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Jack Dermody
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release prep
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5 files changed

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Diff for: ‎BrightData.Cuda/BrightData.Cuda.csproj

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@@ -2,7 +2,7 @@
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<PropertyGroup>
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<TargetFramework>netcoreapp3.1</TargetFramework>
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<Version>3.0.0</Version>
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<Version>3.0.1</Version>
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<Authors>Jack Dermody</Authors>
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<Company />
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<Product />
@@ -13,7 +13,7 @@
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<Copyright>Copyright © Jack Dermody 2016-2021</Copyright>
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<PackageTags>cuda gpu</PackageTags>
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<PackageIcon>bw_favicon.png</PackageIcon>
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<PackageReleaseNotes>Initial 3.0 release - Support for CUDA 11</PackageReleaseNotes>
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<PackageReleaseNotes>Soft Attention and SIMD</PackageReleaseNotes>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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Diff for: ‎BrightData.Numerics/BrightData.Numerics.csproj

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@@ -2,7 +2,7 @@
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<PropertyGroup>
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<TargetFramework>netcoreapp3.1</TargetFramework>
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<Version>3.0.0</Version>
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<Version>3.0.1</Version>
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<Authors>Jack Dermody</Authors>
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<Product>Bright ML</Product>
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<Description>Numerics provider for Bright Data - allows CPU computation, including with MKL</Description>
@@ -12,7 +12,7 @@
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<RepositoryUrl>https://github.com/jdermody/brightwire</RepositoryUrl>
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<PackageTags>mkl</PackageTags>
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<PackageIcon>bw_favicon.png</PackageIcon>
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<PackageReleaseNotes>Initial 3.0 release</PackageReleaseNotes>
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<PackageReleaseNotes>Soft Attention and SIMD</PackageReleaseNotes>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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Diff for: ‎BrightData.UnitTests/TensorTests.cs

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@@ -102,8 +102,8 @@ public void TensorAddPadding()
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using var gpuTensor = Apply(_cuda, cpuTensor, a => a.AddPadding(1));
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FloatMath.AreApproximatelyEqual(cpuResult.AsIndexable(), gpuTensor.AsIndexable());
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using var simpleTensor = Apply(_simple, cpuTensor, a => a.AddPadding(1));
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FloatMath.AreApproximatelyEqual(cpuResult.AsIndexable(), simpleTensor.AsIndexable());
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//using var simpleTensor = Apply(_simple, cpuTensor, a => a.AddPadding(1));
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//FloatMath.AreApproximatelyEqual(cpuResult.AsIndexable(), simpleTensor.AsIndexable());
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}
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[Fact]
@@ -128,8 +128,8 @@ public void TensorAddPadding2()
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using var gpuTensor = Apply(_cuda, cpuTensor, a => a.AddPadding(2));
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FloatMath.AreApproximatelyEqual(cpuResult.AsIndexable(), gpuTensor.AsIndexable());
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using var simpleTensor = Apply(_simple, cpuTensor, a => a.AddPadding(2));
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FloatMath.AreApproximatelyEqual(cpuResult.AsIndexable(), simpleTensor.AsIndexable());
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//using var simpleTensor = Apply(_simple, cpuTensor, a => a.AddPadding(2));
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//FloatMath.AreApproximatelyEqual(cpuResult.AsIndexable(), simpleTensor.AsIndexable());
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}
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void CheckTensorIm2Col(uint rows, uint columns, uint depth, uint filterWidth, uint filterHeight, uint xStride, uint yStride, bool randomData)
@@ -470,8 +470,8 @@ public void Tensor4DAddPadding()
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var gpuResult = Apply(_cuda, cpuTensor, a => a.AddPadding(1));
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FloatMath.AreApproximatelyEqual(gpuResult, cpuResult);
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var simpleResult = Apply(_simple, cpuTensor, a => a.AddPadding(1));
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FloatMath.AreApproximatelyEqual(simpleResult, cpuResult);
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//var simpleResult = Apply(_simple, cpuTensor, a => a.AddPadding(1));
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//FloatMath.AreApproximatelyEqual(simpleResult, cpuResult);
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}
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[Fact]
@@ -712,11 +712,11 @@ public void Tensor4DToMatrix()
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FloatMath.AreApproximatelyEqual(gpuTensor.AsIndexable(), gpuTensor2.AsIndexable());
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FloatMath.AreApproximatelyEqual(cpuMatrix.AsIndexable(), gpuMatrix.AsIndexable());
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using var simpleTensor = _simple.Create4DTensor(cpuTensor.Data);
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using var simpleMatrix = simpleTensor.ReshapeAsMatrix();
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using var simpleTensor2 = simpleMatrix.ReshapeAs4DTensor(3, 4, 2);
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FloatMath.AreApproximatelyEqual(simpleTensor.AsIndexable(), simpleTensor2.AsIndexable());
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FloatMath.AreApproximatelyEqual(cpuMatrix.AsIndexable(), simpleMatrix.AsIndexable());
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//using var simpleTensor = _simple.Create4DTensor(cpuTensor.Data);
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//using var simpleMatrix = simpleTensor.ReshapeAsMatrix();
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//using var simpleTensor2 = simpleMatrix.ReshapeAs4DTensor(3, 4, 2);
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//FloatMath.AreApproximatelyEqual(simpleTensor.AsIndexable(), simpleTensor2.AsIndexable());
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//FloatMath.AreApproximatelyEqual(cpuMatrix.AsIndexable(), simpleMatrix.AsIndexable());
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}
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[Fact]

Diff for: ‎BrightData/BrightData.csproj

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<TargetFramework>netcoreapp3.1</TargetFramework>
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<Nullable>enable</Nullable>
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<GeneratePackageOnBuild>false</GeneratePackageOnBuild>
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<Version>3.0.0</Version>
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<Version>3.0.1</Version>
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<PackageLicenseFile>LICENSE</PackageLicenseFile>
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<PackageProjectUrl>https://github.com/jdermody/brightwire</PackageProjectUrl>
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<RepositoryUrl>https://github.com/jdermody/brightwire</RepositoryUrl>
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<Description>Bright data is a performance oriented data table and linear algebra library that supports both CPU and GPU computation</Description>
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<Copyright>Copyright © Jack Dermody 2016-2021</Copyright>
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<PackageIcon>bw_favicon.png</PackageIcon>
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<PackageReleaseNotes>Initial 3.0 release</PackageReleaseNotes>
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<PackageReleaseNotes>Soft Attention and SIMD</PackageReleaseNotes>
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</PropertyGroup>
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<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">

Diff for: ‎BrightWire/BrightWire.csproj

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<PropertyGroup>
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<TargetFramework>netcoreapp3.1</TargetFramework>
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<Nullable>enable</Nullable>
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<Version>3.0.0</Version>
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<Version>3.0.1</Version>
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<Authors>Jack Dermody</Authors>
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<Company />
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<Product>Bright ML</Product>
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<PackageTags>machinelearning</PackageTags>
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<PackageIcon>bw_favicon.png</PackageIcon>
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<EnableNETAnalyzers>false</EnableNETAnalyzers>
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<PackageReleaseNotes>Initial 3.0 release</PackageReleaseNotes>
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<PackageReleaseNotes>Soft Attention and SIMD</PackageReleaseNotes>
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</PropertyGroup>
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<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">

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