获取ML网络模型压缩文件流时Blazor中的错误

Question

我对布兹尔有意见。我试着按照文档中所说的从远程源加载现有模型。(https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/save-load-machine-learning-models-ml-net)

这就是我想出来的：

@page "/analyzer"
@inject HttpClient _client
<h1>Analyzer</h1>

<input class="form-control" @bind:event="oninput" @bind="InputText"/>

@if (InputText != null)
{
    <h1>@InputText</h1>
}

@code {
    private string _inputText, mlPrediction;
    DataViewSchema modelSchema;
    MLContext mlContext = new MLContext();
    public string InputText
    {
        get
        {
            return _inputText;
        }
        set
        {
            _inputText = value;
            GetPrediction();
        }
    }
    private PredictionEngine<ModelInput, ModelOutput> _predictionEngine;
    protected override async Task OnInitializedAsync()
    {
        Stream modelFile = await _client.GetStreamAsync("<MODEL.ZIP ENDPOINT>");
        ITransformer trainedModel = mlContext.Model.Load(modelFile, out modelSchema);
        _predictionEngine = mlContext.Model.CreatePredictionEngine<ModelInput, ModelOutput>(trainedModel);
    }
    private void GetPrediction()
    {
        ModelInput mlInput = new ModelInput();
        mlInput.Sentiment = InputText;
        ModelOutput mlOutput = _predictionEngine.Predict(mlInput);
        mlPrediction = mlOutput.Prediction;
    }
}

当我初始化页面时，出现了一个错误，我唯一理解的是第32行中有一个错误，

_predictionEngine = mlContext.Model.CreatePredictionEngine<ModelInput, ModelOutput>(trainedModel);

