`Tensor.to(Tensor)` doesn't change `dtype` of `Tensor`.

[kaiidams]

PyTorch outputs torch.float64

import torch
x = torch.linspace(0, 1, 100, dtype=torch.float32)
y = torch.linspace(0, 1, 100, dtype=torch.float64)
x.to(y).dtype

TorchSharp (8005af9) outputs Float32.

// commit 8005af93ef3ebf66f3b246a4ccbe4ba791f7f9f9
using TorchSharp;
var x = torch.linspace(0, 1, 100, dtype: torch.float32);
var y = torch.linspace(0, 1, 100, dtype: torch.float64);
x.to(y).dtype

[kaiidams]

TorchSharp provides Tensor.type_as(Tensor) to change Tensor.dtype, however, this difference from PyTorch is confusing when poirting from PyTorch. Also in many case, to() is used to apply operators to two tensors where dtype and device of them need to be compatible.

[NiklasGustafsson]

@kaiidams -- this will be fixed in the next release (which I will release today).