From 5d1c55f8aa7b51599fd71d4a9c13e616ba593281 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 10:19:43 +0000 Subject: [PATCH 01/60] Add OneDal namespace --- Microsoft.ML.sln | 10 +++ eng/Versions.props | 3 + .../Properties/AssemblyInfo.cs | 1 + .../Properties/AssemblyInfo.cs | 1 + .../Properties/AssemblyInfo.cs | 1 + .../Microsoft.ML.FastTree.csproj | 3 + .../Microsoft.ML.Mkl.Components.csproj | 3 + .../Microsoft.ML.OneDal.csproj | 38 +++++++++++ src/Microsoft.ML.OneDal/OneDalCatalog.cs | 15 +++++ src/Microsoft.ML.OneDal/OneDalUtils.cs | 67 +++++++++++++++++++ .../Properties/AssemblyInfo.cs | 14 ++++ .../Microsoft.ML.Core.Tests.csproj | 2 + .../Microsoft.ML.IntegrationTests.csproj | 2 + .../Microsoft.ML.NightlyBuild.Tests.csproj | 1 + .../Microsoft.ML.Predictor.Tests.csproj | 1 + .../Microsoft.ML.TestFramework.csproj | 1 + .../Microsoft.ML.Tests.csproj | 2 + 17 files changed, 165 insertions(+) create mode 100644 src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj create mode 100644 src/Microsoft.ML.OneDal/OneDalCatalog.cs create mode 100644 src/Microsoft.ML.OneDal/OneDalUtils.cs create mode 100644 src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs diff --git a/Microsoft.ML.sln b/Microsoft.ML.sln index 87fe950e9c..d7ddef45fd 100644 --- a/Microsoft.ML.sln +++ b/Microsoft.ML.sln @@ -71,6 +71,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ImageAnalytics EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Mkl.Components", "src\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.csproj", "{A7222F41-1CF0-47D9-B80C-B4D77B027A61}" EndProject +Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.OneDal", "src\Microsoft.ML.OneDal\Microsoft.ML.OneDal.csproj", "{A7222F94-2AF1-10C9-A21C-C4D22B137A69}" +EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TensorFlow", "src\Microsoft.ML.TensorFlow\Microsoft.ML.TensorFlow.csproj", "{570A0B8A-5463-44D2-8521-54C0CA4CACA9}" EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TimeSeries", "src\Microsoft.ML.TimeSeries\Microsoft.ML.TimeSeries.csproj", "{5A79C7F0-3D99-4123-B0DA-7C9FFCD13132}" @@ -403,6 +405,14 @@ Global {A7222F41-1CF0-47D9-B80C-B4D77B027A61}.Debug|Any CPU.Build.0 = Debug|Any CPU {A7222F41-1CF0-47D9-B80C-B4D77B027A61}.Debug|x64.ActiveCfg = Debug|Any CPU {A7222F41-1CF0-47D9-B80C-B4D77B027A61}.Debug|x64.Build.0 = Debug|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Debug|Any CPU.ActiveCfg = Debug|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Debug|Any CPU.Build.0 = Debug|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Debug|x64.ActiveCfg = Debug|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Debug|x64.Build.0 = Debug|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Release|Any CPU.ActiveCfg = Release|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Release|Any CPU.Build.0 = Release|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Release|x64.ActiveCfg = Release|Any CPU + {A7222F94-2AF1-10C9-A21C-C4D22B137A69}.Release|x64.Build.0 = Release|Any CPU {A7222F41-1CF0-47D9-B80C-B4D77B027A61}.Release|Any CPU.ActiveCfg = Release|Any CPU {A7222F41-1CF0-47D9-B80C-B4D77B027A61}.Release|Any CPU.Build.0 = Release|Any CPU {A7222F41-1CF0-47D9-B80C-B4D77B027A61}.Release|x64.ActiveCfg = Release|Any CPU diff --git a/eng/Versions.props b/eng/Versions.props index f669ef7226..ee70718f04 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -39,6 +39,9 @@ 1.0.0-beta.22504.6 1.10.0 0.0.0.12 + 2021.7.0 + 1 + 1 2.1.0 2.1.0 13.0.1 diff --git a/src/Microsoft.ML.Core/Properties/AssemblyInfo.cs b/src/Microsoft.ML.Core/Properties/AssemblyInfo.cs index bbfd94eee5..65cf1b095c 100644 --- a/src/Microsoft.ML.Core/Properties/AssemblyInfo.cs +++ b/src/Microsoft.ML.Core/Properties/AssemblyInfo.cs @@ -25,6 +25,7 @@ [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Ensemble" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.FastTree" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components" + PublicKey.Value)] +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OneDal" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.KMeansClustering" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.LightGbm" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OnnxConverter" + PublicKey.Value)] diff --git a/src/Microsoft.ML.CpuMath/Properties/AssemblyInfo.cs b/src/Microsoft.ML.CpuMath/Properties/AssemblyInfo.cs index 94c27a7fbf..2e961d1f3c 100644 --- a/src/Microsoft.ML.CpuMath/Properties/AssemblyInfo.cs +++ b/src/Microsoft.ML.CpuMath/Properties/AssemblyInfo.cs @@ -9,6 +9,7 @@ [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Internal.CpuMath" + InternalPublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Runtime.Internal.MklMath" + InternalPublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "LibSvmWrapper" + InternalPublicKey.Value)] +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OneDal" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Runtime.NeuralNetworks" + InternalPublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.RServerScoring.NeuralNetworks" + InternalPublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.AutoML" + PublicKey.Value)] diff --git a/src/Microsoft.ML.Data/Properties/AssemblyInfo.cs b/src/Microsoft.ML.Data/Properties/AssemblyInfo.cs index d8e6944256..e905b08993 100644 --- a/src/Microsoft.ML.Data/Properties/AssemblyInfo.cs +++ b/src/Microsoft.ML.Data/Properties/AssemblyInfo.cs @@ -24,6 +24,7 @@ [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Ensemble" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.FastTree" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components" + PublicKey.Value)] +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OneDal" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.KMeansClustering" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.LightGbm" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OnnxConverter" + PublicKey.Value)] diff --git a/src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj b/src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj index 52cc2f11a5..acbef6b851 100644 --- a/src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj +++ b/src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj @@ -19,6 +19,9 @@ all + + all + diff --git a/src/Microsoft.ML.Mkl.Components/Microsoft.ML.Mkl.Components.csproj b/src/Microsoft.ML.Mkl.Components/Microsoft.ML.Mkl.Components.csproj index b944230fdb..56566d43df 100644 --- a/src/Microsoft.ML.Mkl.Components/Microsoft.ML.Mkl.Components.csproj +++ b/src/Microsoft.ML.Mkl.Components/Microsoft.ML.Mkl.Components.csproj @@ -19,6 +19,9 @@ all + + all + diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj new file mode 100644 index 0000000000..6d2d4b784a --- /dev/null +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -0,0 +1,38 @@ + + + + netstandard2.0 + Microsoft.ML.OneDal + true + ML.NET additional learners making use of IntelĀ® oneAPI Data Analytics Library (oneDAL). + $(TargetsForTfmSpecificBuildOutput) + + + + + all + + + all + + + all + + + all + + + + win + linux + osx + + + + all + + + + + + diff --git a/src/Microsoft.ML.OneDal/OneDalCatalog.cs b/src/Microsoft.ML.OneDal/OneDalCatalog.cs new file mode 100644 index 0000000000..6a0ef1a18f --- /dev/null +++ b/src/Microsoft.ML.OneDal/OneDalCatalog.cs @@ -0,0 +1,15 @@ +// 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 Microsoft.ML.Data; +using Microsoft.ML.Runtime; +using Microsoft.ML.Trainers; +using Microsoft.ML.Transforms; + +namespace Microsoft.ML +{ + public static class OneDalCatalog + { + } +} diff --git a/src/Microsoft.ML.OneDal/OneDalUtils.cs b/src/Microsoft.ML.OneDal/OneDalUtils.cs new file mode 100644 index 0000000000..f95d2d7eec --- /dev/null +++ b/src/Microsoft.ML.OneDal/OneDalUtils.cs @@ -0,0 +1,67 @@ +// 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 System; +using System.Linq; +using System.Collections.Generic; +using System.Runtime.InteropServices; +using Microsoft.ML.Runtime; +using Microsoft.ML.Trainers; +using Microsoft.ML.Internal.Utilities; + +namespace Microsoft.ML.OneDal +{ + internal static class OneDalUtils + { + public static bool IsDispatchingEnabled() + { + return Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && + System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64; + } + + public static long GetTrainData(IChannel channel, FloatLabelCursor.Factory cursorFactory, ref List featuresList, ref List labelsList, int numberOfFeatures) + { + long n = 0; + using (var cursor = cursorFactory.Create()) + { + while (cursor.MoveNext()) + { + // label + labelsList.Add(cursor.Label); + + // features + var values = cursor.Features.GetValues(); + if (cursor.Features.IsDense) + { + channel.Assert(values.Length == numberOfFeatures); + + for (int j = 0; j < numberOfFeatures; ++j) + { + featuresList.Add(values[j]); + } + } + else + { + var indices = cursor.Features.GetIndices(); + int i = 0; + for (int j = 0; j < indices.Length; ++j) + { + for (int k = i; k < indices[j]; ++k) + { + featuresList.Add(0); + } + featuresList.Add(values[indices[j]]); + i = indices[j] + 1; + } + } + n++; + } + channel.Check(n > 0, "No training examples in dataset."); + if (cursor.BadFeaturesRowCount > 0) + channel.Warning("Skipped {0} instances with missing features/labelColumn during training", cursor.SkippedRowCount); + } + return n; + } + } +} \ No newline at end of file diff --git a/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs b/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs new file mode 100644 index 0000000000..1d98cbbfae --- /dev/null +++ b/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs @@ -0,0 +1,14 @@ +// 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 System.Runtime.CompilerServices; +using Microsoft.ML; + +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.FastTree" + PublicKey.Value)] +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components" + PublicKey.Value)] + +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Tests" + PublicKey.TestValue)] +[assembly: InternalsVisibleTo(assemblyName: "RunTests" + InternalPublicKey.Value)] + +[assembly: WantsToBeBestFriends] diff --git a/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj b/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj index 7b70b7af77..b03c0f2169 100644 --- a/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj +++ b/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj @@ -14,6 +14,7 @@ + @@ -41,6 +42,7 @@ + diff --git a/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj b/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj index 2fabb1ef02..c2b3b8cee8 100644 --- a/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj +++ b/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj @@ -17,6 +17,7 @@ + @@ -39,6 +40,7 @@ + diff --git a/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj b/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj index 12c458a596..faca86a110 100644 --- a/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj +++ b/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj @@ -22,6 +22,7 @@ + diff --git a/test/Microsoft.ML.Predictor.Tests/Microsoft.ML.Predictor.Tests.csproj b/test/Microsoft.ML.Predictor.Tests/Microsoft.ML.Predictor.Tests.csproj index e9914a5694..603a87f629 100644 --- a/test/Microsoft.ML.Predictor.Tests/Microsoft.ML.Predictor.Tests.csproj +++ b/test/Microsoft.ML.Predictor.Tests/Microsoft.ML.Predictor.Tests.csproj @@ -6,6 +6,7 @@ + diff --git a/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj b/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj index 728e95e3a5..7340a62023 100644 --- a/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj +++ b/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj @@ -28,6 +28,7 @@ + diff --git a/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj b/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj index 64a3edbb49..a693d070e5 100644 --- a/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj +++ b/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj @@ -19,6 +19,7 @@ + @@ -48,6 +49,7 @@ + From 4d3848692118d4c495d237fd1a4fd94b5f7c461a Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 10:20:29 +0000 Subject: [PATCH 02/60] oneDAL algorithms wrapper --- src/Native/CMakeLists.txt | 1 + src/Native/Native.proj | 24 +- src/Native/OneDalNative/CMakeLists.txt | 24 + src/Native/OneDalNative/OneDalAlgorithms.cpp | 860 +++++++++++++++++++ src/Native/build.cmd | 2 + src/Native/build.sh | 10 + src/Native/gen-buildsys-win.bat | 2 +- 7 files changed, 921 insertions(+), 2 deletions(-) create mode 100644 src/Native/OneDalNative/CMakeLists.txt create mode 100644 src/Native/OneDalNative/OneDalAlgorithms.cpp diff --git a/src/Native/CMakeLists.txt b/src/Native/CMakeLists.txt index 39019ab306..e9f3514732 100644 --- a/src/Native/CMakeLists.txt +++ b/src/Native/CMakeLists.txt @@ -258,6 +258,7 @@ if(NOT ${ARCHITECTURE} MATCHES "arm.*") add_subdirectory(CpuMathNative) add_subdirectory(FastTreeNative) add_subdirectory(MklProxyNative) + add_subdirectory(OneDalNative) # TODO: once we fix the 4 intel MKL methods, SymSgdNative will need to go back in. add_subdirectory(SymSgdNative) endif() diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 260e929674..9ad23b14e4 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -50,6 +50,15 @@ .dylib.dwarf + + .$(OneDalMajorBinaryVersion)$(NativeLibExtension) + $(NativeLibExtension).$(OneDalMajorBinaryVersion).$(OneDalMinorBinaryVersion) + + redist\intel64 + lib\intel64 + lib + + @@ -65,6 +74,7 @@ the rpath in the assembly to where it should load the referenced assembly and since .NET Core can run assemblies out of a NuGet cache, we need to add the NuGet cache relative location. --> $(BuildArgs) --mkllibrpath ../../../../../microsoft.ml.mkl.redist/$(Version)/runtimes/$(PackageRid)/native + $(BuildArgs) --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)/$(OneDalRedistVersion)/build/native @@ -77,7 +87,7 @@ DependsOnTargets="GenerateNativeVersionFile"> - $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native + $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsPackageVersion)\runtimes\$(PackageRid)\native --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid).$(OneDalRedistVersion)/build/native @@ -102,6 +112,15 @@ + + + + + + diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt new file mode 100644 index 0000000000..cb13ae2645 --- /dev/null +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -0,0 +1,24 @@ +project (OneDalNative) + +if(NOT ${ARCHITECTURE} MATCHES "arm.*") + add_definitions(-DUSESSE) +endif() + +set(USE_DPCPP no) +set(TARGET_LINK dynamic) +set(TBB_FIND_COMPONENTS "tbb;tbbmalloc") + +set(DALROOT "${ONEDAL_LIB_PATH}/daal") + +list(APPEND CMAKE_PREFIX_PATH "${ONEDAL_LIB_PATH}/daal") +list(APPEND CMAKE_PREFIX_PATH "${ONEDAL_LIB_PATH}/tbb") + +find_package(oneDAL CONFIG REQUIRED onedal_core onedal_thread) + +include_directories(${oneDAL_INCLUDE_DIRS}) +link_libraries(${oneDAL_IMPORTED_TARGETS}) + +set(SOURCES OneDalAlgorithms.cpp) + +add_library(OneDalNative SHARED ${SOURCES} ${RESOURCES}) +install_library_and_symbols(OneDalNative) diff --git a/src/Native/OneDalNative/OneDalAlgorithms.cpp b/src/Native/OneDalNative/OneDalAlgorithms.cpp new file mode 100644 index 0000000000..9a5028f043 --- /dev/null +++ b/src/Native/OneDalNative/OneDalAlgorithms.cpp @@ -0,0 +1,860 @@ +#include +#include +#include "daal.h" +#include "../Stdafx.h" + +using namespace std; +using namespace daal; +using namespace daal::algorithms; +using namespace daal::services; +using namespace daal::data_management; + + +bool getVerboseVariable() +{ + bool verbose = false; + #ifdef linux + if (const char* env_p = std::getenv("MLNET_BACKEND_VERBOSE")) + #elif _WIN32 + // WL Merge Note: std::getenv cause compilation error, use _dupenv_s in win, need to validate correctness. + char * env_p; + size_t size; + errno_t err = _dupenv_s(&env_p, &size, "MLNET_BACKEND_VERBOSE"); + if(!err && env_p) + #endif + verbose = true; + #ifdef _WIN32 + free(env_p); + #endif + + return verbose; +} +/* + Decision Forest regression tree traveler +*/ +template +class RegressorNodeVisitor : public daal::algorithms::tree_utils::regression::TreeNodeVisitor +{ +public: + RegressorNodeVisitor(size_t numberOfLeaves, bool verbose) + { + _verbose = verbose; + _numberOfLeaves = numberOfLeaves; + _lteChild = new int[_numberOfLeaves - 1]; + _gtChild = new int[_numberOfLeaves - 1]; + _splitFeature = new int[_numberOfLeaves - 1]; + _featureThreshold = new FPType[_numberOfLeaves - 1]; + _leafValues = new FPType[_numberOfLeaves]; + + _currentNode = 0; + _currentLeaf = -1; + _previousLevel = 0; + _previousNodes = new size_t[1024]; + } + + virtual bool onLeafNode(const tree_utils::regression::LeafNodeDescriptor & desc) + { + // step down + if (desc.level == _previousLevel + 1) + { + _lteChild[_previousNodes[_previousLevel]] = _currentLeaf; + } + // switch to different branch + else + { + _gtChild[_previousNodes[desc.level - 1]] = _currentLeaf; + } + _leafValues[-_currentLeaf - 1] = desc.response; + _previousLevel = desc.level; + _currentLeaf--; + + if (_verbose) + { + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "Level " << desc.level << ", leaf node. Response value = " << desc.response << ", Impurity = " << desc.impurity + << ", Number of samples = " << desc.nNodeSampleCount << std::endl; + + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "DEBUG: current level " << _previousLevel << " currentLeaf " << _currentLeaf + 1 << " previousNodes"; + } + + return true; + } + + virtual bool onSplitNode(const tree_utils::regression::SplitNodeDescriptor & desc) + { + // step down or root node + if (desc.level == _previousLevel + 1 || desc.level == 0) + { + if (desc.level != 0) + _lteChild[_previousNodes[_previousLevel]] = _currentNode; + } + // switch to different branch + else + { + _gtChild[_previousNodes[desc.level - 1]] = _currentNode; + } + _splitFeature[_currentNode] = desc.featureIndex; + _featureThreshold[_currentNode] = desc.featureValue; + _previousNodes[desc.level] = _currentNode; + _previousLevel = desc.level; + _currentNode++; + + if (_verbose) + { + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "Level " << desc.level << ", split node. Feature index = " << desc.featureIndex << ", feature value = " << desc.featureValue + << ", Impurity = " << desc.impurity << ", Number of samples = " << desc.nNodeSampleCount << std::endl; + + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "DEBUG: current level " << _previousLevel << " currentNode " << _currentNode - 1 << " previousNodes"; + for (size_t i = 0; i < desc.level; ++i) + std::cout << " " << _previousNodes[i]; + std::cout << std::endl; + } + + return true; + } + + void copyTreeStructureToBuffers(int * lteChild, int * gtChild, int * splitFeature, FPType * featureThreshold, FPType * leafValues) + { + for (size_t i = 0; i < _numberOfLeaves - 1; ++i) + { + lteChild[i] = _lteChild[i]; + gtChild[i] = _gtChild[i]; + splitFeature[i] = _splitFeature[i]; + featureThreshold[i] = _featureThreshold[i]; + leafValues[i] = _leafValues[i]; + } + leafValues[_numberOfLeaves - 1] = _leafValues[_numberOfLeaves - 1]; + + if (_verbose) + { + printf("Number of leaves: %d\n", -_currentLeaf - 1); + printf("Number of nodes: %lu\n", _currentNode); + } + } + + ~RegressorNodeVisitor() + { + delete[] _previousNodes; + delete[] _lteChild; + delete[] _gtChild; + delete[] _splitFeature; + delete[] _featureThreshold; + delete[] _leafValues; + } + + size_t _numberOfLeaves; + int * _lteChild; + int * _gtChild; + int * _splitFeature; + FPType * _featureThreshold; + FPType * _leafValues; + + size_t * _previousNodes; + size_t _currentNode; + int _currentLeaf; + size_t _previousLevel; + bool _verbose; +}; + +/* + ### Decision Forest regression wrappers ### + [DllImport(OneDalLibPath, EntryPoint = "decisionForestRegressionCompute")] + public static extern unsafe int DecisionForestRegressionCompute( + void* featuresPtr, void* labelsPtr, long nRows, int nColumns, int numberOfThreads, + float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr) +*/ +template +int decisionForestRegressionComputeTemplate( + FPType * featuresPtr, FPType * labelsPtr, long long nRows, int nColumns, + int numberOfThreads, float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + int * lteChildPtr, int * gtChildPtr, int * splitFeaturePtr, FPType * featureThresholdPtr, FPType * leafValuesPtr, byte* modelPtr) +{ + bool verbose = getVerboseVariable(); + if (verbose) + { + printf("%s\n", "Decision Forest Regression parameters:"); + printf("\t%s - %d\n", "numberOfThreads", numberOfThreads); + printf("\t%s - %d\n", "numberOfTrees", numberOfTrees); + printf("\t%s - %.6f\n", "featureFractionPerSplit", featureFractionPerSplit); + printf("\t%s - %d\n", "featureFractionPerSplit(int)", (int)(nColumns * featureFractionPerSplit)); + printf("\t%s - %d\n", "numberOfLeaves", numberOfLeaves); + printf("\t%s - %d\n", "minimumExampleCountPerLeaf", minimumExampleCountPerLeaf); + printf("\t%s - %d\n", "maxBins", maxBins); + } + + if (numberOfThreads != 0) + Environment::getInstance()->setNumberOfThreads(numberOfThreads); + + NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, nRows)); + NumericTablePtr labelsTable(new HomogenNumericTable(labelsPtr, 1, nRows)); + + decision_forest::regression::training::Batch algorithm; + + algorithm.input.set(decision_forest::regression::training::data, featuresTable); + algorithm.input.set(decision_forest::regression::training::dependentVariable, labelsTable); + + algorithm.parameter().nTrees = numberOfTrees; + algorithm.parameter().observationsPerTreeFraction = 1; + algorithm.parameter().featuresPerNode = (int)(nColumns * featureFractionPerSplit); + algorithm.parameter().maxTreeDepth = 0; // unlimited growth in depth + algorithm.parameter().impurityThreshold = 0; + algorithm.parameter().varImportance = algorithms::decision_forest::training::MDI; + algorithm.parameter().resultsToCompute = algorithms::decision_forest::training::computeOutOfBagError; + algorithm.parameter().bootstrap = true; + algorithm.parameter().minObservationsInLeafNode = minimumExampleCountPerLeaf; + algorithm.parameter().minObservationsInSplitNode = 2; + algorithm.parameter().minWeightFractionInLeafNode = 0; + algorithm.parameter().minImpurityDecreaseInSplitNode = 0; + algorithm.parameter().maxLeafNodes = numberOfLeaves; + algorithm.parameter().maxBins = maxBins; + algorithm.parameter().minBinSize = 5; + + algorithm.compute(); + + decision_forest::regression::training::ResultPtr trainingResult = algorithm.getResult(); + decision_forest::regression::ModelPtr model = trainingResult->get(decision_forest::regression::training::model); + + InputDataArchive dataArch; + trainingResult->serialize(dataArch); + int modelSize = dataArch.getSizeOfArchive(); + dataArch.copyArchiveToArray(modelPtr, modelSize); + + for (size_t i = 0; i < numberOfTrees; ++i) + { + RegressorNodeVisitor visitor(numberOfLeaves, verbose); + model->traverseDFS(i, visitor); + + visitor.copyTreeStructureToBuffers( + lteChildPtr + i * (numberOfLeaves - 1), + gtChildPtr + i * (numberOfLeaves - 1), + splitFeaturePtr + i * (numberOfLeaves - 1), + featureThresholdPtr + i * (numberOfLeaves - 1), + leafValuesPtr + i * numberOfLeaves + ); + + if (verbose) + { + printf("lteChild:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%d ", lteChildPtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("gtChild:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%d ", gtChildPtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("splitFeature:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%d ", splitFeaturePtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("featureThreshold:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%f ", featureThresholdPtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("leafValues:\n"); + for (size_t j = 0; j < numberOfLeaves; ++j) + printf("%f ", leafValuesPtr[i * numberOfLeaves + j]); + printf("\n"); + } + } + + return modelSize; +} + +EXPORT_API(int) decisionForestRegressionCompute( + void * featuresPtr, void * labelsPtr, long long nRows, int nColumns, + int numberOfThreads, float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + void * lteChildPtr, void * gtChildPtr, void * splitFeaturePtr, void * featureThresholdPtr, void * leafValuesPtr, void* modelPtr) +{ + return decisionForestRegressionComputeTemplate( + (float *)featuresPtr, (float *)labelsPtr, nRows, nColumns, + numberOfThreads, featureFractionPerSplit, numberOfTrees, numberOfLeaves, minimumExampleCountPerLeaf, maxBins, + (int *)lteChildPtr, (int *)gtChildPtr, (int *)splitFeaturePtr, (float *)featureThresholdPtr, (float *)leafValuesPtr, (byte *)modelPtr); +} + +/* + Decision Forest classification tree traveler +*/ +template +class ClassifierNodeVisitor : public daal::algorithms::tree_utils::classification::TreeNodeVisitor +{ +public: + ClassifierNodeVisitor(size_t numberOfLeaves, bool verbose) + { + _verbose = verbose; + _numberOfLeaves = numberOfLeaves; + _lteChild = new int[_numberOfLeaves - 1]; + _gtChild = new int[_numberOfLeaves - 1]; + _splitFeature = new int[_numberOfLeaves - 1]; + _featureThreshold = new FPType[_numberOfLeaves - 1]; + _leafValues = new FPType[_numberOfLeaves]; + + _currentNode = 0; + _currentLeaf = -1; + _previousLevel = 0; + _previousNodes = new size_t[1024]; + } + + virtual bool onLeafNode(const tree_utils::classification::LeafNodeDescriptor & desc) + { + // step down + if (desc.level == _previousLevel + 1) + { + _lteChild[_previousNodes[_previousLevel]] = _currentLeaf; + } + // switch to different branch + else + { + _gtChild[_previousNodes[desc.level - 1]] = _currentLeaf; + } + _leafValues[-_currentLeaf - 1] = 1 - 2 * desc.prob[0]; + _previousLevel = desc.level; + _currentLeaf--; + + if (_verbose) + { + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "Level " << desc.level << ", leaf node. Label value = " << desc.label << ", Impurity = " << desc.impurity + << ", Number of samples = " << desc.nNodeSampleCount << ", Probabilities = { "; + for (size_t indexClass = 0; indexClass < 2; ++indexClass) + { + std::cout << desc.prob[indexClass] << ' '; + } + std::cout << "}" << std::endl; + + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "DEBUG: current level " << _previousLevel << " currentLeaf " << _currentLeaf + 1 << " previousNodes"; + for (size_t i = 0; i < desc.level; ++i) + std::cout << " " << _previousNodes[i]; + std::cout << std::endl; + } + return true; + } + + virtual bool onSplitNode(const tree_utils::classification::SplitNodeDescriptor & desc) + { + // step down or root node + if (desc.level == _previousLevel + 1 || desc.level == 0) + { + if (desc.level != 0) + _lteChild[_previousNodes[_previousLevel]] = _currentNode; + } + // switch to different branch + else + { + _gtChild[_previousNodes[desc.level - 1]] = _currentNode; + } + _splitFeature[_currentNode] = desc.featureIndex; + _featureThreshold[_currentNode] = desc.featureValue; + _previousNodes[desc.level] = _currentNode; + _previousLevel = desc.level; + _currentNode++; + + if (_verbose) + { + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "Level " << desc.level << ", split node. Feature index = " << desc.featureIndex << ", feature value = " << desc.featureValue + << ", Impurity = " << desc.impurity << ", Number of samples = " << desc.nNodeSampleCount << std::endl; + + for (size_t i = 0; i < desc.level; ++i) std::cout << " "; + std::cout << "DEBUG: current level " << _previousLevel << " currentNode " << _currentNode - 1 << " previousNodes"; + for (size_t i = 0; i < desc.level; ++i) + std::cout << " " << _previousNodes[i]; + std::cout << std::endl; + } + return true; + } + + void copyTreeStructureToBuffers(int * lteChild, int * gtChild, int * splitFeature, FPType * featureThreshold, FPType * leafValues) + { + for (size_t i = 0; i < _numberOfLeaves - 1; ++i) + { + lteChild[i] = _lteChild[i]; + gtChild[i] = _gtChild[i]; + splitFeature[i] = _splitFeature[i]; + featureThreshold[i] = _featureThreshold[i]; + leafValues[i] = _leafValues[i]; + } + leafValues[_numberOfLeaves - 1] = _leafValues[_numberOfLeaves - 1]; + + if (_verbose) + { + printf("Number of leaves: %d\n", -_currentLeaf - 1); + printf("Number of nodes: %lu\n", _currentNode); + } + } + + ~ClassifierNodeVisitor() + { + delete[] _previousNodes; + delete[] _lteChild; + delete[] _gtChild; + delete[] _splitFeature; + delete[] _featureThreshold; + delete[] _leafValues; + } + + size_t _numberOfLeaves; + int * _lteChild; + int * _gtChild; + int * _splitFeature; + FPType * _featureThreshold; + FPType * _leafValues; + + size_t * _previousNodes; + size_t _currentNode; + int _currentLeaf; + size_t _previousLevel; + bool _verbose; +}; + +/* + ### Decision Forest classification wrappers ### + [DllImport(OneDalLibPath, EntryPoint = "decisionForestClassificationCompute")] + public static extern unsafe int DecisionForestClassificationCompute( + void* featuresPtr, void* labelsPtr, long nRows, int nColumns, int nClasses, int numberOfThreads, + float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr) +*/ +template +int decisionForestClassificationComputeTemplate( + FPType * featuresPtr, FPType * labelsPtr, long long nRows, int nColumns, int nClasses, + int numberOfThreads, float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + int * lteChildPtr, int * gtChildPtr, int * splitFeaturePtr, FPType * featureThresholdPtr, FPType * leafValuesPtr, byte* modelPtr) +{ + bool verbose = getVerboseVariable(); + if (verbose) + { + printf("%s\n", "Decision Forest Classification parameters:"); + printf("\t%s - %d\n", "numberOfThreads", numberOfThreads); + printf("\t%s - %d\n", "numberOfTrees", numberOfTrees); + printf("\t%s - %.6f\n", "featureFractionPerSplit", featureFractionPerSplit); + printf("\t%s - %d\n", "featureFractionPerSplit(int)", (int)(nColumns * featureFractionPerSplit)); + printf("\t%s - %d\n", "numberOfLeaves", numberOfLeaves); + printf("\t%s - %d\n", "minimumExampleCountPerLeaf", minimumExampleCountPerLeaf); + printf("\t%s - %d\n", "maxBins", maxBins); + } + + if (numberOfThreads != 0) + Environment::getInstance()->setNumberOfThreads(numberOfThreads); + + NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, nRows)); + NumericTablePtr labelsTable(new HomogenNumericTable(labelsPtr, 1, nRows)); + + decision_forest::classification::training::Batch algorithm(nClasses); + + algorithm.input.set(classifier::training::data, featuresTable); + algorithm.input.set(classifier::training::labels, labelsTable); + + algorithm.parameter().nTrees = numberOfTrees; + algorithm.parameter().observationsPerTreeFraction = 1; + algorithm.parameter().featuresPerNode = (int)(nColumns * featureFractionPerSplit); + algorithm.parameter().maxTreeDepth = 0; // unlimited growth in depth + algorithm.parameter().impurityThreshold = 0; + algorithm.parameter().varImportance = algorithms::decision_forest::training::MDI; + algorithm.parameter().resultsToCompute = algorithms::decision_forest::training::computeOutOfBagError; + algorithm.parameter().bootstrap = true; + algorithm.parameter().minObservationsInLeafNode = minimumExampleCountPerLeaf; + algorithm.parameter().minObservationsInSplitNode = 2; + algorithm.parameter().minWeightFractionInLeafNode = 0; + algorithm.parameter().minImpurityDecreaseInSplitNode = 0; + algorithm.parameter().maxLeafNodes = numberOfLeaves; + algorithm.parameter().maxBins = maxBins; + algorithm.parameter().minBinSize = 5; + + algorithm.compute(); + + decision_forest::classification::training::ResultPtr trainingResult = algorithm.getResult(); + decision_forest::classification::ModelPtr model = trainingResult->get(classifier::training::model); + + InputDataArchive dataArch; + trainingResult->serialize(dataArch); + int modelSize = dataArch.getSizeOfArchive(); + dataArch.copyArchiveToArray(modelPtr, modelSize); + + for (size_t i = 0; i < numberOfTrees; ++i) + { + ClassifierNodeVisitor visitor(numberOfLeaves, verbose); + model->traverseDFS(i, visitor); + + visitor.copyTreeStructureToBuffers( + lteChildPtr + i * (numberOfLeaves - 1), + gtChildPtr + i * (numberOfLeaves - 1), + splitFeaturePtr + i * (numberOfLeaves - 1), + featureThresholdPtr + i * (numberOfLeaves - 1), + leafValuesPtr + i * numberOfLeaves + ); + + if (verbose) + { + printf("lteChild:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%d ", lteChildPtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("gtChild:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%d ", gtChildPtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("splitFeature:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%d ", splitFeaturePtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("featureThreshold:\n"); + for (size_t j = 0; j < numberOfLeaves - 1; ++j) + printf("%f ", featureThresholdPtr[i * (numberOfLeaves - 1) + j]); + printf("\n"); + + printf("leafValues:\n"); + for (size_t j = 0; j < numberOfLeaves; ++j) + printf("%f ", leafValuesPtr[i * numberOfLeaves + j]); + printf("\n"); + } + } + + return modelSize; +} + +EXPORT_API(int) decisionForestClassificationCompute( + void * featuresPtr, void * labelsPtr, long long nRows, int nColumns, int nClasses, + int numberOfThreads, float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + void * lteChildPtr, void * gtChildPtr, void * splitFeaturePtr, void * featureThresholdPtr, void * leafValuesPtr, void* modelPtr) +{ + return decisionForestClassificationComputeTemplate( + (float *)featuresPtr, (float *)labelsPtr, nRows, nColumns, nClasses, + numberOfThreads, featureFractionPerSplit, numberOfTrees, numberOfLeaves, minimumExampleCountPerLeaf, maxBins, + (int *)lteChildPtr, (int *)gtChildPtr, (int *)splitFeaturePtr, (float *)featureThresholdPtr, (float *)leafValuesPtr, (byte *)modelPtr); +} + +/* + [DllImport(OneDalLibPath, EntryPoint = "decisionForestClassificationPrediction")] + public static extern unsafe double DecisionForestClassificationPrediction( + void* featuresPtr, int nColumns, int nClasses, void* modelPtr, int modelSize); +*/ +template +double decisionForestClassificationPredictionTemplate( + FPType * featuresPtr, int nColumns, int nClasses, byte* modelPtr, int modelSize) +{ + OutputDataArchive dataArch(modelPtr, modelSize); + + decision_forest::classification::training::ResultPtr trainingResult(new decision_forest::classification::training::Result()); + trainingResult->deserialize(dataArch); + + double output; + NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, 1)); + + decision_forest::classification::prediction::Batch algorithm(nClasses); + + algorithm.input.set(classifier::prediction::data, featuresTable); + algorithm.input.set(classifier::prediction::model, trainingResult->get(classifier::training::model)); + + algorithm.parameter().votingMethod = decision_forest::classification::prediction::weighted; + algorithm.parameter().resultsToEvaluate |= static_cast(classifier::computeClassProbabilities); + + algorithm.compute(); + + classifier::prediction::ResultPtr predictionResult = algorithm.getResult(); + + NumericTablePtr predictionTable(predictionResult->get(classifier::prediction::probabilities)); + BlockDescriptor predictionBlock; + predictionTable->getBlockOfRows(0, predictionTable->getNumberOfRows(), readWrite, predictionBlock); + FPType * prediction = predictionBlock.getBlockPtr(); + output = prediction[0]; + predictionTable->releaseBlockOfRows(predictionBlock); + + return output; +} + +EXPORT_API(int) decisionForestClassificationPrediction( + void * featuresPtr, int nColumns, int nClasses, void* modelPtr, int modelSize) +{ + return decisionForestClassificationPredictionTemplate( + (float *)featuresPtr, nColumns, nClasses, (byte *)modelPtr, modelSize); +} + +/* + ### Logistic regression wrapper ### + public unsafe static extern void LogisticRegressionCompute(void* featuresPtr, void* labelsPtr, void* weightsPtr, bool useSampleWeights, void* betaPtr, + long nRows, int nColumns, int nClasses, float l1Reg, float l2Reg, float accuracyThreshold, int nIterations, int m, int nThreads); +*/ +template +void logisticRegressionLBFGSComputeTemplate(FPType * featuresPtr, int * labelsPtr, FPType * weightsPtr, bool useSampleWeights, FPType * betaPtr, + long long nRows, int nColumns, int nClasses, float l1Reg, float l2Reg, float accuracyThreshold, int nIterations, int m, int nThreads) +{ + bool verbose = getVerboseVariable(); + if (verbose) + { + printf("%s\n", "Logistic Regression parameters:"); + printf("%s - %.12f\n", "l1Reg", l1Reg); + printf("%s - %.12f\n", "l2Reg", l2Reg); + printf("%s - %.12f\n", "accuracyThreshold", accuracyThreshold); + printf("%s - %d\n", "nIterations", nIterations); + printf("%s - %d\n", "m", m); + printf("%s - %d\n", "nClasses", nClasses); + printf("%s - %d\n", "nThreads", nThreads); + + const size_t nThreadsOld = Environment::getInstance()->getNumberOfThreads(); + printf("%s - %zd\n", "nThreadsOld", nThreadsOld); //Note: %lu cause compilation error, modify to %d + } + + Environment::getInstance()->setNumberOfThreads(nThreads); + + NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, nRows)); + NumericTablePtr labelsTable(new HomogenNumericTable(labelsPtr, 1, nRows)); + NumericTablePtr weightsTable(new HomogenNumericTable(weightsPtr, 1, nRows)); + + SharedPtr> lbfgsAlgorithm(new optimization_solver::lbfgs::Batch()); + lbfgsAlgorithm->parameter.batchSize = featuresTable->getNumberOfRows(); + lbfgsAlgorithm->parameter.correctionPairBatchSize = featuresTable->getNumberOfRows(); + lbfgsAlgorithm->parameter.L = 1; + lbfgsAlgorithm->parameter.m = m; + lbfgsAlgorithm->parameter.accuracyThreshold = accuracyThreshold; + lbfgsAlgorithm->parameter.nIterations = nIterations; + + if (nClasses == 1) + { + SharedPtr> logLoss(new optimization_solver::logistic_loss::Batch(featuresTable->getNumberOfRows())); + logLoss->parameter().numberOfTerms = featuresTable->getNumberOfRows(); + logLoss->parameter().interceptFlag = true; + logLoss->parameter().penaltyL1 = l1Reg; + logLoss->parameter().penaltyL2 = l2Reg; + + lbfgsAlgorithm->parameter.function = logLoss; + } + else + { + SharedPtr> crossEntropyLoss(new optimization_solver::cross_entropy_loss::Batch(nClasses, featuresTable->getNumberOfRows())); + crossEntropyLoss->parameter().numberOfTerms = featuresTable->getNumberOfRows(); + crossEntropyLoss->parameter().interceptFlag = true; + crossEntropyLoss->parameter().penaltyL1 = l1Reg; + crossEntropyLoss->parameter().penaltyL2 = l2Reg; + crossEntropyLoss->parameter().nClasses = nClasses; + + lbfgsAlgorithm->parameter.function = crossEntropyLoss; + } + + logistic_regression::training::Batch trainingAlgorithm(nClasses == 1 ? 2 : nClasses); + trainingAlgorithm.parameter().optimizationSolver = lbfgsAlgorithm; + trainingAlgorithm.parameter().penaltyL1 = l1Reg; + trainingAlgorithm.parameter().penaltyL2 = l2Reg; + trainingAlgorithm.parameter().interceptFlag = true; + + trainingAlgorithm.input.set(classifier::training::data, featuresTable); + trainingAlgorithm.input.set(classifier::training::labels, labelsTable); + if (useSampleWeights) + { + trainingAlgorithm.input.set(classifier::training::weights, weightsTable); + } + + trainingAlgorithm.compute(); + + logistic_regression::training::ResultPtr trainingResult = trainingAlgorithm.getResult(); + logistic_regression::ModelPtr modelPtr = trainingResult->get(classifier::training::model); + + NumericTablePtr betaTable = modelPtr->getBeta(); + if (betaTable->getNumberOfRows() != nClasses) + { + printf("Wrong number of classes in beta table\n"); + } + if (betaTable->getNumberOfColumns() != nColumns + 1) + { + printf("Wrong number of features in beta table\n"); + } + + BlockDescriptor betaBlock; + betaTable->getBlockOfRows(0, betaTable->getNumberOfRows(), readWrite, betaBlock); + FPType * betaForCopy = betaBlock.getBlockPtr(); + for (size_t i = 0; i < nClasses; ++i) + { + betaPtr[i] = betaForCopy[i * (nColumns + 1)]; + } + for (size_t i = 0; i < nClasses; ++i) + { + for (size_t j = 1; j < nColumns + 1; ++j) + { + betaPtr[nClasses + i * nColumns + j - 1] = betaForCopy[i * (nColumns + 1) + j]; + } + } + + if (verbose) + { + optimization_solver::iterative_solver::ResultPtr solverResult = lbfgsAlgorithm->getResult(); + NumericTablePtr nIterationsTable = solverResult->get(optimization_solver::iterative_solver::nIterations); + BlockDescriptor nIterationsBlock; + nIterationsTable->getBlockOfRows(0, 1, readWrite, nIterationsBlock); + int * nIterationsPtr = nIterationsBlock.getBlockPtr(); + + printf("Solver iterations: %d\n", nIterationsPtr[0]); + + logistic_regression::prediction::Batch predictionAlgorithm(nClasses == 1 ? 2 : nClasses); + // predictionAlgorithm.parameter().resultsToEvaluate |= + // static_cast(classifier::computeClassProbabilities); + predictionAlgorithm.input.set(classifier::prediction::data, featuresTable); + predictionAlgorithm.input.set(classifier::prediction::model, modelPtr); + predictionAlgorithm.compute(); + NumericTablePtr predictionsTable = predictionAlgorithm.getResult()->get(classifier::prediction::prediction); + BlockDescriptor predictionsBlock; + predictionsTable->getBlockOfRows(0, nRows, readWrite, predictionsBlock); + int * predictions = predictionsBlock.getBlockPtr(); + FPType accuracy = 0; + for (long i = 0; i < nRows; ++i) + { + if (predictions[i] == labelsPtr[i]) + { + accuracy += 1.0; + } + } + accuracy /= nRows; + predictionsTable->releaseBlockOfRows(predictionsBlock); + nIterationsTable->releaseBlockOfRows(nIterationsBlock); + printf("oneDAL LogReg traning accuracy: %f\n", accuracy); + } + + betaTable->releaseBlockOfRows(betaBlock); + +} + +EXPORT_API(void) logisticRegressionLBFGSCompute(void * featuresPtr, void * labelsPtr, void * weightsPtr, bool useSampleWeights, void * betaPtr, + long long nRows, int nColumns, int nClasses, float l1Reg, float l2Reg, float accuracyThreshold, int nIterations, int m, int nThreads) +{ + return logisticRegressionLBFGSComputeTemplate((float *)featuresPtr, (int *)labelsPtr, (float *)weightsPtr, useSampleWeights, (float *)betaPtr, + nRows, nColumns, nClasses, l1Reg, l2Reg, accuracyThreshold, nIterations, m, nThreads); +} + +/* + ### Ridge regression wrapper ### + [DllImport(OneDalLibPath, EntryPoint = "ridgeRegressionOnlineCompute")] + public unsafe static extern int RidgeRegressionOnlineCompute(void* featuresPtr, void* labelsPtr, int nRows, int nColumns, float l2Reg, void* partialResultPtr, int partialResultSize); + [DllImport(OneDalLibPath, EntryPoint = "ridgeRegressionOnlineFinalize")] + public unsafe static extern void RidgeRegressionOnlineFinalize(void* featuresPtr, void* labelsPtr, long nAllRows, int nRows, int nColumns, float l2Reg, void* partialResultPtr, int partialResultSize, + void* betaPtr, void* xtyPtr, void* xtxPtr); +*/ +template +int ridgeRegressionOnlineComputeTemplate(FPType * featuresPtr, FPType * labelsPtr, int nRows, int nColumns, float l2Reg, byte * partialResultPtr, int partialResultSize) +{ + // Create input data tables + NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, nRows)); + NumericTablePtr labelsTable(new HomogenNumericTable(labelsPtr, 1, nRows)); + FPType l2 = l2Reg; + NumericTablePtr l2RegTable(new HomogenNumericTable(&l2, 1, 1)); + + // Set up and execute training + ridge_regression::training::Online trainingAlgorithm; + trainingAlgorithm.parameter.ridgeParameters = l2RegTable; + + ridge_regression::training::PartialResultPtr pRes(new ridge_regression::training::PartialResult); + if (partialResultSize != 0) + { + OutputDataArchive dataArch(partialResultPtr, partialResultSize); + pRes->deserialize(dataArch); + trainingAlgorithm.setPartialResult(pRes); + } + + trainingAlgorithm.input.set(ridge_regression::training::data, featuresTable); + trainingAlgorithm.input.set(ridge_regression::training::dependentVariables, labelsTable); + trainingAlgorithm.compute(); + + // Serialize partial result + pRes = trainingAlgorithm.getPartialResult(); + InputDataArchive dataArch; + pRes->serialize(dataArch); + partialResultSize = (int)dataArch.getSizeOfArchive(); + dataArch.copyArchiveToArray(partialResultPtr, (size_t)partialResultSize); + + return partialResultSize; +} + +template +void ridgeRegressionOnlineFinalizeTemplate(FPType * featuresPtr, FPType * labelsPtr, long long int nAllRows, int nRows, int nColumns, float l2Reg, byte * partialResultPtr, int partialResultSize, + FPType * betaPtr, FPType * xtyPtr, FPType * xtxPtr) +{ + NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, nRows)); + NumericTablePtr labelsTable(new HomogenNumericTable(labelsPtr, 1, nRows)); + FPType l2 = l2Reg; + NumericTablePtr l2RegTable(new HomogenNumericTable(&l2, 1, 1)); + + ridge_regression::training::Online trainingAlgorithm; + + ridge_regression::training::PartialResultPtr pRes(new ridge_regression::training::PartialResult); + if (partialResultSize != 0) + { + OutputDataArchive dataArch(partialResultPtr, partialResultSize); + pRes->deserialize(dataArch); + trainingAlgorithm.setPartialResult(pRes); + } + + trainingAlgorithm.parameter.ridgeParameters = l2RegTable; + + trainingAlgorithm.input.set(ridge_regression::training::data, featuresTable); + trainingAlgorithm.input.set(ridge_regression::training::dependentVariables, labelsTable); + trainingAlgorithm.compute(); + trainingAlgorithm.finalizeCompute(); + + ridge_regression::training::ResultPtr trainingResult = trainingAlgorithm.getResult(); + ridge_regression::ModelNormEq * model = static_cast(trainingResult->get(ridge_regression::training::model).get()); + + NumericTablePtr xtxTable = model->getXTXTable(); + const size_t nBeta = xtxTable->getNumberOfRows(); + BlockDescriptor xtxBlock; + xtxTable->getBlockOfRows(0, nBeta, readWrite, xtxBlock); + FPType * xtx = xtxBlock.getBlockPtr(); + + size_t offset = 0; + for (size_t i = 0; i < nBeta; ++i) + { + for (size_t j = 0; j <= i; ++j) + { + xtxPtr[offset] = xtx[i * nBeta + j]; + offset++; + } + } + offset = 0; + for (size_t i = 0; i < nBeta; ++i) + { + xtxPtr[offset] += l2Reg * l2Reg * nAllRows; + offset += i + 2; + } + + NumericTablePtr xtyTable = model->getXTYTable(); + BlockDescriptor xtyBlock; + xtyTable->getBlockOfRows(0, xtyTable->getNumberOfRows(), readWrite, xtyBlock); + FPType * xty = xtyBlock.getBlockPtr(); + for (size_t i = 0; i < nBeta; ++i) + { + xtyPtr[i] = xty[i]; + } + + NumericTablePtr betaTable = trainingResult->get(ridge_regression::training::model)->getBeta(); + BlockDescriptor betaBlock; + betaTable->getBlockOfRows(0, 1, readWrite, betaBlock); + FPType * betaForCopy = betaBlock.getBlockPtr(); + for (size_t i = 0; i < nBeta; ++i) + { + betaPtr[i] = betaForCopy[i]; + } + + xtxTable->releaseBlockOfRows(xtxBlock); + xtyTable->releaseBlockOfRows(xtyBlock); + betaTable->releaseBlockOfRows(betaBlock); +} + +EXPORT_API(int) ridgeRegressionOnlineCompute(void * featuresPtr, void * labelsPtr, int nRows, int nColumns, float l2Reg, void * partialResultPtr, int partialResultSize) +{ + return ridgeRegressionOnlineComputeTemplate((double *)featuresPtr, (double *)labelsPtr, nRows, nColumns, l2Reg, (byte *)partialResultPtr, partialResultSize); +} + +EXPORT_API(void) ridgeRegressionOnlineFinalize(void * featuresPtr, void * labelsPtr, long long int nAllRows, int nRows, int nColumns, float l2Reg, void * partialResultPtr, int partialResultSize, + void * betaPtr, void * xtyPtr, void * xtxPtr) +{ + ridgeRegressionOnlineFinalizeTemplate((double *)featuresPtr, (double *)labelsPtr, nAllRows, nRows, nColumns, l2Reg, (byte *)partialResultPtr, partialResultSize, + (double *)betaPtr, (double *)xtyPtr, (double *)xtxPtr); +} diff --git a/src/Native/build.cmd b/src/Native/build.cmd index 3a2dcac82a..29dbdec9ea 100644 --- a/src/Native/build.cmd +++ b/src/Native/build.cmd @@ -16,6 +16,7 @@ set __BuildArch=x64 set __VCBuildArch=x86_amd64 set CMAKE_BUILD_TYPE=Debug set MKL_LIB_PATH="" +set ONEDAL_LIB_PATH="" :Arg_Loop if [%1] == [] goto :ToolsVersion @@ -29,6 +30,7 @@ if /i [%1] == [arm] ( set __BuildArch=arm&&set __VCBuildArch=x86_arm&&sh if /i [%1] == [arm64] ( set __BuildArch=arm64&&set __VCBuildArch=x86_arm64&&shift&goto Arg_Loop) if /i [%1] == [--mkllibpath] ( set MKL_LIB_PATH=%2&&shift&goto Arg_Loop) +if /i [%1] == [--onedallibpath] ( set ONEDAL_LIB_PATH=%2&&shift&goto Arg_Loop) shift goto :Arg_Loop diff --git a/src/Native/build.sh b/src/Native/build.sh index 15f01848d8..00b56eec71 100755 --- a/src/Native/build.sh +++ b/src/Native/build.sh @@ -10,6 +10,7 @@ usage() echo " --configuration Build Configuration (Debug, Release)" echo " --stripSymbols Enable symbol stripping (to external file)" echo " --mkllibpath Path to mkl library." + echo " --onedallibpath Path to oneDAL library." exit 1 } @@ -30,6 +31,7 @@ __baseIntermediateOutputPath="$RootRepo/artifacts/obj" __versionSourceFile="$__baseIntermediateOutputPath/version.c" __mkllibpath="" __mkllibrpath="" +__onedallibpath="" while [ "$1" != "" ]; do lowerI="$(echo $1 | awk '{print tolower($0)}')" @@ -54,6 +56,10 @@ while [ "$1" != "" ]; do shift __mkllibrpath=$1 ;; + --onedallibpath) + shift + __onedallibpath=$1 + ;; --stripsymbols) __strip_argument="-DSTRIP_SYMBOLS=true" ;; @@ -73,6 +79,10 @@ if [ -n "$__mkllibrpath" ]; then __cmake_defines="${__cmake_defines} -DMKL_LIB_RPATH=${__mkllibrpath}" fi +if [ -n "$__onedallibpath" ]; then + __cmake_defines="${__cmake_defines} -DONEDAL_LIB_PATH=${__onedallibpath}" +fi + __IntermediatesDir="$__baseIntermediateOutputPath/Native/$__build_arch.$__configuration" __BinDir="$__rootBinPath/Native/$__build_arch.