mirror of
https://github.com/saymrwulf/onnxruntime.git
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### Description <!-- Describe your changes. --> MAUI test app with tooling to add model and generated or provided input test data. The app will load the model and validate the output. It can also run a specified number of iterations to provide basic performance information. <img width="401" alt="image" src="https://github.com/microsoft/onnxruntime/assets/979079/daf3af13-fb22-4cbb-9159-486b483a7485"> ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Primarily to make it easier to test an arbitrary model on iOS. A MAUI app allows testing on all platforms. --------- Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
174 lines
6 KiB
C#
174 lines
6 KiB
C#
using System.Diagnostics;
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namespace MauiModelTester;
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public partial class MainPage : ContentPage
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{
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public MainPage()
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{
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InitializeComponent();
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// See:
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// ONNX Runtime Execution Providers: https://onnxruntime.ai/docs/execution-providers/
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// Core ML: https://developer.apple.com/documentation/coreml
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// NNAPI: https://developer.android.com/ndk/guides/neuralnetworks
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ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.CPU));
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if (DeviceInfo.Platform == DevicePlatform.Android)
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{
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ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.NNAPI));
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}
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if (DeviceInfo.Platform == DevicePlatform.iOS)
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{
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ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.CoreML));
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}
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// XNNPACK provides optimized CPU execution on ARM64 and ARM platforms for models using float
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var arch = System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture;
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if (arch == System.Runtime.InteropServices.Architecture.Arm64 ||
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arch == System.Runtime.InteropServices.Architecture.Arm)
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{
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ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.XNNPACK));
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}
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ExecutionProviderOptions.SelectedIndex = 0; // default to CPU
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ExecutionProviderOptions.SelectedIndexChanged += ExecutionProviderOptions_SelectedIndexChanged;
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_currentExecutionProvider = ExecutionProviders.CPU;
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// start creating session in background.
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CreateInferenceSession();
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}
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private async Task CreateInferenceSession()
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{
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// wait if we're already creating an inference session.
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if (_inferenceSessionCreationTask != null)
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{
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await _inferenceSessionCreationTask.ConfigureAwait(false);
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_inferenceSessionCreationTask = null;
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}
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_inferenceSessionCreationTask = CreateInferenceSessionImpl();
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}
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private async Task CreateInferenceSessionImpl()
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{
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var executionProvider = ExecutionProviderOptions.SelectedItem switch {
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nameof(ExecutionProviders.NNAPI) => ExecutionProviders.NNAPI,
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nameof(ExecutionProviders.CoreML) => ExecutionProviders.CoreML,
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nameof(ExecutionProviders.XNNPACK) => ExecutionProviders.XNNPACK,
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_ => ExecutionProviders.CPU
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};
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if (_inferenceSession == null || executionProvider != _currentExecutionProvider)
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{
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_currentExecutionProvider = executionProvider;
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// re/create an inference session with the execution provider.
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// this is an expensive operation as we have to reload the model, and should be avoided in production apps.
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_inferenceSession = new OrtInferenceSession(_currentExecutionProvider);
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await _inferenceSession.Create();
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// Display the results which at this point will have the model load time and the warmup Run() time.
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ShowResults();
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}
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}
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private void ExecutionProviderOptions_SelectedIndexChanged(object sender, EventArgs e)
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{
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// update in background
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UpdateExecutionProvider();
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}
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private void OnRunClicked(object sender, EventArgs e)
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{
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// run in background
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RunAsync();
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}
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private async Task UpdateExecutionProvider()
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{
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try
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{
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await SetBusy(true);
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await CreateInferenceSession();
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await SetBusy(false);
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}
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catch (Exception ex)
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{
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await SetBusy(false);
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MainThread.BeginInvokeOnMainThread(() => DisplayAlert("Error", ex.Message, "OK"));
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}
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}
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private async Task RunAsync()
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{
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try
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{
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await SetBusy(true);
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await ClearResult();
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var iterationsStr = Iterations.Text;
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int iterations = iterationsStr == string.Empty ? 10 : int.Parse(iterationsStr);
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// create inference session if it doesn't exist or EP has changed
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await CreateInferenceSession();
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await Task.Run(() => _inferenceSession.Run(iterations));
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await SetBusy(false);
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ShowResults();
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}
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catch (Exception ex)
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{
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await SetBusy(false);
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MainThread.BeginInvokeOnMainThread(() => DisplayAlert("Error", ex.Message, "OK"));
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}
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}
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private async Task SetBusy(bool busy)
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{
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await MainThread.InvokeOnMainThreadAsync(() =>
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{
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// disable controls that would create a new session or another
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// Run call until we're done with the current Run.
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ExecutionProviderOptions.IsEnabled = !busy;
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RunButton.IsEnabled = !busy;
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BusyIndicator.IsRunning = busy;
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BusyIndicator.IsVisible = busy;
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});
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}
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private async Task ClearResult()
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{
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await MainThread.InvokeOnMainThreadAsync(() =>
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{ TestResults.Clear(); });
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}
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private void ShowResults()
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{
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var createResults = () =>
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{
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var stats = _inferenceSession.PerfStats;
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var label = new Label { TextColor = Colors.GhostWhite };
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label.Text = $"Model load time: {stats.LoadTime.TotalMilliseconds:F4} ms\n";
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label.Text += $"Warmup run time: {stats.WarmupTime.TotalMilliseconds:F4} ms\n\n";
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label.Text += string.Join('\n', stats.GetRunStatsReport(true));
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TestResults.Add(label);
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Debug.WriteLine(label.Text);
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};
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MainThread.BeginInvokeOnMainThread(createResults);
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}
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private ExecutionProviders _currentExecutionProvider;
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private OrtInferenceSession _inferenceSession;
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private Task _inferenceSessionCreationTask;
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}
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