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TensorFlow.NET
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Makina Commit 1

tags/v0.9
Arnav Das 6 years ago
parent
baaff630c4
commit
28155aa28f
18 changed files with 648 additions and 2 deletions
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  1. +20
    -2
      TensorFlow.NET.sln
  2. +15
    -0
      src/MakinaNET.Core/Core.cs
  3. +10
    -0
      src/MakinaNET.Core/IInitializer.cs
  4. +13
    -0
      src/MakinaNET.Core/Initializer/BaseInitializer.cs
  5. +57
    -0
      src/MakinaNET.Core/Layers/Dense.cs
  6. +16
    -0
      src/MakinaNET.Core/Layers/ILayer.cs
  7. +13
    -0
      src/MakinaNET.Core/MakinaNET.Core.csproj
  8. +127
    -0
      src/MakinaNET.Core/Model.cs
  9. +14
    -0
      src/MakinaNET.Example/App.config
  10. +87
    -0
      src/MakinaNET.Example/MakinaNET.Example.csproj
  11. +67
    -0
      src/MakinaNET.Example/Program.cs
  12. +36
    -0
      src/MakinaNET.Example/Properties/AssemblyInfo.cs
  13. +10
    -0
      src/MakinaNET.Example/packages.config
  14. +23
    -0
      src/MakinaNET.Test/BaseTests.cs
  15. +98
    -0
      src/MakinaNET.Test/MakinaNET.UnitTest.csproj
  16. +20
    -0
      src/MakinaNET.Test/Properties/AssemblyInfo.cs
  17. +11
    -0
      src/MakinaNET.Test/app.config
  18. +11
    -0
      src/MakinaNET.Test/packages.config

+ 20
- 2
TensorFlow.NET.sln View File

@@ -1,7 +1,7 @@

Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio Version 16
VisualStudioVersion = 16.0.28803.156
# Visual Studio 15
VisualStudioVersion = 15.0.28307.168
MinimumVisualStudioVersion = 10.0.40219.1
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowNET.UnitTest", "test\TensorFlowNET.UnitTest\TensorFlowNET.UnitTest.csproj", "{029A8CF1-CF95-4DCB-98AA-9D3D96A83B3E}"
EndProject
@@ -9,6 +9,12 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowNET.Examples", "t
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowNET.Core", "src\TensorFlowNET.Core\TensorFlowNET.Core.csproj", "{FD682AC0-7B2D-45D3-8B0D-C6D678B04144}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "MakinaNET.Core", "src\MakinaNET.Core\MakinaNET.Core.csproj", "{6FF518EB-523F-4930-919E-05011EFCED6F}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "MakinaNET.Example", "src\MakinaNET.Example\MakinaNET.Example.csproj", "{17E1AC16-9E0E-4545-905A-E92C6300C7AF}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "MakinaNET.UnitTest", "src\MakinaNET.Test\MakinaNET.UnitTest.csproj", "{02F54D9F-617B-4B15-9D21-E21AF66693B1}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Any CPU = Debug|Any CPU
@@ -27,6 +33,18 @@ Global
{FD682AC0-7B2D-45D3-8B0D-C6D678B04144}.Debug|Any CPU.Build.0 = Debug|Any CPU
{FD682AC0-7B2D-45D3-8B0D-C6D678B04144}.Release|Any CPU.ActiveCfg = Release|Any CPU
{FD682AC0-7B2D-45D3-8B0D-C6D678B04144}.Release|Any CPU.Build.0 = Release|Any CPU
{6FF518EB-523F-4930-919E-05011EFCED6F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6FF518EB-523F-4930-919E-05011EFCED6F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6FF518EB-523F-4930-919E-05011EFCED6F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{6FF518EB-523F-4930-919E-05011EFCED6F}.Release|Any CPU.Build.0 = Release|Any CPU
{17E1AC16-9E0E-4545-905A-E92C6300C7AF}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{17E1AC16-9E0E-4545-905A-E92C6300C7AF}.Debug|Any CPU.Build.0 = Debug|Any CPU
{17E1AC16-9E0E-4545-905A-E92C6300C7AF}.Release|Any CPU.ActiveCfg = Release|Any CPU
{17E1AC16-9E0E-4545-905A-E92C6300C7AF}.Release|Any CPU.Build.0 = Release|Any CPU
{02F54D9F-617B-4B15-9D21-E21AF66693B1}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{02F54D9F-617B-4B15-9D21-E21AF66693B1}.Debug|Any CPU.Build.0 = Debug|Any CPU
{02F54D9F-617B-4B15-9D21-E21AF66693B1}.Release|Any CPU.ActiveCfg = Release|Any CPU
{02F54D9F-617B-4B15-9D21-E21AF66693B1}.Release|Any CPU.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE


