remove unnecessary projects (#316)

6 years ago · 83361f7c97
--- a/src/TensorFlowNet.Benchmarks/TensorFlowNET.Benchmark.csproj
+++ b/src/TensorFlowNet.Benchmarks/TensorFlowNET.Benchmark.csproj
@@ -0,0 +1,20 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>netcoreapp2.2</TargetFramework>
  </PropertyGroup>

  <ItemGroup>
    <None Remove="tensorflow.dll" />
  </ItemGroup>

  <ItemGroup>
    <PackageReference Include="BenchmarkDotNet" Version="0.11.5" />
  </ItemGroup>

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

 </Project>
--- a/test/KerasNET.Example/Keras.Example.csproj
+++ b/test/KerasNET.Example/Keras.Example.csproj
@@ -1,23 +0,0 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>netcoreapp2.2</TargetFramework>
    <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
    <StartupObject>Keras.Example.Program</StartupObject>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="Colorful.Console" Version="1.2.9" />
    <PackageReference Include="Newtonsoft.Json" Version="12.0.2" />
    <PackageReference Include="SciSharp.TensorFlow.Redist" Version="1.14.0" />
    <PackageReference Include="SharpZipLib" Version="1.1.0" />
    <PackageReference Include="System.Drawing.Common" Version="4.5.1" />
  </ItemGroup>

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

 </Project>
--- a/test/KerasNET.Example/Keras.cs
+++ b/test/KerasNET.Example/Keras.cs
@@ -1,61 +0,0 @@
 using System;
 using System.Collections.Generic;
 using Tensorflow;
 using Keras.Layers;
 using NumSharp;

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

            #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()));
        }
    }
 }
--- a/test/KerasNET.Example/packages.config
+++ b/test/KerasNET.Example/packages.config
@@ -1,10 +0,0 @@
 <?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="0.10.1" 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>
--- a/test/KerasNET.Test/Keras.UnitTest.csproj
+++ b/test/KerasNET.Test/Keras.UnitTest.csproj
@@ -1,40 +0,0 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <TargetFramework>netcoreapp2.2</TargetFramework>

    <IsPackable>false</IsPackable>

    <AssemblyName>Keras.UnitTest</AssemblyName>

    <RootNamespace>Keras.UnitTest</RootNamespace>

    <ApplicationIcon />

    <OutputType>Exe</OutputType>

    <StartupObject />
  </PropertyGroup>

  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
    <DefineConstants>DEBUG;TRACE</DefineConstants>
    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
  </PropertyGroup>

  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">
    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.2.0" />
    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
    <PackageReference Include="SciSharp.TensorFlow.Redist" Version="1.14.0" />
  </ItemGroup>

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

 </Project>
--- a/test/KerasNET.Test/KerasTests.cs
+++ b/test/KerasNET.Test/KerasTests.cs
@@ -1,26 +0,0 @@
 using Tensorflow;
 using Keras.Layers;
 using NumSharp;
 using Microsoft.VisualStudio.TestTools.UnitTesting;

 namespace Keras.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.TensorShape);
            var outputShape = dense_1.output_shape(input.TensorShape);
            var a = (int[])(outputShape.Dimensions);
            var b = (int[])(new int[] { 1 });
            var _a = np.array(a);
            var _b = np.array(b);

            Assert.IsTrue(np.array_equal(_a, _b));
        }
    }
 }
--- a/test/KerasNET.Test/packages.config
+++ b/test/KerasNET.Test/packages.config
@@ -1,11 +0,0 @@
 <?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>
--- a/test/TensorFlowHub.Examples/Program.cs
+++ b/test/TensorFlowHub.Examples/Program.cs
@@ -1,12 +0,0 @@
 using System;

 namespace TensorFlowHub.Examples
 {
    class Program
    {
        static void Main(string[] args)
        {
            Console.WriteLine("Hello World!");
        }
    }
 }
--- a/test/TensorFlowHub.Examples/TensorFlowHub.Examples.csproj
+++ b/test/TensorFlowHub.Examples/TensorFlowHub.Examples.csproj
@@ -1,16 +0,0 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>netcoreapp2.2</TargetFramework>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="SciSharp.TensorFlow.Redist" Version="1.14.0" />
  </ItemGroup>

  <ItemGroup>
    <ProjectReference Include="..\..\src\TensorFlowHub\TensorFlowHub.csproj" />
  </ItemGroup>

 </Project>