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Supports .NET Framework #155

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a0e8e2c
Downgrade to .NET Standard 2.0
atsusy Jun 25, 2020
26cf1aa
cudnn_v8に対応
atsusy May 28, 2022
9ae8d21
Update ManagedCuda
atsusy Sep 14, 2025
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5 changes: 3 additions & 2 deletions src/ConvNetSharp.Core/ConvNetSharp.Core.Nuget.csproj
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Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
</PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<PropertyGroup>
<Version>0.4.14</Version>
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3 changes: 2 additions & 1 deletion src/ConvNetSharp.Core/ConvNetSharp.Core.csproj
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@@ -1,7 +1,8 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<ItemGroup>
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15 changes: 9 additions & 6 deletions src/ConvNetSharp.Core/Net.cs
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Expand Up @@ -27,7 +27,8 @@ public T GetCostLoss(Volume<T> input, Volume<T> y)
{
this.Forward(input);

if (this.Layers[^1] is ILastLayer<T> lastLayer)
var n = this.Layers.Count;
if (this.Layers[n - 1] is ILastLayer<T> lastLayer)
{
lastLayer.Backward(y, out var loss);
return loss;
Expand Down Expand Up @@ -58,7 +59,8 @@ public int[] GetPrediction()
{
// this is a convenience function for returning the argmax
// prediction, assuming the last layer of the net is a softmax
if (!(this.Layers[^1] is SoftmaxLayer<T> softmaxLayer))
var ln = this.Layers.Count;
if (!(this.Layers[ln - 1] is SoftmaxLayer<T> softmaxLayer))
{
throw new Exception("GetPrediction function assumes softmax as last layer of the net!");
}
Expand Down Expand Up @@ -109,10 +111,11 @@ public void AddLayer(LayerBase<T> layer)

if (this.Layers.Count > 0)
{
inputWidth = this.Layers[^1].OutputWidth;
inputHeight = this.Layers[^1].OutputHeight;
inputDepth = this.Layers[^1].OutputDepth;
lastLayer = this.Layers[^1];
var n = this.Layers.Count;
inputWidth = this.Layers[n - 1].OutputWidth;
inputHeight = this.Layers[n - 1].OutputHeight;
inputDepth = this.Layers[n - 1].OutputDepth;
lastLayer = this.Layers[n - 1];
}
else if (!(layer is InputLayer<T>))
{
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5 changes: 3 additions & 2 deletions src/ConvNetSharp.Flow/ConvNetSharp.Flow.Nuget.csproj
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@@ -1,8 +1,9 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
</PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<PropertyGroup>
<Version>0.4.14</Version>
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5 changes: 3 additions & 2 deletions src/ConvNetSharp.Flow/ConvNetSharp.Flow.csproj
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@@ -1,8 +1,9 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
</PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<ItemGroup>
<Compile Remove="Properties\AssemblyInfo.cs" />
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3 changes: 2 additions & 1 deletion src/ConvNetSharp.Utils/ConvNetSharp.Utils.Nuget.csproj
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@@ -1,7 +1,8 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<PropertyGroup>
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3 changes: 2 additions & 1 deletion src/ConvNetSharp.Volume.GPU/ConvNetSharp.Volume.GPU.Nuget.csproj
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@@ -1,7 +1,8 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<PropertyGroup>
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3 changes: 2 additions & 1 deletion src/ConvNetSharp.Volume.GPU/ConvNetSharp.Volume.GPU.csproj
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@@ -1,6 +1,7 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
<AllowUnsafeBlocks>true</AllowUnsafeBlocks>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)|$(TargetFramework)|$(Platform)'=='Debug|netstandard2.0|AnyCPU'">
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29 changes: 21 additions & 8 deletions src/ConvNetSharp.Volume.GPU/Double/Volume.cs
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Expand Up @@ -288,10 +288,13 @@ public override void Convolution(Volume<double> filters, int xpad, int ypad, int
result.Shape.Dimensions[1],
result.Shape.Dimensions[0]);

var algo = this._context.CudnnContext.GetConvolutionForwardAlgorithm(
dataDesc, filterDesc,
convolutionDesc, outputDesc,
cudnnConvolutionFwdPreference.PreferFastest, IntPtr.Zero);
var algo = this._context.CudnnContext.FindConvolutionForwardAlgorithm(
dataDesc,
filterDesc,
convolutionDesc,
outputDesc,
1
).First().algo;

var workspaceSize = this._context.CudnnContext.GetConvolutionForwardWorkspaceSize(
dataDesc, filterDesc,
Expand Down Expand Up @@ -373,14 +376,24 @@ public override void ConvolutionGradient(Volume<double> filters, Volume<double>
filters.Shape.Dimensions[1],
filters.Shape.Dimensions[0]);

