onnxruntime/csharp/tools/MauiModelTester/MainPage.xaml.cs
Scott McKay ad90352a68
Add MAUI test app that can be used to test model loading and performance (#16658)
### 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>
2023-07-18 08:21:18 +10:00

174 lines
6 KiB
C#

using System.Diagnostics;
namespace MauiModelTester;
public partial class MainPage : ContentPage
{
public MainPage()
{
InitializeComponent();
// See:
// ONNX Runtime Execution Providers: https://onnxruntime.ai/docs/execution-providers/
// Core ML: https://developer.apple.com/documentation/coreml
// NNAPI: https://developer.android.com/ndk/guides/neuralnetworks
ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.CPU));
if (DeviceInfo.Platform == DevicePlatform.Android)
{
ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.NNAPI));
}
if (DeviceInfo.Platform == DevicePlatform.iOS)
{
ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.CoreML));
}
// XNNPACK provides optimized CPU execution on ARM64 and ARM platforms for models using float
var arch = System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture;
if (arch == System.Runtime.InteropServices.Architecture.Arm64 ||
arch == System.Runtime.InteropServices.Architecture.Arm)
{
ExecutionProviderOptions.Items.Add(nameof(ExecutionProviders.XNNPACK));
}
ExecutionProviderOptions.SelectedIndex = 0; // default to CPU
ExecutionProviderOptions.SelectedIndexChanged += ExecutionProviderOptions_SelectedIndexChanged;
_currentExecutionProvider = ExecutionProviders.CPU;
// start creating session in background.
CreateInferenceSession();
}
private async Task CreateInferenceSession()
{
// wait if we're already creating an inference session.
if (_inferenceSessionCreationTask != null)
{
await _inferenceSessionCreationTask.ConfigureAwait(false);
_inferenceSessionCreationTask = null;
}
_inferenceSessionCreationTask = CreateInferenceSessionImpl();
}
private async Task CreateInferenceSessionImpl()
{
var executionProvider = ExecutionProviderOptions.SelectedItem switch {
nameof(ExecutionProviders.NNAPI) => ExecutionProviders.NNAPI,
nameof(ExecutionProviders.CoreML) => ExecutionProviders.CoreML,
nameof(ExecutionProviders.XNNPACK) => ExecutionProviders.XNNPACK,
_ => ExecutionProviders.CPU
};
if (_inferenceSession == null || executionProvider != _currentExecutionProvider)
{
_currentExecutionProvider = executionProvider;
// re/create an inference session with the execution provider.
// this is an expensive operation as we have to reload the model, and should be avoided in production apps.
_inferenceSession = new OrtInferenceSession(_currentExecutionProvider);
await _inferenceSession.Create();
// Display the results which at this point will have the model load time and the warmup Run() time.
ShowResults();
}
}
private void ExecutionProviderOptions_SelectedIndexChanged(object sender, EventArgs e)
{
// update in background
UpdateExecutionProvider();
}
private void OnRunClicked(object sender, EventArgs e)
{
// run in background
RunAsync();
}
private async Task UpdateExecutionProvider()
{
try
{
await SetBusy(true);
await CreateInferenceSession();
await SetBusy(false);
}
catch (Exception ex)
{
await SetBusy(false);
MainThread.BeginInvokeOnMainThread(() => DisplayAlert("Error", ex.Message, "OK"));
}
}
private async Task RunAsync()
{
try
{
await SetBusy(true);
await ClearResult();
var iterationsStr = Iterations.Text;
int iterations = iterationsStr == string.Empty ? 10 : int.Parse(iterationsStr);
// create inference session if it doesn't exist or EP has changed
await CreateInferenceSession();
await Task.Run(() => _inferenceSession.Run(iterations));
await SetBusy(false);
ShowResults();
}
catch (Exception ex)
{
await SetBusy(false);
MainThread.BeginInvokeOnMainThread(() => DisplayAlert("Error", ex.Message, "OK"));
}
}
private async Task SetBusy(bool busy)
{
await MainThread.InvokeOnMainThreadAsync(() =>
{
// disable controls that would create a new session or another
// Run call until we're done with the current Run.
ExecutionProviderOptions.IsEnabled = !busy;
RunButton.IsEnabled = !busy;
BusyIndicator.IsRunning = busy;
BusyIndicator.IsVisible = busy;
});
}
private async Task ClearResult()
{
await MainThread.InvokeOnMainThreadAsync(() =>
{ TestResults.Clear(); });
}
private void ShowResults()
{
var createResults = () =>
{
var stats = _inferenceSession.PerfStats;
var label = new Label { TextColor = Colors.GhostWhite };
label.Text = $"Model load time: {stats.LoadTime.TotalMilliseconds:F4} ms\n";
label.Text += $"Warmup run time: {stats.WarmupTime.TotalMilliseconds:F4} ms\n\n";
label.Text += string.Join('\n', stats.GetRunStatsReport(true));
TestResults.Add(label);
Debug.WriteLine(label.Text);
};
MainThread.BeginInvokeOnMainThread(createResults);
}
private ExecutionProviders _currentExecutionProvider;
private OrtInferenceSession _inferenceSession;
private Task _inferenceSessionCreationTask;
}