+ 15
- 0
src/MakinaNET.Core/Core.cs View File

@@ -0,0 +1,15 @@
using System;
using System.Collections.Generic;
using System.Text;
using Tensorflow;

namespace Makina
{
public static class Makina
{
public static Tensor create_tensor(int[] shape, float mean = 0, float stddev = 1, TF_DataType dtype = TF_DataType.TF_FLOAT, int? seed = null, string name = null)
{
return tf.truncated_normal(shape: shape, mean: mean, stddev: stddev, dtype: dtype, seed: seed, name: name);
}
}
}

+ 10
- 0
src/MakinaNET.Core/IInitializer.cs View File

@@ -0,0 +1,10 @@
using System;
using System.Collections.Generic;
using System.Text;

namespace Makina
{
interface IInitializer
{
}
}

+ 13
- 0
src/MakinaNET.Core/Initializer/BaseInitializer.cs View File

@@ -0,0 +1,13 @@
using System;
using System.Collections.Generic;
using System.Text;
using Tensorflow;
using Tensorflow.Layers;

namespace Makina.Initializer
{
class BaseInitializer : IInitializer
{
public int seed;
}
}

+ 57
- 0
src/MakinaNET.Core/Layers/Dense.cs View File

@@ -0,0 +1,57 @@
using System;
using System.Collections.Generic;
using System.Text;
using System.Linq;
using Tensorflow;
using static Makina.Makina;
using Makina;
using NumSharp;
using Tensorflow.Operations.Activation;

namespace Makina.Layers
{
public class Dense : ILayer
{
RefVariable W;
int units;
TensorShape WShape;
string name;
IActivation activation;

public Dense(int units, string name = null, IActivation activation = null)
{
this.activation = activation;
this.units = units;
this.name = (string.IsNullOrEmpty(name) || string.IsNullOrWhiteSpace(name))?this.GetType().Name + "_" + this.GetType().GUID:name;
}
public ILayer __build__(TensorShape input_shape, int seed = 1, float stddev = -1f)
{
Console.WriteLine("Building Layer \"" + name + "\" ...");
if (stddev == -1)
stddev = (float)(1 / Math.Sqrt(2));
var dim = input_shape.Dimensions;
var input_dim = dim[dim.Length - 1];
W = tf.Variable(create_tensor(new int[] { input_dim, units }, seed: seed, stddev: (float)stddev));
WShape = new TensorShape(W.shape);
return this;
}
public Tensor __call__(Tensor x)
{
var dot = tf.matmul(x, W);
if (this.activation != null)
dot = activation.Activate(dot);
Console.WriteLine("Calling Layer \"" + name + "(" + np.array(dot.getShape().Dimensions).ToString() + ")\" ...");
return dot;
}
public TensorShape __shape__()
{
return WShape;
}
public TensorShape output_shape(TensorShape input_shape)
{
var output_shape = input_shape.Dimensions;
output_shape[output_shape.Length - 1] = units;
return new TensorShape(output_shape);
}
}
}

