Android中调用tflite模型时出现的问题

try {
    File modelFile = new File(getFilesDir(), "model.tflite");
    Interpreter tflite = new Interpreter(loadModelFile(modelFile));
} catch (Exception e) {
    e.printStackTrace();
}

private MappedByteBuffer loadModelFile(File file) throws IOException {
    FileInputStream fileInputStream = new FileInputStream(file);
    FileChannel fileChannel = fileInputStream.getChannel();
    long startOffset = 0L;
    long declaredLength = fileChannel.size();
    return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
}

Interpreter.Options options = new Interpreter.Options();
options.setNumThreads(4); // 设置线程数
options.setUseNNAPI(true); // 使用Android Neural Networks API
Interpreter tflite = new Interpreter(loadModelFile(modelFile), options);

float[][] input = new float[1][224][224][3]; // 示例输入数据
float[][] output = new float[1][1000]; // 示例输出数据
tflite.run(input, output);

options.setUseNNAPI(true); // 启用Android Neural Networks API

tflite_convert --output_file=model.tflite --graph_def_file=model.pb