fix csharp examples and references
This commit is contained in:
Родитель
fcdeef63d0
Коммит
7c838d3b6c
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@ -43,7 +43,7 @@
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<Reference Include="System.Data" />
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<Reference Include="System.Net.Http" />
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<Reference Include="System.Xml" />
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<ProjectReference Include="..\..\..\bindings\csharp\CNTKLibraryManagedDll\CNTKLibraryManagedDll.csproj" />
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<Reference Include="netstandard" />
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</ItemGroup>
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<ItemGroup>
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<Compile Include="..\..\Evaluation\ImageExtension\CNTKImageProcessing.cs">
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@ -71,20 +71,24 @@
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<Compile Include="Properties\AssemblyInfo.cs" />
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</ItemGroup>
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<ItemGroup>
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<Reference Include="Cntk.Core.Managed-2.6, processorArchitecture=AMD64">
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<HintPath>..\packages\CNTK.CPUOnly.2.6.0\lib\netstandard2.0\Cntk.Core.Managed-2.6.dll</HintPath>
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<Private>True</Private>
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</Reference>
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<None Include="App.config" />
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<None Include="packages.config" />
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</ItemGroup>
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<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
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<Import Project="..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets" Condition="Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets')" />
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<Import Project="..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets" Condition="Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets')" />
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<Import Project="..\packages\CNTK.CPUOnly.2.6.0\build\net45\CNTK.CPUOnly.targets" Condition="Exists('..\packages\CNTK.CPUOnly.2.6.0\build\net45\CNTK.CPUOnly.targets')" />
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<Import Project="..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets" Condition="Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets')" />
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<Import Project="..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets" Condition="Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets')" />
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<Import Project="..\packages\CNTK.CPUOnly.2.6.0\build\netstandard2.0\CNTK.CPUOnly.targets" Condition="Exists('..\packages\CNTK.CPUOnly.2.6.0\build\netstandard2.0\CNTK.CPUOnly.targets')" />
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<Target Name="EnsureNuGetPackageBuildImports" BeforeTargets="PrepareForBuild">
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<PropertyGroup>
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<ErrorText>This project references NuGet package(s) that are missing on this computer. Use NuGet Package Restore to download them. For more information, see http://go.microsoft.com/fwlink/?LinkID=322105. The missing file is {0}.</ErrorText>
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</PropertyGroup>
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<Error Condition="!Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.CPUOnly.2.6.0\build\net45\CNTK.CPUOnly.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.CPUOnly.2.6.0\build\net45\CNTK.CPUOnly.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.CPUOnly.2.6.0\build\netstandard2.0\CNTK.CPUOnly.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.CPUOnly.2.6.0\build\netstandard2.0\CNTK.CPUOnly.targets'))" />
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</Target>
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<!-- To modify your build process, add your task inside one of the targets below and uncomment it.
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Other similar extension points exist, see Microsoft.Common.targets.
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@ -11,6 +11,7 @@ namespace CNTK.CSTrainingExamples
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{
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static void Main(string[] args)
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{
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TestCommon.TestDataDirPrefix = "../../";
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var device = DeviceDescriptor.CPUDevice;
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Console.WriteLine($"======== running LogisticRegression.TrainAndEvaluate using {device.Type} ========");
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LogisticRegression.TrainAndEvaluate(device);
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@ -1,6 +1,6 @@
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<?xml version="1.0" encoding="utf-8"?>
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<packages>
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<package id="CNTK.CPUOnly" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.Deps.MKL" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.Deps.OpenCV.Zip" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.CPUOnly" version="2.6.0" targetFramework="netstandard2.0" />
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<package id="CNTK.Deps.MKL" version="2.6.0" targetFramework="netstandard2.0" />
