HarmonyOS 鸿蒙Next mindspore lite转换模型失败 Convert failed. Ret: Common error code

更新：先把yolov8n.pt转成mindir格式，再把mindir转成ms格式；but，端侧推理时出来的score很小，没有超过0.01的。。同一张图片在PC上使用yolo官方模型推理结果有4个目标的score超过0.8，这咋弄，推理引擎我也看不到它是咋计算的呀…… 附上我转换的模型和推理代码：

import { mindSporeLite } from '@kit.MindSporeLiteKit'
import Logger from '../common/utils/Logger';
// 封装工具类
export default async function modelPredict(
  modelBuffer: ArrayBuffer, inputsBuffer: ArrayBuffer[]): Promise<mindSporeLite.MSTensor[]> {
let context: mindSporeLite.Context = {};
context.target = [‘cpu’];
context.cpu = {}
context.cpu.threadNum = 2;
context.cpu.threadAffinityMode = 1;
context.cpu.precisionMode = ‘enforce_fp32’;
let msLiteModel: mindSporeLite.Model = await mindSporeLite.loadModelFromBuffer(modelBuffer, context);
let modelInputs: mindSporeLite.MSTensor[] = msLiteModel.getInputs();
for (let i = 0; i < inputsBuffer.length; i++) {
let inputBuffer = inputsBuffer[i];
if (inputBuffer != null) {
modelInputs[i].setData(inputBuffer as ArrayBuffer);
}
}
Logger.info(’=========MS_LITE_LOG: MS_LITE predict start=====’);
let modelOutputs: mindSporeLite.MSTensor[] = await msLiteModel.predict(modelInputs);
return modelOutputs;
}
// 以下是主要推理代码
const startTime = new Date().getTime()
// predict
modelPredict(modelBuffer.buffer.slice(0), inputs).then(outputs => {
Logger.info(’=========MS_LITE_LOG: MS_LITE predict success=====’);
for (let i = 0; i < outputs.length; i++) {
let out = new Float32Array(outputs[i].getData());
const x_factor: number = info.size.width / 640;
const y_factor: number = info.size.height / 640;
// 矩阵转置 np.transpose(np.squeeze(out))
let row: number[][] = new Array(84)
for (let i = 0; i < 8400; i++) {
let temp: number[] = []
for (let j = 0; j < 84; j++) {
temp[j] = out[i + j * 8400]
}
row[i] = temp;
}
              <span class="hljs-keyword">this</span>.maxArray = [];
              <span class="hljs-keyword">this</span>.maxIndexArray = [];
              <span class="hljs-keyword">this</span>.bboxes = [];
              <span class="hljs-keyword">let</span> maxScore: number = <span class="hljs-number">0</span>
              <span class="hljs-keyword">for</span> (<span class="hljs-keyword">let</span> i = <span class="hljs-number">0</span>; i &lt; <span class="hljs-number">8400</span>; i++) {
                <span class="hljs-keyword">const</span> classes_scores = row[i].slice(<span class="hljs-number">4</span>);
                <span class="hljs-keyword">const</span> max_score: number = <span class="hljs-built_in">Math</span>.max(...classes_scores)
                maxScore = max_score &gt; maxScore ? max_score : maxScore
                <span class="hljs-keyword">if</span> (max_score &gt; <span class="hljs-keyword">this</span>.confidence_thres) {
                  <span class="hljs-keyword">const</span> x: number = row[i][<span class="hljs-number">0</span>];
                  <span class="hljs-keyword">const</span> y: number = row[i][<span class="hljs-number">1</span>];
                  <span class="hljs-keyword">const</span> w: number = row[i][<span class="hljs-number">2</span>];
                  <span class="hljs-keyword">const</span> h: number = row[i][<span class="hljs-number">3</span>];
                  <span class="hljs-keyword">const</span> left: number = ~~((x - w / <span class="hljs-number">2</span>) * x_factor)
                  <span class="hljs-keyword">const</span> top: number = ~~((y - h / <span class="hljs-number">2</span>) * y_factor)
                  <span class="hljs-keyword">const</span> width: number = ~~(w * x_factor)
                  <span class="hljs-keyword">const</span> height: number = ~~(h * y_factor)

                  <span class="hljs-keyword">const</span> class_id = classes_scores.findIndex(vo =&gt; vo === max_score)
                  <span class="hljs-keyword">this</span>.maxIndexArray.push(class_id)
                  <span class="hljs-keyword">this</span>.maxArray.push(max_score)
                  <span class="hljs-keyword">this</span>.bboxes.push([left, top, width, height])
                }
              }

              Logger.info(<span class="hljs-string">'MAX_LOG: '</span> + maxScore);
            }
            <span class="hljs-keyword">this</span>.cost = <span class="hljs-keyword">new</span> <span class="hljs-built_in">Date</span>().getTime() - startTime
            Logger.info(<span class="hljs-string">'=========MS_LITE_LOG END========='</span>);
          })</code></pre></div></div>