$__configuration" diff --git a/src/Native/gen-buildsys-win.bat b/src/Native/gen-buildsys-win.bat index 62ef6c4967..b04df9f85e 100644 --- a/src/Native/gen-buildsys-win.bat +++ b/src/Native/gen-buildsys-win.bat @@ -30,7 +30,7 @@ if /i "%3" == "x64" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A x64) if /i "%3" == "x86" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A Win32) if /i "%3" == "arm64" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A arm64) if /i "%3" == "arm" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A arm) -"%CMakePath%" "-DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE%" "-DCMAKE_INSTALL_PREFIX=%__CMakeBinDir%" "-DMKL_LIB_PATH=%MKL_LIB_PATH%" "-DARCHITECTURE=%3" -G "Visual Studio %__VSString%" %__ExtraCmakeParams% -B. -H%1 +"%CMakePath%" "-DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE%" "-DCMAKE_INSTALL_PREFIX=%__CMakeBinDir%" "-DMKL_LIB_PATH=%MKL_LIB_PATH%" "-DONEDAL_LIB_PATH=%ONEDAL_LIB_PATH%" "-DARCHITECTURE=%3" -G "Visual Studio %__VSString%" %__ExtraCmakeParams% -B. -H%1 endlocal GOTO :DONE From df4caed9aa360be13ce9857e9e394de25a153a6f Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 10:20:54 +0000 Subject: [PATCH 03/60] oneDAL Decision Forest integration --- .../RandomForestClassification.cs | 116 +++++++++++++++++- .../RandomForestRegression.cs | 115 ++++++++++++++++- .../InternalQuantileRegressionTree.cs | 8 ++ .../TreeEnsemble/InternalRegressionTree.cs | 31 ++++- 4 files changed, 266 insertions(+), 4 deletions(-) diff --git a/src/Microsoft.ML.FastTree/RandomForestClassification.cs b/src/Microsoft.ML.FastTree/RandomForestClassification.cs index ec7846f7dc..a141933c5c 100644 --- a/src/Microsoft.ML.FastTree/RandomForestClassification.cs +++ b/src/Microsoft.ML.FastTree/RandomForestClassification.cs @@ -4,7 +4,10 @@ using System; using System.Linq; +using System.Collections.Generic; +using System.Runtime.InteropServices; using Microsoft.ML; +using Microsoft.ML.Internal.Utilities; using Microsoft.ML.Calibrators; using Microsoft.ML.CommandLine; using Microsoft.ML.Data; @@ -12,6 +15,7 @@ using Microsoft.ML.Model; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers.FastTree; +using Microsoft.ML.OneDal; [assembly: LoadableClass(FastForestBinaryTrainer.Summary, typeof(FastForestBinaryTrainer), typeof(FastForestBinaryTrainer.Options), new[] { typeof(SignatureBinaryClassifierTrainer), typeof(SignatureTrainer), typeof(SignatureTreeEnsembleTrainer), typeof(SignatureFeatureScorerTrainer) }, @@ -219,7 +223,24 @@ private protected override FastForestBinaryModelParameters TrainModelCore(TrainC trainData.CheckOptFloatWeight(); FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount(); ConvertData(trainData); - TrainCore(ch); + + if (!trainData.Schema.Weight.HasValue && OneDalUtils.IsDispatchingEnabled()) + { + if (FastTreeTrainerOptions.FeatureFraction != 1.0) + { + ch.Warning($"oneDAL decision forest doesn't support 'FeatureFraction'[per tree] != 1.0, changing it from {FastTreeTrainerOptions.FeatureFraction} to 1.0"); + FastTreeTrainerOptions.FeatureFraction = 1.0; + } + CursOpt cursorOpt = CursOpt.Label | CursOpt.Features; + var cursorFactory = new FloatLabelCursor.Factory(trainData, cursorOpt); + TrainCoreOneDal(ch, cursorFactory, FeatureCount); + if (FeatureMap != null) + TrainedEnsemble.RemapFeatures(FeatureMap); + } + else + { + TrainCore(ch); + } } // LogitBoost is naturally calibrated to // output probabilities when transformed using @@ -230,6 +251,99 @@ private protected override FastForestBinaryModelParameters TrainModelCore(TrainC return new FastForestBinaryModelParameters(Host, TrainedEnsemble, FeatureCount, InnerOptions); } + internal static class OneDal + { + private const string OneDalLibPath = "OneDalNative"; + + [DllImport(OneDalLibPath, EntryPoint = "decisionForestClassificationCompute")] + public static extern unsafe int DecisionForestClassificationCompute( + void* featuresPtr, void* labelsPtr, long nRows, int nColumns, int nClasses, int numberOfThreads, + float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); + } + + private protected void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) + { + CheckOptions(ch); + Initialize(ch); + + List featuresList = new List(); + List labelsList = new List(); + int nClasses = 2; + int numberOfLeaves = FastTreeTrainerOptions.NumberOfLeaves; + int numberOfTrees = FastTreeTrainerOptions.NumberOfTrees; + + int numberOfThreads = 0; + if (FastTreeTrainerOptions.NumberOfThreads.HasValue) + numberOfThreads = FastTreeTrainerOptions.NumberOfThreads.Value; + + long n = OneDalUtils.GetTrainData(ch, cursorFactory, ref featuresList, ref labelsList, featureCount); + + float[] featuresArray = featuresList.ToArray(); + float[] labelsArray = labelsList.ToArray(); + + int[] lteChildArray = new int[(numberOfLeaves - 1) * numberOfTrees]; + int[] gtChildArray = new int[(numberOfLeaves - 1) * numberOfTrees]; + int[] splitFeatureArray = new int[(numberOfLeaves - 1) * numberOfTrees]; + float[] featureThresholdArray = new float[(numberOfLeaves - 1) * numberOfTrees]; + float[] leafValuesArray = new float[numberOfLeaves * numberOfTrees]; + + int oneDalModelSize = -1; + int projectedOneDalModelSize = 96 * nClasses * numberOfLeaves * numberOfTrees + 4096 * 16; + byte[] oneDalModel = new byte[projectedOneDalModelSize]; + + unsafe + { +#pragma warning disable MSML_SingleVariableDeclaration // Have only a single variable present per declaration + fixed (void* featuresPtr = &featuresArray[0], labelsPtr = &labelsArray[0], + lteChildPtr = <eChildArray[0], gtChildPtr = >ChildArray[0], splitFeaturePtr = &splitFeatureArray[0], + featureThresholdPtr = &featureThresholdArray[0], leafValuesPtr = &leafValuesArray[0], oneDalModelPtr = &oneDalModel[0]) +#pragma warning restore MSML_SingleVariableDeclaration // Have only a single variable present per declaration + { + oneDalModelSize = OneDal.DecisionForestClassificationCompute(featuresPtr, labelsPtr, n, featureCount, nClasses, + numberOfThreads, (float)FastTreeTrainerOptions.FeatureFractionPerSplit, numberOfTrees, + numberOfLeaves, FastTreeTrainerOptions.MinimumExampleCountPerLeaf, FastTreeTrainerOptions.MaximumBinCountPerFeature, + lteChildPtr, gtChildPtr, splitFeaturePtr, featureThresholdPtr, leafValuesPtr, oneDalModelPtr + ); + } + } + TrainedEnsemble = new InternalTreeEnsemble(); + for (int i = 0; i < numberOfTrees; ++i) + { + int[] lteChildArrayPerTree = new int[numberOfLeaves - 1]; + int[] gtChildArrayPerTree = new int[numberOfLeaves - 1]; + int[] splitFeatureArrayPerTree = new int[numberOfLeaves - 1]; + float[] featureThresholdArrayPerTree = new float[numberOfLeaves - 1]; + double[] leafValuesArrayPerTree = new double[numberOfLeaves]; + + int[][] categoricalSplitFeaturesPerTree = new int[numberOfLeaves - 1][]; + bool[] categoricalSplitPerTree = new bool[numberOfLeaves - 1]; + double[] splitGainPerTree = new double[numberOfLeaves - 1]; + float[] defaultValueForMissingPerTree = new float[numberOfLeaves - 1]; + + for (int j = 0; j < numberOfLeaves - 1; ++j) + { + lteChildArrayPerTree[j] = lteChildArray[(numberOfLeaves - 1) * i + j]; + gtChildArrayPerTree[j] = gtChildArray[(numberOfLeaves - 1) * i + j]; + splitFeatureArrayPerTree[j] = splitFeatureArray[(numberOfLeaves - 1) * i + j]; + featureThresholdArrayPerTree[j] = featureThresholdArray[(numberOfLeaves - 1) * i + j]; + leafValuesArrayPerTree[j] = leafValuesArray[numberOfLeaves * i + j]; + + categoricalSplitFeaturesPerTree[j] = null; + categoricalSplitPerTree[j] = false; + splitGainPerTree[j] = 0.0; + defaultValueForMissingPerTree[j] = 0.0f; + } + leafValuesArrayPerTree[numberOfLeaves - 1] = leafValuesArray[numberOfLeaves * i + numberOfLeaves - 1]; + + InternalQuantileRegressionTree newTree = new InternalQuantileRegressionTree(splitFeatureArrayPerTree, splitGainPerTree, null, + featureThresholdArrayPerTree, defaultValueForMissingPerTree, lteChildArrayPerTree, gtChildArrayPerTree, leafValuesArrayPerTree, + categoricalSplitFeaturesPerTree, categoricalSplitPerTree); + newTree.PopulateThresholds(TrainSet); + TrainedEnsemble.AddTree(newTree); + } + } + private protected override ObjectiveFunctionBase ConstructObjFunc(IChannel ch) { return new ObjectiveFunctionImpl(TrainSet, _trainSetLabels, FastTreeTrainerOptions); diff --git a/src/Microsoft.ML.FastTree/RandomForestRegression.cs b/src/Microsoft.ML.FastTree/RandomForestRegression.cs index 4410fc7d7c..246957ada1 100644 --- a/src/Microsoft.ML.FastTree/RandomForestRegression.cs +++ b/src/Microsoft.ML.FastTree/RandomForestRegression.cs @@ -3,6 +3,9 @@ // See the LICENSE file in the project root for more information. using System; +using System.Linq; +using System.Collections.Generic; +using System.Runtime.InteropServices; using Microsoft.ML; using Microsoft.ML.CommandLine; using Microsoft.ML.Data; @@ -12,6 +15,7 @@ using Microsoft.ML.Model.OnnxConverter; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers.FastTree; +using Microsoft.ML.OneDal; [assembly: LoadableClass(FastForestRegressionTrainer.Summary, typeof(FastForestRegressionTrainer), typeof(FastForestRegressionTrainer.Options), new[] { typeof(SignatureRegressorTrainer), typeof(SignatureTrainer), typeof(SignatureTreeEnsembleTrainer), typeof(SignatureFeatureScorerTrainer) }, @@ -358,11 +362,120 @@ private protected override FastForestRegressionModelParameters TrainModelCore(Tr trainData.CheckOptFloatWeight(); FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount(); ConvertData(trainData); - TrainCore(ch); + + if (!trainData.Schema.Weight.HasValue && OneDalUtils.IsDispatchingEnabled()) + { + if (FastTreeTrainerOptions.FeatureFraction != 1.0) + { + ch.Warning($"oneDAL decision forest doesn't support 'FeatureFraction'[per tree] != 1.0, changing it from {FastTreeTrainerOptions.FeatureFraction} to 1.0"); + FastTreeTrainerOptions.FeatureFraction = 1.0; + } + CursOpt cursorOpt = CursOpt.Label | CursOpt.Features; + var cursorFactory = new FloatLabelCursor.Factory(trainData, cursorOpt); + TrainCoreOneDal(ch, cursorFactory, FeatureCount); + if (FeatureMap != null) + TrainedEnsemble.RemapFeatures(FeatureMap); + } + else + { + TrainCore(ch); + } } return new FastForestRegressionModelParameters(Host, TrainedEnsemble, FeatureCount, InnerOptions, FastTreeTrainerOptions.NumberOfQuantileSamples); } + internal static class OneDal + { + private const string OneDalLibPath = "OneDalNative"; + + [DllImport(OneDalLibPath, EntryPoint = "decisionForestRegressionCompute")] + public static extern unsafe int DecisionForestRegressionCompute( + void* featuresPtr, void* labelsPtr, long nRows, int nColumns, int numberOfThreads, + float featureFractionPerSplit, int numberOfTrees, int numberOfLeaves, int minimumExampleCountPerLeaf, int maxBins, + void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); + } + + private protected void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) + { + CheckOptions(ch); + Initialize(ch); + + List featuresList = new List(); + List labelsList = new List(); + int numberOfLeaves = FastTreeTrainerOptions.NumberOfLeaves; + int numberOfTrees = FastTreeTrainerOptions.NumberOfTrees; + + int numberOfThreads = 0; + if (FastTreeTrainerOptions.NumberOfThreads.HasValue) + numberOfThreads = FastTreeTrainerOptions.NumberOfThreads.Value; + + long n = OneDalUtils.GetTrainData(ch, cursorFactory, ref featuresList, ref labelsList, featureCount); + + float[] featuresArray = featuresList.ToArray(); + float[] labelsArray = labelsList.ToArray(); + + int[] lteChildArray = new int[(numberOfLeaves - 1) * numberOfTrees]; + int[] gtChildArray = new int[(numberOfLeaves - 1) * numberOfTrees]; + int[] splitFeatureArray = new int[(numberOfLeaves - 1) * numberOfTrees]; + float[] featureThresholdArray = new float[(numberOfLeaves - 1) * numberOfTrees]; + float[] leafValuesArray = new float[numberOfLeaves * numberOfTrees]; + + int oneDalModelSize = -1; + int projectedOneDalModelSize = 96 * 1 * numberOfLeaves * numberOfTrees + 4096 * 16; + byte[] oneDalModel = new byte[projectedOneDalModelSize]; + + unsafe + { +#pragma warning disable MSML_SingleVariableDeclaration // Have only a single variable present per declaration + fixed (void* featuresPtr = &featuresArray[0], labelsPtr = &labelsArray[0], + lteChildPtr = <eChildArray[0], gtChildPtr = >ChildArray[0], splitFeaturePtr = &splitFeatureArray[0], + featureThresholdPtr = &featureThresholdArray[0], leafValuesPtr = &leafValuesArray[0], oneDalModelPtr = &oneDalModel[0]) +#pragma warning restore MSML_SingleVariableDeclaration // Have only a single variable present per declaration + { + oneDalModelSize = OneDal.DecisionForestRegressionCompute(featuresPtr, labelsPtr, n, featureCount, + numberOfThreads, (float)FastTreeTrainerOptions.FeatureFractionPerSplit, numberOfTrees, + numberOfLeaves, FastTreeTrainerOptions.MinimumExampleCountPerLeaf, FastTreeTrainerOptions.MaximumBinCountPerFeature, + lteChildPtr, gtChildPtr, splitFeaturePtr, featureThresholdPtr, leafValuesPtr, oneDalModelPtr + ); + } + } + TrainedEnsemble = new InternalTreeEnsemble(); + for (int i = 0; i < numberOfTrees; ++i) + { + int[] lteChildArrayPerTree = new int[numberOfLeaves - 1]; + int[] gtChildArrayPerTree = new int[numberOfLeaves - 1]; + int[] splitFeatureArrayPerTree = new int[numberOfLeaves - 1]; + float[] featureThresholdArrayPerTree = new float[numberOfLeaves - 1]; + double[] leafValuesArrayPerTree = new double[numberOfLeaves]; + + int[][] categoricalSplitFeaturesPerTree = new int[numberOfLeaves - 1][]; + bool[] categoricalSplitPerTree = new bool[numberOfLeaves - 1]; + double[] splitGainPerTree = new double[numberOfLeaves - 1]; + float[] defaultValueForMissingPerTree = new float[numberOfLeaves - 1]; + + for (int j = 0; j < numberOfLeaves - 1; ++j) + { + lteChildArrayPerTree[j] = lteChildArray[(numberOfLeaves - 1) * i + j]; + gtChildArrayPerTree[j] = gtChildArray[(numberOfLeaves - 1) * i + j]; + splitFeatureArrayPerTree[j] = splitFeatureArray[(numberOfLeaves - 1) * i + j]; + featureThresholdArrayPerTree[j] = featureThresholdArray[(numberOfLeaves - 1) * i + j]; + leafValuesArrayPerTree[j] = leafValuesArray[numberOfLeaves * i + j]; + + categoricalSplitFeaturesPerTree[j] = null; + categoricalSplitPerTree[j] = false; + splitGainPerTree[j] = 0.0; + defaultValueForMissingPerTree[j] = 0.0f; + } + leafValuesArrayPerTree[numberOfLeaves - 1] = leafValuesArray[numberOfLeaves * i + numberOfLeaves - 1]; + + InternalQuantileRegressionTree newTree = new InternalQuantileRegressionTree(splitFeatureArrayPerTree, splitGainPerTree, null, + featureThresholdArrayPerTree, defaultValueForMissingPerTree, lteChildArrayPerTree, gtChildArrayPerTree, leafValuesArrayPerTree, + categoricalSplitFeaturesPerTree, categoricalSplitPerTree); + newTree.PopulateThresholds(TrainSet); + TrainedEnsemble.AddTree(newTree); + } + } + private protected override void PrepareLabels(IChannel ch) { } diff --git a/src/Microsoft.ML.FastTree/TreeEnsemble/InternalQuantileRegressionTree.cs b/src/Microsoft.ML.FastTree/TreeEnsemble/InternalQuantileRegressionTree.cs index e5ae4776ed..c193029668 100644 --- a/src/Microsoft.ML.FastTree/TreeEnsemble/InternalQuantileRegressionTree.cs +++ b/src/Microsoft.ML.FastTree/TreeEnsemble/InternalQuantileRegressionTree.cs @@ -29,6 +29,14 @@ public InternalQuantileRegressionTree(int maxLeaves) { } + public InternalQuantileRegressionTree(int[] splitFeatures, double[] splitGain, double[] gainPValue, + float[] rawThresholds, float[] defaultValueForMissing, int[] lteChild, int[] gtChild, double[] leafValues, + int[][] categoricalSplitFeatures, bool[] categoricalSplit) + : base(splitFeatures, splitGain, gainPValue, rawThresholds, defaultValueForMissing, + lteChild, gtChild, leafValues, categoricalSplitFeatures, categoricalSplit) + { + } + internal InternalQuantileRegressionTree(ModelLoadContext ctx, bool usingDefaultValue, bool categoricalSplits) : base(ctx, usingDefaultValue, categoricalSplits) { diff --git a/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs b/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs index bdfaabdcde..e325861e2f 100644 --- a/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs +++ b/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs @@ -51,7 +51,7 @@ internal class InternalRegressionTree /// public int[][] CategoricalSplitFeatureRanges; // These are the thresholds based on the binned values of the raw features. - public uint[] Thresholds { get; } + public uint[] Thresholds { get; private set; } // These are the thresholds based on the raw feature values. Populated after training. public float[] RawThresholds { get; private set; } public double[] SplitGains { get { return _splitGain; } } @@ -189,7 +189,7 @@ public static InternalRegressionTree Create(int numLeaves, int[] splitFeatures, } } - internal InternalRegressionTree(int[] splitFeatures, double[] splitGain, double[] gainPValue, + protected InternalRegressionTree(int[] splitFeatures, double[] splitGain, double[] gainPValue, float[] rawThresholds, float[] defaultValueForMissing, int[] lteChild, int[] gtChild, double[] leafValues, int[][] categoricalSplitFeatures, bool[] categoricalSplit) : this() @@ -201,6 +201,7 @@ internal InternalRegressionTree(int[] splitFeatures, double[] splitGain, double[ _splitGain = splitGain; _gainPValue = gainPValue; RawThresholds = rawThresholds; + Thresholds = new uint[NumLeaves - 1]; DefaultValueForMissing = defaultValueForMissing; LteChild = lteChild; GtChild = gtChild; @@ -1099,6 +1100,32 @@ public void PopulateRawThresholds(Dataset dataset) } } + public void PopulateThresholds(Dataset dataset) + { + var features = dataset.Flocks; + + int numNodes = NumLeaves - 1; + for (int n = 0; n < numNodes; n++) + { + int flock; + int subfeature; + dataset.MapFeatureToFlockAndSubFeature(SplitFeatures[n], out flock, out subfeature); + if (CategoricalSplit[n] == false) + { + uint numBins = (uint)dataset.Flocks[flock].BinUpperBounds(subfeature).Length; + for (uint i = 1; i < numBins; ++i) + { + double rawThreshold = dataset.Flocks[flock].BinUpperBounds(subfeature)[i]; + if (RawThresholds[n] < rawThreshold) + { + Thresholds[n] = i; + break; + } + } + } + } + } + public void RemapFeatures(int[] oldToNewFeatures) { Contracts.AssertValue(oldToNewFeatures); From 646cfcd5103a834866e0f37b760469540159cc43 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 10:21:12 +0000 Subject: [PATCH 04/60] oneDAL Linear Models --- .../OlsLinearRegression.cs | 185 +++++++++++++++--- .../LogisticRegression/LbfgsPredictorBase.cs | 115 ++++++++++- 2 files changed, 277 insertions(+), 23 deletions(-) diff --git a/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs b/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs index 96b52fb8f2..783846b895 100644 --- a/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs +++ b/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs @@ -16,6 +16,7 @@ using Microsoft.ML.Model; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers; +using Microsoft.ML.OneDal; [assembly: LoadableClass(OlsTrainer.Summary, typeof(OlsTrainer), typeof(OlsTrainer.Options), new[] { typeof(SignatureRegressorTrainer), typeof(SignatureTrainer), typeof(SignatureFeatureScorerTrainer) }, @@ -88,6 +89,12 @@ public sealed class Options : TrainerInputBaseWithWeight /// [Argument(ArgumentType.LastOccurrenceWins, HelpText = "Whether to calculate per parameter significance statistics", ShortName = "sig")] public bool CalculateStatistics = true; + + /// + /// Number of data points per batch, when loading data. + /// + [Argument(ArgumentType.AtMostOnce, HelpText = "Number of entries in a batch when loading data (0 = auto).", Hide = true)] + public int BatchSize = 0; } internal const string LoadNameValue = "OLSLinearRegression"; @@ -98,6 +105,7 @@ public sealed class Options : TrainerInputBaseWithWeight private readonly float _l2Weight; private readonly bool _perParameterSignificance; + private readonly int _batchSize; private protected override PredictionKind PredictionKind => PredictionKind.Regression; @@ -117,6 +125,7 @@ internal OlsTrainer(IHostEnvironment env, Options options) Host.CheckUserArg(options.L2Regularization >= 0, nameof(options.L2Regularization), "L2 regularization term cannot be negative"); _l2Weight = options.L2Regularization; _perParameterSignificance = options.CalculateStatistics; + _batchSize = options.BatchSize; } private protected override RegressionPredictionTransformer MakeTransformer(OlsModelParameters model, DataViewSchema trainSchema) @@ -170,24 +179,126 @@ private protected override OlsModelParameters TrainModelCore(TrainContext contex } } - private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) + internal static class OneDal { - Host.AssertValue(ch); - ch.AssertValue(cursorFactory); + private const string OneDalLibPath = "OneDalNative"; - int m = featureCount + 1; + [DllImport(OneDalLibPath, EntryPoint = "ridgeRegressionOnlineCompute")] + public static extern unsafe int RidgeRegressionOnlineCompute(void* featuresPtr, void* labelsPtr, int nRows, int nColumns, + float l2Reg, void* partialResultPtr, int partialResultSize); - // Check for memory conditions first. - if ((long)m * (m + 1) / 2 > int.MaxValue) - throw ch.Except("Cannot hold covariance matrix in memory with {0} features", m - 1); + [DllImport(OneDalLibPath, EntryPoint = "ridgeRegressionOnlineFinalize")] + public static extern unsafe void RidgeRegressionOnlineFinalize(void* featuresPtr, void* labelsPtr, long nAllRows, int nRows, int nColumns, + float l2Reg, void* partialResultPtr, int partialResultSize, void* betaPtr, void* xtyPtr, void* xtxPtr); + } - // Track the number of examples. - long n = 0; - // Since we are accumulating over many values, we use Double even for the single precision build. + private void ComputeOneDalRegression(IChannel ch, FloatLabelCursor.Factory cursorFactory, int m, ref Double[] beta, Double[] xtx, ref long n, ref Double yMean) + { var xty = new Double[m]; - // The layout of this algorithm is a packed row-major lower triangular matrix. - var xtx = new Double[m * (m + 1) / 2]; + int batchSize = _batchSize; + if (batchSize == 0) + { + // Set default batch size: 2 ^ 22 / number of features; + batchSize = (1 << 22) / m; + } + + var labelsArray = new Double[batchSize]; + var featuresArray = new Double[(m - 1) * batchSize]; + + // estimated size of oneDAL regression partial result + byte[] partialResultArray = new byte[2 * 1024 * m + 4096]; + int partialResultSize = 0; + + using (var cursor = cursorFactory.Create()) + { + while (cursor.MoveNext()) + { + var rowOffset = n % batchSize; + + if (n != 0 && rowOffset == 0) + { + unsafe + { +#pragma warning disable MSML_SingleVariableDeclaration // Have only a single variable present per declaration + fixed (void* featuresPtr = &featuresArray[0], labelsPtr = &labelsArray[0], partialResultPtr = &partialResultArray[0]) +#pragma warning restore MSML_SingleVariableDeclaration // Have only a single variable present per declaration + { + partialResultSize = OneDal.RidgeRegressionOnlineCompute(featuresPtr, labelsPtr, batchSize, m - 1, _l2Weight, partialResultPtr, partialResultSize); + } + } + } + + labelsArray[rowOffset] = cursor.Label; + var values = cursor.Features.GetValues(); + + if (cursor.Features.IsDense) + { + ch.Assert(values.Length + 1 == m); + + for (int j = 0; j < m - 1; ++j) + { + featuresArray[rowOffset * (m - 1) + j] = values[j]; + } + } + else + { + var indices = cursor.Features.GetIndices(); + int i = 0; + for (int j = 0; j < indices.Length; ++j) + { + for (int k = i; k < indices[j]; ++k) + { + featuresArray[rowOffset * (m - 1) + k] = 0; + } + featuresArray[rowOffset * (m - 1) + j] = values[indices[j]]; + i = indices[j] + 1; + } + } + n++; + } + ch.Check(n > 0, "No training examples in dataset."); + if (cursor.BadFeaturesRowCount > 0) + ch.Warning("Skipped {0} instances with missing features/labelColumn during training", cursor.SkippedRowCount); + + unsafe + { +#pragma warning disable MSML_SingleVariableDeclaration // Have only a single variable present per declaration + fixed (void* featuresPtr = &featuresArray[0], labelsPtr = &labelsArray[0], partialResultPtr = &partialResultArray[0], betaPtr = &beta[0], xtyPtr = &xty[0], xtxPtr = &xtx[0]) +#pragma warning restore MSML_SingleVariableDeclaration // Have only a single variable present per declaration + { + OneDal.RidgeRegressionOnlineFinalize(featuresPtr, labelsPtr, n, (int)(n % batchSize), m - 1, _l2Weight, partialResultPtr, partialResultSize, betaPtr, xtyPtr, xtxPtr); + } + } + } + + if (!(_l2Weight > 0) && n < m) + throw ch.Except("Ordinary least squares requires more examples than parameters. There are {0} parameters, but {1} examples. To enable training, use a positive L2 weight so this behaves as ridge regression.", m, n); + + yMean = n == 0 ? 0 : xty[m - 1] / n; + + ch.Info("Trainer solving for {0} parameters across {1} examples", m, n); + // Cholesky Decomposition of X'X into LL' + try + { + Mkl.Pptrf(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, m, xtx); + } + catch (DllNotFoundException) + { + // REVIEW: Is there no better way? + throw ch.ExceptNotSupp("The MKL library (libMklImports) or one of its dependencies is missing."); + } + // Invert X'X: + Mkl.Pptri(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, m, xtx); + + // Check that the solution is valid. + for (int i = 0; i < beta.Length; ++i) + ch.Check(FloatUtils.IsFinite(beta[i]), "Non-finite values detected in OLS solution"); + } + + private void ComputeMklRegression(IChannel ch, FloatLabelCursor.Factory cursorFactory, int m, ref Double[] beta, Double[] xtx, ref long n, ref Double yMean) + { + var xty = new Double[m]; // Build X'X (lower triangular) and X'y incrementally (X'X+=X'X_i; X'y+=X'y_i): using (var cursor = cursorFactory.Create()) { @@ -267,7 +378,7 @@ private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory curso if (!(_l2Weight > 0) && n < m) throw ch.Except("Ordinary least squares requires more examples than parameters. There are {0} parameters, but {1} examples. To enable training, use a positive L2 weight so this behaves as ridge regression.", m, n); - Double yMean = n == 0 ? 0 : xty[0] / n; + yMean = n == 0 ? 0 : xty[0] / n; ch.Info("Trainer solving for {0} parameters across {1} examples", m, n); // Cholesky Decomposition of X'X into LL' @@ -282,14 +393,46 @@ private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory curso } // Solve for beta in (LL')beta = X'y: Mkl.Pptrs(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, m, 1, xtx, xty, 1); - // Note that the solver overwrote xty so it contains the solution. To be more clear, - // we effectively change its name (through reassignment) so we don't get confused that - // this is somehow xty in the remaining calculation. - var beta = xty; - xty = null; + + // Invert X'X: + Mkl.Pptri(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, m, xtx); + // Check that the solution is valid. - for (int i = 0; i < beta.Length; ++i) - ch.Check(FloatUtils.IsFinite(beta[i]), "Non-finite values detected in OLS solution"); + for (int i = 0; i < xty.Length; ++i) + ch.Check(FloatUtils.IsFinite(xty[i]), "Non-finite values detected in OLS solution"); + + beta = xty; + xty = null; + } + + private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) + { + Host.AssertValue(ch); + ch.AssertValue(cursorFactory); + + int m = featureCount + 1; + + // Check for memory conditions first. + if ((long)m * (m + 1) / 2 > int.MaxValue) + throw ch.Except("Cannot hold covariance matrix in memory with {0} features", m - 1); + + // Track the number of examples. + long n = 0; + + // Since we are accumulating over many values, we use Double even for the single precision build. + // The layout of this algorithm is a packed row-major lower triangular matrix. + var xtx = new Double[m * (m + 1) / 2]; + var beta = new Double[m]; + Double yMean = 0; + + if (OneDalUtils.IsDispatchingEnabled()) + { + ComputeOneDalRegression(ch, cursorFactory, m, ref beta, xtx, ref n, ref yMean); + } + else + { + ComputeMklRegression(ch, cursorFactory, m, ref beta, xtx, ref n, ref yMean); + } var weightsValues = new float[beta.Length - 1]; for (int i = 1; i < beta.Length; ++i) @@ -343,8 +486,6 @@ private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory curso var standardErrors = new Double[m]; var tValues = new Double[m]; var pValues = new Double[m]; - // Invert X'X: - Mkl.Pptri(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, m, xtx); var s2 = rss / (n - m); // estimate of variance of y for (int i = 0; i < m; i++) diff --git a/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs b/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs index a5993b9d85..33ad222e26 100644 --- a/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs +++ b/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs @@ -5,6 +5,7 @@ using System; using System.Collections.Generic; using System.Threading.Tasks; +using System.Runtime.InteropServices; using Microsoft.ML.CommandLine; using Microsoft.ML.Data; using Microsoft.ML.EntryPoints; @@ -15,6 +16,15 @@ namespace Microsoft.ML.Trainers { + internal static class OneDalLbfgs + { + private const string OneDalLibPath = "OneDalNative"; + + [DllImport(OneDalLibPath, EntryPoint = "logisticRegressionLBFGSCompute")] + public static extern unsafe void LogisticRegressionCompute(void* featuresPtr, void* labelsPtr, void* weightsPtr, bool useSampleWeights, void* betaPtr, + long nRows, int nColumns, int nClasses, float l1Reg, float l2Reg, float accuracyThreshold, int nIterations, int m, int nThreads); + } + /// /// Base class for L-BFGS-based trainers. /// @@ -429,11 +439,114 @@ private protected override TModel TrainModelCore(TrainContext context) using (var ch = Host.Start("Training")) { - TrainCore(ch, data); + if (Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && + System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64) + { + TrainCoreOneDal(ch, data); + } + else + { + TrainCore(ch, data); + } return CreatePredictor(); } } + private protected virtual void TrainCoreOneDal(IChannel ch, RoleMappedData data) + { + Host.AssertValue(ch); + ch.AssertValue(data); + + int numThreads = !UseThreads ? 