swift coreML：不带“的预测函数；选项“；参数

在swift中，MLM模型具有两个预测功能

func预测（来自：MLFeatureProvider）->MLFeatureProvider。根据给定的输入特征值预测输出特征值

func预测（来自：MLFeatureProvider，选项：MLPredictionOptions）->MLFeatureProvider。根据给定的输入特征值预测输出特征值

但是，在我的自动生成的MLModel类中，没有生成带有options参数的函数。下面的代码是我自动生成的预测函数

func prediction(input: coreML_1denses_80iters_k213_2Input) throws -> coreML_1denses_80iters_k213_2Output {
    let outFeatures = try model.prediction(from: input)
    let result = coreML_1denses_80iters_k213_2Output(output1: outFeatures.featureValue(for: "output1")!.multiArrayValue!, lstm_1_h_out: outFeatures.featureValue(for: "lstm_1_h_out")!.multiArrayValue!, lstm_1_c_out: outFeatures.featureValue(for: "lstm_1_c_out")!.multiArrayValue!)
    return result
}

func prediction(input1: MLMultiArray, input2: MLMultiArray, lstm_1_h_in: MLMultiArray?, lstm_1_c_in: MLMultiArray?) throws -> coreML_1denses_80iters_k213_2Output {
    let input_ = coreML_1denses_80iters_k213_2Input(input1: input1, input2: input2, lstm_1_h_in: lstm_1_h_in, lstm_1_c_in: lstm_1_c_in)
    return try self.prediction(input: input_)
}

注: 顺便说一句，我想找到带有“options”参数的预测函数的原因是以下错误消息：

[coreml] Cannot evaluate a sequence of length 600, which is longer than maximum of 400.

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我发现了一个，它在预测函数中添加了一个forceCPU标志。该选项可在名为“usesCPUOnly”的中找到。但是，我找不到放置选项的位置。

一种方法是在自动生成类的

扩展名中添加您自己的预测方法（在不同的源文件中）。
谢谢@Matthijs Hollemans。我找到了解决办法。只需编写我自己的扩展并像这样重写预测函数

func prediction(input: model_1denses_50iters_k213Input) throws -> model_1denses_50iters_k213Output {
    let options = MLPredictionOptions()
    options.usesCPUOnly = true
    let outFeatures = try model.prediction(from: input, options:options)
    let result = model_1denses_50iters_k213Output(output1: outFeatures.featureValue(for: "output1")!.multiArrayValue!, lstm_85_h_out: outFeatures.featureValue(for: "lstm_85_h_out")!.multiArrayValue!, lstm_85_c_out: outFeatures.featureValue(for: "lstm_85_c_out")!.multiArrayValue!)
    return result
}