+ 16
- 0
src/MakinaNET.Core/Layers/ILayer.cs View File

@@ -0,0 +1,16 @@
using System;
using System.Collections.Generic;
using System.Text;
using Tensorflow;
using NumSharp;

namespace Makina.Layers
{
public interface ILayer
{
TensorShape __shape__();
ILayer __build__(TensorShape input_shape, int seed = 1, float stddev = -1f);
Tensor __call__(Tensor x);
TensorShape output_shape(TensorShape input_shape);
}
}

+ 13
- 0
src/MakinaNET.Core/MakinaNET.Core.csproj View File

@@ -0,0 +1,13 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<AssemblyName>Makina</AssemblyName>
<RootNamespace>Makina</RootNamespace>
</PropertyGroup>

<ItemGroup>
<ProjectReference Include="..\TensorFlowNET.Core\TensorFlowNET.Core.csproj" />
</ItemGroup>

</Project>

+ 127
- 0
src/MakinaNET.Core/Model.cs View File

@@ -0,0 +1,127 @@
using Makina.Layers;
using NumSharp;
using System;
using System.Collections.Generic;
using System.Text;
using Tensorflow;
using static Makina.Makina;
using static Tensorflow.Python;

namespace Makina
{
public class Model
{
public Tensor Flow;
List<ILayer> layer_stack;

public TensorShape InputShape;

public Model()
{
layer_stack = new List<ILayer>();
}
public Model Add(ILayer layer)
{
layer_stack.Add(layer);
return this;
}
public Model Add(IEnumerable<ILayer> layers)
{
layer_stack.AddRange(layers);
return this;
}
public Tensor getFlow()
{
try
{
return Flow;
}
catch (Exception ex)
{
return null;
}
}
public (Operation, Tensor, Tensor) make_graph(Tensor features, Tensor labels)
{

// TODO : Creating Loss Functions And Optimizers.....

#region Model Layers Graph
/*
var stddev = 1 / Math.Sqrt(2);

var d1 = new Dense(num_hidden);
d1.__build__(features.getShape());
var hidden_activations = tf.nn.relu(d1.__call__(features));

var d1_output = d1.output_shape(features.getShape());

var d2 = new Dense(1);
d2.__build__(d1.output_shape(features.getShape()), seed: 17, stddev: (float)(1/ Math.Sqrt(num_hidden)));
var logits = d2.__call__(hidden_activations);
var predictions = tf.sigmoid(tf.squeeze(logits));
*/
#endregion

#region Model Graph Form Layer Stack
var flow_shape = features.getShape();
Flow = features;
for (int i = 0; i < layer_stack.Count; i++)
{
layer_stack[i].__build__(flow_shape);
flow_shape = layer_stack[i].output_shape(flow_shape);
Flow = layer_stack[i].__call__(Flow);
}
var predictions = tf.sigmoid(tf.squeeze(Flow));
#endregion

#region loss and optimizer
var loss = tf.reduce_mean(tf.square(predictions - tf.cast(labels, tf.float32)), name: "loss");

var gs = tf.Variable(0, trainable: false, name: "global_step");
var train_op = tf.train.GradientDescentOptimizer(0.2f).minimize(loss, global_step: gs);
#endregion

return (train_op, loss, gs);
}
public float train(int num_steps, (NDArray, NDArray) training_dataset)
{
var (X, Y) = training_dataset;
var x_shape = X.shape;
var batch_size = x_shape[0];
var graph = tf.Graph().as_default();

var features = tf.placeholder(tf.float32, new TensorShape(batch_size, 2));
var labels = tf.placeholder(tf.float32, new TensorShape(batch_size));

var (train_op, loss, gs) = this.make_graph(features, labels);

var init = tf.global_variables_initializer();

float loss_value = 0;
with(tf.Session(graph), sess =>
{
sess.run(init);
var step = 0;


while (step < num_steps)
{
var result = sess.run(
new ITensorOrOperation[] { train_op, gs, loss },
new FeedItem(features, X),
new FeedItem(labels, Y));
loss_value = result[2];
step = result[1];
if (step % 1000 == 0)
Console.WriteLine($"Step {step} loss: {loss_value}");
}
Console.WriteLine($"Final loss: {loss_value}");
});