1 : (NumThreads ?? Environment.ProcessorCount); + ch.Assert(numThreads > 0); + + NumGoodRows = 0; + WeightSum = 0; + + _features = null; + _labels = null; + _weights = null; + + CursOpt cursorOpt = CursOpt.Label | CursOpt.Features; + bool useSampleWeights = false; + if (data.Schema.Weight.HasValue) + { + useSampleWeights = true; + cursorOpt |= CursOpt.Weight; + } + + var typeFeat = data.Schema.Feature.Value.Type as VectorDataViewType; + int nFeatures = typeFeat.Size; + + var cursorFactory = new FloatLabelCursor.Factory(data, cursorOpt); + + var labelsList = new List(); + var featuresList = new List(); + var weightsList = new List(); + + using (var cursor = cursorFactory.Create()) + { + while (cursor.MoveNext()) + { + if (useSampleWeights) + { + WeightSum += cursor.Weight; + weightsList.Add(cursor.Weight); + } + labelsList.Add((int)cursor.Label); + var values = cursor.Features.GetValues(); + if (cursor.Features.IsDense) + { + ch.Assert(values.Length == nFeatures); + + for (int j = 0; j < nFeatures; ++j) + { + featuresList.Add(values[j]); + } + } + else + { + var indices = cursor.Features.GetIndices(); + int i = 0; + for (int j = 0; j < indices.Length; ++j) + { + for (int k = i; k < indices[j]; ++k) + { + featuresList.Add(0); + } + featuresList.Add(values[indices[j]]); + i = indices[j] + 1; + } + } + } + NumGoodRows = cursor.KeptRowCount; + if (cursor.SkippedRowCount > 0) + ch.Warning("Skipped {0} instances with missing features/label/weight during training", cursor.SkippedRowCount); + } + ch.Check(NumGoodRows > 0, NoTrainingInstancesMessage); + + int[] labelsArray = labelsList.ToArray(); + float[] featuresArray = featuresList.ToArray(); + if (!useSampleWeights) + { + weightsList.Add(1); + } + float[] weightsArray = weightsList.ToArray(); + float[] betaArray = new float[WeightCount + BiasCount]; + + unsafe + { +#pragma warning disable MSML_SingleVariableDeclaration // Have only a single variable present per declaration + fixed (void* featuresPtr = &featuresArray[0], labelsPtr = &labelsArray[0], weightsPtr = &weightsArray[0], betaPtr = &betaArray[0]) +#pragma warning restore MSML_SingleVariableDeclaration // Have only a single variable present per declaration + { + OneDalLbfgs.LogisticRegressionCompute(featuresPtr, labelsPtr, weightsPtr, useSampleWeights, betaPtr, NumGoodRows, nFeatures, ClassCount, L1Weight, L2Weight, OptTol, MaxIterations, MemorySize, numThreads); + } + } + + CurrentWeights = new VBuffer(betaArray.Length, betaArray); + } + private protected virtual void TrainCore(IChannel ch, RoleMappedData data) { Host.AssertValue(ch); From 9b913e78573d80221a520cc27fdbd089edab2200 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 10:21:26 +0000 Subject: [PATCH 05/60] oneDAL README --- README-oneDAL.md | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 README-oneDAL.md diff --git a/README-oneDAL.md b/README-oneDAL.md new file mode 100644 index 0000000000..2596b2e898 --- /dev/null +++ b/README-oneDAL.md @@ -0,0 +1,32 @@ +# oneDAL supported algorithms + +oneAPI Data Analytics Library (oneDAL) is a library providing highly optimized machine learning and data analytics kernels. Part of these kernels is integrated into ML.NET via C++/C# interoperability. + +[oneDAL Documentation](http://oneapi-src.github.io/oneDAL/) | [oneDAL Repository](https://github.com/oneapi-src/oneDAL) + +[`onedal-integration`](https://github.com/dotnet/machinelearning/tree/onedal-integration) branch provides work-in-progress integration of oneDAL into ML.NET. + +Integration consists of: + +* A "native" component (under `src/Native/Microsoft.ML.OneDal`) implementing wrapper to pass data and parameters to oneDAL; +* Dispatching to oneDAL kernels inside relevant learners: `OLS` (`src/Microsoft.ML.Mkl.Components`), `Logistic Regression` (`src/Microsoft.ML.StandardTrainers`), `Random Forest` (`src/Microsoft.ML.FastTree`); + +## Building from source + +This is instruction how to build ML.NET with integrated oneDAL on Linux, Windows and MacOS platforms: + +1. Clone oneDAL from `develop` branch: `git clone -b develop https://github.com/oneapi-src/oneDAL.git` + +2. Build oneDAL using [this instruction](https://github.com/oneapi-src/oneDAL/blob/develop/INSTALL.md) + +3. Produce Nuget packages using next command template: + + deploy/nuget/prepare_dal_nuget.sh --template ./deploy/nuget/inteldal.nuspec.tpl --release-dir __release_{system}[_{compiler}] --platform {system} --ver {version} --major-binary-ver 1 --minor-binary-ver 1 --build-nupkg yes + +4. Add source path for produced Nuget packages in ML.NET NuGet.Config by adding line to `packageSources`: `` + +5. Build ML.NET from source as usual. + +## Running ML.NET trainers with dispatching to oneDAL kernels + +Currently, dispatching to oneDAL inside ML.NET is regulated by `MLNET_BACKEND` environment variable. If it's set to `ONEDAL`, oneDAL kernel will be used, otherwise - default ML.NET. From 3f309866d7efdf46ffe4e2e93836d99e4299fded Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 11:16:26 +0000 Subject: [PATCH 06/60] Fix mac lib path --- src/Native/Native.proj | 1 + 1 file changed, 1 insertion(+) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 9ad23b14e4..184f1d0afd 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -53,6 +53,7 @@ .$(OneDalMajorBinaryVersion)$(NativeLibExtension) $(NativeLibExtension).$(OneDalMajorBinaryVersion).$(OneDalMinorBinaryVersion) + .$(OneDalMajorBinaryVersion).$(OneDalMinorBinaryVersion)$(NativeLibExtension) redist\intel64 lib\intel64 From e34cb518e78826e2904ac9202744b66f118b1051 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 17:46:25 +0000 Subject: [PATCH 07/60] Fix cmake args for Win platform --- src/Native/Native.proj | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 184f1d0afd..d2a97db6c3 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -88,7 +88,7 @@ DependsOnTargets="GenerateNativeVersionFile"> - $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsPackageVersion)\runtimes\$(PackageRid)\native --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid).$(OneDalRedistVersion)/build/native + $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid).$(OneDalRedistVersion)\build\native From 1592aa93b36abfc47af89a43e27837795d78eebc Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Fri, 11 Nov 2022 17:57:03 +0000 Subject: [PATCH 08/60] Fix cmake args for Win platform 2 --- src/Native/Native.proj | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index d2a97db6c3..6024fb09b2 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -88,7 +88,7 @@ DependsOnTargets="GenerateNativeVersionFile"> - $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid).$(OneDalRedistVersion)\build\native + $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalRedistVersion)\build\native From 2324141eeb1547bd8268cff99f95b39a15045c25 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Sun, 20 Nov 2022 11:43:33 +0000 Subject: [PATCH 09/60] Modify building of onedal wrapper --- eng/Versions.props | 2 +- .../Microsoft.ML.OneDal.csproj | 5 +++- src/Native/Native.proj | 13 ++++++--- src/Native/OneDalNative/CMakeLists.txt | 28 +++++++++++-------- src/Native/build.cmd | 8 ++++-- src/Native/build.sh | 28 +++++++++++++++---- 6 files changed, 59 insertions(+), 25 deletions(-) diff --git a/eng/Versions.props b/eng/Versions.props index ee70718f04..7d508cf6d2 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -39,7 +39,7 @@ 1.0.0-beta.22504.6 1.10.0 0.0.0.12 - 2021.7.0 + 2023.0.0 1 1 2.1.0 diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj index 6d2d4b784a..0c1680022c 100644 --- a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -28,7 +28,10 @@ osx - + + all + + all diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 6024fb09b2..076de4cf00 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -75,7 +75,9 @@ the rpath in the assembly to where it should load the referenced assembly and since .NET Core can run assemblies out of a NuGet cache, we need to add the NuGet cache relative location. --> $(BuildArgs) --mkllibrpath ../../../../../microsoft.ml.mkl.redist/$(Version)/runtimes/$(PackageRid)/native - $(BuildArgs) --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)/$(OneDalRedistVersion)/build/native + $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)/$(OneDalPkgVersion)/build/native/daal/latest + $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64/$(OneDalPkgVersion)/build/native/daal/latest + $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.devel.$(PackageRid)/$(OneTbbPkgVersion)/runtimes/$(PackageRid)/native @@ -88,7 +90,10 @@ DependsOnTargets="GenerateNativeVersionFile"> - $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native --onedallibpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalRedistVersion)\build\native + $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native + $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalPkgVersion)\build\native\daal\latest + $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64\$(OneDalPkgVersion)\build\native\daal\latest + $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.redist.$(PackageRid)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native @@ -115,10 +120,10 @@ diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index cb13ae2645..75ebd8ba9f 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -4,19 +4,23 @@ if(NOT ${ARCHITECTURE} MATCHES "arm.*") add_definitions(-DUSESSE) endif() -set(USE_DPCPP no) -set(TARGET_LINK dynamic) -set(TBB_FIND_COMPONENTS "tbb;tbbmalloc") - -set(DALROOT "${ONEDAL_LIB_PATH}/daal") - -list(APPEND CMAKE_PREFIX_PATH "${ONEDAL_LIB_PATH}/daal") -list(APPEND CMAKE_PREFIX_PATH "${ONEDAL_LIB_PATH}/tbb") - -find_package(oneDAL CONFIG REQUIRED onedal_core onedal_thread) +# libraries +if(UNIX) + if(APPLE) + set(CMAKE_LIBRARY_PATH ${CMAKE_LIBRARY_PATH} ${ONEDAL_REDIST_PATH}/lib ${ONETBB_LIB_PATH}) + link_libraries(libonedal_core.1.1.dylib libonedal_thread.1.1.dylib tbb tbbmalloc) + else() + set(CMAKE_LIBRARY_PATH ${CMAKE_LIBRARY_PATH} ${ONEDAL_REDIST_PATH}/lib/intel64 ${ONETBB_LIB_PATH}) + link_libraries(libonedal_core.so.1.1 libonedal_thread.so.1.1 tbb tbbmalloc) + endif() +else() + set(CMAKE_LIBRARY_PATH ${CMAKE_LIBRARY_PATH} ${ONEDAL_REDIST_PATH}/lib/intel64 ${ONETBB_LIB_PATH}) + set(CMAKE_LIBRARY_PATH ${CMAKE_LIBRARY_PATH} ${ONEDAL_REDIST_PATH}/redist/intel64) + link_libraries(onedal_core.1.dll onedal_thread.1.dll tbb12.dll tbbmalloc.dll) +endif() -include_directories(${oneDAL_INCLUDE_DIRS}) -link_libraries(${oneDAL_IMPORTED_TARGETS}) +# headers +include_directories(${ONEDAL_DEVEL_PATH}/include) set(SOURCES OneDalAlgorithms.cpp) diff --git a/src/Native/build.cmd b/src/Native/build.cmd index 29dbdec9ea..d19e9eec55 100644 --- a/src/Native/build.cmd +++ b/src/Native/build.cmd @@ -16,7 +16,9 @@ set __BuildArch=x64 set __VCBuildArch=x86_amd64 set CMAKE_BUILD_TYPE=Debug set MKL_LIB_PATH="" -set ONEDAL_LIB_PATH="" +set ONEDAL_REDIST_PATH="" +set ONEDAL_DEVEL_PATH="" +set ONETBB_LIB_PATH="" :Arg_Loop if [%1] == [] goto :ToolsVersion @@ -30,7 +32,9 @@ if /i [%1] == [arm] ( set __BuildArch=arm&&set __VCBuildArch=x86_arm&&sh if /i [%1] == [arm64] ( set __BuildArch=arm64&&set __VCBuildArch=x86_arm64&&shift&goto Arg_Loop) if /i [%1] == [--mkllibpath] ( set MKL_LIB_PATH=%2&&shift&goto Arg_Loop) -if /i [%1] == [--onedallibpath] ( set ONEDAL_LIB_PATH=%2&&shift&goto Arg_Loop) +if /i [%1] == [--onedalredistpath] ( set ONEDAL_REDIST_PATH=%2&&shift&goto Arg_Loop) +if /i [%1] == [--onedaldevelpath] ( set ONEDAL_DEVEL_PATH=%2&&shift&goto Arg_Loop) +if /i [%1] == [--onetbblibpath] ( set ONETBB_LIB_PATH=%2&&shift&goto Arg_Loop) shift goto :Arg_Loop diff --git a/src/Native/build.sh b/src/Native/build.sh index 00b56eec71..a5317bcf57 100755 --- a/src/Native/build.sh +++ b/src/Native/build.sh @@ -31,7 +31,9 @@ __baseIntermediateOutputPath="$RootRepo/artifacts/obj" __versionSourceFile="$__baseIntermediateOutputPath/version.c" __mkllibpath="" __mkllibrpath="" -__onedallibpath="" +__onedalredistpath="" +__onedaldevelpath="" +__onetbblibpath="" while [ "$1" != "" ]; do lowerI="$(echo $1 | awk '{print tolower($0)}')" @@ -56,9 +58,17 @@ while [ "$1" != "" ]; do shift __mkllibrpath=$1 ;; - --onedallibpath) + --onedalredistpath) shift - __onedallibpath=$1 + __onedalredistpath=$1 + ;; + --onedaldevelpath) + shift + __onedaldevelpath=$1 + ;; + --onetbblibpath) + shift + __onetbblibpath=$1 ;; --stripsymbols) __strip_argument="-DSTRIP_SYMBOLS=true" @@ -79,8 +89,16 @@ if [ -n "$__mkllibrpath" ]; then __cmake_defines="${__cmake_defines} -DMKL_LIB_RPATH=${__mkllibrpath}" fi -if [ -n "$__onedallibpath" ]; then - __cmake_defines="${__cmake_defines} -DONEDAL_LIB_PATH=${__onedallibpath}" +if [ -n "$__onedalredistpath" ]; then + __cmake_defines="${__cmake_defines} -DONEDAL_REDIST_PATH=${__onedalredistpath}" +fi + +if [ -n "$__onedaldevelpath" ]; then + __cmake_defines="${__cmake_defines} -DONEDAL_DEVEL_PATH=${__onedaldevelpath}" +fi + +if [ -n "$__onetbblibpath" ]; then + __cmake_defines="${__cmake_defines} -DONETBB_LIB_PATH=${__onetbblibpath}" fi __IntermediatesDir="$__baseIntermediateOutputPath/Native/$__build_arch.$__configuration" From c6dc1c464c8ad5545c30ed7ed41a264b66f5dc1b Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 10:33:54 +0000 Subject: [PATCH 10/60] Temp.fix of wrapper deps --- eng/Versions.props | 7 ++++++- src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj | 8 -------- src/Native/Native.proj | 10 ++++++++-- 3 files changed, 14 insertions(+), 11 deletions(-) diff --git a/eng/Versions.props b/eng/Versions.props index 7d508cf6d2..6cb0bd9f0a 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -39,7 +39,12 @@ 1.0.0-beta.22504.6 1.10.0 0.0.0.12 - 2023.0.0 + 2023.0.0.22182 + 2023.0.0.21961 + 2023.0.0.21926 + 2021.8.0.9812 + 2021.8.0.9730 + 2021.8.0.9986 1 1 2.1.0 diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj index 0c1680022c..ab1cc7a4cb 100644 --- a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -27,14 +27,6 @@ linux osx - - - all - - - all - - diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 076de4cf00..5f293d5002 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -60,6 +60,12 @@ lib + + win + linux + osx + + @@ -77,7 +83,7 @@ $(BuildArgs) --mkllibrpath ../../../../../microsoft.ml.mkl.redist/$(Version)/runtimes/$(PackageRid)/native $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)/$(OneDalPkgVersion)/build/native/daal/latest $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64/$(OneDalPkgVersion)/build/native/daal/latest - $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.devel.$(PackageRid)/$(OneTbbPkgVersion)/runtimes/$(PackageRid)/native + $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.devel.$(TbbSystem)/$(OneTbbPkgVersion)/runtimes/$(PackageRid)/native @@ -93,7 +99,7 @@ $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalPkgVersion)\build\native\daal\latest $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64\$(OneDalPkgVersion)\build\native\daal\latest - $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.redist.$(PackageRid)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native + $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.redist.$(TbbSystem)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native From 247642520162563eb334b7dbec4a643be4b7d525 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 10:38:12 +0000 Subject: [PATCH 11/60] Add onedal devel version --- eng/Versions.props | 1 + src/Native/Native.proj | 4 ++-- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/eng/Versions.props b/eng/Versions.props index 6cb0bd9f0a..b42148e62c 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -42,6 +42,7 @@ 2023.0.0.22182 2023.0.0.21961 2023.0.0.21926 + 2023.0.0.22182 2021.8.0.9812 2021.8.0.9730 2021.8.0.9986 diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 5f293d5002..6850f42e30 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -82,7 +82,7 @@ we need to add the NuGet cache relative location. --> $(BuildArgs) --mkllibrpath ../../../../../microsoft.ml.mkl.redist/$(Version)/runtimes/$(PackageRid)/native $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)/$(OneDalPkgVersion)/build/native/daal/latest - $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64/$(OneDalPkgVersion)/build/native/daal/latest + $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64/$(OneDalDevelPkgVersion)/build/native/daal/latest $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.devel.$(TbbSystem)/$(OneTbbPkgVersion)/runtimes/$(PackageRid)/native @@ -98,7 +98,7 @@ $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalPkgVersion)\build\native\daal\latest - $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64\$(OneDalPkgVersion)\build\native\daal\latest + $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64\$(OneDalDevelPkgVersion)\build\native\daal\latest $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.redist.$(TbbSystem)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native From 3870283b9c684c3e644ff4ba7eade8abcd025e4d Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 12:32:40 +0000 Subject: [PATCH 12/60] Modify linking and add tbb libs copy --- src/Native/Native.proj | 21 +++++++++++++++++++-- src/Native/OneDalNative/CMakeLists.txt | 17 +++++------------ 2 files changed, 24 insertions(+), 14 deletions(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 6850f42e30..8317a7eb33 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -64,6 +64,17 @@ win linux osx + + redist + devel + + tbb12.dll + libtbb.so + libtbb.dylib + + tbbmalloc.dll + libtbbmalloc.so + libtbbmalloc.dylib - + - + + + Date: Mon, 21 Nov 2022 12:38:07 +0000 Subject: [PATCH 13/60] Modify link to tbb[malloc] --- src/Native/Native.proj | 8 ++++---- src/Native/OneDalNative/CMakeLists.txt | 4 ++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 8317a7eb33..6e6ba7d9f1 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -69,12 +69,12 @@ devel tbb12.dll - libtbb.so - libtbb.dylib + libtbb.so.12 + libtbb.2.dylib tbbmalloc.dll - libtbbmalloc.so - libtbbmalloc.dylib + libtbbmalloc.so.12 + libtbbmalloc.2.dylib Date: Mon, 21 Nov 2022 12:40:52 +0000 Subject: [PATCH 14/60] Fix tbb link --- src/Native/OneDalNative/CMakeLists.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index 54b4e4f2dd..a7883b237d 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -3,9 +3,9 @@ project (OneDalNative) # libraries if(UNIX) if(APPLE) - set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib -l:libonedal_core.1.1.dylib -l:libonedal_thread.1.1.dylib -L${ONETBB_LIB_PATH} -l:tbb.12.dylib -l:tbbmalloc.2.dylib) + set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib -l:libonedal_core.1.1.dylib -l:libonedal_thread.1.1.dylib -L${ONETBB_LIB_PATH} -l:libtbb.12.dylib -l:libtbbmalloc.2.dylib) else() - set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_LIB_PATH} -l:tbb.so.12 -ltbbmalloc.so.2) + set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_LIB_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2) endif() else() set(PATH ${ONEDAL_REDIST_PATH}/redist/intel64;${ONETBB_LIB_PATH};${PATH}) From 60fd3aa92a9251866e0c5ed1ca031a2d3349c6c5 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 12:43:47 +0000 Subject: [PATCH 15/60] Fix tbb versions --- src/Native/Native.proj | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 6e6ba7d9f1..2cd005fb8a 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -70,10 +70,10 @@ tbb12.dll libtbb.so.12 - libtbb.2.dylib + libtbb.12.dylib tbbmalloc.dll - libtbbmalloc.so.12 + libtbbmalloc.so.2 libtbbmalloc.2.dylib From 34da10677b15dbf09bd116a1bf800b3adf0f8564 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 15:32:46 +0000 Subject: [PATCH 16/60] tbb linking fixes --- src/Native/Native.proj | 5 +++-- src/Native/OneDalNative/CMakeLists.txt | 9 +++++---- src/Native/build.cmd | 3 ++- src/Native/build.sh | 10 +++++----- src/Native/gen-buildsys-win.bat | 2 +- 5 files changed, 16 insertions(+), 13 deletions(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 2cd005fb8a..574869f7eb 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -94,7 +94,7 @@ $(BuildArgs) --mkllibrpath ../../../../../microsoft.ml.mkl.redist/$(Version)/runtimes/$(PackageRid)/native $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)/$(OneDalPkgVersion)/build/native/daal/latest $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64/$(OneDalDevelPkgVersion)/build/native/daal/latest - $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.devel.$(TbbSystem)/$(OneTbbPkgVersion)/runtimes/$(PackageRid)/native + $(BuildArgs) --onetbbredistpath $(NuGetPackageRoot)inteltbb.devel.$(TbbSystem)/$(OneTbbPkgVersion)/runtimes/$(PackageRid)/native @@ -110,7 +110,8 @@ $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalPkgVersion)\build\native\daal\latest $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64\$(OneDalDevelPkgVersion)\build\native\daal\latest - $(BuildArgs) --onetbblibpath $(NuGetPackageRoot)inteltbb.redist.$(TbbSystem)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native + $(BuildArgs) --onetbbredistpath $(NuGetPackageRoot)inteltbb.redist.$(TbbSystem)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native + $(BuildArgs) --onetbbdevelpath $(NuGetPackageRoot)inteltbb.devel.$(TbbSystem)\$(OneTbbPkgVersion)\lib\native\$(PackageRid) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index a7883b237d..0b3d27bccb 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -3,13 +3,14 @@ project (OneDalNative) # libraries if(UNIX) if(APPLE) - set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib -l:libonedal_core.1.1.dylib -l:libonedal_thread.1.1.dylib -L${ONETBB_LIB_PATH} -l:libtbb.12.dylib -l:libtbbmalloc.2.dylib) + set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib libonedal_core.1.1.dylib libonedal_thread.1.1.dylib -L${ONETBB_REDIST_PATH} libtbb.12.dylib libtbbmalloc.2.dylib) else() - set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_LIB_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2) + set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_REDIST_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2) endif() else() - set(PATH ${ONEDAL_REDIST_PATH}/redist/intel64;${ONETBB_LIB_PATH};${PATH}) - set(WRAPPER_LINK_OPTIONS onedal_core.1.dll onedal_thread.1.dll tbb12.dll tbbmalloc.dll) + set(LIBPATH ${ONEDAL_DEVEL_PATH}\lib\intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) + set(LIB ${ONEDAL_DEVEL_PATH}\lib\intel64;${ONETBB_DEVEL_PATH};${LIB}) + set(WRAPPER_LINK_OPTIONS onedal_core.lib onedal_thread.lib tbb12.lib tbbmalloc.lib) endif() # headers diff --git a/src/Native/build.cmd b/src/Native/build.cmd index d19e9eec55..cb867e4f0e 100644 --- a/src/Native/build.cmd +++ b/src/Native/build.cmd @@ -34,7 +34,8 @@ if /i [%1] == [arm64] ( set __BuildArch=arm64&&set __VCBuildArch=x86_arm64 if /i [%1] == [--mkllibpath] ( set MKL_LIB_PATH=%2&&shift&goto Arg_Loop) if /i [%1] == [--onedalredistpath] ( set ONEDAL_REDIST_PATH=%2&&shift&goto Arg_Loop) if /i [%1] == [--onedaldevelpath] ( set ONEDAL_DEVEL_PATH=%2&&shift&goto Arg_Loop) -if /i [%1] == [--onetbblibpath] ( set ONETBB_LIB_PATH=%2&&shift&goto Arg_Loop) +if /i [%1] == [--onetbbredistpath] ( set ONETBB_REDIST_PATH=%2&&shift&goto Arg_Loop) +if /i [%1] == [--onetbbdevelpath] ( set ONETBB_DEVEL_PATH=%2&&shift&goto Arg_Loop) shift goto :Arg_Loop diff --git a/src/Native/build.sh b/src/Native/build.sh index a5317bcf57..d56dbd96e4 100755 --- a/src/Native/build.sh +++ b/src/Native/build.sh @@ -33,7 +33,7 @@ __mkllibpath="" __mkllibrpath="" __onedalredistpath="" __onedaldevelpath="" -__onetbblibpath="" +__onetbbredistpath=""set(LIBPATH ${ONEDAL_DEVEL_PATH}\lib\intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) while [ "$1" != "" ]; do lowerI="$(echo $1 | awk '{print tolower($0)}')" @@ -66,9 +66,9 @@ while [ "$1" != "" ]; do shift __onedaldevelpath=$1 ;; - --onetbblibpath) + --onetbbredistpath) shift - __onetbblibpath=$1 + __onetbbredistpath=$1 ;; --stripsymbols) __strip_argument="-DSTRIP_SYMBOLS=true" @@ -97,8 +97,8 @@ if [ -n "$__onedaldevelpath" ]; then __cmake_defines="${__cmake_defines} -DONEDAL_DEVEL_PATH=${__onedaldevelpath}" fi -if [ -n "$__onetbblibpath" ]; then - __cmake_defines="${__cmake_defines} -DONETBB_LIB_PATH=${__onetbblibpath}" +if [ -n "$__onetbbredistpath" ]; then + __cmake_defines="${__cmake_defines} -DONETBB_REDIST_PATH=${__onetbbredistpath}" fi __IntermediatesDir="$__baseIntermediateOutputPath/Native/$__build_arch.