ms';
let mindSporeLiteModel = await mindSporeLite.loadModelFromFile(model_file);
const modelInputs = mindSporeLiteModel.getInputs();
let new_dim = new Array([1,32,32,1]);
mindSporeLiteModel.resize(modelInputs, new_dim);
mindSporeLite.loadModelFromFile(model_file).then((mindSporeLiteModel) => {
const modelInputs = mindSporeLiteModel.getInputs();
let new_dim = new Array([1,32,32,1]);
mindSporeLiteModel.resize(modelInputs, new_dim);
})
```
## MSTensor
......@@ -511,14 +512,15 @@ mindSporeLiteModel.resize(modelInputs, new_dim);
```js
let model_file = '/path/to/xxx.ms';
let mindSporeLiteModel = await mindSporeLite.loadModelFromFile(model_file);
const modelInputs = mindSporeLiteModel.getInputs();
console.log(modelInputs[0].name);
console.log(modelInputs[0].shape.toString());
console.log(modelInputs[0].elementNum.toString());
console.log(modelInputs[0].dtype.toString());
console.log(modelInputs[0].format.toString());
console.log(modelInputs[0].dataSize.toString());
mindSporeLite.loadModelFromFile(model_file).then((mindSporeLiteModel) => {
const modelInputs = mindSporeLiteModel.getInputs();
console.log(modelInputs[0].name);
console.log(modelInputs[0].shape.toString());
console.log(modelInputs[0].elementNum.toString());
console.log(modelInputs[0].dtype.toString());
console.log(modelInputs[0].format.toString());
console.log(modelInputs[0].dataSize.toString());
})
```
### getData
......@@ -538,12 +540,21 @@ getData(): ArrayBuffer
**示例:**
```js
//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++) {
console.log(output[i].toString());
}
import resourceManager from '@ohos.resourceManager'
@State inputName: string = 'input_data.bin';
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);
const modelInputs = mindSporeLiteModel.getInputs();
modelInputs[0].setData(this.inputBuffer.buffer);
result.predict(modelInputs).then((result) => {
let output = new Float32Array(result[0].getData());
for (let i = 0; i < output.length; i++) {
console.log(output[i].toString());
}
})
})
```
......
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