return loss_value;
}
}
}

+ 14
- 0
src/MakinaNET.Example/App.config View File

@@ -0,0 +1,14 @@
<?xml version="1.0" encoding="utf-8"?>
<configuration>
<startup>
<supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.7.2" />
</startup>
<runtime>
<assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1">
<dependentAssembly>
<assemblyIdentity name="System.Numerics.Vectors" publicKeyToken="b03f5f7f11d50a3a" culture="neutral" />
<bindingRedirect oldVersion="0.0.0.0-4.1.4.0" newVersion="4.1.4.0" />
</dependentAssembly>
</assemblyBinding>
</runtime>
</configuration>

+ 87
- 0
src/MakinaNET.Example/MakinaNET.Example.csproj View File

@@ -0,0 +1,87 @@
<?xml version="1.0" encoding="utf-8"?>
<Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
<PropertyGroup>
<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
<Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
<ProjectGuid>{17E1AC16-9E0E-4545-905A-E92C6300C7AF}</ProjectGuid>
<OutputType>Exe</OutputType>
<RootNamespace>Makina.Example</RootNamespace>
<AssemblyName>Makina.Example</AssemblyName>
<TargetFrameworkVersion>v4.7.2</TargetFrameworkVersion>
<FileAlignment>512</FileAlignment>
<AutoGenerateBindingRedirects>true</AutoGenerateBindingRedirects>
<Deterministic>true</Deterministic>
</PropertyGroup>
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
<PlatformTarget>AnyCPU</PlatformTarget>
<DebugSymbols>true</DebugSymbols>
<DebugType>full</DebugType>
<Optimize>false</Optimize>
<OutputPath>bin\Debug\</OutputPath>
<DefineConstants>DEBUG;TRACE</DefineConstants>
<ErrorReport>prompt</ErrorReport>
<WarningLevel>4</WarningLevel>
<Prefer32Bit>false</Prefer32Bit>
</PropertyGroup>
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
<PlatformTarget>AnyCPU</PlatformTarget>
<DebugType>pdbonly</DebugType>
<Optimize>true</Optimize>
<OutputPath>bin\Release\</OutputPath>
<DefineConstants>TRACE</DefineConstants>
<ErrorReport>prompt</ErrorReport>
<WarningLevel>4</WarningLevel>
</PropertyGroup>
<ItemGroup>
<Reference Include="ArrayFire, Version=0.0.2.0, Culture=neutral, processorArchitecture=MSIL">
<HintPath>..\packages\ArrayFire.0.0.2\lib\netstandard2.0\ArrayFire.dll</HintPath>
</Reference>
<Reference Include="Google.Protobuf, Version=3.7.0.0, Culture=neutral, PublicKeyToken=a7d26565bac4d604, processorArchitecture=MSIL">
<HintPath>..\packages\Google.Protobuf.3.7.0\lib\net45\Google.Protobuf.dll</HintPath>
</Reference>
<Reference Include="NumSharp.Core, Version=0.10.0.0, Culture=neutral, processorArchitecture=MSIL">
<HintPath>..\packages\NumSharp.0.10.0\lib\netstandard2.0\NumSharp.Core.dll</HintPath>
</Reference>
<Reference Include="System" />
<Reference Include="System.Buffers, Version=4.0.2.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
<HintPath>..\packages\System.Buffers.4.4.0\lib\netstandard2.0\System.Buffers.dll</HintPath>
</Reference>
<Reference Include="System.Core" />
<Reference Include="System.Memory, Version=4.0.1.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
<HintPath>..\packages\System.Memory.4.5.2\lib\netstandard2.0\System.Memory.dll</HintPath>
</Reference>
<Reference Include="System.Numerics" />
<Reference Include="System.Numerics.Vectors, Version=4.1.4.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
<HintPath>..\packages\System.Numerics.Vectors.4.5.0\lib\net46\System.Numerics.Vectors.dll</HintPath>
</Reference>
<Reference Include="System.Runtime.CompilerServices.Unsafe, Version=4.0.4.1, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
<HintPath>..\packages\System.Runtime.CompilerServices.Unsafe.4.5.2\lib\netstandard2.0\System.Runtime.CompilerServices.Unsafe.dll</HintPath>
</Reference>
<Reference Include="System.Xml.Linq" />
<Reference Include="System.Data.DataSetExtensions" />
<Reference Include="Microsoft.CSharp" />
<Reference Include="System.Data" />
<Reference Include="System.Net.Http" />
<Reference Include="System.Xml" />
</ItemGroup>
<ItemGroup>
<Compile Include="Program.cs" />
<Compile Include="Properties\AssemblyInfo.cs" />
</ItemGroup>
<ItemGroup>
<None Include="App.config" />
<None Include="packages.config" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\MakinaNET.Core\MakinaNET.Core.csproj">
<Project>{6ff518eb-523f-4930-919e-05011efced6f}</Project>
<Name>MakinaNET.Core</Name>
</ProjectReference>
<ProjectReference Include="..\TensorFlowNET.Core\TensorFlowNET.Core.csproj">
<Project>{fd682ac0-7b2d-45d3-8b0d-c6d678b04144}</Project>
<Name>TensorFlowNET.Core</Name>
</ProjectReference>
</ItemGroup>
<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
</Project>