$__configuration" diff --git a/src/Native/gen-buildsys-win.bat b/src/Native/gen-buildsys-win.bat index b04df9f85e..b34b3f90b9 100644 --- a/src/Native/gen-buildsys-win.bat +++ b/src/Native/gen-buildsys-win.bat @@ -30,7 +30,7 @@ if /i "%3" == "x64" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A x64) if /i "%3" == "x86" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A Win32) if /i "%3" == "arm64" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A arm64) if /i "%3" == "arm" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A arm) -"%CMakePath%" "-DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE%" "-DCMAKE_INSTALL_PREFIX=%__CMakeBinDir%" "-DMKL_LIB_PATH=%MKL_LIB_PATH%" "-DONEDAL_LIB_PATH=%ONEDAL_LIB_PATH%" "-DARCHITECTURE=%3" -G "Visual Studio %__VSString%" %__ExtraCmakeParams% -B. -H%1 +"%CMakePath%" "-DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE%" "-DCMAKE_INSTALL_PREFIX=%__CMakeBinDir%" "-DMKL_LIB_PATH=%MKL_LIB_PATH%" "-DONEDAL_REDIST_PATH=%ONEDAL_REDIST_PATH%" "-DONEDAL_DEVEL_PATH=%ONEDAL_DEVEL_PATH%" "-DONETBB_REDIST_PATH=%ONETBB_LIB_PATH%" "-DONETBB_DEVEL_PATH=%ONETBB_DEVEL_PATH%" "-DARCHITECTURE=%3" -G "Visual Studio %__VSString%" %__ExtraCmakeParams% -B. -H%1 endlocal GOTO :DONE From 6ff47c5f43ec5508bcc05425ac7d0113d23c7adf Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 15:47:13 +0000 Subject: [PATCH 17/60] Fix tbb linking 2 --- src/Native/build.cmd | 3 ++- src/Native/build.sh | 11 ++++++++++- 2 files changed, 12 insertions(+), 2 deletions(-) diff --git a/src/Native/build.cmd b/src/Native/build.cmd index cb867e4f0e..536e4845a5 100644 --- a/src/Native/build.cmd +++ b/src/Native/build.cmd @@ -18,7 +18,8 @@ set CMAKE_BUILD_TYPE=Debug set MKL_LIB_PATH="" set ONEDAL_REDIST_PATH="" set ONEDAL_DEVEL_PATH="" -set ONETBB_LIB_PATH="" +set ONETBB_REDIST_PATH="" +set ONETBB_DEVEL_PATH="" :Arg_Loop if [%1] == [] goto :ToolsVersion diff --git a/src/Native/build.sh b/src/Native/build.sh index d56dbd96e4..13e7b28c21 100755 --- a/src/Native/build.sh +++ b/src/Native/build.sh @@ -33,7 +33,8 @@ __mkllibpath="" __mkllibrpath="" __onedalredistpath="" __onedaldevelpath="" -__onetbbredistpath=""set(LIBPATH ${ONEDAL_DEVEL_PATH}\lib\intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) +__onetbbredistpath="" +__onetbbdevelpath="" while [ "$1" != "" ]; do lowerI="$(echo $1 | awk '{print tolower($0)}')" @@ -70,6 +71,10 @@ while [ "$1" != "" ]; do shift __onetbbredistpath=$1 ;; + --onetbbdevelpath) + shift + __onetbbdevelpath=$1 + ;; --stripsymbols) __strip_argument="-DSTRIP_SYMBOLS=true" ;; @@ -101,6 +106,10 @@ if [ -n "$__onetbbredistpath" ]; then __cmake_defines="${__cmake_defines} -DONETBB_REDIST_PATH=${__onetbbredistpath}" fi +if [ -n "$__onetbbdevelpath" ]; then + __cmake_defines="${__cmake_defines} -DONETBB_DEVEL_PATH=${__onetbbdevelpath}" +fi + __IntermediatesDir="$__baseIntermediateOutputPath/Native/$__build_arch.$__configuration" __BinDir="$__rootBinPath/Native/$__build_arch.$__configuration" From 1014d7e9b220498746fcbd244179f3141cf2d38a Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 18:00:49 +0000 Subject: [PATCH 18/60] Remove df_clsf inference from wrapper, fix msvc warnings --- src/Native/OneDalNative/CMakeLists.txt | 8 ++- src/Native/OneDalNative/OneDalAlgorithms.cpp | 57 +++----------------- 2 files changed, 12 insertions(+), 53 deletions(-) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index 0b3d27bccb..91b436ac57 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -8,14 +8,18 @@ if(UNIX) set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_REDIST_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2) endif() else() - set(LIBPATH ${ONEDAL_DEVEL_PATH}\lib\intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) - set(LIB ${ONEDAL_DEVEL_PATH}\lib\intel64;${ONETBB_DEVEL_PATH};${LIB}) + set(LIBPATH ${ONEDAL_DEVEL_PATH}/lib/intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) + set(LIB ${ONEDAL_DEVEL_PATH}/lib/intel64;${ONETBB_DEVEL_PATH};${LIB}) set(WRAPPER_LINK_OPTIONS onedal_core.lib onedal_thread.lib tbb12.lib tbbmalloc.lib) endif() # headers include_directories(${ONEDAL_DEVEL_PATH}/include) +add_compile_options(/wd4996) +add_compile_options(/wd4477) +add_compile_options(/wd4267) + set(SOURCES OneDalAlgorithms.cpp) add_library(OneDalNative SHARED ${SOURCES} ${RESOURCES}) target_link_libraries(OneDalNative PUBLIC ${WRAPPER_LINK_OPTIONS}) diff --git a/src/Native/OneDalNative/OneDalAlgorithms.cpp b/src/Native/OneDalNative/OneDalAlgorithms.cpp index 9a5028f043..a02656baea 100644 --- a/src/Native/OneDalNative/OneDalAlgorithms.cpp +++ b/src/Native/OneDalNative/OneDalAlgorithms.cpp @@ -21,6 +21,8 @@ bool getVerboseVariable() size_t size; errno_t err = _dupenv_s(&env_p, &size, "MLNET_BACKEND_VERBOSE"); if(!err && env_p) + #else + if(false) #endif verbose = true; #ifdef _WIN32 @@ -64,7 +66,7 @@ class RegressorNodeVisitor : public daal::algorithms::tree_utils::regression::Tr { _gtChild[_previousNodes[desc.level - 1]] = _currentLeaf; } - _leafValues[-_currentLeaf - 1] = desc.response; + _leafValues[-_currentLeaf - 1] = (FPType)desc.response; _previousLevel = desc.level; _currentLeaf--; @@ -95,7 +97,7 @@ class RegressorNodeVisitor : public daal::algorithms::tree_utils::regression::Tr _gtChild[_previousNodes[desc.level - 1]] = _currentNode; } _splitFeature[_currentNode] = desc.featureIndex; - _featureThreshold[_currentNode] = desc.featureValue; + _featureThreshold[_currentNode] = (FPType)desc.featureValue; _previousNodes[desc.level] = _currentNode; _previousLevel = desc.level; _currentNode++; @@ -314,7 +316,7 @@ class ClassifierNodeVisitor : public daal::algorithms::tree_utils::classificatio { _gtChild[_previousNodes[desc.level - 1]] = _currentLeaf; } - _leafValues[-_currentLeaf - 1] = 1 - 2 * desc.prob[0]; + _leafValues[-_currentLeaf - 1] = 1 - 2 * (FPType)desc.prob[0]; _previousLevel = desc.level; _currentLeaf--; @@ -352,7 +354,7 @@ class ClassifierNodeVisitor : public daal::algorithms::tree_utils::classificatio _gtChild[_previousNodes[desc.level - 1]] = _currentNode; } _splitFeature[_currentNode] = desc.featureIndex; - _featureThreshold[_currentNode] = desc.featureValue; + _featureThreshold[_currentNode] = (FPType)desc.featureValue; _previousNodes[desc.level] = _currentNode; _previousLevel = desc.level; _currentNode++; @@ -534,53 +536,6 @@ EXPORT_API(int) decisionForestClassificationCompute( numberOfThreads, featureFractionPerSplit, numberOfTrees, numberOfLeaves, minimumExampleCountPerLeaf, maxBins, (int *)lteChildPtr, (int *)gtChildPtr, (int *)splitFeaturePtr, (float *)featureThresholdPtr, (float *)leafValuesPtr, (byte *)modelPtr); } - -/* - [DllImport(OneDalLibPath, EntryPoint = "decisionForestClassificationPrediction")] - public static extern unsafe double DecisionForestClassificationPrediction( - void* featuresPtr, int nColumns, int nClasses, void* modelPtr, int modelSize); -*/ -template -double decisionForestClassificationPredictionTemplate( - FPType * featuresPtr, int nColumns, int nClasses, byte* modelPtr, int modelSize) -{ - OutputDataArchive dataArch(modelPtr, modelSize); - - decision_forest::classification::training::ResultPtr trainingResult(new decision_forest::classification::training::Result()); - trainingResult->deserialize(dataArch); - - double output; - NumericTablePtr featuresTable(new HomogenNumericTable(featuresPtr, nColumns, 1)); - - decision_forest::classification::prediction::Batch algorithm(nClasses); - - algorithm.input.set(classifier::prediction::data, featuresTable); - algorithm.input.set(classifier::prediction::model, trainingResult->get(classifier::training::model)); - - algorithm.parameter().votingMethod = decision_forest::classification::prediction::weighted; - algorithm.parameter().resultsToEvaluate |= static_cast(classifier::computeClassProbabilities); - - algorithm.compute(); - - classifier::prediction::ResultPtr predictionResult = algorithm.getResult(); - - NumericTablePtr predictionTable(predictionResult->get(classifier::prediction::probabilities)); - BlockDescriptor predictionBlock; - predictionTable->getBlockOfRows(0, predictionTable->getNumberOfRows(), readWrite, predictionBlock); - FPType * prediction = predictionBlock.getBlockPtr(); - output = prediction[0]; - predictionTable->releaseBlockOfRows(predictionBlock); - - return output; -} - -EXPORT_API(int) decisionForestClassificationPrediction( - void * featuresPtr, int nColumns, int nClasses, void* modelPtr, int modelSize) -{ - return decisionForestClassificationPredictionTemplate( - (float *)featuresPtr, nColumns, nClasses, (byte *)modelPtr, modelSize); -} - /* ### Logistic regression wrapper ### public unsafe static extern void LogisticRegressionCompute(void* featuresPtr, void* labelsPtr, void* weightsPtr, bool useSampleWeights, void* betaPtr, From 0981764f4d3f3f020f945065dee0d5c666947a30 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 18:11:04 +0000 Subject: [PATCH 19/60] Fix win linking --- src/Native/OneDalNative/CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index 91b436ac57..f74dc3a2d4 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -10,7 +10,7 @@ if(UNIX) else() set(LIBPATH ${ONEDAL_DEVEL_PATH}/lib/intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) set(LIB ${ONEDAL_DEVEL_PATH}/lib/intel64;${ONETBB_DEVEL_PATH};${LIB}) - set(WRAPPER_LINK_OPTIONS onedal_core.lib onedal_thread.lib tbb12.lib tbbmalloc.lib) + set(WRAPPER_LINK_OPTIONS onedal_core_dll.1.lib tbb12.lib tbbmalloc.lib) endif() # headers From c37debb64bfaef28f0e5eff530bfa3f6b520b32b Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Mon, 21 Nov 2022 19:03:22 +0000 Subject: [PATCH 20/60] Fix linking on Windows --- src/Native/OneDalNative/CMakeLists.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index f74dc3a2d4..4957fed30b 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -8,8 +8,8 @@ if(UNIX) set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_REDIST_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2) endif() else() - set(LIBPATH ${ONEDAL_DEVEL_PATH}/lib/intel64;${ONETBB_DEVEL_PATH};${LIBPATH}) - set(LIB ${ONEDAL_DEVEL_PATH}/lib/intel64;${ONETBB_DEVEL_PATH};${LIB}) + link_directories("${ONEDAL_DEVEL_PATH}\\lib\\intel64") + link_directories("${ONETBB_DEVEL_PATH}") set(WRAPPER_LINK_OPTIONS onedal_core_dll.1.lib tbb12.lib tbbmalloc.lib) endif() From 12866e21bfed38f75bdfa33d088a999c87d3277b Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Tue, 22 Nov 2022 18:30:26 +0000 Subject: [PATCH 21/60] fix onedalutils --- src/Microsoft.ML.OneDal/OneDalUtils.cs | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/Microsoft.ML.OneDal/OneDalUtils.cs b/src/Microsoft.ML.OneDal/OneDalUtils.cs index f95d2d7eec..4f34b7af04 100644 --- a/src/Microsoft.ML.OneDal/OneDalUtils.cs +++ b/src/Microsoft.ML.OneDal/OneDalUtils.cs @@ -12,15 +12,16 @@ namespace Microsoft.ML.OneDal { + [BestFriend] internal static class OneDalUtils { - public static bool IsDispatchingEnabled() + internal static bool IsDispatchingEnabled() { return Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64; } - public static long GetTrainData(IChannel channel, FloatLabelCursor.Factory cursorFactory, ref List featuresList, ref List labelsList, int numberOfFeatures) + internal static long GetTrainData(IChannel channel, FloatLabelCursor.Factory cursorFactory, ref List featuresList, ref List labelsList, int numberOfFeatures) { long n = 0; using (var cursor = cursorFactory.Create()) From b803f516e7d7af2e955a5ea5b886073568c7868b Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Tue, 22 Nov 2022 18:47:59 +0000 Subject: [PATCH 22/60] Fix usage of onedalutils --- src/Microsoft.ML.FastTree/RandomForestClassification.cs | 3 ++- src/Microsoft.ML.FastTree/RandomForestRegression.cs | 3 ++- src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs | 1 + 3 files changed, 5 insertions(+), 2 deletions(-) diff --git a/src/Microsoft.ML.FastTree/RandomForestClassification.cs b/src/Microsoft.ML.FastTree/RandomForestClassification.cs index a141933c5c..1875fc6dad 100644 --- a/src/Microsoft.ML.FastTree/RandomForestClassification.cs +++ b/src/Microsoft.ML.FastTree/RandomForestClassification.cs @@ -143,6 +143,7 @@ internal static IPredictorProducing Create(IHostEnvironment env, ModelLoa /// /// /// + [BestFriend] public sealed partial class FastForestBinaryTrainer : RandomForestTrainerBase, FastForestBinaryModelParameters> { @@ -262,7 +263,7 @@ public static extern unsafe int DecisionForestClassificationCompute( void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); } - private protected void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) + private void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { CheckOptions(ch); Initialize(ch); diff --git a/src/Microsoft.ML.FastTree/RandomForestRegression.cs b/src/Microsoft.ML.FastTree/RandomForestRegression.cs index 246957ada1..cfb2195286 100644 --- a/src/Microsoft.ML.FastTree/RandomForestRegression.cs +++ b/src/Microsoft.ML.FastTree/RandomForestRegression.cs @@ -290,6 +290,7 @@ ISchemaBindableMapper IQuantileRegressionPredictor.CreateMapper(Double[] quantil /// /// /// + [BestFriend] public sealed partial class FastForestRegressionTrainer : RandomForestTrainerBase, FastForestRegressionModelParameters> { @@ -395,7 +396,7 @@ public static extern unsafe int DecisionForestRegressionCompute( void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); } - private protected void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) + private void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { CheckOptions(ch); Initialize(ch); diff --git a/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs b/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs index 783846b895..83e5316ffc 100644 --- a/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs +++ b/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs @@ -64,6 +64,7 @@ namespace Microsoft.ML.Trainers /// /// /// + [BestFriend] public sealed class OlsTrainer : TrainerEstimatorBase, OlsModelParameters> { /// From 1545e9d24f7ad0348c994bbb10c9bf042c1c63dd Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Tue, 22 Nov 2022 18:55:07 +0000 Subject: [PATCH 23/60] Fix usage of onedalutils n2 --- src/Microsoft.ML.FastTree/RandomForestClassification.cs | 2 +- src/Microsoft.ML.FastTree/RandomForestRegression.cs | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/Microsoft.ML.FastTree/RandomForestClassification.cs b/src/Microsoft.ML.FastTree/RandomForestClassification.cs index 1875fc6dad..021df0f4c3 100644 --- a/src/Microsoft.ML.FastTree/RandomForestClassification.cs +++ b/src/Microsoft.ML.FastTree/RandomForestClassification.cs @@ -143,7 +143,6 @@ internal static IPredictorProducing Create(IHostEnvironment env, ModelLoa /// /// /// - [BestFriend] public sealed partial class FastForestBinaryTrainer : RandomForestTrainerBase, FastForestBinaryModelParameters> { @@ -263,6 +262,7 @@ public static extern unsafe int DecisionForestClassificationCompute( void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); } + [BestFriend] private void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { CheckOptions(ch); diff --git a/src/Microsoft.ML.FastTree/RandomForestRegression.cs b/src/Microsoft.ML.FastTree/RandomForestRegression.cs index cfb2195286..47ff138a71 100644 --- a/src/Microsoft.ML.FastTree/RandomForestRegression.cs +++ b/src/Microsoft.ML.FastTree/RandomForestRegression.cs @@ -290,7 +290,6 @@ ISchemaBindableMapper IQuantileRegressionPredictor.CreateMapper(Double[] quantil /// /// /// - [BestFriend] public sealed partial class FastForestRegressionTrainer : RandomForestTrainerBase, FastForestRegressionModelParameters> { @@ -396,6 +395,7 @@ public static extern unsafe int DecisionForestRegressionCompute( void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); } + [BestFriend] private void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { CheckOptions(ch); From fd4bc39d75db9c8f1ebca27cf6dfc7ff4c296dbc Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Tue, 22 Nov 2022 19:02:27 +0000 Subject: [PATCH 24/60] Fix usage of onedalutils n3 --- .../RandomForestClassification.cs | 8 +++++++- src/Microsoft.ML.FastTree/RandomForestRegression.cs | 8 +++++++- src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs | 10 ++++++++-- 3 files changed, 22 insertions(+), 4 deletions(-) diff --git a/src/Microsoft.ML.FastTree/RandomForestClassification.cs b/src/Microsoft.ML.FastTree/RandomForestClassification.cs index 021df0f4c3..edb4ce5339 100644 --- a/src/Microsoft.ML.FastTree/RandomForestClassification.cs +++ b/src/Microsoft.ML.FastTree/RandomForestClassification.cs @@ -224,7 +224,7 @@ private protected override FastForestBinaryModelParameters TrainModelCore(TrainC FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount(); ConvertData(trainData); - if (!trainData.Schema.Weight.HasValue && OneDalUtils.IsDispatchingEnabled()) + if (!trainData.Schema.Weight.HasValue && IsDispatchingToOneDalEnabled()) { if (FastTreeTrainerOptions.FeatureFraction != 1.0) { @@ -262,6 +262,12 @@ public static extern unsafe int DecisionForestClassificationCompute( void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); } + [BestFriend] + private bool IsDispatchingToOneDalEnabled() + { + return OneDalUtils.IsDispatchingEnabled(); + } + [BestFriend] private void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { diff --git a/src/Microsoft.ML.FastTree/RandomForestRegression.cs b/src/Microsoft.ML.FastTree/RandomForestRegression.cs index 47ff138a71..31ed90189f 100644 --- a/src/Microsoft.ML.FastTree/RandomForestRegression.cs +++ b/src/Microsoft.ML.FastTree/RandomForestRegression.cs @@ -363,7 +363,7 @@ private protected override FastForestRegressionModelParameters TrainModelCore(Tr FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount(); ConvertData(trainData); - if (!trainData.Schema.Weight.HasValue && OneDalUtils.IsDispatchingEnabled()) + if (!trainData.Schema.Weight.HasValue && IsDispatchingToOneDalEnabled()) { if (FastTreeTrainerOptions.FeatureFraction != 1.0) { @@ -395,6 +395,12 @@ public static extern unsafe int DecisionForestRegressionCompute( void* lteChildPtr, void* gtChildPtr, void* splitFeaturePtr, void* featureThresholdPtr, void* leafValuesPtr, void* modelPtr); } + [BestFriend] + private bool IsDispatchingToOneDalEnabled() + { + return OneDalUtils.IsDispatchingEnabled(); + } + [BestFriend] private void TrainCoreOneDal(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { diff --git a/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs b/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs index 83e5316ffc..57d32ff80b 100644 --- a/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs +++ b/src/Microsoft.ML.Mkl.Components/OlsLinearRegression.cs @@ -64,7 +64,6 @@ namespace Microsoft.ML.Trainers /// /// /// - [BestFriend] public sealed class OlsTrainer : TrainerEstimatorBase, OlsModelParameters> { /// @@ -193,6 +192,7 @@ public static extern unsafe void RidgeRegressionOnlineFinalize(void* featuresPtr float l2Reg, void* partialResultPtr, int partialResultSize, void* betaPtr, void* xtyPtr, void* xtxPtr); } + [BestFriend] private void ComputeOneDalRegression(IChannel ch, FloatLabelCursor.Factory cursorFactory, int m, ref Double[] beta, Double[] xtx, ref long n, ref Double yMean) { var xty = new Double[m]; @@ -406,6 +406,12 @@ private void ComputeMklRegression(IChannel ch, FloatLabelCursor.Factory cursorFa xty = null; } + [BestFriend] + private bool IsDispatchingToOneDalEnabled() + { + return OneDalUtils.IsDispatchingEnabled(); + } + private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory cursorFactory, int featureCount) { Host.AssertValue(ch); @@ -426,7 +432,7 @@ private OlsModelParameters TrainCore(IChannel ch, FloatLabelCursor.Factory curso var beta = new Double[m]; Double yMean = 0; - if (OneDalUtils.IsDispatchingEnabled()) + if (IsDispatchingToOneDalEnabled()) { ComputeOneDalRegression(ch, cursorFactory, m, ref beta, xtx, ref n, ref yMean); } From dbfb7925762f2fa304abb36366517d7128212fd0 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Tue, 22 Nov 2022 19:23:28 +0000 Subject: [PATCH 25/60] Fix usage of onedalutils n4 --- src/Microsoft.ML.OneDal/OneDalUtils.cs | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/Microsoft.ML.OneDal/OneDalUtils.cs b/src/Microsoft.ML.OneDal/OneDalUtils.cs index 4f34b7af04..2e4465eb9b 100644 --- a/src/Microsoft.ML.OneDal/OneDalUtils.cs +++ b/src/Microsoft.ML.OneDal/OneDalUtils.cs @@ -15,12 +15,14 @@ namespace Microsoft.ML.OneDal [BestFriend] internal static class OneDalUtils { + [BestFriend] internal static bool IsDispatchingEnabled() { return Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64; } + [BestFriend] internal static long GetTrainData(IChannel channel, FloatLabelCursor.Factory cursorFactory, ref List featuresList, ref List labelsList, int numberOfFeatures) { long n = 0; From 057c0e93416691ff0a6f5c5aec4ac1124a07c581 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Wed, 23 Nov 2022 09:39:42 +0000 Subject: [PATCH 26/60] Fix win compile options --- src/Native/OneDalNative/CMakeLists.txt | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index 4957fed30b..0231a86b27 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -16,9 +16,11 @@ endif() # headers include_directories(${ONEDAL_DEVEL_PATH}/include) -add_compile_options(/wd4996) -add_compile_options(/wd4477) -add_compile_options(/wd4267) +if(WIN32) + add_compile_options(/wd4996) + add_compile_options(/wd4477) + add_compile_options(/wd4267) +endif() set(SOURCES OneDalAlgorithms.cpp) add_library(OneDalNative SHARED ${SOURCES} ${RESOURCES}) From 0428e6982a3cf2a696893832998189ed64615763 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Sun, 4 Dec 2022 12:43:26 -0800 Subject: [PATCH 27/60] Corrected some formatting issues --- src/Microsoft.ML.OneDal/OneDalCatalog.cs | 2 +- src/Microsoft.ML.OneDal/OneDalUtils.cs | 10 +++++----- src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs | 2 +- .../Standard/LogisticRegression/LbfgsPredictorBase.cs | 4 ++-- 4 files changed, 9 insertions(+), 9 deletions(-) diff --git a/src/Microsoft.ML.OneDal/OneDalCatalog.cs b/src/Microsoft.ML.OneDal/OneDalCatalog.cs index 6a0ef1a18f..98fa94d05e 100644 --- a/src/Microsoft.ML.OneDal/OneDalCatalog.cs +++ b/src/Microsoft.ML.OneDal/OneDalCatalog.cs @@ -1,4 +1,4 @@ -// Licensed to the .NET Foundation under one or more agreements. +ļ»æ// 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. diff --git a/src/Microsoft.ML.OneDal/OneDalUtils.cs b/src/Microsoft.ML.OneDal/OneDalUtils.cs index 2e4465eb9b..434613ac0f 100644 --- a/src/Microsoft.ML.OneDal/OneDalUtils.cs +++ b/src/Microsoft.ML.OneDal/OneDalUtils.cs @@ -1,14 +1,14 @@ -// Licensed to the .NET Foundation under one or more agreements. +ļ»æ// 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 System; -using System.Linq; using System.Collections.Generic; +using System.Linq; using System.Runtime.InteropServices; +using Microsoft.ML.Internal.Utilities; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers; -using Microsoft.ML.Internal.Utilities; namespace Microsoft.ML.OneDal { @@ -18,7 +18,7 @@ internal static class OneDalUtils [BestFriend] internal static bool IsDispatchingEnabled() { - return Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && + return Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64; } @@ -67,4 +67,4 @@ internal static long GetTrainData(IChannel channel, FloatLabelCursor.Factory cur return n; } } -} \ No newline at end of file +} diff --git a/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs b/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs index 1d98cbbfae..49fde74709 100644 --- a/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs +++ b/src/Microsoft.ML.OneDal/Properties/AssemblyInfo.cs @@ -1,4 +1,4 @@ -// Licensed to the .NET Foundation under one or more agreements. +ļ»æ// 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. diff --git a/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs b/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs index 33ad222e26..5de100fba6 100644 --- a/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs +++ b/src/Microsoft.ML.StandardTrainers/Standard/LogisticRegression/LbfgsPredictorBase.cs @@ -4,8 +4,8 @@ using System; using System.Collections.Generic; -using System.Threading.Tasks; using System.Runtime.InteropServices; +using System.Threading.Tasks; using Microsoft.ML.CommandLine; using Microsoft.ML.Data; using Microsoft.ML.EntryPoints; @@ -439,7 +439,7 @@ private protected override TModel TrainModelCore(TrainContext context) using (var ch = Host.Start("Training")) { - if (Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && + if (Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64) { TrainCoreOneDal(ch, data); From 62d388069dfe1291258eb139a72089c00de5e2c2 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Sun, 4 Dec 2022 15:58:12 -0800 Subject: [PATCH 28/60] The logic (on linux) to download nuget packages --- eng/Versions.props | 9 +++++++++ eng/common/tools.sh | 33 +++++++++++++++++++++++++++++++++ 2 files changed, 42 insertions(+) diff --git a/eng/Versions.props b/eng/Versions.props index b42148e62c..6e0ed864db 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -40,11 +40,20 @@ 1.10.0 0.0.0.12 2023.0.0.22182 + + 2023.0.0.23046 2023.0.0.21926 + + 2023.0.0.23189 2021.8.0.9812 + + 2021.7.1.15005 2021.8.0.9986 1 1 diff --git a/eng/common/tools.sh b/eng/common/tools.sh index c110d0ed41..4ea4711867 100755 --- a/eng/common/tools.sh +++ b/eng/common/tools.sh @@ -448,9 +448,42 @@ function MSBuild { args+=( "-logger:$selectedPath" ) fi + Download-OneDAL + MSBuild-Core ${args[@]} } +function Download-OneDAL { + + packages=( + "inteldal.redist linux-x64 2023.0.0.23046" + "inteldal.devel win-x64 2023.0.0.23189" + "inteltbb.devel linux 2021.7.1.15005" + ) + + STAGE_DIR=$(mktemp -d) + #TARGET_DIR=$(mktemp -d) + ROOT_URL="https://globalcdn.nuget.org/packages" + TARGET_DIR=$_GetNuGetPackageCachePath + for i in $(seq ${#packages[@]}); do + idx=$((i-1)) + package_spec=(${packages[$idx]}) + dload_name="${package_spec[0]}.