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| <Project Sdk="Microsoft.NET.Sdk" ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"> | ||
| <PropertyGroup> | ||
| <OutputType>Exe</OutputType> | ||
| <LangVersion>7.2</LangVersion> | ||
| <StartupObject>Microsoft.ML.Benchmarks.Program</StartupObject> | ||
| <TargetFramework>netcoreapp2.0</TargetFramework> | ||
| </PropertyGroup> | ||
| <ItemGroup> | ||
| <Compile Remove="BenchmarkDotNet.Artifacts\**" /> | ||
| <EmbeddedResource Remove="BenchmarkDotNet.Artifacts\**" /> | ||
| <None Remove="BenchmarkDotNet.Artifacts\**" /> | ||
| </ItemGroup> | ||
| <ItemGroup> | ||
| <PackageReference Include="BenchmarkDotNet" Version="0.10.14" /> | ||
| </ItemGroup> | ||
| <ItemGroup> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML.StandardLearners\Microsoft.ML.StandardLearners.csproj" /> | ||
| <ProjectReference Include="..\..\src\Microsoft.ML\Microsoft.ML.csproj" /> | ||
| </ItemGroup> | ||
| <ItemGroup> | ||
| <NativeAssemblyReference Include="CpuMathNative" /> | ||
| </ItemGroup> | ||
| </Project> |
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| // Licensed to the .NET Foundation under one or more agreements. | ||
| // The .NET Foundation licenses this file to you under the MIT license. | ||
| // See the LICENSE file in the project root for more information. | ||
| using BenchmarkDotNet.Configs; | ||
| using BenchmarkDotNet.Diagnosers; | ||
| using BenchmarkDotNet.Jobs; | ||
| using BenchmarkDotNet.Running; | ||
| using BenchmarkDotNet.Columns; | ||
| using BenchmarkDotNet.Reports; | ||
| using BenchmarkDotNet.Toolchains.CsProj; | ||
| using BenchmarkDotNet.Toolchains.InProcess; | ||
| using System; | ||
| using System.IO; | ||
| using Microsoft.ML.Models; | ||
| using Microsoft.ML.Runtime.Api; | ||
| using Microsoft.ML.Trainers; | ||
| using Microsoft.ML.Transforms; | ||
| using Microsoft.ML.Benchmarks; | ||
| namespace Microsoft.ML.Benchmarks | ||
| { | ||
| class Program | ||
| { | ||
| /// <summary> | ||
| /// execute dotnet run -c Release and choose the benchmarks you want to run | ||
| /// </summary> | ||
| /// <param name="args"></param> | ||
| static void Main(string[] args) | ||
| { | ||
| BenchmarkSwitcher | ||
| .FromAssembly(typeof(Program).Assembly) | ||
| .Run(null, CreateClrVsCoreConfig()); | ||
| } | ||
| private static IConfig CreateClrVsCoreConfig() | ||
| { | ||
| var config = DefaultConfig.Instance.With( | ||
| Job.ShortRun. | ||
| With(InProcessToolchain.Instance)). | ||
| With(new ClassificationMetricsColumn("AccuracyMacro", "Macro-average accuracy of the model")). | ||
| With(MemoryDiagnoser.Default); | ||
| return config; | ||
| } | ||
| internal static string GetDataPath(string name) | ||
| => Path.GetFullPath(Path.Combine(_dataRoot, name)); | ||
| static readonly string _dataRoot; | ||
| static Program() | ||
| { | ||
| var currentAssemblyLocation = new FileInfo(typeof(Program).Assembly.Location); | ||
| var rootDir = currentAssemblyLocation.Directory.Parent.Parent.Parent.Parent.FullName; | ||
| _dataRoot = Path.Combine(rootDir, "test", "data"); | ||
| } | ||
| } | ||
| public class ClassificationMetricsColumn : IColumn | ||
| { | ||
| string _metricName; | ||
| string _legend; | ||
| public ClassificationMetricsColumn(string metricName, string legend) | ||
| { | ||
| _metricName = metricName; | ||
| _legend = legend; | ||
| } | ||
| public string ColumnName => _metricName; | ||
| public string Id => _metricName; | ||
| public string Legend => _legend; | ||
| public bool IsNumeric => true; | ||
| public bool IsDefault(Summary summary, Benchmark benchmark) => true; | ||
| public bool IsAvailable(Summary summary) => true; | ||
| public bool AlwaysShow => true; | ||
| public ColumnCategory Category => ColumnCategory.Custom; | ||
| public int PriorityInCategory => 1; | ||
| public UnitType UnitType => UnitType.Dimensionless; | ||
| public string GetValue(Summary summary, Benchmark benchmark, ISummaryStyle style) | ||
| { | ||
| var property = typeof(ClassificationMetrics).GetProperty(_metricName); | ||
| return property.GetValue(StochasticDualCoordinateAscentClassifierBench.s_metrics).ToString(); | ||
| } | ||
| public string GetValue(Summary summary, Benchmark benchmark) => GetValue(summary, benchmark, null); | ||
| public override string ToString() => ColumnName; | ||
| } | ||
| } | ||