+ 67
- 0
src/MakinaNET.Example/Program.cs View File

@@ -0,0 +1,67 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Tensorflow;
using static Tensorflow.Python;
using static Makina.Makina;
using Makina.Layers;
using Makina;
using NumSharp;

namespace Makina.Example
{
class Program
{
static void Main(string[] args)
{
Console.WriteLine("================================== Makina ==================================");

#region data
var batch_size = 1000;
var (X, Y) = XOR(batch_size);
//var (X, Y, batch_size) = (np.array(new float[,]{{1, 0 },{1, 1 },{0, 0 },{0, 1 }}), np.array(new int[] { 0, 1, 1, 0 }), 4);
#endregion

#region features
var (features, labels) = (new Tensor(X), new Tensor(Y));
var num_steps = 10000;
#endregion

#region model
var m = new Model();
//m.Add(new Dense(8, name: "Hidden", activation: tf.nn.relu())).Add(new Dense(1, name:"Output"));

m.Add(
new ILayer[] {
new Dense(8, name: "Hidden_1", activation: tf.nn.relu()),
new Dense(1, name: "Output")
});

m.train(num_steps, (X, Y));
#endregion

Console.ReadKey();
}
static (NDArray, NDArray) XOR(int samples)
{
var X = new List<float[]>();
var Y = new List<float>();
var r = new Random();
for (int i = 0; i < samples; i++)
{
var x1 = (float)r.Next(0, 2);
var x2 = (float)r.Next(0, 2);
var y = 0.0f;
if (x1 == x2)
y = 1.0f;
X.Add(new float[] { x1, x2 });
Y.Add(y);
}
return (np.array(X.ToArray()), np.array(Y.ToArray()));
}
}
}

+ 36
- 0
src/MakinaNET.Example/Properties/AssemblyInfo.cs View File

@@ -0,0 +1,36 @@
using System.Reflection;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;

// General Information about an assembly is controlled through the following
// set of attributes. Change these attribute values to modify the information
// associated with an assembly.
[assembly: AssemblyTitle("Makina.Example")]
[assembly: AssemblyDescription("")]
[assembly: AssemblyConfiguration("")]
[assembly: AssemblyCompany("")]
[assembly: AssemblyProduct("Makina.Example")]
[assembly: AssemblyCopyright("Copyright © 2019")]
[assembly: AssemblyTrademark("")]
[assembly: AssemblyCulture("")]

// Setting ComVisible to false makes the types in this assembly not visible
// to COM components. If you need to access a type in this assembly from
// COM, set the ComVisible attribute to true on that type.
[assembly: ComVisible(false)]

