added a benchmark suite

TensorFlow.NET.sln

@@ -1,7 +1,7 @@
 
 Microsoft Visual Studio Solution File, Format Version 12.00
-# Visual Studio Version 16
-VisualStudioVersion = 16.0.29025.244
+# Visual Studio 15
+VisualStudioVersion = 15.0.28307.645
 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
@@ -17,6 +17,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Keras.UnitTest", "test\Kera
 EndProject
 Project("{6EC3EE1D-3C4E-46DD-8F32-0CC8E7565705}") = "TensorFlowNET.Examples.FSharp", "test\TensorFlowNET.Examples.FSharp\TensorFlowNET.Examples.FSharp.fsproj", "{62BC3801-F0D3-44A9-A0AC-712F40C8F961}"
 EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "TensorFlowNet.Benchmark", "src\TensorFlowNet.Benchmarks\TensorFlowNet.Benchmark.csproj", "{68861442-971A-4196-876E-C9330F0B3C54}"
+EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -51,6 +53,10 @@ Global
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.Build.0 = Release|Any CPU
+		{68861442-971A-4196-876E-C9330F0B3C54}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{68861442-971A-4196-876E-C9330F0B3C54}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{68861442-971A-4196-876E-C9330F0B3C54}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{68861442-971A-4196-876E-C9330F0B3C54}.Release|Any CPU.Build.0 = Release|Any CPU
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE

src/TensorFlowNet.Benchmarks/Program.cs

@@ -0,0 +1,40 @@
+using System;
+using System.Reflection;
+using BenchmarkDotNet.Configs;
+using BenchmarkDotNet.Running;
+
+namespace TensorFlowNet.Benchmark
+{
+    class Program
+    {
+        /// <summary>
+        /// dotnet NumSharp.Benchmark.dll (Benchmark Class Name)
+        /// dotnet NumSharp.Benchmark.dll nparange
+        /// </summary>
+        /// <param name="args"></param>
+        static void Main(string[] args)
+        {
+#if DEBUG
+            IConfig config = new DebugInProcessConfig();
+#else
+            IConfig config = null;
+#endif
+
+            if (args?.Length > 0)
+            {
+                for (int i = 0; i < args.Length; i++)
+                {
+                    string name = $"TensorFlowNet.Benchmark.{args[i]}";
+                    var type = Type.GetType(name);
+                    BenchmarkRunner.Run(type, config);
+                }
+            }
+            else
+            {
+                BenchmarkSwitcher.FromAssembly(Assembly.GetExecutingAssembly()).Run(args, config);
+            }
+
+            Console.ReadLine();
+        }
+    }
+}

src/TensorFlowNet.Benchmarks/TensorCreation.cs

@@ -0,0 +1,55 @@
+using System;
+using System.Linq;
+using BenchmarkDotNet.Attributes;
+using BenchmarkDotNet.Engines;
+using NumSharp;
+using Tensorflow;
+
+namespace TensorFlowNet.Benchmark
+{
+    [SimpleJob(launchCount: 1, warmupCount: 10, targetCount: 30)]
+    [MinColumn, MaxColumn, MeanColumn, MedianColumn]
+    public class TensorCreation
+    {
+        private double[] data;
+
+        [GlobalSetup]
+        public void Setup()
+        {
+            data = new double[1000];
+        }
+
+        [Benchmark]
+        public void TensorFromArray()
+        {
+            var g=new Graph();
+            for (int i = 0; i < 100; i++)
+            {
+                var tensor = new Tensor(data);
+            }
+        }
+
+
+        [Benchmark]
+        public void TensorFromNDArray()
+        {
+            var g = new Graph();
+            for (int i = 0; i < 100; i++)
+            {
+                var tensor = new Tensor(new NDArray(data));
+            }
+        }
+
+        //[Benchmark]
+        //public void Constant()
+        //{
+        //    for (int i = 0; i < 100; i++)
+        //    {
+        //        //var tensor = new Tensor(new NDArray(data));
+        //        var c = tf.constant(42.0);
+        //    }
+        //}
+
+    }
+}
+

src/TensorFlowNet.Benchmarks/TensorFlowNet.Benchmark.csproj

@@ -0,0 +1,22 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>netcoreapp2.2</TargetFramework>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="BenchmarkDotNet" Version="0.11.5" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\TensorFlowNET.Core\TensorFlowNET.Core.csproj" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Update="tensorflow.dll">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+    </None>
+  </ItemGroup>
+
+</Project>