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<package id="CNTK.Deps.OpenCV.Zip" version="2.6.0" targetFramework="netstandard2.0" />
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</packages>
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@ -44,7 +44,7 @@
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<Reference Include="System.Data" />
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<Reference Include="System.Net.Http" />
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<Reference Include="System.Xml" />
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<ProjectReference Include="..\..\..\bindings\csharp\CNTKLibraryManagedDll\CNTKLibraryManagedDll.csproj" />
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<Reference Include="netstandard" />
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</ItemGroup>
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<ItemGroup>
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<Compile Include="..\..\Evaluation\ImageExtension\CNTKImageProcessing.cs">
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@ -72,22 +72,26 @@
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<Compile Include="Properties\AssemblyInfo.cs" />
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</ItemGroup>
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<ItemGroup>
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<Reference Include="Cntk.Core.Managed-2.6, processorArchitecture=AMD64">
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<HintPath>..\packages\CNTK.GPU.2.6.0\lib\netstandard2.0\Cntk.Core.Managed-2.6.dll</HintPath>
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<Private>True</Private>
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</Reference>
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<None Include="App.config" />
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<None Include="packages.config" />
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</ItemGroup>
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<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
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<Import Project="..\packages\CNTK.Deps.Cuda.2.6.0\build\net45\CNTK.Deps.Cuda.targets" Condition="Exists('..\packages\CNTK.Deps.Cuda.2.6.0\build\net45\CNTK.Deps.Cuda.targets')" />
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<Import Project="..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets" Condition="Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets')" />
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<Import Project="..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets" Condition="Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets')" />
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<Import Project="..\packages\CNTK.GPU.2.6.0\build\net45\CNTK.GPU.targets" Condition="Exists('..\packages\CNTK.GPU.2.6.0\build\net45\CNTK.GPU.targets')" />
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<Import Project="..\packages\CNTK.Deps.Cuda.2.6.0\build\netstandard2.0\CNTK.Deps.Cuda.targets" Condition="Exists('..\packages\CNTK.Deps.Cuda.2.6.0\build\netstandard2.0\CNTK.Deps.Cuda.targets')" />
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<Import Project="..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets" Condition="Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets')" />
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<Import Project="..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets" Condition="Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets')" />
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<Import Project="..\packages\CNTK.GPU.2.6.0\build\netstandard2.0\CNTK.GPU.targets" Condition="Exists('..\packages\CNTK.GPU.2.6.0\build\netstandard2.0\CNTK.GPU.targets')" />
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<Target Name="EnsureNuGetPackageBuildImports" BeforeTargets="PrepareForBuild">
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<PropertyGroup>
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<ErrorText>This project references NuGet package(s) that are missing on this computer. Use NuGet Package Restore to download them. For more information, see http://go.microsoft.com/fwlink/?LinkID=322105. The missing file is {0}.</ErrorText>
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</PropertyGroup>
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<Error Condition="!Exists('..\packages\CNTK.Deps.Cuda.2.6.0\build\net45\CNTK.Deps.Cuda.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.Cuda.2.6.0\build\net45\CNTK.Deps.Cuda.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.MKL.2.6.0\build\net45\CNTK.Deps.MKL.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\net45\CNTK.Deps.OpenCV.Zip.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.GPU.2.6.0\build\net45\CNTK.GPU.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.GPU.2.6.0\build\net45\CNTK.GPU.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.Cuda.2.6.0\build\netstandard2.0\CNTK.Deps.Cuda.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.Cuda.2.6.0\build\netstandard2.0\CNTK.Deps.Cuda.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.MKL.2.6.0\build\netstandard2.0\CNTK.Deps.MKL.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.Deps.OpenCV.Zip.2.6.0\build\netstandard2.0\CNTK.Deps.OpenCV.Zip.targets'))" />
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<Error Condition="!Exists('..\packages\CNTK.GPU.2.6.0\build\netstandard2.0\CNTK.GPU.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\packages\CNTK.GPU.2.6.0\build\netstandard2.0\CNTK.GPU.targets'))" />
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</Target>
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<!-- To modify your build process, add your task inside one of the targets below and uncomment it.
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Other similar extension points exist, see Microsoft.Common.targets.