var filterAlgo = this._context.CudnnContext.GetConvolutionBackwardFilterAlgorithm(dataDesc, dOutputDesc,
convolutionDesc, dfilterDesc, cudnnConvolutionBwdFilterPreference.PreferFastest, IntPtr.Zero);
var filterAlgo = this._context.CudnnContext.FindConvolutionBackwardFilterAlgorithm(
dataDesc,
dOutputDesc,
convolutionDesc,
dfilterDesc,
1
).First().algo;
var filterWorkspaceSize = this._context.CudnnContext.GetConvolutionBackwardFilterWorkspaceSize(dataDesc,
dOutputDesc, convolutionDesc, dfilterDesc, filterAlgo);
filterWorkspaceSize = filterWorkspaceSize == 0 ? new SizeT(1) : filterWorkspaceSize;

var dataAlgo = this._context.CudnnContext.GetConvolutionBackwardDataAlgorithm(filterDesc, dOutputDesc,
convolutionDesc, dDataDesc, cudnnConvolutionBwdDataPreference.PreferFastest, IntPtr.Zero);
var dataAlgo = this._context.CudnnContext.FindConvolutionBackwardDataAlgorithm(
filterDesc,
dOutputDesc,
convolutionDesc,
dDataDesc,
1
).First().algo;
var dataWorkspaceSize = this._context.CudnnContext.GetConvolutionBackwardDataWorkspaceSize(dfilterDesc,
dOutputDesc, convolutionDesc, dDataDesc, dataAlgo);
dataWorkspaceSize = dataWorkspaceSize == 0 ? new SizeT(1) : dataWorkspaceSize;
Expand Down
29 changes: 21 additions & 8 deletions src/ConvNetSharp.Volume.GPU/Single/Volume.cs
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Expand Up @@ -287,10 +287,13 @@ public override void Convolution(Volume<float> filters, int xpad, int ypad, int
result.Shape.Dimensions[1],
result.Shape.Dimensions[0]);

var algo = this._context.CudnnContext.GetConvolutionForwardAlgorithm(
dataDesc, filterDesc,
convolutionDesc, outputDesc,
cudnnConvolutionFwdPreference.PreferFastest, IntPtr.Zero);
var algo = this._context.CudnnContext.FindConvolutionForwardAlgorithm(
dataDesc,
filterDesc,
convolutionDesc,
outputDesc,
1
).First().algo;

var workspaceSize = this._context.CudnnContext.GetConvolutionForwardWorkspaceSize(
dataDesc, filterDesc,
Expand Down Expand Up @@ -379,14 +382,24 @@ public override void ConvolutionGradient(Volume<float> filters, Volume<float> ou
filters.Shape.Dimensions[1],
filters.Shape.Dimensions[0]);

var filterAlgo = this._context.CudnnContext.GetConvolutionBackwardFilterAlgorithm(dataDesc, dOutputDesc,
convolutionDesc, dfilterDesc, cudnnConvolutionBwdFilterPreference.PreferFastest, IntPtr.Zero);
var filterAlgo = this._context.CudnnContext.FindConvolutionBackwardFilterAlgorithm(
dataDesc,
dOutputDesc,
convolutionDesc,
dfilterDesc,
1
).First().algo;
var filterWorkspaceSize = this._context.CudnnContext.GetConvolutionBackwardFilterWorkspaceSize(dataDesc,
dOutputDesc, convolutionDesc, dfilterDesc, filterAlgo);
filterWorkspaceSize = filterWorkspaceSize == 0 ? new SizeT(1) : filterWorkspaceSize;

var dataAlgo = this._context.CudnnContext.GetConvolutionBackwardDataAlgorithm(filterDesc, dOutputDesc,
convolutionDesc, dDataDesc, cudnnConvolutionBwdDataPreference.PreferFastest, IntPtr.Zero);
var dataAlgo = this._context.CudnnContext.FindConvolutionBackwardDataAlgorithm(
filterDesc,
dOutputDesc,
convolutionDesc,
dDataDesc,
1
).First().algo;
var dataWorkspaceSize = this._context.CudnnContext.GetConvolutionBackwardDataWorkspaceSize(dfilterDesc,
dOutputDesc, convolutionDesc, dDataDesc, dataAlgo);
dataWorkspaceSize = dataWorkspaceSize == 0 ? new SizeT(1) : dataWorkspaceSize;
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3 changes: 2 additions & 1 deletion src/ConvNetSharp.Volume/ConvNetSharp.Volume.csproj
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Original file line number Diff line number Diff line change
@@ -1,7 +1,8 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>netstandard2.1</TargetFramework>
<TargetFramework>netstandard2.0</TargetFramework>
<LangVersion>8.0</LangVersion>
</PropertyGroup>

<PropertyGroup>
Expand Down
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