${package_spec[1]}.${package_spec[2]}.nupkg" + wget "$ROOT_URL/$dload_name" -O "$STAGE_DIR/$dload_name" + if [ -e $STAGE_DIR/$dload_name ]; then + dir_prefix="${STAGE_DIR}/${package_spec[0]}.${package_spec[1]}" + dir_name="${dir_prefix}/${package_spec[2]}" + echo "Should be creating directory $dir_name" + mkdir -p $dir_name + echo "Now uncompressing" + unzip $STAGE_DIR/$dload_name -d $dir_name + mv $dir_prefix $TARGET_DIR + else + echo "something went wrong when downloading $dload_name to $STAGE_DIR" + fi + done +} + function MSBuild-Core { if [[ "$ci" == true ]]; then if [[ "$binary_log" != true && "$exclude_ci_binary_log" != true ]]; then From 10a8aa2e6088862a9bf484ed23e0006dccb21e9d Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Sun, 4 Dec 2022 22:18:32 -0800 Subject: [PATCH 29/60] First cut trying to download packages on Windows --- eng/Versions.props | 14 ++++---------- eng/common/build.ps1 | 46 ++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 50 insertions(+), 10 deletions(-) diff --git a/eng/Versions.props b/eng/Versions.props index 6e0ed864db..bc34509b93 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -39,20 +39,14 @@ 1.0.0-beta.22504.6 1.10.0 0.0.0.12 - 2023.0.0.22182 - + 2023.0.0.23189 2023.0.0.23046 2023.0.0.21926 - 2023.0.0.23189 - 2021.8.0.9812 - + 2021.7.1.15305 2021.7.1.15005 2021.8.0.9986 1 diff --git a/eng/common/build.ps1 b/eng/common/build.ps1 index e0420a6427..c9665bda14 100644 --- a/eng/common/build.ps1 +++ b/eng/common/build.ps1 @@ -90,6 +90,7 @@ function InitializeCustomToolset { } function Build { + Download-OneDAL $toolsetBuildProj = InitializeToolset InitializeCustomToolset @@ -127,6 +128,51 @@ function Build { @properties } +function Download-OneDAL { + Add-Type -AssemblyName System.IO.Compression.FileSystem + $nuget_cache = GetNuGetPackageCachePath + $ROOT_URL="https://globalcdn.nuget.org/packages" + + $parent = [System.IO.Path]::GetTempPath() + $name = [System.IO.Path]::GetRandomFileName() + $STAGE_DIR = (Join-Path $parent $name) + New-Item -ItemType Directory -Path $STAGE_DIR + + $packages = @( + @("inteldal.redist", "win-x64", "2023.0.0.23189"), + @("inteldal.devel", "win-x64", "2023.0.0.23189"), + @("inteltbb.redist", "win", "2021.7.1.15305"), + @("inteltbb.devel", "win", "2021.7.1.15305") + ) + + for($i = 0; $i -le $packages.Count - 1; $i++) { + $package_spec=$packages[$i] + $dload_name= $package_spec[0] + "." + $package_spec[1] + "." + $package_spec[2] + ".nupkg" + $dload_uri=$ROOT_URL + "/" + $dload_name + $target_dload = $STAGE_DIR + "/" + $dload_name + Invoke-WebRequest $dload_uri -OutFile $target_dload + + if (Test-Path $target_dload) { + $dir_prefix=$STAGE_DIR + "/" + $package_spec[0] + "." + $package_spec[1] + $dir_name=$dir_prefix + "/" + $package_spec[2] + [System.IO.Directory]::CreateDirectory($dir_name) + [System.IO.Compression.ZipFile]::ExtractToDirectory($target_dload, $dir_name) + $final_path = (Join-Path $nuget_cache (($package_spec[0]) + "." + ($package_spec[1]))) + if (!(Test-Path $final_path)) { + New-Item -ItemType Directory -Path $final_path + } + + Move-Item -Force -Path $dir_name -Destination $final_path + + } else { + Write-Host "Couldn't download file: [" + $target_dload + "]" + } + } + + Write-Host "********************* Check output in $STAGE_DIR, moved to $nuget_cache *********************" + +} + try { if ($clean) { if (Test-Path $ArtifactsDir) { From cf678848d1fe12e7dacdaef43bd6ca19280de3f5 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Mon, 5 Dec 2022 03:56:06 -0800 Subject: [PATCH 30/60] Added a sample for OneDal Random forest --- Microsoft.ML.sln | 18 +- .../Microsoft.ML.Samples.OneDal.csproj | 54 +++++ .../Microsoft.ML.Samples.OneDal/Program.cs | 206 ++++++++++++++++++ .../Microsoft.ML.Samples.OneDal/run_bench.py | 113 ++++++++++ eng/common/tools.sh | 4 + 5 files changed, 394 insertions(+), 1 deletion(-) create mode 100755 docs/samples/Microsoft.ML.Samples.OneDal/Microsoft.ML.Samples.OneDal.csproj create mode 100644 docs/samples/Microsoft.ML.Samples.OneDal/Program.cs create mode 100644 docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py diff --git a/Microsoft.ML.sln b/Microsoft.ML.sln index d7ddef45fd..ec3443d490 100644 --- a/Microsoft.ML.sln +++ b/Microsoft.ML.sln @@ -1,4 +1,4 @@ -Microsoft Visual Studio Solution File, Format Version 12.00 +ļ»æMicrosoft Visual Studio Solution File, Format Version 12.00 # Visual Studio Version 17 VisualStudioVersion = 17.1.32120.378 MinimumVisualStudioVersion = 10.0.40219.1 @@ -161,6 +161,12 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tokenizers", " EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tokenizers.Tests", "test\Microsoft.ML.Tokenizers.Tests\Microsoft.ML.Tokenizers.Tests.csproj", "{C3D82402-F207-4F19-8C57-5AF0FBAF9682}" EndProject +Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "docs", "docs", "{E6411A2C-F88D-4A7E-9314-CC1495388BEB}" +EndProject +Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "samples", "samples", "{C9597D82-1FC0-41CE-9579-31714ABB431C}" +EndProject +Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.Samples.OneDal", "docs\samples\Microsoft.ML.Samples.OneDal\Microsoft.ML.Samples.OneDal.csproj", "{38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}" +EndProject Global GlobalSection(SolutionConfigurationPlatforms) = preSolution Debug|Any CPU = Debug|Any CPU @@ -757,6 +763,14 @@ Global {C3D82402-F207-4F19-8C57-5AF0FBAF9682}.Release|Any CPU.Build.0 = Release|Any CPU {C3D82402-F207-4F19-8C57-5AF0FBAF9682}.Release|x64.ActiveCfg = Release|Any CPU {C3D82402-F207-4F19-8C57-5AF0FBAF9682}.Release|x64.Build.0 = Release|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Debug|Any CPU.ActiveCfg = Debug|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Debug|Any CPU.Build.0 = Debug|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Debug|x64.ActiveCfg = Debug|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Debug|x64.Build.0 = Debug|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Release|Any CPU.ActiveCfg = Release|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Release|Any CPU.Build.0 = Release|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Release|x64.ActiveCfg = Release|Any CPU + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}.Release|x64.Build.0 = Release|Any CPU EndGlobalSection GlobalSection(SolutionProperties) = preSolution HideSolutionNode = FALSE @@ -835,6 +849,8 @@ Global {FF0BD187-4451-4A3B-934B-2AE3454896E2} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {BBC3A950-BD68-45AC-9DBD-A8F4D8847745} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {C3D82402-F207-4F19-8C57-5AF0FBAF9682} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4} + {C9597D82-1FC0-41CE-9579-31714ABB431C} = {E6411A2C-F88D-4A7E-9314-CC1495388BEB} + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31} = {C9597D82-1FC0-41CE-9579-31714ABB431C} EndGlobalSection GlobalSection(ExtensibilityGlobals) = postSolution SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D} diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/Microsoft.ML.Samples.OneDal.csproj b/docs/samples/Microsoft.ML.Samples.OneDal/Microsoft.ML.Samples.OneDal.csproj new file mode 100755 index 0000000000..527354dab4 --- /dev/null +++ b/docs/samples/Microsoft.ML.Samples.OneDal/Microsoft.ML.Samples.OneDal.csproj @@ -0,0 +1,54 @@ + + + + Exe + net7.0 + + false + + + + + + + + + + + + + + + + diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs b/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs new file mode 100644 index 0000000000..34b9ab47b0 --- /dev/null +++ b/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs @@ -0,0 +1,206 @@ +ļ»æusing System; +using System.Collections.Generic; +using System.Linq; +using Microsoft.ML; +using Microsoft.ML.Data; +using Microsoft.ML.Trainers; +using Microsoft.ML.Trainers.FastTree; +using Newtonsoft.Json; + +namespace Microsoft.ML.Samples.OneDal +{ + class Program + { + public static IDataView[] LoadData( + MLContext mlContext, string trainingFile, string testingFile, + string task, string label = "target", char separator = ',') + { + List dataList = new List(); + System.IO.StreamReader file = new System.IO.StreamReader(trainingFile); + string header = file.ReadLine(); + file.Close(); + string[] headerArray = header.Split(separator); + List columns = new List(); + foreach (string column in headerArray) + { + if (column == label) + { + if (task == "binary") + columns.Add(new TextLoader.Column(column, DataKind.Boolean, Array.IndexOf(headerArray, column))); + else + columns.Add(new TextLoader.Column(column, DataKind.Single, Array.IndexOf(headerArray, column))); + } + else + { + columns.Add(new TextLoader.Column(column, DataKind.Single, Array.IndexOf(headerArray, column))); + } + } + + var loader = mlContext.Data.CreateTextLoader( + separatorChar: separator, + hasHeader: true, + columns: columns.ToArray() + ); + dataList.Add(loader.Load(trainingFile)); + dataList.Add(loader.Load(testingFile)); + return dataList.ToArray(); + } + + public static string[] GetFeaturesArray(IDataView data, string labelName = "target") + { + List featuresList = new List(); + var nColumns = data.Schema.Count; + var columnsEnumerator = data.Schema.GetEnumerator(); + for (int i = 0; i < nColumns; i++) + { + columnsEnumerator.MoveNext(); + if (columnsEnumerator.Current.Name != labelName) + featuresList.Add(columnsEnumerator.Current.Name); + } + + return featuresList.ToArray(); + } + + public static double[] RunRandomForestClassification(MLContext mlContext, IDataView trainingData, IDataView testingData, string labelName, int numberOfTrees, int numberOfLeaves) + { + var featuresArray = GetFeaturesArray(trainingData, labelName); + var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); + var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); + var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); + + FastForestBinaryTrainer.Options options = new FastForestBinaryTrainer.Options(); + options.LabelColumnName = labelName; + options.FeatureColumnName = "Features"; + options.NumberOfTrees = numberOfTrees; + options.NumberOfLeaves = numberOfLeaves; + options.MinimumExampleCountPerLeaf = 5; + options.FeatureFraction = 1.0; + + var trainer = mlContext.BinaryClassification.Trainers.FastForest(options); + + ITransformer model = trainer.Fit(preprocessedTrainingData); + + IDataView trainingPredictions = model.Transform(preprocessedTrainingData); + var trainingMetrics = mlContext.BinaryClassification.EvaluateNonCalibrated(trainingPredictions, labelColumnName: labelName); + IDataView testingPredictions = model.Transform(preprocessedTestingData); + var testingMetrics = mlContext.BinaryClassification.EvaluateNonCalibrated(testingPredictions, labelColumnName: labelName); + + double[] metrics = new double[4]; + metrics[0] = trainingMetrics.Accuracy; + metrics[1] = testingMetrics.Accuracy; + metrics[2] = trainingMetrics.F1Score; + metrics[3] = testingMetrics.F1Score; + return metrics; + } + + public static double[] RunRandomForestRegression(MLContext mlContext, IDataView trainingData, IDataView testingData, string labelName, int numberOfTrees, int numberOfLeaves) + { + var featuresArray = GetFeaturesArray(trainingData, labelName); + var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); + var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); + var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); + + FastForestRegressionTrainer.Options options = new FastForestRegressionTrainer.Options(); + options.LabelColumnName = labelName; + options.FeatureColumnName = "Features"; + options.NumberOfTrees = numberOfTrees; + options.NumberOfLeaves = numberOfLeaves; + options.MinimumExampleCountPerLeaf = 5; + options.FeatureFraction = 1.0; + + var trainer = mlContext.Regression.Trainers.FastForest(options); + + ITransformer model = trainer.Fit(preprocessedTrainingData); + + IDataView trainingPredictions = model.Transform(preprocessedTrainingData); + var trainingMetrics = mlContext.Regression.Evaluate(trainingPredictions, labelColumnName: labelName); + IDataView testingPredictions = model.Transform(preprocessedTestingData); + var testingMetrics = mlContext.Regression.Evaluate(testingPredictions, labelColumnName: labelName); + + double[] metrics = new double[4]; + metrics[0] = trainingMetrics.RootMeanSquaredError; + metrics[1] = testingMetrics.RootMeanSquaredError; + metrics[2] = trainingMetrics.RSquared; + metrics[3] = testingMetrics.RSquared; + return metrics; + } + + public static double[] RunOLSRegression(MLContext mlContext, IDataView trainingData, IDataView testingData, string labelName) + { + var featuresArray = GetFeaturesArray(trainingData, labelName); + var preprocessingPipeline = mlContext.Transforms.Concatenate("Features", featuresArray); + var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); + var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); + + OlsTrainer.Options options = new OlsTrainer.Options(); + options.LabelColumnName = labelName; + options.FeatureColumnName = "Features"; + + var trainer = mlContext.Regression.Trainers.Ols(options); + + ITransformer model = trainer.Fit(preprocessedTrainingData); + + IDataView trainingPredictions = model.Transform(preprocessedTrainingData); + var trainingMetrics = mlContext.Regression.Evaluate(trainingPredictions, labelColumnName: labelName); + IDataView testingPredictions = model.Transform(preprocessedTestingData); + var testingMetrics = mlContext.Regression.Evaluate(testingPredictions, labelColumnName: labelName); + + double[] metrics = new double[4]; + metrics[0] = trainingMetrics.RootMeanSquaredError; + metrics[1] = testingMetrics.RootMeanSquaredError; + metrics[2] = trainingMetrics.RSquared; + metrics[3] = testingMetrics.RSquared; + return metrics; + } + + static void Main(string[] args) + { + // args[0] - training data filename + // args[1] - testing data filename + // args[2] - machine learning task (regression, binary) + // args[3] - machine learning algorithm (RandomForest, OLS) + // Random Forest parameters: + // args[4] - NumberOfTrees + // args[5] - NumberOfLeaves + var mlContext = new MLContext(seed: 42); + // data[0] - training subset + // data[1] - testing subset + IDataView[] data = LoadData(mlContext, args[0], args[1], args[2]); +#if false + string labelName = "target"; + + var mainWatch = System.Diagnostics.Stopwatch.StartNew(); + double[] metrics; + if (args[3] == "RandomForest") + { + int numberOfTrees = Int32.Parse(args[4]); + int numberOfLeaves = Int32.Parse(args[5]); + if (args[2] == "binary") + { + + metrics = RunRandomForestClassification(mlContext, data[0], data[1], labelName, numberOfTrees, numberOfLeaves); + mainWatch.Stop(); + Console.WriteLine("algorithm,all workflow time[ms],training accuracy,testing accuracy,training F1 score,testing F1 score"); + Console.WriteLine($"Random Forest Binary,{mainWatch.Elapsed.TotalMilliseconds},{metrics[0]},{metrics[1]},{metrics[2]},{metrics[3]}"); + } + else + { + metrics = RunRandomForestRegression(mlContext, data[0], data[1], labelName, numberOfTrees, numberOfLeaves); + mainWatch.Stop(); + Console.WriteLine("algorithm,all workflow time[ms],training RMSE,testing RMSE,training R2 score,testing R2 score"); + Console.WriteLine($"Random Forest Regression,{mainWatch.Elapsed.TotalMilliseconds},{metrics[0]},{metrics[1]},{metrics[2]},{metrics[3]}"); + } + } + else if (args[3] == "OLS") + { + metrics = RunOLSRegression(mlContext, data[0], data[1], labelName); + mainWatch.Stop(); + Console.WriteLine("algorithm,all workflow time[ms],training RMSE,testing RMSE,training R2 score,testing R2 score"); + Console.WriteLine($"OLS Regression,{mainWatch.Elapsed.TotalMilliseconds},{metrics[0]},{metrics[1]},{metrics[2]},{metrics[3]}"); + } +#endif + Console.WriteLine("**** Done!"); + } + } +} + diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py b/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py new file mode 100644 index 0000000000..698c687133 --- /dev/null +++ b/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py @@ -0,0 +1,113 @@ +import numpy as np +import pandas as pd +from sklearn.datasets import make_classification, make_regression +from sklearn.model_selection import train_test_split +import subprocess +import sys +import os +import io + + +RANDOM_STATE = 42 +np.random.seed(RANDOM_STATE) + + +def convert_to_csv(data, filename, label='target'): + data = pd.DataFrame(data, columns=[f'f{i}' for i in range(data.shape[1] - 1)] + ['target']) + data[label] = data[label].astype(int) + data.to_csv(filename, index=False) + + +def read_output_from_command(command, env): + res = subprocess.run(command.split(' '), stdout=subprocess.PIPE, + stderr=subprocess.PIPE, encoding='utf-8', env=env) + return res.stdout[:-1], res.stderr[:-1] + + +def run_case(n_samples, n_features, n_trees, n_leaves, n_runs, task_type): + data_params = { + 'n_samples': 2 * n_samples, + 'n_features': n_features, + 'n_informative': n_features // 2, + 'random_state': RANDOM_STATE + } + if task_type == 'binary': + x, y = make_classification(**data_params, class_sep=0.7) + elif task_type == 'regression': + x, y = make_regression(**data_params, noise=0.33) + + data = np.concatenate([x, y.reshape(-1, 1)], axis=1) + train_data, test_data = train_test_split(data, test_size=0.5, random_state=RANDOM_STATE) + + train_filename, test_filename = "synth_data_train.csv", "synth_data_test.csv" + convert_to_csv(train_data, train_filename) + convert_to_csv(test_data, test_filename) + + print(f'n_samples={n_samples}, n_features={n_features}, n_trees={n_trees}, n_leaves={n_leaves}') + + case_dict = {'algorithm': [f'Random Forest {task_type.capitalize()}'], + 'n samples': [n_samples], 'n features': [n_features], + 'n trees': [n_trees], 'n leaves': [n_leaves]} + + if task_type == 'binary': + metrics = ['accuracy', 'F1 score'] + elif task_type == 'regression': + metrics = ['RMSE', 'R2 score'] + metrics = ['all workflow time[ms]', f'training {metrics[0]}', f'testing {metrics[0]}', f'training {metrics[1]}', f'testing {metrics[1]}'] + metrics_map_template = {el: '{} ' + f'{el}' for el in metrics} + + result = None + for i in range(n_runs): + env_copy = os.environ.copy() + default_stdout, default_stderr = read_output_from_command(f'dotnet run {train_filename} {test_filename} {task_type} RandomForest {n_trees} {n_leaves}', env_copy) + + print('DEFAULT STDOUT:', default_stdout, 'DEFAULT STDERR:', default_stderr, sep='\n') + + default_res = io.StringIO(default_stdout + '\n') + default_res = pd.DataFrame(case_dict).merge(pd.read_csv(default_res)) + + env_copy['MLNET_BACKEND'] = 'ONEDAL' + optimized_stdout, optimized_stderr = read_output_from_command(f'dotnet run {train_filename} {test_filename} {task_type} RandomForest {n_trees} {n_leaves}', env_copy) + + print('OPTIMIZED STDOUT:', optimized_stdout, 'OPTIMIZED STDERR:', optimized_stderr, sep='\n') + + optimized_res = io.StringIO(optimized_stdout + '\n') + optimized_res = pd.read_csv(optimized_res) + + default_res = default_res.rename(columns={k: v.format('ML.NET') for k, v in metrics_map_template.items()}) + optimized_res = optimized_res.rename(columns={k: v.format('oneDAL') for k, v in metrics_map_template.items()}) + + if result is None: + result = default_res.merge(optimized_res) + else: + result = pd.concat([result, default_res.merge(optimized_res)], axis=0) + + all_columns = list(result.columns) + groupby_columns = list(case_dict.keys()) + metric_columns = list(result.columns) + for column in groupby_columns: + metric_columns.remove(column) + result = result.groupby(groupby_columns)[metric_columns].mean().reset_index() + + return result + +n_samples_range = [10000, 20000, 50000] +n_features_range = [8, 64, 256] +n_trees_range = [100, 200, 500] +n_leaves_range = [128, 256, 512] +n_runs = 5 + +result = None +for task_type in ['binary', 'regression']: + for n_samples in n_samples_range: + for n_features in n_features_range: + for n_trees in n_trees_range: + for n_leaves in n_leaves_range: + new_result = run_case(n_samples, n_features, n_trees, n_leaves, n_runs, task_type=task_type) + if result is None: + result = new_result + else: + result = pd.concat([result, new_result], axis=0) + +result.to_csv('result.csv', index=False) +result.to_csv(sys.stdout, index=False) diff --git a/eng/common/tools.sh b/eng/common/tools.sh index 4ea4711867..4352cb9b01 100755 --- a/eng/common/tools.sh +++ b/eng/common/tools.sh @@ -472,11 +472,15 @@ function Download-OneDAL { wget "$ROOT_URL/$dload_name" -O "$STAGE_DIR/$dload_name" if [ -e $STAGE_DIR/$dload_name ]; then dir_prefix="${STAGE_DIR}/${package_spec[0]}.${package_spec[1]}" + dir_at_target="${TARGET_DIR}/${package_spec[0]}.${package_spec[1]}" dir_name="${dir_prefix}/${package_spec[2]}" echo "Should be creating directory $dir_name" mkdir -p $dir_name echo "Now uncompressing" unzip $STAGE_DIR/$dload_name -d $dir_name + # TODO -- should probably check that these exist before downloading + # TODO -- also, this may blow away other versions of the libraries + rm -rf ${dir_at_target} mv $dir_prefix $TARGET_DIR else echo "something went wrong when downloading $dload_name to $STAGE_DIR" From 0c9a00ced0124a0cbd3e856e7f96134d96615059 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Mon, 5 Dec 2022 14:42:23 -0800 Subject: [PATCH 31/60] Move download functionality to msbuild --- eng/common/build.ps1 | 2 +- eng/common/tools.sh | 2 +- .../Microsoft.ML.OneDal.csproj | 15 +++++++++++++++ 3 files changed, 17 insertions(+), 2 deletions(-) diff --git a/eng/common/build.ps1 b/eng/common/build.ps1 index c9665bda14..55129adfb4 100644 --- a/eng/common/build.ps1 +++ b/eng/common/build.ps1 @@ -90,7 +90,7 @@ function InitializeCustomToolset { } function Build { - Download-OneDAL +# Download-OneDAL $toolsetBuildProj = InitializeToolset InitializeCustomToolset diff --git a/eng/common/tools.sh b/eng/common/tools.sh index 4352cb9b01..6bad728936 100755 --- a/eng/common/tools.sh +++ b/eng/common/tools.sh @@ -448,7 +448,7 @@ function MSBuild { args+=( "-logger:$selectedPath" ) fi - Download-OneDAL +# Download-OneDAL MSBuild-Core ${args[@]} } diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj index ab1cc7a4cb..e85e81d90c 100644 --- a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -30,4 +30,19 @@ + + + + + + + + + + + From d5f24428665a33b4daf91cda2c39d16dbd732de6 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Mon, 5 Dec 2022 15:44:06 -0800 Subject: [PATCH 32/60] OS-specific downloads --- src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj index e85e81d90c..b8f4e7f354 100644 --- a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -32,16 +32,14 @@ - - - - - + + + + + + From 16f7c7b219220e926f088140156db29c8d98c27a Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Mon, 5 Dec 2022 19:50:35 -0800 Subject: [PATCH 33/60] Revert changes to these files, as now using PackageDownloads instead --- eng/common/build.ps1 | 46 -------------------------------------------- eng/common/tools.sh | 37 ----------------------------------- 2 files changed, 83 deletions(-) diff --git a/eng/common/build.ps1 b/eng/common/build.ps1 index 55129adfb4..e0420a6427 100644 --- a/eng/common/build.ps1 +++ b/eng/common/build.ps1 @@ -90,7 +90,6 @@ function InitializeCustomToolset { } function Build { -# Download-OneDAL $toolsetBuildProj = InitializeToolset InitializeCustomToolset @@ -128,51 +127,6 @@ function Build { @properties } -function Download-OneDAL { - Add-Type -AssemblyName System.IO.Compression.FileSystem - $nuget_cache = GetNuGetPackageCachePath - $ROOT_URL="https://globalcdn.nuget.org/packages" - - $parent = [System.IO.Path]::GetTempPath() - $name = [System.IO.Path]::GetRandomFileName() - $STAGE_DIR = (Join-Path $parent $name) - New-Item -ItemType Directory -Path $STAGE_DIR - - $packages = @( - @("inteldal.redist", "win-x64", "2023.0.0.23189"), - @("inteldal.devel", "win-x64", "2023.0.0.23189"), - @("inteltbb.redist", "win", "2021.7.1.15305"), - @("inteltbb.devel", "win", "2021.7.1.15305") - ) - - for($i = 0; $i -le $packages.Count - 1; $i++) { - $package_spec=$packages[$i] - $dload_name= $package_spec[0] + "." + $package_spec[1] + "." + $package_spec[2] + ".nupkg" - $dload_uri=$ROOT_URL + "/" + $dload_name - $target_dload = $STAGE_DIR + "/" + $dload_name - Invoke-WebRequest $dload_uri -OutFile $target_dload - - if (Test-Path $target_dload) { - $dir_prefix=$STAGE_DIR + "/" + $package_spec[0] + "." + $package_spec[1] - $dir_name=$dir_prefix + "/" + $package_spec[2] - [System.IO.Directory]::CreateDirectory($dir_name) - [System.IO.Compression.ZipFile]::ExtractToDirectory($target_dload, $dir_name) - $final_path = (Join-Path $nuget_cache (($package_spec[0]) + "." + ($package_spec[1]))) - if (!