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@ -1,5 +1,6 @@
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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@ -10,6 +11,7 @@ namespace CNTK.CSTrainingExamples
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{
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static void Main(string[] args)
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{
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TestCommon.TestDataDirPrefix = "../../";
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var device = DeviceDescriptor.GPUDevice(0);
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Console.WriteLine($"======== running LogisticRegression.TrainAndEvaluate using {device.Type} ========");
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LogisticRegression.TrainAndEvaluate(device);
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@ -21,14 +23,23 @@ namespace CNTK.CSTrainingExamples
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MNISTClassifier.TrainAndEvaluate(device, true, true);
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Console.WriteLine($"======== running CifarResNet.TrainAndEvaluate using {device.Type} ========");
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CifarResNetClassifier.CifarDataFolder = "../../Examples/Image/DataSets/CIFAR-10";
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CifarResNetClassifier.TrainAndEvaluate(device, true);
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TestCommon.TestDataDirPrefix = "../../Examples/Image/DataSets/";
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string modelFileSourceDir = "../../PretrainedModels/ResNet_18.model";
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if (!File.Exists(modelFileSourceDir))
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{
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Console.WriteLine("Model file doesn't exist. Please run download_model.py in CNTK/CNTK/PretrainedModels");
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Console.ReadKey();
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return;
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}
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Console.WriteLine($"======== running TransferLearning.TrainAndEvaluateWithFlowerData using {device.Type} ========");
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TransferLearning.TrainAndEvaluateWithFlowerData(device, true);
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TransferLearning.BaseResnetModelFile = "ResNet_18.model";
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File.Copy(modelFileSourceDir, TransferLearning.ExampleImageFolder + TransferLearning.BaseResnetModelFile,/*overwrite*/true);
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Console.WriteLine($"======== running TransferLearning.TrainAndEvaluateWithAnimalData using {device.Type} ========");
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TransferLearning.TrainAndEvaluateWithAnimalData(device, true);
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TestCommon.TestDataDirPrefix = "../../";
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Console.WriteLine($"======== running LSTMSequenceClassifier.Train using {device.Type} ========");
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LSTMSequenceClassifier.Train(device);
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}
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@ -1,7 +1,7 @@
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<?xml version="1.0" encoding="utf-8"?>
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<packages>
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<package id="CNTK.Deps.Cuda" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.Deps.MKL" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.Deps.OpenCV.Zip" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.GPU" version="2.6.0" targetFramework="net45" />
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<package id="CNTK.Deps.Cuda" version="2.6.0" targetFramework="netstandard2.0" />
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<package id="CNTK.Deps.MKL" version="2.6.0" targetFramework="netstandard2.0" />
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<package id="CNTK.Deps.OpenCV.Zip" version="2.6.0" targetFramework="netstandard2.0" />
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<package id="CNTK.GPU" version="2.6.0" targetFramework="netstandard2.0" />
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</packages>
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@ -1,7 +1,6 @@
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using System;
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using System.Collections.Generic;
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using System.IO;
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using CNTK.CNTKLibraryCSTrainingTest;
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namespace CNTK.CSTrainingExamples
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{
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@ -1,7 +1,6 @@
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using CNTK.CNTKLibraryCSTrainingTest;
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namespace CNTK.CSTrainingExamples
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{
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@ -18,6 +18,10 @@ namespace CNTK.CSTrainingExamples
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Sigmoid,
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Tanh
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}
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public static class TestCommon
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{
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public static string TestDataDirPrefix;
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}
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public class TestHelper
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{
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public static Function Dense(Variable input, int outputDim, DeviceDescriptor device,
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@ -4,7 +4,7 @@ using System.Collections.Generic;
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using System.Drawing;
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using System.IO;
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using System.Linq;
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using CNTK.CNTKLibraryCSTrainingTest;
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using System.Runtime.CompilerServices;
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namespace CNTK.CSTrainingExamples
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{
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@ -22,13 +22,17 @@ namespace CNTK.CSTrainingExamples
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/// data folder is: CNTK/Examples/Image
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/// model folder is: CNTK/PretrainedModels
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/// </summary>
