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henonhenon
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added a simple example
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‎Numpy.NET.sln‎

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@@ -7,6 +7,10 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Numpy", "src\Numpy\Numpy.cs
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EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Numpy.UnitTest", "test\Numpy.UnitTest\Numpy.UnitTest.csproj", "{1B69F24E-8C60-421D-B11B-5306ED7A060E}"
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EndProject
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Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Examples", "Examples", "{25D84E98-E107-45C9-A0EC-0B25E24DA607}"
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EndProject
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Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "MatmulExample", "src\Examples\MatmulExample\MatmulExample.csproj", "{A92C1287-BF2B-4FDC-8BBA-A17F410CD41F}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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Debug|Any CPU = Debug|Any CPU
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{1B69F24E-8C60-421D-B11B-5306ED7A060E}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{1B69F24E-8C60-421D-B11B-5306ED7A060E}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{1B69F24E-8C60-421D-B11B-5306ED7A060E}.Release|Any CPU.Build.0 = Release|Any CPU
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{A92C1287-BF2B-4FDC-8BBA-A17F410CD41F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{A92C1287-BF2B-4FDC-8BBA-A17F410CD41F}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{A92C1287-BF2B-4FDC-8BBA-A17F410CD41F}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{A92C1287-BF2B-4FDC-8BBA-A17F410CD41F}.Release|Any CPU.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
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EndGlobalSection
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GlobalSection(NestedProjects) = preSolution
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{A92C1287-BF2B-4FDC-8BBA-A17F410CD41F} = {25D84E98-E107-45C9-A0EC-0B25E24DA607}
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EndGlobalSection
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GlobalSection(ExtensibilityGlobals) = postSolution
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SolutionGuid = {5EB08541-5168-443C-B524-A5CB7E7C613D}
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EndGlobalSection

‎doc/img/numpy_intellisense.png‎

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‎src/Examples/MatmulExample/MatmulExample.csproj‎

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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>netcoreapp2.2</TargetFramework>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\Numpy\Numpy.csproj" />
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</ItemGroup>
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</Project>

‎src/Examples/MatmulExample/Program.cs‎

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using System;
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using System.Diagnostics;
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using Numpy;
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namespace MatmulExample
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{
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class Program
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{
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static void Main(string[] args)
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{
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Console.WriteLine("Efficient matrix multiplication with NumPy (only GPU backed libraries are faster):");
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// before starting the measurement, let us call numpy once to get the setup checks done.
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np.arange(1);
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var stopwatch = Stopwatch.StartNew();
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var a1 = np.arange(60000).reshape(300, 200);
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var a2 = np.arange(80000).reshape(200, 400);
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var result = np.matmul(a1, a2);
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stopwatch.Stop();
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Console.WriteLine($"execution time with NumPy: {stopwatch.Elapsed.TotalMilliseconds}ms\n");
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Console.WriteLine("Result:\n"+result.repr);
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Console.ReadKey();
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}
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}
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}

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