// The following represent what .NET bindings would look like for a native library that wishes
// to deal take a sparse tensor and mutate its values
public static unsafe double ScalarPowerSparse(CompressedSparseTensor <double> tensor, int exponent)
{
fixed(double *valuesPtr = &MemoryMarshal.GetReference(tensor.Values.Span))
fixed(int *compressedCountsPtr = &MemoryMarshal.GetReference(tensor.CompressedCounts.Span))
fixed(int *indicesPtr = &MemoryMarshal.GetReference(tensor.Indices.Span))
{
return(ScalarPowerSparse(valuesPtr, compressedCountsPtr, indicesPtr, tensor.Dimensions.ToArray(), tensor.Rank, tensor.NonZeroCount, exponent));
}
}
// The following represent what .NET bindings would look like for a native library that needs to access Tensors of various layouts
public static unsafe void DumpContentsSparse(CompressedSparseTensor <double> tensor)
{
fixed(double *valuesPtr = &MemoryMarshal.GetReference(tensor.Values.Span))
fixed(int *compressedCountsPtr = &MemoryMarshal.GetReference(tensor.CompressedCounts.Span))
fixed(int *indicesPtr = &MemoryMarshal.GetReference(tensor.Indices.Span))
fixed(int *stridesPtr = &MemoryMarshal.GetReference(tensor.Strides))
{
DumpContentsSparse(valuesPtr, compressedCountsPtr, indicesPtr, stridesPtr, tensor.Rank, tensor.NonZeroCount);
}
}
// The following represent what .NET bindings would look like for a native library that needs to access Tensors of various layouts
public static unsafe void DumpContentsSparse(CompressedSparseTensor <double> tensor)
{
fixed(double *valuesPtr = &tensor.Values.Span.DangerousGetPinnableReference())
fixed(int *compressedCountsPtr = &tensor.CompressedCounts.Span.DangerousGetPinnableReference())
fixed(int *indicesPtr = &tensor.Indices.Span.DangerousGetPinnableReference())
fixed(int *stridesPtr = &tensor.Strides.DangerousGetPinnableReference())
{
DumpContentsSparse(valuesPtr, compressedCountsPtr, indicesPtr, stridesPtr, tensor.Rank, tensor.NonZeroCount);
}
}
public static void RunSample()
{
Console.WriteLine($"*** {nameof(Access)} ***");
foreach (var reversedStride in new[] { false, true })
{
Console.WriteLine($"{nameof(CompressedSparseTensor<double>)} : {nameof(reversedStride)} = {reversedStride}");
CompressedSparseTensor <double> tensor = new CompressedSparseTensor <double>(new[] { 3, 5, 4 }, 10, reversedStride);
tensor[0, 2, 0] = 1.6;
tensor[1, 0, 3] = 5.3;
tensor[1, 1, 0] = Math.PI;
tensor[2, 3, 3] = 867.5309;
tensor[2, 4, 0] = 19.4231;
tensor[2, 4, 3] = 10000.1;
DumpContentsSparse(tensor);
}
var arr = new[, , ]
{
{
{ 0.0, 1, 2 },
{ 3, 4, 5 }
},
{
{ 6, 7, 8 },
{ 9, 10, 11 },
},
{
{ 12, 13, 14 },
{ 15, 16, 17 },
},
{
{ 18, 19, 20 },
{ 21, 22, 23 },
}
};
foreach (var reversedStride in new[] { false, true })
{
Console.WriteLine($"{nameof(DenseTensor<double>)} : {nameof(reversedStride)} = {reversedStride}");
var tensor = arr.ToTensor(reversedStride);
DumpContentsDense(tensor);
}
}
public static void RunSample()
{
Console.WriteLine($"*** {nameof(MutateSparse)} ***");
CompressedSparseTensor <double> tensor = new CompressedSparseTensor <double>(new[] { 3, 5, 4 }, 10);
tensor[0, 2, 0] = 1.6;
tensor[1, 0, 3] = 5.3;
tensor[1, 1, 0] = Math.PI;
tensor[2, 3, 3] = 867.5309;
tensor[2, 4, 0] = 19.4231;
tensor[2, 4, 3] = 10000.1;
Console.WriteLine("Original tensor:");
Console.WriteLine(tensor.GetArrayString());
ScalarPowerSparse(tensor, 3);
Console.WriteLine("Cubed tensor:");
Console.WriteLine(tensor.GetArrayString());
}