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public static string ExampleImageFoler = TestCommon.TestDataDirPrefix;
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public static string ExampleImageFolder
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{
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get { return TestCommon.TestDataDirPrefix; }
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set { TestCommon.TestDataDirPrefix = value; }
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}
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public static string BaseResnetModelFile = TestCommon.TestDataDirPrefix + "/ResNet18_ImageNet_CNTK.model";
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private static string featureNodeName = "features";
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private static string lastHiddenNodeName = "z.x";
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private static int[] imageDims = new int[] { 224, 224, 3 };
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/// <summary>
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/// TrainAndEvaluateWithFlowerData shows how to do transfer learning with a MinibatchSource. MinibatchSource is constructed with
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/// a map file that contains image file paths and labels. Data loading, image preprocessing, and batch randomization are handled
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@ -39,7 +43,7 @@ namespace CNTK.CSTrainingExamples
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/// it only evaluates the model is it exists. </param>
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public static void TrainAndEvaluateWithFlowerData(DeviceDescriptor device, bool forceReTrain = false)
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{
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string flowerFolder = Path.Combine(ExampleImageFoler, "Flowers");
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string flowerFolder = Path.Combine(ExampleImageFolder, "Flowers");
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string flowersTrainingMap = Path.Combine(flowerFolder, "1k_img_map.txt");
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string flowersValidationMap = Path.Combine(flowerFolder, "val_map.txt");
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int flowerModelNumClasses = 102;
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@ -65,7 +69,7 @@ namespace CNTK.CSTrainingExamples
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Function trainingLoss, predictionError;
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// create a transfer model
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Function transferLearningModel = CreateTransferLearningModel(BaseResnetModelFile, featureNodeName,
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Function transferLearningModel = CreateTransferLearningModel(Path.Combine(ExampleImageFolder, BaseResnetModelFile), featureNodeName,
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predictionNodeName, lastHiddenNodeName, flowerModelNumClasses, device,
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out imageInput, out labelInput, out trainingLoss, out predictionError);
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@ -120,7 +124,7 @@ namespace CNTK.CSTrainingExamples
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/// it only evaluates the model is it exists. </param>
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public static void TrainAndEvaluateWithAnimalData(DeviceDescriptor device, bool forceRetrain = false)
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{
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string animalDataFolder = Path.Combine(ExampleImageFoler, "Animals");
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string animalDataFolder = Path.Combine(ExampleImageFolder, "Animals");
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string[] animals = new string[] { "Sheep", "Wolf" };
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int animalModelNumClasses = 2;
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string animalsModelFile = Path.Combine(CurrentFolder, "AnimalsTransferLearning.model");
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@ -140,7 +144,7 @@ namespace CNTK.CSTrainingExamples
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string predictionNodeName = "prediction";
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Variable imageInput, labelInput;
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Function trainingLoss, predictionError;
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Function transferLearningModel = CreateTransferLearningModel(Path.Combine(ExampleImageFoler, BaseResnetModelFile), featureNodeName, predictionNodeName,
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Function transferLearningModel = CreateTransferLearningModel(Path.Combine(ExampleImageFolder, BaseResnetModelFile), featureNodeName, predictionNodeName,
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lastHiddenNodeName, animalModelNumClasses, device,
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out imageInput, out labelInput, out trainingLoss, out predictionError);
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@ -18,6 +18,7 @@ models = (('Image Classification', 'AlexNet_ImageNet_CNTK', 'https://www.cntk.ai
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('Image Classification', 'InceptionV3_ImageNet_CNTK', 'https://www.cntk.ai/Models/CNTK_Pretrained/InceptionV3_ImageNet_CNTK.model'),
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('Image Classification', 'BNInception_ImageNet_Caffe', 'https://www.cntk.ai/Models/Caffe_Converted/BNInception_ImageNet_Caffe.model'),
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('Image Classification', 'ResNet18_ImageNet_CNTK', 'https://www.cntk.ai/Models/CNTK_Pretrained/ResNet18_ImageNet_CNTK.model'),
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('Image Classification', 'ResNet_18', 'https://cntkbuildstorage.blob.core.windows.net/cntk-pretrained-model/ResNet_18.model'),
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('Image Classification', 'ResNet34_ImageNet_CNTK', 'https://www.cntk.ai/Models/CNTK_Pretrained/ResNet34_ImageNet_CNTK.model'),
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('Image Classification', 'ResNet50_ImageNet_CNTK', 'https://www.cntk.ai/Models/CNTK_Pretrained/ResNet50_ImageNet_CNTK.model'),
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('Image Classification', 'ResNet101_ImageNet_CNTK', 'https://www.cntk.ai/Models/CNTK_Pretrained/ResNet101_ImageNet_CNTK.model'),
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@ -148,9 +148,4 @@ namespace CNTK.CNTKLibraryCSTrainingTest
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LSTMSequenceClassifier.Train(device);
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}
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}
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|
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public static class TestCommon
|
||||
{
|
||||
public static string TestDataDirPrefix;
|
||||
}
|
||||
}
|
||||
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