(Test-Path $final_path)) { - New-Item -ItemType Directory -Path $final_path - } - - Move-Item -Force -Path $dir_name -Destination $final_path - - } else { - Write-Host "Couldn't download file: [" + $target_dload + "]" - } - } - - Write-Host "********************* Check output in $STAGE_DIR, moved to $nuget_cache *********************" - -} - try { if ($clean) { if (Test-Path $ArtifactsDir) { diff --git a/eng/common/tools.sh b/eng/common/tools.sh index 6bad728936..c110d0ed41 100755 --- a/eng/common/tools.sh +++ b/eng/common/tools.sh @@ -448,46 +448,9 @@ function MSBuild { args+=( "-logger:$selectedPath" ) fi -# Download-OneDAL - MSBuild-Core ${args[@]} } -function Download-OneDAL { - - packages=( - "inteldal.redist linux-x64 2023.0.0.23046" - "inteldal.devel win-x64 2023.0.0.23189" - "inteltbb.devel linux 2021.7.1.15005" - ) - - STAGE_DIR=$(mktemp -d) - #TARGET_DIR=$(mktemp -d) - ROOT_URL="https://globalcdn.nuget.org/packages" - TARGET_DIR=$_GetNuGetPackageCachePath - for i in $(seq ${#packages[@]}); do - idx=$((i-1)) - package_spec=(${packages[$idx]}) - dload_name="${package_spec[0]}.${package_spec[1]}.${package_spec[2]}.nupkg" - wget "$ROOT_URL/$dload_name" -O "$STAGE_DIR/$dload_name" - if [ -e $STAGE_DIR/$dload_name ]; then - dir_prefix="${STAGE_DIR}/${package_spec[0]}.${package_spec[1]}" - dir_at_target="${TARGET_DIR}/${package_spec[0]}.${package_spec[1]}" - dir_name="${dir_prefix}/${package_spec[2]}" - echo "Should be creating directory $dir_name" - mkdir -p $dir_name - echo "Now uncompressing" - unzip $STAGE_DIR/$dload_name -d $dir_name - # TODO -- should probably check that these exist before downloading - # TODO -- also, this may blow away other versions of the libraries - rm -rf ${dir_at_target} - mv $dir_prefix $TARGET_DIR - else - echo "something went wrong when downloading $dload_name to $STAGE_DIR" - fi - done -} - function MSBuild-Core { if [[ "$ci" == true ]]; then if [[ "$binary_log" != true && "$exclude_ci_binary_log" != true ]]; then From 4ab37dba02a778dc0afe5e72373069eee4ab2ed8 Mon Sep 17 00:00:00 2001 From: Alexander Andreev Date: Tue, 6 Dec 2022 14:52:17 +0000 Subject: [PATCH 34/60] Remove unused cmake variables --- src/Native/Native.proj | 2 -- src/Native/build.cmd | 4 ---- src/Native/gen-buildsys-win.bat | 2 +- 3 files changed, 1 insertion(+), 7 deletions(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 574869f7eb..c4feaec531 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -108,9 +108,7 @@ $(Configuration) $(TargetArchitecture) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps\$(MlNetMklDepsVersion)\runtimes\$(PackageRid)\native - $(BuildArgs) --onedalredistpath $(NuGetPackageRoot)inteldal.redist.$(PackageRid)\$(OneDalPkgVersion)\build\native\daal\latest $(BuildArgs) --onedaldevelpath $(NuGetPackageRoot)inteldal.devel.win-x64\$(OneDalDevelPkgVersion)\build\native\daal\latest - $(BuildArgs) --onetbbredistpath $(NuGetPackageRoot)inteltbb.redist.$(TbbSystem)\$(OneTbbPkgVersion)\runtimes\$(PackageRid)\native $(BuildArgs) --onetbbdevelpath $(NuGetPackageRoot)inteltbb.devel.$(TbbSystem)\$(OneTbbPkgVersion)\lib\native\$(PackageRid) diff --git a/src/Native/build.cmd b/src/Native/build.cmd index 536e4845a5..af85898bac 100644 --- a/src/Native/build.cmd +++ b/src/Native/build.cmd @@ -16,9 +16,7 @@ set __BuildArch=x64 set __VCBuildArch=x86_amd64 set CMAKE_BUILD_TYPE=Debug set MKL_LIB_PATH="" -set ONEDAL_REDIST_PATH="" set ONEDAL_DEVEL_PATH="" -set ONETBB_REDIST_PATH="" set ONETBB_DEVEL_PATH="" :Arg_Loop @@ -33,9 +31,7 @@ if /i [%1] == [arm] ( set __BuildArch=arm&&set __VCBuildArch=x86_arm&&sh if /i [%1] == [arm64] ( set __BuildArch=arm64&&set __VCBuildArch=x86_arm64&&shift&goto Arg_Loop) if /i [%1] == [--mkllibpath] ( set MKL_LIB_PATH=%2&&shift&goto Arg_Loop) -if /i [%1] == [--onedalredistpath] ( set ONEDAL_REDIST_PATH=%2&&shift&goto Arg_Loop) if /i [%1] == [--onedaldevelpath] ( set ONEDAL_DEVEL_PATH=%2&&shift&goto Arg_Loop) -if /i [%1] == [--onetbbredistpath] ( set ONETBB_REDIST_PATH=%2&&shift&goto Arg_Loop) if /i [%1] == [--onetbbdevelpath] ( set ONETBB_DEVEL_PATH=%2&&shift&goto Arg_Loop) shift goto :Arg_Loop diff --git a/src/Native/gen-buildsys-win.bat b/src/Native/gen-buildsys-win.bat index b34b3f90b9..4d4248200b 100644 --- a/src/Native/gen-buildsys-win.bat +++ b/src/Native/gen-buildsys-win.bat @@ -30,7 +30,7 @@ if /i "%3" == "x64" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A x64) if /i "%3" == "x86" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A Win32) if /i "%3" == "arm64" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A arm64) if /i "%3" == "arm" (set __ExtraCmakeParams=%__ExtraCmakeParams% -A arm) -"%CMakePath%" "-DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE%" "-DCMAKE_INSTALL_PREFIX=%__CMakeBinDir%" "-DMKL_LIB_PATH=%MKL_LIB_PATH%" "-DONEDAL_REDIST_PATH=%ONEDAL_REDIST_PATH%" "-DONEDAL_DEVEL_PATH=%ONEDAL_DEVEL_PATH%" "-DONETBB_REDIST_PATH=%ONETBB_LIB_PATH%" "-DONETBB_DEVEL_PATH=%ONETBB_DEVEL_PATH%" "-DARCHITECTURE=%3" -G "Visual Studio %__VSString%" %__ExtraCmakeParams% -B. -H%1 +"%CMakePath%" "-DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE%" "-DCMAKE_INSTALL_PREFIX=%__CMakeBinDir%" "-DMKL_LIB_PATH=%MKL_LIB_PATH%" "-DONEDAL_DEVEL_PATH=%ONEDAL_DEVEL_PATH%" "-DONETBB_DEVEL_PATH=%ONETBB_DEVEL_PATH%" "-DARCHITECTURE=%3" -G "Visual Studio %__VSString%" %__ExtraCmakeParams% -B. -H%1 endlocal GOTO :DONE From 5875e317756985228d866e3646e5142b0ab1dcba Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Wed, 7 Dec 2022 22:35:42 -0800 Subject: [PATCH 35/60] Restore accessibility of ctor in favor of changes in AssemblyInfo --- src/Microsoft.ML.FastTree/Properties/AssemblyInfo.cs | 1 + src/Microsoft.ML.FastTree/RandomForestClassification.cs | 6 +++--- src/Microsoft.ML.FastTree/RandomForestRegression.cs | 4 ++-- .../TreeEnsemble/InternalRegressionTree.cs | 8 ++++---- 4 files changed, 10 insertions(+), 9 deletions(-) diff --git a/src/Microsoft.ML.FastTree/Properties/AssemblyInfo.cs b/src/Microsoft.ML.FastTree/Properties/AssemblyInfo.cs index 4a1575a5aa..3c6bf1a860 100644 --- a/src/Microsoft.ML.FastTree/Properties/AssemblyInfo.cs +++ b/src/Microsoft.ML.FastTree/Properties/AssemblyInfo.cs @@ -9,6 +9,7 @@ [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Predictor.Tests" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.LightGbm" + PublicKey.Value)] +[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OneDal" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Sweeper" + PublicKey.Value)] [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Internal.FastTree" + InternalPublicKey.Value)] diff --git a/src/Microsoft.ML.FastTree/RandomForestClassification.cs b/src/Microsoft.ML.FastTree/RandomForestClassification.cs index edb4ce5339..74957f9aea 100644 --- a/src/Microsoft.ML.FastTree/RandomForestClassification.cs +++ b/src/Microsoft.ML.FastTree/RandomForestClassification.cs @@ -3,19 +3,19 @@ // See the LICENSE file in the project root for more information. using System; -using System.Linq; using System.Collections.Generic; +using System.Linq; using System.Runtime.InteropServices; using Microsoft.ML; -using Microsoft.ML.Internal.Utilities; using Microsoft.ML.Calibrators; using Microsoft.ML.CommandLine; using Microsoft.ML.Data; using Microsoft.ML.EntryPoints; +using Microsoft.ML.Internal.Utilities; using Microsoft.ML.Model; +using Microsoft.ML.OneDal; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers.FastTree; -using Microsoft.ML.OneDal; [assembly: LoadableClass(FastForestBinaryTrainer.Summary, typeof(FastForestBinaryTrainer), typeof(FastForestBinaryTrainer.Options), new[] { typeof(SignatureBinaryClassifierTrainer), typeof(SignatureTrainer), typeof(SignatureTreeEnsembleTrainer), typeof(SignatureFeatureScorerTrainer) }, diff --git a/src/Microsoft.ML.FastTree/RandomForestRegression.cs b/src/Microsoft.ML.FastTree/RandomForestRegression.cs index 31ed90189f..4598b13aae 100644 --- a/src/Microsoft.ML.FastTree/RandomForestRegression.cs +++ b/src/Microsoft.ML.FastTree/RandomForestRegression.cs @@ -3,8 +3,8 @@ // See the LICENSE file in the project root for more information. using System; -using System.Linq; using System.Collections.Generic; +using System.Linq; using System.Runtime.InteropServices; using Microsoft.ML; using Microsoft.ML.CommandLine; @@ -13,9 +13,9 @@ using Microsoft.ML.Internal.Utilities; using Microsoft.ML.Model; using Microsoft.ML.Model.OnnxConverter; +using Microsoft.ML.OneDal; using Microsoft.ML.Runtime; using Microsoft.ML.Trainers.FastTree; -using Microsoft.ML.OneDal; [assembly: LoadableClass(FastForestRegressionTrainer.Summary, typeof(FastForestRegressionTrainer), typeof(FastForestRegressionTrainer.Options), new[] { typeof(SignatureRegressorTrainer), typeof(SignatureTrainer), typeof(SignatureTreeEnsembleTrainer), typeof(SignatureFeatureScorerTrainer) }, diff --git a/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs b/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs index e325861e2f..02a3cdb36e 100644 --- a/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs +++ b/src/Microsoft.ML.FastTree/TreeEnsemble/InternalRegressionTree.cs @@ -189,10 +189,10 @@ public static InternalRegressionTree Create(int numLeaves, int[] splitFeatures, } } - protected InternalRegressionTree(int[] splitFeatures, double[] splitGain, double[] gainPValue, - float[] rawThresholds, float[] defaultValueForMissing, int[] lteChild, int[] gtChild, double[] leafValues, - int[][] categoricalSplitFeatures, bool[] categoricalSplit) - : this() + internal InternalRegressionTree(int[] splitFeatures, double[] splitGain, double[] gainPValue, +float[] rawThresholds, float[] defaultValueForMissing, int[] lteChild, int[] gtChild, double[] leafValues, +int[][] categoricalSplitFeatures, bool[] categoricalSplit) +: this() { Contracts.CheckParam(Utils.Size(splitFeatures) > 0, nameof(splitFeatures), "Number of split features must be positive"); From 075b48e58afc242fdb1d66f80e85ecfeba9daec2 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Sun, 11 Dec 2022 21:52:29 -0800 Subject: [PATCH 36/60] dependencies of benchmark driver --- docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt b/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt new file mode 100644 index 0000000000..5ab9999be1 --- /dev/null +++ b/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt @@ -0,0 +1,3 @@ +numpy +pandas +sklearn From d0de9916ad6d83c4157c6bcc5e8c5052117ce3a1 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Sun, 11 Dec 2022 22:38:52 -0800 Subject: [PATCH 37/60] Small driver that installs dependencies and runs benchmarking scripts --- docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 b/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 new file mode 100644 index 0000000000..4846b52531 --- /dev/null +++ b/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 @@ -0,0 +1,8 @@ +$VENV_NAME=".venv" +# $PYTHON_NAME="python3" +$PYTHON_NAME="python" +Write-Host ("Should be installing in directory [" + $VENV_NAME + "]") +& $PYTHON_NAME -m venv $VENV_NAME +& ($VENV_NAME + "/bin/Activate.ps1") +& $PYTHON_NAME -m pip install -r requirements.txt +& $PYTHON_NAME run_bench.py From 42012ba6e1d6c2feef7955bbe0697b95d92e967b Mon Sep 17 00:00:00 2001 From: "R.G.Esteves" Date: Mon, 12 Dec 2022 13:44:39 -0800 Subject: [PATCH 38/60] Guard onedal as exclusive of x64 arch --- .../BaselineOutput/Common/EntryPoints/core_manifest.json | 9 +++++++++ .../Microsoft.ML.Core.Tests.csproj | 2 +- .../Microsoft.ML.IntegrationTests.csproj | 2 +- .../Microsoft.ML.NightlyBuild.Tests.csproj | 2 +- .../Microsoft.ML.TestFramework.csproj | 2 +- test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj | 2 +- 6 files changed, 14 insertions(+), 5 deletions(-) diff --git a/test/BaselineOutput/Common/EntryPoints/core_manifest.json b/test/BaselineOutput/Common/EntryPoints/core_manifest.json index ba235d72c3..3dbaad5989 100644 --- a/test/BaselineOutput/Common/EntryPoints/core_manifest.json +++ b/test/BaselineOutput/Common/EntryPoints/core_manifest.json @@ -15174,6 +15174,15 @@ "SortOrder": 150.0, "IsNullable": false, "Default": true + }, + { + "Name": "BatchSize", + "Type": "Int", + "Desc": "Number of entries in a batch when loading data (0 = auto).", + "Required": false, + "SortOrder": 150.0, + "IsNullable": false, + "Default": 0 } ], "Outputs": [ diff --git a/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj b/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj index b03c0f2169..3969b7238f 100644 --- a/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj +++ b/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj @@ -42,7 +42,7 @@ - + diff --git a/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj b/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj index c2b3b8cee8..bafda75fba 100644 --- a/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj +++ b/test/Microsoft.ML.IntegrationTests/Microsoft.ML.IntegrationTests.csproj @@ -40,7 +40,7 @@ - + diff --git a/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj b/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj index faca86a110..3997e12a2d 100644 --- a/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj +++ b/test/Microsoft.ML.NightlyBuild.Tests/Microsoft.ML.NightlyBuild.Tests.csproj @@ -22,7 +22,7 @@ - + diff --git a/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj b/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj index 7340a62023..f63c5ea0b6 100644 --- a/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj +++ b/test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj @@ -28,7 +28,7 @@ - + diff --git a/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj b/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj index a693d070e5..25633f57d2 100644 --- a/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj +++ b/test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj @@ -49,7 +49,7 @@ - + From db39a8f6c0ef63b2533f09b5a4e9197b9ea69c3a Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 13 Dec 2022 11:02:19 -0800 Subject: [PATCH 39/60] Consider MacOS builds --- eng/Versions.props | 4 ++-- src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj | 3 +++ 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/eng/Versions.props b/eng/Versions.props index 745fac7dd9..63852aa418 100644 --- a/eng/Versions.props +++ b/eng/Versions.props @@ -44,11 +44,11 @@ --> 2023.0.0.23189 2023.0.0.23046 - 2023.0.0.21926 + 2023.0.0.22995 2023.0.0.23189 2021.7.1.15305 2021.7.1.15005 - 2021.8.0.9986 + 2021.7.1.14939 1 1 2.1.0 diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj index b8f4e7f354..2d94293f15 100644 --- a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -37,6 +37,9 @@ + + + From 858be569b344ae1ea367528460f53ea682467d14 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 13 Dec 2022 12:11:21 -0800 Subject: [PATCH 40/60] Only build OneDal in x64 architectures --- src/Native/CMakeLists.txt | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/Native/CMakeLists.txt b/src/Native/CMakeLists.txt index e9f3514732..7d9573c1c8 100644 --- a/src/Native/CMakeLists.txt +++ b/src/Native/CMakeLists.txt @@ -258,10 +258,13 @@ if(NOT ${ARCHITECTURE} MATCHES "arm.*") add_subdirectory(CpuMathNative) add_subdirectory(FastTreeNative) add_subdirectory(MklProxyNative) - add_subdirectory(OneDalNative) # TODO: once we fix the 4 intel MKL methods, SymSgdNative will need to go back in. add_subdirectory(SymSgdNative) endif() +if(IS_64BIT_BUILD) + add_subdirectory(OneDalNative) +endif() + add_subdirectory(LdaNative) add_subdirectory(MatrixFactorizationNative) From 6fb303b822304f9892e22ceb5d4bc10566177dcc Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 13 Dec 2022 12:58:45 -0800 Subject: [PATCH 41/60] The IS_64BIT_BUILD guard didn't work, switching to string comp --- src/Native/CMakeLists.txt | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/Native/CMakeLists.txt b/src/Native/CMakeLists.txt index 7d9573c1c8..bc9f97d469 100644 --- a/src/Native/CMakeLists.txt +++ b/src/Native/CMakeLists.txt @@ -262,9 +262,10 @@ if(NOT ${ARCHITECTURE} MATCHES "arm.*") add_subdirectory(SymSgdNative) endif() -if(IS_64BIT_BUILD) - add_subdirectory(OneDalNative) +if(${ARCHITECTURE} STREQUAL "x64") + add_subdirectory(OneDalNative) endif() + add_subdirectory(LdaNative) add_subdirectory(MatrixFactorizationNative) From ad499b2d0be827dba7ec03da37f8d605e20a4fb5 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 13 Dec 2022 14:16:33 -0800 Subject: [PATCH 42/60] Accomodate arch reporting on mac --- src/Native/CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Native/CMakeLists.txt b/src/Native/CMakeLists.txt index bc9f97d469..d6d130a2ac 100644 --- a/src/Native/CMakeLists.txt +++ b/src/Native/CMakeLists.txt @@ -262,7 +262,7 @@ if(NOT ${ARCHITECTURE} MATCHES "arm.*") add_subdirectory(SymSgdNative) endif() -if(${ARCHITECTURE} STREQUAL "x64") +if(${ARCHITECTURE} MATCHES "[xX].*64") add_subdirectory(OneDalNative) endif() From 13b8931d2cf777cadff281a5f95aac4c5a5a673b Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 13 Dec 2022 14:53:44 -0800 Subject: [PATCH 43/60] Activate OneDal only on x64 --- src/Native/CMakeLists.txt | 1 - src/Native/Native.proj | 8 ++++---- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/src/Native/CMakeLists.txt b/src/Native/CMakeLists.txt index d6d130a2ac..babb7fcaf6 100644 --- a/src/Native/CMakeLists.txt +++ b/src/Native/CMakeLists.txt @@ -266,6 +266,5 @@ if(${ARCHITECTURE} MATCHES "[xX].*64") add_subdirectory(OneDalNative) endif() - add_subdirectory(LdaNative) add_subdirectory(MatrixFactorizationNative) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index c4feaec531..6d7ee20875 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -135,17 +135,17 @@ DestinationFolder="$(NativeAssetsBuiltPath)" /> - - - - From afae3eac8570536718cb5bb5343b15ed0772a8d8 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Wed, 14 Dec 2022 00:00:07 -0800 Subject: [PATCH 44/60] Only pass build parameters for onedal in x64 --- src/Native/Native.proj | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 6d7ee20875..1b37baeab6 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -85,7 +85,8 @@ --configuration $(Configuration) --arch $(TargetArchitecture) $(StripArgs) - + + $(BuildArgs) --mkllibpath $(NuGetPackageRoot)mlnetmkldeps/$(MlNetMklDepsVersion)/runtimes/$(PackageRid)/native From 6f47eac9f26d5542d99a7cef2a366cdec82c12ad Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Wed, 14 Dec 2022 05:35:03 -0800 Subject: [PATCH 46/60] Avoid CMake 'var not used' error --- src/Native/CMakeLists.txt | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/Native/CMakeLists.txt b/src/Native/CMakeLists.txt index babb7fcaf6..6624e63503 100644 --- a/src/Native/CMakeLists.txt +++ b/src/Native/CMakeLists.txt @@ -260,10 +260,14 @@ if(NOT ${ARCHITECTURE} MATCHES "arm.*") add_subdirectory(MklProxyNative) # TODO: once we fix the 4 intel MKL methods, SymSgdNative will need to go back in. add_subdirectory(SymSgdNative) -endif() + endif() if(${ARCHITECTURE} MATCHES "[xX].*64") add_subdirectory(OneDalNative) +else() + if (DEFINED ONEDAL_DEVEL_PATH) + message("Path to OneDal library defined [${ONEDAL_DEVEL_PATH}] but it is not being built on this arch.") + endif() endif() add_subdirectory(LdaNative) From 07be9f3daa7c3a01e0b7dc0ea7e5d03d1ab3ea71 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Wed, 14 Dec 2022 14:30:37 -0800 Subject: [PATCH 47/60] Copy OneDal wrapper only on x64 architectures --- src/Native/Native.proj | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index b677e76ad2..af9a9e5414 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -187,7 +187,7 @@ RelativePath="Microsoft.ML.Mkl.Redist\runtimes\$(PackageRid)\native" /> - From 27827c1bc4fc55afdb63073ee42d0140a622e07f Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Thu, 15 Dec 2022 01:05:14 -0800 Subject: [PATCH 48/60] OS-specific download (instead of same payload for linux/macos) --- docs/samples/Microsoft.ML.Samples.OneDal/Program.cs | 3 +-- docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt | 2 +- src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj | 8 ++++---- 3 files changed, 6 insertions(+), 7 deletions(-) diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs b/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs index 34b9ab47b0..93d5960d88 100644 --- a/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs +++ b/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs @@ -166,7 +166,6 @@ static void Main(string[] args) // data[0] - training subset // data[1] - testing subset IDataView[] data = LoadData(mlContext, args[0], args[1], args[2]); -#if false string labelName = "target"; var mainWatch = System.Diagnostics.Stopwatch.StartNew(); @@ -198,7 +197,7 @@ static void Main(string[] args) Console.WriteLine("algorithm,all workflow time[ms],training RMSE,testing RMSE,training R2 score,testing R2 score"); Console.WriteLine($"OLS Regression,{mainWatch.Elapsed.TotalMilliseconds},{metrics[0]},{metrics[1]},{metrics[2]},{metrics[3]}"); } -#endif + Console.WriteLine("**** Done!"); } } diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt b/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt index 5ab9999be1..ad5443d796 100644 --- a/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt +++ b/docs/samples/Microsoft.ML.Samples.OneDal/requirements.txt @@ -1,3 +1,3 @@ numpy pandas -sklearn +scikit-learn diff --git a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj index 2d94293f15..e7f76150a0 100644 --- a/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj +++ b/src/Microsoft.ML.OneDal/Microsoft.ML.OneDal.csproj @@ -34,11 +34,11 @@ - - + + - - + + From e7368d761afcb89d2df8bd2ba70f5ed95524c54d Mon Sep 17 00:00:00 2001 From: Michael Sharp Date: Thu, 15 Dec 2022 15:44:49 -0700 Subject: [PATCH 49/60] fixed sln file --- Microsoft.ML.sln | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/Microsoft.ML.sln b/Microsoft.ML.sln index ec3443d490..ec509b081e 100644 --- a/Microsoft.ML.sln +++ b/Microsoft.ML.sln @@ -92,6 +92,8 @@ EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Samples", "docs\samples\Microsoft.ML.Samples\Microsoft.ML.Samples.csproj", "{ECB71297-9DF1-48CE-B93A-CD969221F9B6}" EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.SamplesUtils", "src\Microsoft.ML.SamplesUtils\Microsoft.ML.SamplesUtils.csproj", "{11A5210E-2EA7-42F1-80DB-827762E9C781}" +Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Samples.OneDal", "docs\samples\Microsoft.ML.Samples.OneDal\Microsoft.ML.Samples.OneDal.csproj", "{38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}" +EndProject EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Recommender", "src\Microsoft.ML.Recommender\Microsoft.ML.Recommender.csproj", "{C8E1772B-DFD9-4A4D-830D-6AAB1C668BB3}" EndProject @@ -161,12 +163,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tokenizers", " EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tokenizers.Tests", "test\Microsoft.ML.Tokenizers.Tests\Microsoft.ML.Tokenizers.Tests.csproj", "{C3D82402-F207-4F19-8C57-5AF0FBAF9682}" EndProject -Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "docs", "docs", "{E6411A2C-F88D-4A7E-9314-CC1495388BEB}" -EndProject -Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "samples", "samples", "{C9597D82-1FC0-41CE-9579-31714ABB431C}" -EndProject -Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.Samples.OneDal", "docs\samples\Microsoft.ML.Samples.OneDal\Microsoft.ML.Samples.OneDal.csproj", "{38ED61F4-FA22-4DE9-B0C4-91F327F4EE31}" -EndProject Global GlobalSection(SolutionConfigurationPlatforms) = preSolution Debug|Any CPU = Debug|Any CPU @@ -849,8 +845,7 @@ Global {FF0BD187-4451-4A3B-934B-2AE3454896E2} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {BBC3A950-BD68-45AC-9DBD-A8F4D8847745} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {C3D82402-F207-4F19-8C57-5AF0FBAF9682} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4} - {C9597D82-1FC0-41CE-9579-31714ABB431C} = {E6411A2C-F88D-4A7E-9314-CC1495388BEB} - {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31} = {C9597D82-1FC0-41CE-9579-31714ABB431C} + {38ED61F4-FA22-4DE9-B0C4-91F327F4EE31} = {DA452A53-2E94-4433-B08C-041EDEC729E6} EndGlobalSection GlobalSection(ExtensibilityGlobals) = postSolution SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D} From e9c14365d46b22f6a10ff1cb07d658d3f7cc6e35 Mon Sep 17 00:00:00 2001 From: "R.G.Esteves" Date: Thu, 15 Dec 2022 21:43:11 -0800 Subject: [PATCH 50/60] A better range for average memory requirements, extra output breaks benchmark parsing --- docs/samples/Microsoft.ML.Samples.OneDal/Program.cs | 2 -- docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py | 8 ++++---- .../samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 | 10 ++++++++-- 3 files changed, 12 insertions(+), 8 deletions(-) diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs b/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs index 93d5960d88..3d834630a6 100644 --- a/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs +++ b/docs/samples/Microsoft.ML.Samples.OneDal/Program.cs @@ -197,8 +197,6 @@ static void Main(string[] args) Console.WriteLine("algorithm,all workflow time[ms],training RMSE,testing RMSE,training R2 score,testing R2 score"); Console.WriteLine($"OLS Regression,{mainWatch.Elapsed.TotalMilliseconds},{metrics[0]},{metrics[1]},{metrics[2]},{metrics[3]}"); } - - Console.WriteLine("**** Done!"); } } } diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py b/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py index 698c687133..f38b229975 100644 --- a/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py +++ b/docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py @@ -91,10 +91,10 @@ def run_case(n_samples, n_features, n_trees, n_leaves, n_runs, task_type): return result -n_samples_range = [10000, 20000, 50000] -n_features_range = [8, 64, 256] -n_trees_range = [100, 200, 500] -n_leaves_range = [128, 256, 512] +n_samples_range = [5000, 10000] +n_features_range = [8, 64] +n_trees_range = [100] +n_leaves_range = [128] n_runs = 5 result = None diff --git a/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 b/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 index 4846b52531..8b9a720a3d 100644 --- a/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 +++ b/docs/samples/Microsoft.ML.Samples.OneDal/run_sample.ps1 @@ -1,8 +1,14 @@ +$LIBS_LOCATION="..