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| // Licensed to the .NET Foundation under one or more agreements. | ||
| // The .NET Foundation licenses this file to you under the MIT license. | ||
| // See the LICENSE file in the project root for more information. | ||
| using BenchmarkDotNet.Attributes; | ||
| using BenchmarkDotNet.Running; | ||
| using Microsoft.ML.Models; | ||
| using Microsoft.ML.Runtime.Api; | ||
| using Microsoft.ML.Trainers; | ||
| using Microsoft.ML.Transforms; | ||
| using System; | ||
| using System.Collections.Generic; | ||
| using System.Linq; | ||
| namespace Microsoft.ML.Benchmarks | ||
| { | ||
| public class StochasticDualCoordinateAscentClassifierBench | ||
| { | ||
| internal static ClassificationMetrics s_metrics; | ||
| private static PredictionModel<IrisData, IrisPrediction> s_trainedModel; | ||
| private static string s_dataPath; | ||
| private static IrisData[][] s_batches; | ||
| private static readonly int[] s_batchSizes = new int[] { 1, 2, 5 }; | ||
| private readonly Random r = new Random(0); | ||
| private readonly static IrisData s_example = new IrisData() | ||
| { | ||
| SepalLength = 3.3f, | ||
| SepalWidth = 1.6f, | ||
| PetalLength = 0.2f, | ||
| PetalWidth = 5.1f, | ||
| }; | ||
| [Benchmark] | ||
| public PredictionModel<IrisData, IrisPrediction> TrainIris() => TrainCore(); | ||
| [Benchmark] | ||
| public float[] PredictIris() => s_trainedModel.Predict(s_example).PredictedLabels; | ||
| [Benchmark] | ||
| public IEnumerable<IrisPrediction> PredictIrisBatchOf1() => s_trainedModel.Predict(s_batches[0]); | ||
| [Benchmark] | ||
| public IEnumerable<IrisPrediction> PredictIrisBatchOf2() => s_trainedModel.Predict(s_batches[1]); | ||
| [Benchmark] | ||
| public IEnumerable<IrisPrediction> PredictIrisBatchOf5() => s_trainedModel.Predict(s_batches[2]); | ||
| [GlobalSetup] | ||
| public void Setup() | ||
| { | ||
| s_dataPath = Program.GetDataPath("iris.txt"); | ||
| s_trainedModel = TrainCore(); | ||
| IrisPrediction prediction = s_trainedModel.Predict(s_example); | ||
| var testData = new TextLoader<IrisData>(s_dataPath, useHeader: true, separator: "tab"); | ||
| var evaluator = new ClassificationEvaluator(); | ||
| s_metrics = evaluator.Evaluate(s_trainedModel, testData); | ||
| s_batches = new IrisData[s_batchSizes.Length][]; | ||
| for (int i = 0; i < s_batches.Length; i++) | ||
| { | ||
| var batch = new IrisData[s_batchSizes[i]]; | ||
| s_batches[i] = batch; | ||
| for (int bi = 0; bi < batch.Length; bi++) | ||
| { | ||
| batch[bi] = s_example; | ||
| } | ||
| } | ||
| } | ||
| private static PredictionModel<IrisData, IrisPrediction> TrainCore() | ||
Member There was a problem hiding this comment. Is this method a duplicate of MemberAuthor There was a problem hiding this comment. Yeah, they used to be different, but now after all the tweaks they become identical. I will remove one of them. | ||
| { | ||
| var pipeline = new LearningPipeline(); | ||
| pipeline.Add(new TextLoader<IrisData>(s_dataPath, useHeader: true, separator: "tab")); | ||
| pipeline.Add(new ColumnConcatenator(outputColumn: "Features", | ||
| "SepalLength", "SepalWidth", "PetalLength", "PetalWidth")); | ||
| pipeline.Add(new StochasticDualCoordinateAscentClassifier()); | ||
| PredictionModel<IrisData, IrisPrediction> model = pipeline.Train<IrisData, IrisPrediction>(); | ||
| return model; | ||
| } | ||
| public class IrisData | ||
| { | ||
| [Column("0")] | ||
| public float Label; | ||
| [Column("1")] | ||
| public float SepalLength; | ||
| [Column("2")] | ||
| public float SepalWidth; | ||
| [Column("3")] | ||
| public float PetalLength; | ||
| [Column("4")] | ||
| public float PetalWidth; | ||
| } | ||
| public class IrisPrediction | ||
| { | ||
| [ColumnName("Score")] | ||
| public float[] PredictedLabels; | ||
| } | ||
| } | ||
| } | ||
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Why is this an EXE and not a test?
I wonder would it be easier if we just have such tests as regular unit tests? from a dev perpective, we have nice tools to run and compare results for tests. #Pending
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BenchmarkDotNet (BDN) test are exes. I am pretty sure they cannot be dlls that are run as part of unit tests. I think @adamsitnik is working on infrastructure that will let us run the tests in the outer loop (daily runs) #Resolved