获取ML NET模型zip文件的流时出现Blazor错误

Question

我对Blazor有问题。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)

这就是我想到的：

@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行出现了错误

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

我找不到有同样问题的人。这是错误代码：

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>PagesSentimentAnalyzer2.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办。

我用过：

• ASP。NET核心3.1
• ML。净1.5
• 。NET标准2.1

我发现有人似乎在类似类型的项目上取得了成功，我们的项目结构相同：https://www.luisquintanilla.me/2020/03/01/deploy-machine-learning-mlnet-models-blazor-webassembly

我在DigitalOcean和wwwroot上托管了我的ML模型，但它有同样的错误。

Answer 1

截至。NET 5 RC1(.NET 5或.NET 6(，现在可以在客户端Blazor WASM应用程序的内存中托管ML.NET机器学习模型。

我的Blazor服务器链接&使用ML.NET的WASM演示：https://github.com/bartczernicki/Blazor-MachineIntelligence

Answer 2

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