public void CreateHalfTensorFromScalar()
{
float scalar = 333.0f;
using (var tensor = HalfTensor.From(scalar)) {
Assert.Equal(333.0f, tensor.ReadHalf(0));
}
}
public void CreateHalfTensorOnes()
{
var shape = new long[] { 2, 2 };
TorchTensor t = HalfTensor.Ones(shape);
Assert.Equal(shape, t.Shape);
Assert.Equal(1.0f, t.ReadHalf(0));
Assert.Equal(1.0f, t.ReadHalf(3));
}
public void RandomTest()
{
var res = FloatTensor.Random(new long[] { 2 });
Assert.Equal(new long[] { 2 }, res.Shape);
var res1 = ShortTensor.RandomIntegers(10, new long[] { 200 });
Assert.Equal(new long[] { 200 }, res1.Shape);
var res2 = IntTensor.RandomIntegers(10, new long[] { 200 });
Assert.Equal(new long[] { 200 }, res2.Shape);
var res3 = LongTensor.RandomIntegers(10, new long[] { 200 });
Assert.Equal(new long[] { 200 }, res3.Shape);
var res4 = ByteTensor.RandomIntegers(10, new long[] { 200 });
Assert.Equal(new long[] { 200 }, res4.Shape);
var res5 = SByteTensor.RandomIntegers(10, new long[] { 200 });
Assert.Equal(new long[] { 200 }, res5.Shape);
var res6 = HalfTensor.RandomIntegers(10, new long[] { 200 });
Assert.Equal(new long[] { 200 }, res6.Shape);
//var res7 = ComplexHalfTensor.RandomIntegers(10, new long[] { 200 });
//Assert.Equal(new long[] { 200 }, res7.Shape);
//var res8 = ComplexFloatTensor.RandomIntegers(10, new long[] { 200 });
//Assert.Equal(new long[] { 200 }, res8.Shape);
//var res9 = ComplexDoubleTensor.RandomIntegers(10, new long[] { 200 });
//Assert.Equal(new long[] { 200 }, res9.Shape);
}
public void CreateHalfTensorFromDataCheckStrides()
{
var data = new float[] { 0.2663158f, 0.1144736f, 0.1147367f, 0.1249998f, 0.1957895f, 0.1231576f, 0.1944732f, 0.111842f, 0.1065789f, 0.667881f, 0.5682123f, 0.5824502f, 0.4824504f, 0.4844371f, 0.6463582f, 0.5334439f, 0.5079474f, 0.2281452f };
var dataTensor = HalfTensor.From(data, new long[] { 2, 9 });
for (int r = 0; r < 2; r++)
{
for (int i = 0; i < 9; i++)
{
var fromData = data[(r * 9) + i];
var fromTensor = dataTensor.ReadHalf((r * 9) + i);
Assert.True(Math.Abs(fromData - fromTensor) < 0.01);
}
}
var firstHalf = dataTensor[0];
for (int i = 0; i < 9; i++)
{
var fromData = data[i];
var fromChunk = firstHalf.ReadHalf(i);
Assert.True(Math.Abs(fromData - fromChunk) < 0.01);
}
}