// The following GUID is for the ID of the typelib if this project is exposed to COM
[assembly: Guid("17e1ac16-9e0e-4545-905a-e92c6300c7af")]

// Version information for an assembly consists of the following four values:
//
// Major Version
// Minor Version
// Build Number
// Revision
//
// You can specify all the values or you can default the Build and Revision Numbers
// by using the '*' as shown below:
// [assembly: AssemblyVersion("1.0.*")]
[assembly: AssemblyVersion("1.0.0.0")]
[assembly: AssemblyFileVersion("1.0.0.0")]

+ 10
- 0
src/MakinaNET.Example/packages.config View File

@@ -0,0 +1,10 @@
<?xml version="1.0" encoding="utf-8"?>
<packages>
<package id="ArrayFire" version="0.0.2" targetFramework="net472" />
<package id="Google.Protobuf" version="3.7.0" targetFramework="net472" />
<package id="NumSharp" version="0.10.0" targetFramework="net472" />
<package id="System.Buffers" version="4.4.0" targetFramework="net472" />
<package id="System.Memory" version="4.5.2" targetFramework="net472" />
<package id="System.Numerics.Vectors" version="4.5.0" targetFramework="net472" />
<package id="System.Runtime.CompilerServices.Unsafe" version="4.5.2" targetFramework="net472" />
</packages>

+ 23
- 0
src/MakinaNET.Test/BaseTests.cs View File

@@ -0,0 +1,23 @@
using System;
using Tensorflow;
using Makina;
using Makina.Layers;
using NumSharp;
using Microsoft.VisualStudio.TestTools.UnitTesting;

namespace Makina.Test
{
[TestClass]
public class BaseTests
{
[TestMethod]
public void Dense_Tensor_ShapeTest()
{
var dense_1 = new Dense(1, name: "dense_1", activation: tf.nn.relu());
var input = new Tensor(np.array(new int[] { 3 }));
dense_1.__build__(input.getShape());
var outputShape = dense_1.output_shape(input.getShape());
//Assert.AreEqual(outputShape.Dimensions, new int[] { 1 });
}
}
}

+ 98
- 0
src/MakinaNET.Test/MakinaNET.UnitTest.csproj View File

@@ -0,0 +1,98 @@
<?xml version="1.0" encoding="utf-8"?>
<Project ToolsVersion="15.0" DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<Import Project="..\..\packages\MSTest.TestAdapter.1.3.2\build\net45\MSTest.TestAdapter.props" Condition="Exists('..\..\packages\MSTest.TestAdapter.1.3.2\build\net45\MSTest.TestAdapter.props')" />
<Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
<PropertyGroup>
<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
<Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
<ProjectGuid>{02F54D9F-617B-4B15-9D21-E21AF66693B1}</ProjectGuid>
<OutputType>Library</OutputType>
<AppDesignerFolder>Properties</AppDesignerFolder>
<RootNamespace>MakinaNET.Test</RootNamespace>
<AssemblyName>MakinaNET.Test</AssemblyName>
<TargetFrameworkVersion>v4.7.2</TargetFrameworkVersion>
<FileAlignment>512</FileAlignment>
<ProjectTypeGuids>{3AC096D0-A1C2-E12C-1390-A8335801FDAB};{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}</ProjectTypeGuids>
<VisualStudioVersion Condition="'$(VisualStudioVersion)' == ''">15.0</VisualStudioVersion>
<VSToolsPath Condition="'$(VSToolsPath)' == ''">$(MSBuildExtensionsPath32)\Microsoft\VisualStudio\v$(VisualStudioVersion)</VSToolsPath>
<ReferencePath>$(ProgramFiles)\Common Files\microsoft shared\VSTT\$(VisualStudioVersion)\UITestExtensionPackages</ReferencePath>
<IsCodedUITest>False</IsCodedUITest>
<TestProjectType>UnitTest</TestProjectType>
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<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
<DebugSymbols>true</DebugSymbols>
<DebugType>full</DebugType>
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<ErrorReport>prompt</ErrorReport>
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<DebugType>pdbonly</DebugType>
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<ItemGroup>
<Compile Include="BaseTests.cs" />
<Compile Include="Properties\AssemblyInfo.cs" />
</ItemGroup>
<ItemGroup>
<None Include="app.config" />
<None Include="packages.config" />
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<ItemGroup>
<ProjectReference Include="..\MakinaNET.Core\MakinaNET.Core.csproj">
<Project>{6ff518eb-523f-4930-919e-05011efced6f}</Project>
<Name>MakinaNET.Core</Name>
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<ProjectReference Include="..\TensorFlowNET.Core\TensorFlowNET.Core.csproj">
<Project>{fd682ac0-7b2d-45d3-8b0d-c6d678b04144}</Project>
<Name>TensorFlowNET.Core</Name>
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<Import Project="$(VSToolsPath)\TeamTest\Microsoft.TestTools.targets" Condition="Exists('$(VSToolsPath)\TeamTest\Microsoft.TestTools.targets')" />
<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
<Target Name="EnsureNuGetPackageBuildImports" BeforeTargets="PrepareForBuild">
<PropertyGroup>
<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>
</PropertyGroup>
<Error Condition="!Exists('..\..\packages\MSTest.TestAdapter.1.3.2\build\net45\MSTest.TestAdapter.props')" Text="$([System.String]::Format('$(ErrorText)', '..\..\packages\MSTest.TestAdapter.1.3.2\build\net45\MSTest.TestAdapter.props'))" />
<Error Condition="!Exists('..\..\packages\MSTest.TestAdapter.1.3.2\build\net45\MSTest.TestAdapter.targets')" Text="$([System.String]::Format('$(ErrorText)', '..\..\packages\MSTest.TestAdapter.1.3.2\build\net45\MSTest.TestAdapter.targets'))" />
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</Project>

