swift coreML:没有“options”参数的预测函数

问题描述 投票:0回答:2

在快速的documentation中,MLModel有两个预测函数

  1. func prediction(来自:MLFeatureProvider) - > MLFeatureProvider。根据给定的输入要素值预测输出要素值。
  2. func prediction(来自:MLFeatureProvider,options:MLPredictionOptions) - > MLFeatureProvider。根据给定的输入要素值预测输出要素值。

但是,在我自动生成的MLModel类中,未生成带有options参数的函数。以下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_)
}

注意:顺便说一句,我想找到带有“options”参数的预测函数的原因是这个错误信息:

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

我找到了一个solution,它在预测函数中添加了forceCPU Flag。该选项可以在MLPredictionOptions中找到,名为“usesCPUOnly”。但是,我找不到放置选项的地方。

swift lstm coreml
2个回答
0
投票

一种方法是在自动生成的类的extension中添加自己的预测方法(在不同的源文件中)。


0
投票

谢谢@Matthijs Hollemans。我找到了解决方案。只需编写我自己的扩展并覆盖预测函数,就像这样。

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
}
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