public static void Main(string [] args)
{
var x = new FloatTensor(10);
var b = new FloatTensor(10);
b.Fill(30);
Dump(b);
x.Random(new RandomGenerator(), 10);
FloatTensor.Add(x, 100, b);
Dump(x);
Dump(b);
#if false
Dump(x);
var y = x.Add(100);
Dump(y);
#endif
for (int i = 0; i < 1000; i++)
{
using (var a = new FloatTensor(1000)){
using (var c = new FloatTensor(1000)) {
var d = a.Add(10);
a.CAdd(0, d);
d.Dispose();
}
}
}
}
public void TestPoissonNLLLoss2()
{
using (TorchTensor input = FloatTensor.Random(new long[] { 5, 2 }))
using (TorchTensor target = FloatTensor.Random(new long[] { 5, 2 }))
{
var outTensor = NN.LossFunction.PoissonNLL(true, true)(input, target);
}
}
public void TestPoissonNLLLoss2()
{
using (TorchTensor input = FloatTensor.Random(new long[] { 5, 2 }))
using (TorchTensor target = FloatTensor.Random(new long[] { 5, 2 }))
{
Assert.IsNotNull(NN.LossFunction.PoissonNLL(true, true)(input, target));
}
}
public void TestSetGrad()
{
var x = FloatTensor.Random(new long[] { 10, 10 });
Assert.False(x.IsGradRequired);
x.RequiresGrad(true);
Assert.True(x.IsGradRequired);
x.RequiresGrad(false);
Assert.False(x.IsGradRequired);
}
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);
}
