Enable opti on Microsoft.ML.OnnxRuntime with RelWithDebInfo config

[verdie-g]

Microsoft.ML.OnnxRuntime is not built with the Release configuration but RelWithDebInfo which is not recognized by the MSBuild SDK. Consequently, the optimizations are not enabled. A fix would be to simply force the configuration to be Release when building the .NET code even if it was set to RelWithDebInfo in the command line arguments but I could not find an easy way to do that. Instead, I try to mimic the behavior of the Release configuration by setting the optimize property.

I can see a 15% performance improvement using this simple model summing up the 3 inputs:

using System.Buffers;
using System.Collections.Frozen;
using System.Net;
using System.Net.Sockets;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
using System.Text;
using System.Text.RegularExpressions;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Configs;
using BenchmarkDotNet.Running;
using Microsoft.ML.OnnxRuntime;

var config = DefaultConfig.Instance; //.WithOptions(ConfigOptions.DisableOptimizationsValidator);
BenchmarkSwitcher.FromAssembly(typeof(Program).Assembly).Run(args, config);

public class OnnxBench
{
    private const int Iterations = 100_000;
    private const int BatchSize = 50;
    
    private InferenceSession _session = default!;
    private string[] _inputNames = default!;
    private OrtValue[] _inputValues = default!;
    private RunOptions _runOptions = default!;

    [GlobalSetup]
    public void GlobalSetup()
    {
        using SessionOptions sessionOptions = new();
        sessionOptions.InterOpNumThreads = 1;
        sessionOptions.IntraOpNumThreads = 1;
        sessionOptions.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_ALL;
        sessionOptions.ExecutionMode = ExecutionMode.ORT_SEQUENTIAL;

        _session = new InferenceSession(
            Convert.FromBase64String("CAo6cAoOCgFBCgFCEgFEIgNBZGQKDgoBQwoBRBIBWCIDQWRkEgJscloRCgFBEgwKCggBEgYKAAoCCAFaEQoBQhIMCgoIARIGCgAKAggBWhEKAUMSDAoKCAESBgoACgIIAWIRCgFYEgwKCggBEgYKAAoCCAFCBAoAEBU="),
            sessionOptions);
        _inputNames = ["A", "B", "C"];
        _inputValues =
        [
            OrtValue.CreateTensorValueFromMemory(new float[BatchSize], [BatchSize, 1]),
            OrtValue.CreateTensorValueFromMemory(new float[BatchSize], [BatchSize, 1]),
            OrtValue.CreateTensorValueFromMemory(new float[BatchSize], [BatchSize, 1]),
        ];
        _runOptions = new RunOptions();
    }

    [Benchmark(OperationsPerInvoke = Iterations)]
    public float Run()
    {
        var inputValues0Span = _inputValues[0].GetTensorMutableDataAsSpan<float>();
        var inputValues1Span = _inputValues[1].GetTensorMutableDataAsSpan<float>();
        var inputValues2Span = _inputValues[2].GetTensorMutableDataAsSpan<float>();
        for (int i = 0; i < BatchSize; i += 1)
        {
            inputValues0Span[i] = Random.Shared.NextSingle();
            inputValues1Span[i] = Random.Shared.NextSingle();
            inputValues2Span[i] = Random.Shared.NextSingle();
        }
        
        float sum = 0f;
        for (int i = 0; i < Iterations; i += 1)
        {
            using var output = _session.Run(_runOptions, _inputNames, _inputValues, _session.OutputNames);
            ReadOnlySpan<float> outputData = output[0].GetTensorDataAsSpan<float>();
            for (int j = 0; j < outputData.Length; j += 1)
            {
                sum += outputData[j];
            }
        }
        
        return sum;
    }
}

Method	Mean	Error	StdDev
Before	5.003 us	0.0318 us	0.0297 us
After	4.325 us	0.0568 us	0.0503 us

[snnn]

It was for reducing binary size.

[verdie-g]

Note that I'm not sure it's exactly equivalent to building in release. Though, it's a good first step.

[snnn]

/azp run Big Models, Linux Android Emulator QNN CI Pipeline, Linux CPU CI Pipeline, Linux CPU Minimal Build E2E CI Pipeline, Linux GPU CI Pipeline, Linux GPU TensorRT CI Pipeline

[snnn]

/azp run Linux OpenVINO CI Pipeline, Linux QNN CI Pipeline, MacOS CI Pipeline, ONNX Runtime Web CI Pipeline, Win_TRT_Minimal_CUDA_Test_CI, Windows ARM64 QNN CI Pipeline, Windows CPU CI Pipeline,

[snnn]

/azp run Windows GPU CUDA CI Pipeline, Windows GPU DML CI Pipeline, Windows GPU Doc Gen CI Pipeline, Windows GPU TensorRT CI Pipeline, Windows x64 QNN CI Pipeline, onnxruntime-binary-size-checks-ci-pipeline,

[azure-pipelines]

Azure Pipelines successfully started running 6 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 6 pipeline(s).

[azure-pipelines]

Azure Pipelines successfully started running 7 pipeline(s).

[snnn]

Thanks. I merged it.