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src/MakinaNET.Test/Properties/AssemblyInfo.cs View File

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using System.Reflection;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;

[assembly: AssemblyTitle("Makina.Test")]
[assembly: AssemblyDescription("")]
[assembly: AssemblyConfiguration("")]
[assembly: AssemblyCompany("")]
[assembly: AssemblyProduct("Makina.Test")]
[assembly: AssemblyCopyright("Copyright © 2019")]
[assembly: AssemblyTrademark("")]
[assembly: AssemblyCulture("")]

[assembly: ComVisible(false)]

[assembly: Guid("02f54d9f-617b-4b15-9d21-e21af66693b1")]

// [assembly: AssemblyVersion("1.0.*")]
[assembly: AssemblyVersion("1.0.0.0")]
[assembly: AssemblyFileVersion("1.0.0.0")]

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- 0
src/MakinaNET.Test/app.config View File

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<?xml version="1.0" encoding="utf-8"?>
<configuration>
<runtime>
<assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1">
<dependentAssembly>
<assemblyIdentity name="System.Numerics.Vectors" publicKeyToken="b03f5f7f11d50a3a" culture="neutral" />
<bindingRedirect oldVersion="0.0.0.0-4.1.4.0" newVersion="4.1.4.0" />
</dependentAssembly>
</assemblyBinding>
</runtime>
</configuration>

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- 0
src/MakinaNET.Test/packages.config View File

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<?xml version="1.0" encoding="utf-8"?>
<packages>
<package id="ArrayFire" version="0.0.2" targetFramework="net472" />
<package id="MSTest.TestAdapter" version="1.3.2" targetFramework="net472" />
<package id="MSTest.TestFramework" version="1.3.2" targetFramework="net472" />
<package id="NumSharp" version="0.10.1" targetFramework="net472" />
<package id="System.Buffers" version="4.4.0" targetFramework="net472" />
<package id="System.Memory" version="4.5.2" targetFramework="net472" />
<package id="System.Numerics.Vectors" version="4.5.0" targetFramework="net472" />
<package id="System.Runtime.CompilerServices.Unsafe" version="4.5.2" targetFramework="net472" />
</packages>

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