我找不到有同样问题的人。以下是错误代码：

Microsoft.AspNetCore.Components.WebAssembly.Rendering.WebAssemblyRenderer[100]
      Unhandled exception rendering component: Exception has been thrown by the target of an invocation.
System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.IO.FileNotFoundException: Could not load the file 'Microsoft.ML.Transforms, Version=1.0.0.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51'.
  at (wrapper managed-to-native) System.Reflection.RuntimeMethodInfo.InternalInvoke(System.Reflection.RuntimeMethodInfo,object,object[],System.Exception&)
  at System.Reflection.RuntimeMethodInfo.Invoke (System.Object obj, System.Reflection.BindingFlags invokeAttr, System.Reflection.Binder binder, System.Object[] parameters, System.Globalization.CultureInfo culture) <0x296c470 + 0x000ce> in <filename unknown>:0 
   --- End of inner exception stack trace ---
  at (wrapper managed-to-native) System.Reflection.RuntimeMethodInfo.InternalInvoke(System.Reflection.RuntimeMethodInfo,object,object[],System.Exception&)
  at System.Reflection.RuntimeMethodInfo.Invoke (System.Object obj, System.Reflection.BindingFlags invokeAttr, System.Reflection.Binder binder, System.Object[] parameters, System.Globalization.CultureInfo culture) <0x296c470 + 0x000ce> in <filename unknown>:0 
   --- End of inner exception stack trace ---
  at (wrapper managed-to-native) System.Reflection.RuntimeMethodInfo.InternalInvoke(System.Reflection.RuntimeMethodInfo,object,object[],System.Exception&)
  at System.Reflection.RuntimeMethodInfo.Invoke (System.Object obj, System.Reflection.BindingFlags invokeAttr, System.Reflection.Binder binder, System.Object[] parameters, System.Globalization.CultureInfo culture) <0x296c470 + 0x000ce> in <filename unknown>:0 
   --- End of inner exception stack trace ---
  at System.Reflection.RuntimeMethodInfo.Invoke (System.Object obj, System.Reflection.BindingFlags invokeAttr, System.Reflection.Binder binder, System.Object[] parameters, System.Globalization.CultureInfo culture) <0x296c470 + 0x000f6> in <filename unknown>:0 
  at System.Reflection.MethodBase.Invoke (System.Object obj, System.Object[] parameters) <0x296bd98 + 0x00014> in <filename unknown>:0 
  at Microsoft.ML.Runtime.ComponentCatalog+LoadableClassInfo.CreateInstanceCore (System.Object[] ctorArgs) <0x545e428 + 0x000dc> in <filename unknown>:0 
  at Microsoft.ML.Runtime.ComponentCatalog+LoadableClassInfo.CreateInstance (Microsoft.ML.Runtime.IHostEnvironment env, System.Object args, System.Object[] extra) <0x545e070 + 0x000c4> in <filename unknown>:0 
  at Microsoft.ML.Runtime.ComponentCatalog.TryCreateInstance[TRes] (Microsoft.ML.Runtime.IHostEnvironment env, System.Type signatureType, TRes& result, System.String name, System.String options, System.Object[] extra) <0x545d848 + 0x001c8> in <filename unknown>:0 
  at Microsoft.ML.Runtime.ComponentCatalog.TryCreateInstance[TRes,TSig] (Microsoft.ML.Runtime.IHostEnvironment env, TRes& result, System.String name, System.String options, System.Object[] extra) <0x545d488 + 0x00018> in <filename unknown>:0 
  at Microsoft.ML.ModelLoadContext.TryLoadModelCore[TRes,TSig] (Microsoft.ML.Runtime.IHostEnvironment env, TRes& result, System.Object[] extra) <0x5365f30 + 0x00068> in <filename unknown>:0 
  at Microsoft.ML.ModelLoadContext.TryLoadModel[TRes,TSig] (Microsoft.ML.Runtime.IHostEnvironment env, TRes& result, Microsoft.ML.RepositoryReader rep, Microsoft.ML.Repository+Entry ent, System.String dir, System.Object[] extra) <0x535cb38 + 0x00068> in <filename unknown>:0 
  at Microsoft.ML.ModelLoadContext.LoadModel[TRes,TSig] (Microsoft.ML.Runtime.IHostEnvironment env, TRes& result, Microsoft.ML.RepositoryReader rep, Microsoft.ML.Repository+Entry ent, System.String dir, System.Object[] extra) <0x535c980 + 0x00038> in <filename unknown>:0 
  at Microsoft.ML.ModelLoadContext.LoadModelOrNull[TRes,TSig] (Microsoft.ML.Runtime.IHostEnvironment env, TRes& result, Microsoft.ML.RepositoryReader rep, System.String dir, System.Object[] extra) <0x5351628 + 0x00064> in <filename unknown>:0 
  at Microsoft.ML.ModelLoadContext.LoadModel[TRes,TSig] (Microsoft.ML.Runtime.IHostEnvironment env, TRes& result, Microsoft.ML.RepositoryReader rep, System.String dir, System.Object[] extra) <0x5351438 + 0x00034> in <filename unknown>:0 
  at Microsoft.ML.ModelOperationsCatalog.Load (System.IO.Stream stream, Microsoft.ML.DataViewSchema& inputSchema) <0x5243828 + 0x000a0> in <filename unknown>:0 
  at Deployments.Pages.SentimentAnalyzer2.OnInitializedAsync () [0x00096] in <PROJECTDIRECTORY>\Pages\SentimentAnalyzer2.razor:32 
  at Microsoft.AspNetCore.Components.ComponentBase.RunInitAndSetParametersAsync () <0x2ecb9b0 + 0x0013a> in <filename unknown>:0 
  at Microsoft.AspNetCore.Components.RenderTree.Renderer.GetErrorHandledTask (System.Threading.Tasks.Task taskToHandle) <0x31219d8 + 0x000b6> in <filename unknown>:0

我真的不知道该怎么做。

我用：

• ASP.NET Core 3.1
• ML.NET 1.5
• .NET标准2.1

我找到了一个在类似项目上似乎很成功的人，我们的程序在结构上是一样的：https://www.luisquintanilla.me/2020/03/01/deploy-machine-learning-mlnet-models-blazor-webassembly。

我在DigitalOcean和www.root中都托管了我的ML模型，但是它有相同的错误。

Answer 1

从.NET 5 RC1 (.NET 5或.NET 6)开始，您现在可以在客户端Blazor应用程序中托管内存中的ML.NET机器学习模型。

我的Blazor链接&用ML.NET：https://github.com/bartczernicki/Blazor-MachineIntelligence演示WASM

Answer 2

如果这是一个Blazor WASM应用程序，那么不幸的是，ML网是不兼容的。ML需要一个在x86中不存在的WebAssembly。因此，您必须在服务器上处理您的ML模型，并通过HTTP将结果发送到客户端。