slice bug

[whuanle]

TorchSharp can't slice like Pytorch.

Python：

arr = torch.asarray([[1,2,3],[4,5,6]])

print(arr[0,2])
print(arr[1,2])

result:

tensor(3)
tensor(6)

C#:

var arr = torch.from_array(new[,] { { 1, 2, 3 }, { 4, 5, 6 } });

var a = arr[0, 2];
a.print(style: TensorStringStyle.Numpy);
var b = arr[1, 2];
b.print(style: TensorStringStyle.Numpy);

result:

But if you get a layer, it's normal.

[yueyinqiu]

It seems to be the problem of print instead of slice:

[yueyinqiu]

Maybe related to #1250

[yueyinqiu]

I have found why the problem was not discovered at that time. The unit test Validate_1250 uses torch.zeros(0) to create the tensor. However this is a 1d tensor rather than a scalar (although there is no element inside it).

The unit test should be look like this instead:

        [Fact]
        public void Validate_1250()
        {
            var scalar = torch.zeros(Array.Empty<long>());
            Assert.Equal("0", scalar.npstr());
            Assert.Equal("[], type = Float32, device = cpu, value = 0", scalar.cstr());
        }

---

By the way, the expected value for cstr is set to the current result. But it's a bit strange, if we compare those three below:

using TorchSharp;

var zero = torch.tensor(0f);
var one = torch.tensor(new float[] { 0, 0 });
var two = torch.tensor(new float[,] { { 0, 0 }, { 0, 0 } });

Console.WriteLine(zero.cstr());
// [], type = Float32, device = cpu, value = 0

Console.WriteLine(one.cstr());
// [2], type = Float32, device = cpu, value = float [] {0f, 0f}

Console.WriteLine(two.cstr());
/*
[2x2], type = Float32, device = cpu, value =
float [,] {
 {0f, 0f},
 {0f, 0f}
}
*/

Maybe I would expect it to be [], type = Float32, device = cpu, value = float 0f.

If we want to follow you should be able to copy the output and paste it into your code, maybe it should be float (0f) to meet the pattern of new xxxxxx.