\..\..\artifacts\bin\Native\x64.Debug" +#ls $LIBS_LOCATION $VENV_NAME=".venv" # $PYTHON_NAME="python3" $PYTHON_NAME="python" Write-Host ("Should be installing in directory [" + $VENV_NAME + "]") & $PYTHON_NAME -m venv $VENV_NAME -& ($VENV_NAME + "/bin/Activate.ps1") -& $PYTHON_NAME -m pip install -r requirements.txt +& ($VENV_NAME + "/Scripts/Activate.ps1") +& $PYTHON_NAME -m pip --proxy http://proxy-chain.intel.com:911 install -r requirements.txt +#$env:PATH=("..\..\artifacts\bin\Native\x64.Debug;" + $env:PATH) +$env:PATH=("$LIBS_LOCATION;" + $env:PATH) & $PYTHON_NAME run_bench.py +deactivate + From 371ccd9a9afd2478c278877173557587a8713b4b Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Fri, 16 Dec 2022 08:13:01 -0800 Subject: [PATCH 51/60] Adding a unit test for OneDAL, and updating the usage notes --- README-oneDAL.md | 18 +- .../TrainerEstimators/OneDalEstimators.cs | 78 + test/data/binary_synth_data_test.csv | 5001 +++++++++++++++++ test/data/binary_synth_data_train.csv | 5001 +++++++++++++++++ 4 files changed, 10081 insertions(+), 17 deletions(-) create mode 100644 test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs create mode 100644 test/data/binary_synth_data_test.csv create mode 100644 test/data/binary_synth_data_train.csv diff --git a/README-oneDAL.md b/README-oneDAL.md index 2596b2e898..3d90f2ad92 100644 --- a/README-oneDAL.md +++ b/README-oneDAL.md @@ -4,29 +4,13 @@ oneAPI Data Analytics Library (oneDAL) is a library providing highly optimized m [oneDAL Documentation](http://oneapi-src.github.io/oneDAL/) | [oneDAL Repository](https://github.com/oneapi-src/oneDAL) -[`onedal-integration`](https://github.com/dotnet/machinelearning/tree/onedal-integration) branch provides work-in-progress integration of oneDAL into ML.NET. +> Please note that OneDAL acceleration paths are only available in x64 architectures Integration consists of: * A "native" component (under `src/Native/Microsoft.ML.OneDal`) implementing wrapper to pass data and parameters to oneDAL; * Dispatching to oneDAL kernels inside relevant learners: `OLS` (`src/Microsoft.ML.Mkl.Components`), `Logistic Regression` (`src/Microsoft.ML.StandardTrainers`), `Random Forest` (`src/Microsoft.ML.FastTree`); -## Building from source - -This is instruction how to build ML.NET with integrated oneDAL on Linux, Windows and MacOS platforms: - -1. Clone oneDAL from `develop` branch: `git clone -b develop https://github.com/oneapi-src/oneDAL.git` - -2. Build oneDAL using [this instruction](https://github.com/oneapi-src/oneDAL/blob/develop/INSTALL.md) - -3. Produce Nuget packages using next command template: - - deploy/nuget/prepare_dal_nuget.sh --template ./deploy/nuget/inteldal.nuspec.tpl --release-dir __release_{system}[_{compiler}] --platform {system} --ver {version} --major-binary-ver 1 --minor-binary-ver 1 --build-nupkg yes - -4. Add source path for produced Nuget packages in ML.NET NuGet.Config by adding line to `packageSources`: `` - -5. Build ML.NET from source as usual. - ## Running ML.NET trainers with dispatching to oneDAL kernels Currently, dispatching to oneDAL inside ML.NET is regulated by `MLNET_BACKEND` environment variable. If it's set to `ONEDAL`, oneDAL kernel will be used, otherwise - default ML.NET. diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs new file mode 100644 index 0000000000..76e793adde --- /dev/null +++ b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs @@ -0,0 +1,78 @@ +ļ»æ// 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 System; +using System.Collections.Generic; +using System.Linq; +using System.Threading; +using System.Threading.Tasks; +using FluentAssertions; +using Microsoft.ML.Calibrators; +using Microsoft.ML.Data; +using Microsoft.ML.Internal.Utilities; +using Microsoft.ML.Model; +using Microsoft.ML.RunTests; +using Microsoft.ML.Runtime; +using Microsoft.ML.TestFramework.Attributes; +using Microsoft.ML.Trainers; +using Microsoft.ML.Trainers.FastTree; +using Microsoft.ML.Trainers.LightGbm; +using Microsoft.ML.Transforms; +using Xunit; + +namespace Microsoft.ML.Tests.TrainerEstimators +{ + public partial class TrainerEstimators : TestDataPipeBase + { + + [Fact] + public void OneDalFastTreeBinaryEstimator() + { + Environment.SetEnvironmentVariable("MLNET_BACKEND", "ONEDAL"); + var trainDataPath = GetDataPath("binary_synth_data_train.csv"); + var testDataPath = GetDataPath("binary_synth_data_test.csv"); + + var loader = ML.Data.CreateTextLoader(columns: new[] { + new TextLoader.Column("f0", DataKind.Single, 0), + new TextLoader.Column("f1", DataKind.Single, 1), + new TextLoader.Column("f2", DataKind.Single, 2), + new TextLoader.Column("f3", DataKind.Single, 3), + new TextLoader.Column("f4", DataKind.Single, 4), + new TextLoader.Column("f5", DataKind.Single, 5), + new TextLoader.Column("f6", DataKind.Single, 6), + new TextLoader.Column("f7", DataKind.Single, 7), + new TextLoader.Column("target", DataKind.Boolean,8)}, + separatorChar: ',', + hasHeader: true); + + var trainingData = loader.Load(trainDataPath); + var testingData = loader.Load(testDataPath); + + var preprocessingPipeline = ML.Transforms.Concatenate("Features", new string[] { "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7" }); + + var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); + var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); + + // Output.WriteLine($"**** After preprocessing the data got {preprocessedTrainingData.Schema.Count} columns."); + + FastForestBinaryTrainer.Options options = new FastForestBinaryTrainer.Options(); + options.LabelColumnName = "target"; + options.FeatureColumnName = "Features"; + options.NumberOfTrees = 100; + options.NumberOfLeaves = 128; + options.MinimumExampleCountPerLeaf = 5; + options.FeatureFraction = 1.0; + + var trainer = ML.BinaryClassification.Trainers.FastForest(options); + var model = trainer.Fit(preprocessedTrainingData); + var trainingPredictions = model.Transform(preprocessedTrainingData); + var trainingMetrics = ML.BinaryClassification.EvaluateNonCalibrated(trainingPredictions, labelColumnName: "target"); + var testingPredictions = model.Transform(preprocessedTestingData); + var testingMetrics = ML.BinaryClassification.EvaluateNonCalibrated(testingPredictions, labelColumnName: "target"); + + Assert.True(testingMetrics.Accuracy > 0.8); + } + + } +} diff --git a/test/data/binary_synth_data_test.csv b/test/data/binary_synth_data_test.csv new file mode 100644 index 0000000000..29fc571df0 --- /dev/null +++ b/test/data/binary_synth_data_test.csv @@ -0,0 +1,5001 @@ +f0,f1,f2,f3,f4,f5,f6,f7,target +1.1633166427312505,0.022990862677445323,0.28517976379506765,1.8802757697066639,-1.9444542047679902,-1.7916063212887294,0.2776266858836187,0.3326628862547896,0 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+-1.1344896256660377,-0.8144189417574389,-2.2829726815360396,-0.5349980391953473,1.5594227284957718,-0.21495207943419187,-0.9774213312953428,-1.3510764092102236,0 +-1.1899810830412143,0.6891035023819838,1.5263938587412433,0.5047993482756563,-2.216899064026368,-1.729632842455271,-0.32603850137333684,1.1898878742220058,0 +-0.5591351430738829,0.7264365970276327,1.880002701564135,0.6001400101093401,-2.503405550390651,-1.7733657967235321,-0.11745612753901513,1.4646081710869678,0 +-1.774834534533137,0.7281374846363506,-1.1536285585638777,-0.7891002207558883,-0.34379125078370465,-0.7758941610512429,-0.9983234577574773,-1.4577504618796298,0 +1.7041077725683165,-0.07323961875250173,0.35003796014247934,0.4220304590791439,2.203472790798693,1.7628505017390343,-0.813907977027803,0.5025823287273119,1 From 68f0a17013560ffdb35a7dba8652c3d01b76ac7e Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Fri, 16 Dec 2022 08:24:46 -0800 Subject: [PATCH 52/60] Fixed styling for oneDAL and small syntax nitpicks --- README-oneDAL.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-oneDAL.md b/README-oneDAL.md index 3d90f2ad92..17d05e687c 100644 --- a/README-oneDAL.md +++ b/README-oneDAL.md @@ -1,10 +1,10 @@ # oneDAL supported algorithms -oneAPI Data Analytics Library (oneDAL) is a library providing highly optimized machine learning and data analytics kernels. Part of these kernels is integrated into ML.NET via C++/C# interoperability. +oneAPI Data Analytics Library (oneDAL) is a library providing highly optimized machine learning and data analytics kernels. Some of these kernels is integrated into ML.NET via C++/C# interoperability. [oneDAL Documentation](http://oneapi-src.github.io/oneDAL/) | [oneDAL Repository](https://github.com/oneapi-src/oneDAL) -> Please note that OneDAL acceleration paths are only available in x64 architectures +> Please note that oneDAL acceleration paths are only available in x64 architectures Integration consists of: From 52d4d6a09f12fa3621b615f377f6443363009c6b Mon Sep 17 00:00:00 2001 From: Michael Sharp Date: Fri, 16 Dec 2022 10:31:47 -0700 Subject: [PATCH 53/60] fixing onedal project not showing in VS --- Microsoft.ML.sln | 1 + .../TrainerEstimators/OneDalEstimators.cs | 21 ++++++++++--------- 2 files changed, 12 insertions(+), 10 deletions(-) diff --git a/Microsoft.ML.sln b/Microsoft.ML.sln index ec509b081e..e69d535369 100644 --- a/Microsoft.ML.sln +++ b/Microsoft.ML.sln @@ -802,6 +802,7 @@ Global {802233D6-8CC0-46AD-9F23-FEE1E9AED9B3} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4} {00E38F77-1E61-4CDF-8F97-1417D4E85053} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {A7222F41-1CF0-47D9-B80C-B4D77B027A61} = {09EADF06-BE25-4228-AB53-95AE3E15B530} + {A7222F94-2AF1-10C9-A21C-C4D22B137A69} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {570A0B8A-5463-44D2-8521-54C0CA4CACA9} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {5A79C7F0-3D99-4123-B0DA-7C9FFCD13132} = {09EADF06-BE25-4228-AB53-95AE3E15B530} {8C05642D-C3AA-4972-B02C-93681161A6BC} = {09EADF06-BE25-4228-AB53-95AE3E15B530} diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs index 76e793adde..42307cbeea 100644 --- a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs +++ b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs @@ -35,16 +35,17 @@ public void OneDalFastTreeBinaryEstimator() var loader = ML.Data.CreateTextLoader(columns: new[] { new TextLoader.Column("f0", DataKind.Single, 0), - new TextLoader.Column("f1", DataKind.Single, 1), - new TextLoader.Column("f2", DataKind.Single, 2), - new TextLoader.Column("f3", DataKind.Single, 3), - new TextLoader.Column("f4", DataKind.Single, 4), - new TextLoader.Column("f5", DataKind.Single, 5), - new TextLoader.Column("f6", DataKind.Single, 6), - new TextLoader.Column("f7", DataKind.Single, 7), - new TextLoader.Column("target", DataKind.Boolean,8)}, - separatorChar: ',', - hasHeader: true); + new TextLoader.Column("f1", DataKind.Single, 1), + new TextLoader.Column("f2", DataKind.Single, 2), + new TextLoader.Column("f3", DataKind.Single, 3), + new TextLoader.Column("f4", DataKind.Single, 4), + new TextLoader.Column("f5", DataKind.Single, 5), + new TextLoader.Column("f6", DataKind.Single, 6), + new TextLoader.Column("f7", DataKind.Single, 7), + new TextLoader.Column("target", DataKind.Boolean,8)}, + separatorChar: ',', + hasHeader: true + ); var trainingData = loader.Load(trainDataPath); var testingData = loader.Load(testDataPath); From 3331545e59757f0527d0ccfe9ccc31b2e3ff38dc Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Sun, 18 Dec 2022 20:47:25 -0800 Subject: [PATCH 54/60] Added temp test to probe loading libraries --- .../TrainerEstimators/OneDalEstimators.cs | 83 +++++++++++++++++++ 1 file changed, 83 insertions(+) diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs index 76e793adde..e2b4989448 100644 --- a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs +++ b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs @@ -5,9 +5,12 @@ using System; using System.Collections.Generic; using System.Linq; +using System.Text.RegularExpressions; using System.Threading; using System.Threading.Tasks; using FluentAssertions; +using Microsoft.DotNet.PlatformAbstractions; +using Microsoft.Extensions.DependencyModel; using Microsoft.ML.Calibrators; using Microsoft.ML.Data; using Microsoft.ML.Internal.Utilities; @@ -27,6 +30,7 @@ public partial class TrainerEstimators : TestDataPipeBase { [Fact] + //[NativeDependencyFact("OneDalNative")] public void OneDalFastTreeBinaryEstimator() { Environment.SetEnvironmentVariable("MLNET_BACKEND", "ONEDAL"); @@ -74,5 +78,84 @@ public void OneDalFastTreeBinaryEstimator() Assert.True(testingMetrics.Accuracy > 0.8); } + + [Fact] + public void TestDependency() + { + DependencyContext defaultContext = DependencyContext.Default; + var currentRid = RuntimeEnvironment.GetRuntimeIdentifier(); + Output.WriteLine($"**** the current RID is {currentRid}."); + + var runtimeLibs = defaultContext.RuntimeLibraries; + try + { + // var candidates = runtimeLibs.Where(x => Regex.IsMatch(x.Name, ".*LightG.*", RegexOptions.IgnoreCase)); + var candidates = runtimeLibs.Where(x => Regex.IsMatch(x.Name, ".*onedal.*", RegexOptions.IgnoreCase)); + var possible = candidates.First(); + Output.WriteLine($"**** [{possible.Name}] found of a count of [ {candidates.Count()} ] ."); + var nativeAssets = possible.GetRuntimeNativeAssets(defaultContext, currentRid); + Output.WriteLine($"**** With [ {nativeAssets.Count()} ] native assets"); + foreach (var na in nativeAssets) + { + Output.WriteLine($"**** -- nativeAsset: [ {na} ]"); + } + } + catch (Exception ex) + { + Output.WriteLine($"**** Had some trouble retrieving onedal: [ {ex.Message} ] ."); + } + + Assert.True(true); + } + + //[Fact] + [NativeDependencyFact("OneDalNative")] + public void OneDalFastTreeBinaryEstimatorAtt() + { + Environment.SetEnvironmentVariable("MLNET_BACKEND", "ONEDAL"); + var trainDataPath = GetDataPath("binary_synth_data_train.csv"); + var testDataPath = GetDataPath("binary_synth_data_test.csv"); + + var loader = ML.Data.CreateTextLoader(columns: new[] { + new TextLoader.Column("f0", DataKind.Single, 0), + new TextLoader.Column("f1", DataKind.Single, 1), + new TextLoader.Column("f2", DataKind.Single, 2), + new TextLoader.Column("f3", DataKind.Single, 3), + new TextLoader.Column("f4", DataKind.Single, 4), + new TextLoader.Column("f5", DataKind.Single, 5), + new TextLoader.Column("f6", DataKind.Single, 6), + new TextLoader.Column("f7", DataKind.Single, 7), + new TextLoader.Column("target", DataKind.Boolean,8)}, + separatorChar: ',', + hasHeader: true); + + var trainingData = loader.Load(trainDataPath); + var testingData = loader.Load(testDataPath); + + var preprocessingPipeline = ML.Transforms.Concatenate("Features", new string[] { "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7" }); + + var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); + var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); + + // Output.WriteLine($"**** After preprocessing the data got {preprocessedTrainingData.Schema.Count} columns."); + + FastForestBinaryTrainer.Options options = new FastForestBinaryTrainer.Options(); + options.LabelColumnName = "target"; + options.FeatureColumnName = "Features"; + options.NumberOfTrees = 100; + options.NumberOfLeaves = 128; + options.MinimumExampleCountPerLeaf = 5; + options.FeatureFraction = 1.0; + + var trainer = ML.BinaryClassification.Trainers.FastForest(options); + var model = trainer.Fit(preprocessedTrainingData); + var trainingPredictions = model.Transform(preprocessedTrainingData); + var trainingMetrics = ML.BinaryClassification.EvaluateNonCalibrated(trainingPredictions, labelColumnName: "target"); + var testingPredictions = model.Transform(preprocessedTestingData); + var testingMetrics = ML.BinaryClassification.EvaluateNonCalibrated(testingPredictions, labelColumnName: "target"); + + Assert.True(testingMetrics.Accuracy > 0.8); + } + } } From d19621bc38afb901833fe348ac570a84ebb899e8 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Mon, 19 Dec 2022 00:18:21 -0800 Subject: [PATCH 55/60] Displaying where this is (supposedly) reading Native DLLs --- .../TrainerEstimators/OneDalEstimators.cs | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs index 9b71787ca5..91161cfdf9 100644 --- a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs +++ b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs @@ -80,9 +80,17 @@ public void OneDalFastTreeBinaryEstimator() } - [Fact] + //[Fact] + //[NativeDependencyFact("MatrixFactorizationNative")] + [NativeDependencyFact("OneDalNative")] public void TestDependency() { + var currentDir = AppContext.BaseDirectory; + Output.WriteLine($"**** Running from directory {currentDir}."); + + var dllDir = AppContext.GetData("NATIVE_DLL_SEARCH_DIRECTORIES").ToString(); + Output.WriteLine($"**** The search dir is {dllDir}."); + DependencyContext defaultContext = DependencyContext.Default; var currentRid = RuntimeEnvironment.GetRuntimeIdentifier(); Output.WriteLine($"**** the current RID is {currentRid}."); From 5bfab70f129aad87de99c1137fd85aeea005b663 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Mon, 19 Dec 2022 15:48:00 -0800 Subject: [PATCH 56/60] Copy dependencies so that they're included in Microsoft.ML.OneDal nupkg --- src/Native/Native.proj | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index af9a9e5414..3ef2278089 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -170,6 +170,22 @@ + + + + + + + + From e2a60945f5bfafd1da13c3dc4936c257a0c1da25 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 20 Dec 2022 06:32:07 -0800 Subject: [PATCH 57/60] Remove debugging tests --- .../TrainerEstimators/OneDalEstimators.cs | 88 ------------------- 1 file changed, 88 deletions(-) diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs index 91161cfdf9..2cc5e59f09 100644 --- a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs +++ b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs @@ -78,93 +78,5 @@ public void OneDalFastTreeBinaryEstimator() Assert.True(testingMetrics.Accuracy > 0.8); } - - - //[Fact] - //[NativeDependencyFact("MatrixFactorizationNative")] - [NativeDependencyFact("OneDalNative")] - public void TestDependency() - { - var currentDir = AppContext.BaseDirectory; - Output.WriteLine($"**** Running from directory {currentDir}."); - - var dllDir = AppContext.GetData("NATIVE_DLL_SEARCH_DIRECTORIES").ToString(); - Output.WriteLine($"**** The search dir is {dllDir}."); - - DependencyContext defaultContext = DependencyContext.Default; - var currentRid = RuntimeEnvironment.GetRuntimeIdentifier(); - Output.WriteLine($"**** the current RID is {currentRid}."); - - var runtimeLibs = defaultContext.RuntimeLibraries; - try - { - // var candidates = runtimeLibs.Where(x => Regex.IsMatch(x.Name, ".*LightG.*", RegexOptions.IgnoreCase)); - var candidates = runtimeLibs.Where(x => Regex.IsMatch(x.Name, ".*onedal.*", RegexOptions.IgnoreCase)); - var possible = candidates.First(); - Output.WriteLine($"**** [{possible.Name}] found of a count of [ {candidates.Count()} ] ."); - var nativeAssets = possible.GetRuntimeNativeAssets(defaultContext, currentRid); - Output.WriteLine($"**** With [ {nativeAssets.Count()} ] native assets"); - foreach (var na in nativeAssets) - { - Output.WriteLine($"**** -- nativeAsset: [ {na} ]"); - } - } - catch (Exception ex) - { - Output.WriteLine($"**** Had some trouble retrieving onedal: [ {ex.Message} ] ."); - } - - Assert.True(true); - } - - //[Fact] - [NativeDependencyFact("OneDalNative")] - public void OneDalFastTreeBinaryEstimatorAtt() - { - Environment.SetEnvironmentVariable("MLNET_BACKEND", "ONEDAL"); - var trainDataPath = GetDataPath("binary_synth_data_train.csv"); - var testDataPath = GetDataPath("binary_synth_data_test.csv"); - - var loader = ML.Data.CreateTextLoader(columns: new[] { - new TextLoader.Column("f0", DataKind.Single, 0), - new TextLoader.Column("f1", DataKind.Single, 1), - new TextLoader.Column("f2", DataKind.Single, 2), - new TextLoader.Column("f3", DataKind.Single, 3), - new TextLoader.Column("f4", DataKind.Single, 4), - new TextLoader.Column("f5", DataKind.Single, 5), - new TextLoader.Column("f6", DataKind.Single, 6), - new TextLoader.Column("f7", DataKind.Single, 7), - new TextLoader.Column("target", DataKind.Boolean,8)}, - separatorChar: ',', - hasHeader: true); - - var trainingData = loader.Load(trainDataPath); - var testingData = loader.Load(testDataPath); - - var preprocessingPipeline = ML.Transforms.Concatenate("Features", new string[] { "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7" }); - - var preprocessedTrainingData = preprocessingPipeline.Fit(trainingData).Transform(trainingData); - var preprocessedTestingData = preprocessingPipeline.Fit(trainingData).Transform(testingData); - - // Output.WriteLine($"**** After preprocessing the data got {preprocessedTrainingData.Schema.Count} columns."); - - FastForestBinaryTrainer.Options options = new FastForestBinaryTrainer.Options(); - options.LabelColumnName = "target"; - options.FeatureColumnName = "Features"; - options.NumberOfTrees = 100; - options.NumberOfLeaves = 128; - options.MinimumExampleCountPerLeaf = 5; - options.FeatureFraction = 1.0; - - var trainer = ML.BinaryClassification.Trainers.FastForest(options); - var model = trainer.Fit(preprocessedTrainingData); - var trainingPredictions = model.Transform(preprocessedTrainingData); - var trainingMetrics = ML.BinaryClassification.EvaluateNonCalibrated(trainingPredictions, labelColumnName: "target"); - var testingPredictions = model.Transform(preprocessedTestingData); - var testingMetrics = ML.BinaryClassification.EvaluateNonCalibrated(testingPredictions, labelColumnName: "target"); - - Assert.True(testingMetrics.Accuracy > 0.8); - } - } } From 35a18a1ffa95f67a88b2b62e389ff524c93c115e Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Tue, 20 Dec 2022 07:20:44 -0800 Subject: [PATCH 58/60] Addressing having to set LD_LIBRARY_PATH manually --- src/Native/OneDalNative/CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/Native/OneDalNative/CMakeLists.txt b/src/Native/OneDalNative/CMakeLists.txt index 0231a86b27..c40fa9abd7 100644 --- a/src/Native/OneDalNative/CMakeLists.txt +++ b/src/Native/OneDalNative/CMakeLists.txt @@ -5,7 +5,7 @@ if(UNIX) if(APPLE) set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib libonedal_core.1.1.dylib libonedal_thread.1.1.dylib -L${ONETBB_REDIST_PATH} libtbb.12.dylib libtbbmalloc.2.dylib) else() - set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_REDIST_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2) + set(WRAPPER_LINK_OPTIONS -L${ONEDAL_REDIST_PATH}/lib/intel64 -l:libonedal_core.so.1.1 -l:libonedal_thread.so.1.1 -L${ONETBB_REDIST_PATH} -l:libtbb.so.12 -l:libtbbmalloc.so.2 "-Wl,-rpath,'$ORIGIN'") endif() else() link_directories("${ONEDAL_DEVEL_PATH}\\lib\\intel64") From a6030306c8f922f6939a5cb3f9555e49370fbb65 Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Wed, 21 Dec 2022 01:36:32 -0800 Subject: [PATCH 59/60] Copy onedal dependencies to avoid assumption they include pdbs --- src/Native/Native.proj | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/src/Native/Native.proj b/src/Native/Native.proj index 3ef2278089..3bcc04218f 100644 --- a/src/Native/Native.proj +++ b/src/Native/Native.proj @@ -139,16 +139,31 @@ + + + + + + + + + From 34ddbba2b3518f9486dc7377307008c9f988c18d Mon Sep 17 00:00:00 2001 From: "R. G. Esteves" Date: Wed, 21 Dec 2022 10:02:14 -0800 Subject: [PATCH 60/60] PATH manipulation on Win to account for dll loading --- src/Microsoft.ML.OneDal/OneDalUtils.cs | 27 +++++++++++++++++++ .../TrainerEstimators/OneDalEstimators.cs | 4 +-- 2 files changed, 29 insertions(+), 2 deletions(-) diff --git a/src/Microsoft.ML.OneDal/OneDalUtils.cs b/src/Microsoft.ML.OneDal/OneDalUtils.cs index 434613ac0f..c9d347f56b 100644 --- a/src/Microsoft.ML.OneDal/OneDalUtils.cs +++ b/src/Microsoft.ML.OneDal/OneDalUtils.cs @@ -3,6 +3,7 @@ // See the LICENSE file in the project root for more information. using System; +using System.IO; using System.Collections.Generic; using System.Linq; using System.Runtime.InteropServices; @@ -15,12 +16,38 @@ namespace Microsoft.ML.OneDal [BestFriend] internal static class OneDalUtils { + +#if false [BestFriend] internal static bool IsDispatchingEnabled() { return Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64; } +#else + [BestFriend] + internal static bool IsDispatchingEnabled() + { + if (Environment.GetEnvironmentVariable("MLNET_BACKEND") == "ONEDAL" && + System.Runtime.InteropServices.RuntimeInformation.ProcessArchitecture == System.Runtime.InteropServices.Architecture.X64) + { + if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) + { +#if NETFRAMEWORK + // AppContext not available in the framework, user needs to set PATH manually + // this will probably result in a runtime error where the user needs to set the PATH +#else + var currentDir = AppContext.BaseDirectory; + var nativeLibs = Path.Combine(currentDir, "runtimes", "win-x64", "native"); + var originalPath = Environment.GetEnvironmentVariable("PATH"); + Environment.SetEnvironmentVariable("PATH", nativeLibs + ";" + originalPath); +#endif + } + return true; + } + return false; + } +#endif [BestFriend] internal static long GetTrainData(IChannel channel, FloatLabelCursor.Factory cursorFactory, ref List featuresList, ref List labelsList, int numberOfFeatures) diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs index 2cc5e59f09..713edbae31 100644 --- a/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs +++ b/test/Microsoft.ML.Tests/TrainerEstimators/OneDalEstimators.cs @@ -29,8 +29,8 @@ namespace Microsoft.ML.Tests.TrainerEstimators public partial class TrainerEstimators : TestDataPipeBase { - [Fact] - //[NativeDependencyFact("OneDalNative")] + // [Fact] + [NativeDependencyFact("OneDalNative")] public void OneDalFastTreeBinaryEstimator() { Environment.SetEnvironmentVariable("MLNET_BACKEND", "ONEDAL");